Class: Aws::Glue::Client

Inherits:

Seahorse::Client::Base

Object
Seahorse::Client::Base
Aws::Glue::Client

show all

Includes:: ClientStubs

Defined in:: gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb

Overview

An API client for Glue. To construct a client, you need to configure a :region and :credentials.

client = Aws::Glue::Client.new(
  region: region_name,
  credentials: credentials,
  # ...
)

For details on configuring region and credentials see the developer guide.

See #initialize for a full list of supported configuration options.

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

#config, #handlers

API Operations collapse

#batch_create_partition(params = {}) ⇒ Types::BatchCreatePartitionResponse
Creates one or more partitions in a batch operation.
#batch_delete_connection(params = {}) ⇒ Types::BatchDeleteConnectionResponse
Deletes a list of connection definitions from the Data Catalog.
#batch_delete_partition(params = {}) ⇒ Types::BatchDeletePartitionResponse
Deletes one or more partitions in a batch operation.
#batch_delete_table(params = {}) ⇒ Types::BatchDeleteTableResponse
Deletes multiple tables at once.
#batch_delete_table_version(params = {}) ⇒ Types::BatchDeleteTableVersionResponse
Deletes a specified batch of versions of a table.
#batch_get_blueprints(params = {}) ⇒ Types::BatchGetBlueprintsResponse
Retrieves information about a list of blueprints.
#batch_get_crawlers(params = {}) ⇒ Types::BatchGetCrawlersResponse
Returns a list of resource metadata for a given list of crawler names.
#batch_get_custom_entity_types(params = {}) ⇒ Types::BatchGetCustomEntityTypesResponse
Retrieves the details for the custom patterns specified by a list of names.
#batch_get_data_quality_result(params = {}) ⇒ Types::BatchGetDataQualityResultResponse
Retrieves a list of data quality results for the specified result IDs.
#batch_get_dev_endpoints(params = {}) ⇒ Types::BatchGetDevEndpointsResponse
Returns a list of resource metadata for a given list of development endpoint names.
#batch_get_jobs(params = {}) ⇒ Types::BatchGetJobsResponse
Returns a list of resource metadata for a given list of job names.
#batch_get_partition(params = {}) ⇒ Types::BatchGetPartitionResponse
Retrieves partitions in a batch request.
#batch_get_table_optimizer(params = {}) ⇒ Types::BatchGetTableOptimizerResponse
Returns the configuration for the specified table optimizers.
#batch_get_triggers(params = {}) ⇒ Types::BatchGetTriggersResponse
Returns a list of resource metadata for a given list of trigger names.
#batch_get_workflows(params = {}) ⇒ Types::BatchGetWorkflowsResponse
Returns a list of resource metadata for a given list of workflow names.
#batch_put_data_quality_statistic_annotation(params = {}) ⇒ Types::BatchPutDataQualityStatisticAnnotationResponse
Annotate datapoints over time for a specific data quality statistic.
#batch_stop_job_run(params = {}) ⇒ Types::BatchStopJobRunResponse
Stops one or more job runs for a specified job definition.
#batch_update_partition(params = {}) ⇒ Types::BatchUpdatePartitionResponse
Updates one or more partitions in a batch operation.
#cancel_data_quality_rule_recommendation_run(params = {}) ⇒ Struct
Cancels the specified recommendation run that was being used to generate rules.
#cancel_data_quality_ruleset_evaluation_run(params = {}) ⇒ Struct
Cancels a run where a ruleset is being evaluated against a data source.
#cancel_ml_task_run(params = {}) ⇒ Types::CancelMLTaskRunResponse
Cancels (stops) a task run.
#cancel_statement(params = {}) ⇒ Struct
Cancels the statement.
#check_schema_version_validity(params = {}) ⇒ Types::CheckSchemaVersionValidityResponse
Validates the supplied schema.
#create_blueprint(params = {}) ⇒ Types::CreateBlueprintResponse
Registers a blueprint with Glue.
#create_catalog(params = {}) ⇒ Struct
Creates a new catalog in the Glue Data Catalog.
#create_classifier(params = {}) ⇒ Struct
Creates a classifier in the user's account.
#create_column_statistics_task_settings(params = {}) ⇒ Struct
Creates settings for a column statistics task.
#create_connection(params = {}) ⇒ Types::CreateConnectionResponse
Creates a connection definition in the Data Catalog.
#create_crawler(params = {}) ⇒ Struct
Creates a new crawler with specified targets, role, configuration, and optional schedule.
#create_custom_entity_type(params = {}) ⇒ Types::CreateCustomEntityTypeResponse
Creates a custom pattern that is used to detect sensitive data across the columns and rows of your structured data.
#create_data_quality_ruleset(params = {}) ⇒ Types::CreateDataQualityRulesetResponse
Creates a data quality ruleset with DQDL rules applied to a specified Glue table.
#create_database(params = {}) ⇒ Struct
Creates a new database in a Data Catalog.
#create_dev_endpoint(params = {}) ⇒ Types::CreateDevEndpointResponse
Creates a new development endpoint.
#create_integration(params = {}) ⇒ Types::CreateIntegrationResponse
Creates a Zero-ETL integration in the caller's account between two resources with Amazon Resource Names (ARNs): the SourceArn and TargetArn.
#create_integration_resource_property(params = {}) ⇒ Types::CreateIntegrationResourcePropertyResponse
This API can be used for setting up the ResourceProperty of the Glue connection (for the source) or Glue database ARN (for the target).
#create_integration_table_properties(params = {}) ⇒ Struct
This API is used to provide optional override properties for the the tables that need to be replicated.
#create_job(params = {}) ⇒ Types::CreateJobResponse
Creates a new job definition.
#create_ml_transform(params = {}) ⇒ Types::CreateMLTransformResponse
Creates an Glue machine learning transform.
#create_partition(params = {}) ⇒ Struct
Creates a new partition.
#create_partition_index(params = {}) ⇒ Struct
Creates a specified partition index in an existing table.
#create_registry(params = {}) ⇒ Types::CreateRegistryResponse
Creates a new registry which may be used to hold a collection of schemas.
#create_schema(params = {}) ⇒ Types::CreateSchemaResponse
Creates a new schema set and registers the schema definition.
#create_script(params = {}) ⇒ Types::CreateScriptResponse
Transforms a directed acyclic graph (DAG) into code.
#create_security_configuration(params = {}) ⇒ Types::CreateSecurityConfigurationResponse
Creates a new security configuration.
#create_session(params = {}) ⇒ Types::CreateSessionResponse
Creates a new session.
#create_table(params = {}) ⇒ Struct
Creates a new table definition in the Data Catalog.
#create_table_optimizer(params = {}) ⇒ Struct
Creates a new table optimizer for a specific function.
#create_trigger(params = {}) ⇒ Types::CreateTriggerResponse
Creates a new trigger.
#create_usage_profile(params = {}) ⇒ Types::CreateUsageProfileResponse
Creates an Glue usage profile.
#create_user_defined_function(params = {}) ⇒ Struct
Creates a new function definition in the Data Catalog.
#create_workflow(params = {}) ⇒ Types::CreateWorkflowResponse
Creates a new workflow.
#delete_blueprint(params = {}) ⇒ Types::DeleteBlueprintResponse
Deletes an existing blueprint.
#delete_catalog(params = {}) ⇒ Struct
Removes the specified catalog from the Glue Data Catalog.
#delete_classifier(params = {}) ⇒ Struct
Removes a classifier from the Data Catalog.
#delete_column_statistics_for_partition(params = {}) ⇒ Struct
Delete the partition column statistics of a column.
#delete_column_statistics_for_table(params = {}) ⇒ Struct
Retrieves table statistics of columns.
#delete_column_statistics_task_settings(params = {}) ⇒ Struct
Deletes settings for a column statistics task.
#delete_connection(params = {}) ⇒ Struct
Deletes a connection from the Data Catalog.
#delete_crawler(params = {}) ⇒ Struct
Removes a specified crawler from the Glue Data Catalog, unless the crawler state is RUNNING.
#delete_custom_entity_type(params = {}) ⇒ Types::DeleteCustomEntityTypeResponse
Deletes a custom pattern by specifying its name.
#delete_data_quality_ruleset(params = {}) ⇒ Struct
Deletes a data quality ruleset.
#delete_database(params = {}) ⇒ Struct
Removes a specified database from a Data Catalog.
#delete_dev_endpoint(params = {}) ⇒ Struct
Deletes a specified development endpoint.
#delete_integration(params = {}) ⇒ Types::DeleteIntegrationResponse
Deletes the specified Zero-ETL integration.
#delete_integration_table_properties(params = {}) ⇒ Struct
Deletes the table properties that have been created for the tables that need to be replicated.
#delete_job(params = {}) ⇒ Types::DeleteJobResponse
Deletes a specified job definition.
#delete_ml_transform(params = {}) ⇒ Types::DeleteMLTransformResponse
Deletes an Glue machine learning transform.
#delete_partition(params = {}) ⇒ Struct
Deletes a specified partition.
#delete_partition_index(params = {}) ⇒ Struct
Deletes a specified partition index from an existing table.
#delete_registry(params = {}) ⇒ Types::DeleteRegistryResponse
Delete the entire registry including schema and all of its versions.
#delete_resource_policy(params = {}) ⇒ Struct
Deletes a specified policy.
#delete_schema(params = {}) ⇒ Types::DeleteSchemaResponse
Deletes the entire schema set, including the schema set and all of its versions.
#delete_schema_versions(params = {}) ⇒ Types::DeleteSchemaVersionsResponse
Remove versions from the specified schema.
#delete_security_configuration(params = {}) ⇒ Struct
Deletes a specified security configuration.
#delete_session(params = {}) ⇒ Types::DeleteSessionResponse
Deletes the session.
#delete_table(params = {}) ⇒ Struct
Removes a table definition from the Data Catalog.
#delete_table_optimizer(params = {}) ⇒ Struct
Deletes an optimizer and all associated metadata for a table.
#delete_table_version(params = {}) ⇒ Struct
Deletes a specified version of a table.
#delete_trigger(params = {}) ⇒ Types::DeleteTriggerResponse
Deletes a specified trigger.
#delete_usage_profile(params = {}) ⇒ Struct
Deletes the Glue specified usage profile.
#delete_user_defined_function(params = {}) ⇒ Struct
Deletes an existing function definition from the Data Catalog.
#delete_workflow(params = {}) ⇒ Types::DeleteWorkflowResponse
Deletes a workflow.
#describe_connection_type(params = {}) ⇒ Types::DescribeConnectionTypeResponse
The DescribeConnectionType API provides full details of the supported options for a given connection type in Glue.
#describe_entity(params = {}) ⇒ Types::DescribeEntityResponse
Provides details regarding the entity used with the connection type, with a description of the data model for each field in the selected entity.
#describe_inbound_integrations(params = {}) ⇒ Types::DescribeInboundIntegrationsResponse
Returns a list of inbound integrations for the specified integration.
#describe_integrations(params = {}) ⇒ Types::DescribeIntegrationsResponse
The API is used to retrieve a list of integrations.
#get_blueprint(params = {}) ⇒ Types::GetBlueprintResponse
Retrieves the details of a blueprint.
#get_blueprint_run(params = {}) ⇒ Types::GetBlueprintRunResponse
Retrieves the details of a blueprint run.
#get_blueprint_runs(params = {}) ⇒ Types::GetBlueprintRunsResponse
Retrieves the details of blueprint runs for a specified blueprint.
#get_catalog(params = {}) ⇒ Types::GetCatalogResponse
The name of the Catalog to retrieve.
#get_catalog_import_status(params = {}) ⇒ Types::GetCatalogImportStatusResponse
Retrieves the status of a migration operation.
#get_catalogs(params = {}) ⇒ Types::GetCatalogsResponse
Retrieves all catalogs defined in a catalog in the Glue Data Catalog.
#get_classifier(params = {}) ⇒ Types::GetClassifierResponse
Retrieve a classifier by name.
#get_classifiers(params = {}) ⇒ Types::GetClassifiersResponse
Lists all classifier objects in the Data Catalog.
#get_column_statistics_for_partition(params = {}) ⇒ Types::GetColumnStatisticsForPartitionResponse
Retrieves partition statistics of columns.
#get_column_statistics_for_table(params = {}) ⇒ Types::GetColumnStatisticsForTableResponse
Retrieves table statistics of columns.
#get_column_statistics_task_run(params = {}) ⇒ Types::GetColumnStatisticsTaskRunResponse
Get the associated metadata/information for a task run, given a task run ID.
#get_column_statistics_task_runs(params = {}) ⇒ Types::GetColumnStatisticsTaskRunsResponse
Retrieves information about all runs associated with the specified table.
#get_column_statistics_task_settings(params = {}) ⇒ Types::GetColumnStatisticsTaskSettingsResponse
Gets settings for a column statistics task.
#get_connection(params = {}) ⇒ Types::GetConnectionResponse
Retrieves a connection definition from the Data Catalog.
#get_connections(params = {}) ⇒ Types::GetConnectionsResponse
Retrieves a list of connection definitions from the Data Catalog.
#get_crawler(params = {}) ⇒ Types::GetCrawlerResponse
Retrieves metadata for a specified crawler.
#get_crawler_metrics(params = {}) ⇒ Types::GetCrawlerMetricsResponse
Retrieves metrics about specified crawlers.
#get_crawlers(params = {}) ⇒ Types::GetCrawlersResponse
Retrieves metadata for all crawlers defined in the customer account.
#get_custom_entity_type(params = {}) ⇒ Types::GetCustomEntityTypeResponse
Retrieves the details of a custom pattern by specifying its name.
#get_data_catalog_encryption_settings(params = {}) ⇒ Types::GetDataCatalogEncryptionSettingsResponse
Retrieves the security configuration for a specified catalog.
#get_data_quality_model(params = {}) ⇒ Types::GetDataQualityModelResponse
Retrieve the training status of the model along with more information (CompletedOn, StartedOn, FailureReason).
#get_data_quality_model_result(params = {}) ⇒ Types::GetDataQualityModelResultResponse
Retrieve a statistic's predictions for a given Profile ID.
#get_data_quality_result(params = {}) ⇒ Types::GetDataQualityResultResponse
Retrieves the result of a data quality rule evaluation.
#get_data_quality_rule_recommendation_run(params = {}) ⇒ Types::GetDataQualityRuleRecommendationRunResponse
Gets the specified recommendation run that was used to generate rules.
#get_data_quality_ruleset(params = {}) ⇒ Types::GetDataQualityRulesetResponse
Returns an existing ruleset by identifier or name.
#get_data_quality_ruleset_evaluation_run(params = {}) ⇒ Types::GetDataQualityRulesetEvaluationRunResponse
Retrieves a specific run where a ruleset is evaluated against a data source.
#get_database(params = {}) ⇒ Types::GetDatabaseResponse
Retrieves the definition of a specified database.
#get_databases(params = {}) ⇒ Types::GetDatabasesResponse
Retrieves all databases defined in a given Data Catalog.
#get_dataflow_graph(params = {}) ⇒ Types::GetDataflowGraphResponse
Transforms a Python script into a directed acyclic graph (DAG).
#get_dev_endpoint(params = {}) ⇒ Types::GetDevEndpointResponse
Retrieves information about a specified development endpoint.
#get_dev_endpoints(params = {}) ⇒ Types::GetDevEndpointsResponse
Retrieves all the development endpoints in this Amazon Web Services account.
#get_entity_records(params = {}) ⇒ Types::GetEntityRecordsResponse
This API is used to query preview data from a given connection type or from a native Amazon S3 based Glue Data Catalog.
#get_integration_resource_property(params = {}) ⇒ Types::GetIntegrationResourcePropertyResponse
This API is used for fetching the ResourceProperty of the Glue connection (for the source) or Glue database ARN (for the target).
#get_integration_table_properties(params = {}) ⇒ Types::GetIntegrationTablePropertiesResponse
This API is used to retrieve optional override properties for the tables that need to be replicated.
#get_job(params = {}) ⇒ Types::GetJobResponse
Retrieves an existing job definition.
#get_job_bookmark(params = {}) ⇒ Types::GetJobBookmarkResponse
Returns information on a job bookmark entry.
#get_job_run(params = {}) ⇒ Types::GetJobRunResponse
Retrieves the metadata for a given job run.
#get_job_runs(params = {}) ⇒ Types::GetJobRunsResponse
Retrieves metadata for all runs of a given job definition.
#get_jobs(params = {}) ⇒ Types::GetJobsResponse
Retrieves all current job definitions.
#get_mapping(params = {}) ⇒ Types::GetMappingResponse
Creates mappings.
#get_ml_task_run(params = {}) ⇒ Types::GetMLTaskRunResponse
Gets details for a specific task run on a machine learning transform.
#get_ml_task_runs(params = {}) ⇒ Types::GetMLTaskRunsResponse
Gets a list of runs for a machine learning transform.
#get_ml_transform(params = {}) ⇒ Types::GetMLTransformResponse
Gets an Glue machine learning transform artifact and all its corresponding metadata.
#get_ml_transforms(params = {}) ⇒ Types::GetMLTransformsResponse
Gets a sortable, filterable list of existing Glue machine learning transforms.
#get_partition(params = {}) ⇒ Types::GetPartitionResponse
Retrieves information about a specified partition.
#get_partition_indexes(params = {}) ⇒ Types::GetPartitionIndexesResponse
Retrieves the partition indexes associated with a table.
#get_partitions(params = {}) ⇒ Types::GetPartitionsResponse
Retrieves information about the partitions in a table.
#get_plan(params = {}) ⇒ Types::GetPlanResponse
Gets code to perform a specified mapping.
#get_registry(params = {}) ⇒ Types::GetRegistryResponse
Describes the specified registry in detail.
#get_resource_policies(params = {}) ⇒ Types::GetResourcePoliciesResponse
Retrieves the resource policies set on individual resources by Resource Access Manager during cross-account permission grants.
#get_resource_policy(params = {}) ⇒ Types::GetResourcePolicyResponse
Retrieves a specified resource policy.
#get_schema(params = {}) ⇒ Types::GetSchemaResponse
Describes the specified schema in detail.
#get_schema_by_definition(params = {}) ⇒ Types::GetSchemaByDefinitionResponse
Retrieves a schema by the SchemaDefinition.
#get_schema_version(params = {}) ⇒ Types::GetSchemaVersionResponse
Get the specified schema by its unique ID assigned when a version of the schema is created or registered.
#get_schema_versions_diff(params = {}) ⇒ Types::GetSchemaVersionsDiffResponse
Fetches the schema version difference in the specified difference type between two stored schema versions in the Schema Registry.
#get_security_configuration(params = {}) ⇒ Types::GetSecurityConfigurationResponse
Retrieves a specified security configuration.
#get_security_configurations(params = {}) ⇒ Types::GetSecurityConfigurationsResponse
Retrieves a list of all security configurations.
#get_session(params = {}) ⇒ Types::GetSessionResponse
Retrieves the session.
#get_statement(params = {}) ⇒ Types::GetStatementResponse
Retrieves the statement.
#get_table(params = {}) ⇒ Types::GetTableResponse
Retrieves the Table definition in a Data Catalog for a specified table.
#get_table_optimizer(params = {}) ⇒ Types::GetTableOptimizerResponse
Returns the configuration of all optimizers associated with a specified table.
#get_table_version(params = {}) ⇒ Types::GetTableVersionResponse
Retrieves a specified version of a table.
#get_table_versions(params = {}) ⇒ Types::GetTableVersionsResponse
Retrieves a list of strings that identify available versions of a specified table.
#get_tables(params = {}) ⇒ Types::GetTablesResponse
Retrieves the definitions of some or all of the tables in a given Database.
#get_tags(params = {}) ⇒ Types::GetTagsResponse
Retrieves a list of tags associated with a resource.
#get_trigger(params = {}) ⇒ Types::GetTriggerResponse
Retrieves the definition of a trigger.
#get_triggers(params = {}) ⇒ Types::GetTriggersResponse
Gets all the triggers associated with a job.
#get_unfiltered_partition_metadata(params = {}) ⇒ Types::GetUnfilteredPartitionMetadataResponse
Retrieves partition metadata from the Data Catalog that contains unfiltered metadata.
#get_unfiltered_partitions_metadata(params = {}) ⇒ Types::GetUnfilteredPartitionsMetadataResponse
Retrieves partition metadata from the Data Catalog that contains unfiltered metadata.
#get_unfiltered_table_metadata(params = {}) ⇒ Types::GetUnfilteredTableMetadataResponse
Allows a third-party analytical engine to retrieve unfiltered table metadata from the Data Catalog.
#get_usage_profile(params = {}) ⇒ Types::GetUsageProfileResponse
Retrieves information about the specified Glue usage profile.
#get_user_defined_function(params = {}) ⇒ Types::GetUserDefinedFunctionResponse
Retrieves a specified function definition from the Data Catalog.
#get_user_defined_functions(params = {}) ⇒ Types::GetUserDefinedFunctionsResponse
Retrieves multiple function definitions from the Data Catalog.
#get_workflow(params = {}) ⇒ Types::GetWorkflowResponse
Retrieves resource metadata for a workflow.
#get_workflow_run(params = {}) ⇒ Types::GetWorkflowRunResponse
Retrieves the metadata for a given workflow run.
#get_workflow_run_properties(params = {}) ⇒ Types::GetWorkflowRunPropertiesResponse
Retrieves the workflow run properties which were set during the run.
#get_workflow_runs(params = {}) ⇒ Types::GetWorkflowRunsResponse
Retrieves metadata for all runs of a given workflow.
#import_catalog_to_glue(params = {}) ⇒ Struct
Imports an existing Amazon Athena Data Catalog to Glue.
#list_blueprints(params = {}) ⇒ Types::ListBlueprintsResponse
Lists all the blueprint names in an account.
#list_column_statistics_task_runs(params = {}) ⇒ Types::ListColumnStatisticsTaskRunsResponse
List all task runs for a particular account.
#list_connection_types(params = {}) ⇒ Types::ListConnectionTypesResponse
The ListConnectionTypes API provides a discovery mechanism to learn available connection types in Glue.
#list_crawlers(params = {}) ⇒ Types::ListCrawlersResponse
Retrieves the names of all crawler resources in this Amazon Web Services account, or the resources with the specified tag.
#list_crawls(params = {}) ⇒ Types::ListCrawlsResponse
Returns all the crawls of a specified crawler.
#list_custom_entity_types(params = {}) ⇒ Types::ListCustomEntityTypesResponse
Lists all the custom patterns that have been created.
#list_data_quality_results(params = {}) ⇒ Types::ListDataQualityResultsResponse
Returns all data quality execution results for your account.
#list_data_quality_rule_recommendation_runs(params = {}) ⇒ Types::ListDataQualityRuleRecommendationRunsResponse
Lists the recommendation runs meeting the filter criteria.
#list_data_quality_ruleset_evaluation_runs(params = {}) ⇒ Types::ListDataQualityRulesetEvaluationRunsResponse
Lists all the runs meeting the filter criteria, where a ruleset is evaluated against a data source.
#list_data_quality_rulesets(params = {}) ⇒ Types::ListDataQualityRulesetsResponse
Returns a paginated list of rulesets for the specified list of Glue tables.
#list_data_quality_statistic_annotations(params = {}) ⇒ Types::ListDataQualityStatisticAnnotationsResponse
Retrieve annotations for a data quality statistic.
#list_data_quality_statistics(params = {}) ⇒ Types::ListDataQualityStatisticsResponse
Retrieves a list of data quality statistics.
#list_dev_endpoints(params = {}) ⇒ Types::ListDevEndpointsResponse
Retrieves the names of all DevEndpoint resources in this Amazon Web Services account, or the resources with the specified tag.
#list_entities(params = {}) ⇒ Types::ListEntitiesResponse
Returns the available entities supported by the connection type.
#list_jobs(params = {}) ⇒ Types::ListJobsResponse
Retrieves the names of all job resources in this Amazon Web Services account, or the resources with the specified tag.
#list_ml_transforms(params = {}) ⇒ Types::ListMLTransformsResponse
Retrieves a sortable, filterable list of existing Glue machine learning transforms in this Amazon Web Services account, or the resources with the specified tag.
#list_registries(params = {}) ⇒ Types::ListRegistriesResponse
Returns a list of registries that you have created, with minimal registry information.
#list_schema_versions(params = {}) ⇒ Types::ListSchemaVersionsResponse
Returns a list of schema versions that you have created, with minimal information.
#list_schemas(params = {}) ⇒ Types::ListSchemasResponse
Returns a list of schemas with minimal details.
#list_sessions(params = {}) ⇒ Types::ListSessionsResponse
Retrieve a list of sessions.
#list_statements(params = {}) ⇒ Types::ListStatementsResponse
Lists statements for the session.
#list_table_optimizer_runs(params = {}) ⇒ Types::ListTableOptimizerRunsResponse
Lists the history of previous optimizer runs for a specific table.
#list_triggers(params = {}) ⇒ Types::ListTriggersResponse
Retrieves the names of all trigger resources in this Amazon Web Services account, or the resources with the specified tag.
#list_usage_profiles(params = {}) ⇒ Types::ListUsageProfilesResponse
List all the Glue usage profiles.
#list_workflows(params = {}) ⇒ Types::ListWorkflowsResponse
Lists names of workflows created in the account.
#modify_integration(params = {}) ⇒ Types::ModifyIntegrationResponse
Modifies a Zero-ETL integration in the caller's account.
#put_data_catalog_encryption_settings(params = {}) ⇒ Struct
Sets the security configuration for a specified catalog.
#put_data_quality_profile_annotation(params = {}) ⇒ Struct
Annotate all datapoints for a Profile.
#put_resource_policy(params = {}) ⇒ Types::PutResourcePolicyResponse
Sets the Data Catalog resource policy for access control.
#put_schema_version_metadata(params = {}) ⇒ Types::PutSchemaVersionMetadataResponse
Puts the metadata key value pair for a specified schema version ID.
#put_workflow_run_properties(params = {}) ⇒ Struct
Puts the specified workflow run properties for the given workflow run.
#query_schema_version_metadata(params = {}) ⇒ Types::QuerySchemaVersionMetadataResponse
Queries for the schema version metadata information.
#register_schema_version(params = {}) ⇒ Types::RegisterSchemaVersionResponse
Adds a new version to the existing schema.
#remove_schema_version_metadata(params = {}) ⇒ Types::RemoveSchemaVersionMetadataResponse
Removes a key value pair from the schema version metadata for the specified schema version ID.
#reset_job_bookmark(params = {}) ⇒ Types::ResetJobBookmarkResponse
Resets a bookmark entry.
#resume_workflow_run(params = {}) ⇒ Types::ResumeWorkflowRunResponse
Restarts selected nodes of a previous partially completed workflow run and resumes the workflow run.
#run_statement(params = {}) ⇒ Types::RunStatementResponse
Executes the statement.
#search_tables(params = {}) ⇒ Types::SearchTablesResponse
Searches a set of tables based on properties in the table metadata as well as on the parent database.
#start_blueprint_run(params = {}) ⇒ Types::StartBlueprintRunResponse
Starts a new run of the specified blueprint.
#start_column_statistics_task_run(params = {}) ⇒ Types::StartColumnStatisticsTaskRunResponse
Starts a column statistics task run, for a specified table and columns.
#start_column_statistics_task_run_schedule(params = {}) ⇒ Struct
Starts a column statistics task run schedule.
#start_crawler(params = {}) ⇒ Struct
Starts a crawl using the specified crawler, regardless of what is scheduled.
#start_crawler_schedule(params = {}) ⇒ Struct
Changes the schedule state of the specified crawler to SCHEDULED, unless the crawler is already running or the schedule state is already SCHEDULED.
#start_data_quality_rule_recommendation_run(params = {}) ⇒ Types::StartDataQualityRuleRecommendationRunResponse
Starts a recommendation run that is used to generate rules when you don't know what rules to write.
#start_data_quality_ruleset_evaluation_run(params = {}) ⇒ Types::StartDataQualityRulesetEvaluationRunResponse
Once you have a ruleset definition (either recommended or your own), you call this operation to evaluate the ruleset against a data source (Glue table).
#start_export_labels_task_run(params = {}) ⇒ Types::StartExportLabelsTaskRunResponse
Begins an asynchronous task to export all labeled data for a particular transform.
#start_import_labels_task_run(params = {}) ⇒ Types::StartImportLabelsTaskRunResponse
Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform and improve its quality.
#start_job_run(params = {}) ⇒ Types::StartJobRunResponse
Starts a job run using a job definition.
#start_ml_evaluation_task_run(params = {}) ⇒ Types::StartMLEvaluationTaskRunResponse
Starts a task to estimate the quality of the transform.
#start_ml_labeling_set_generation_task_run(params = {}) ⇒ Types::StartMLLabelingSetGenerationTaskRunResponse
Starts the active learning workflow for your machine learning transform to improve the transform's quality by generating label sets and adding labels.
#start_trigger(params = {}) ⇒ Types::StartTriggerResponse
Starts an existing trigger.
#start_workflow_run(params = {}) ⇒ Types::StartWorkflowRunResponse
Starts a new run of the specified workflow.
#stop_column_statistics_task_run(params = {}) ⇒ Struct
Stops a task run for the specified table.
#stop_column_statistics_task_run_schedule(params = {}) ⇒ Struct
Stops a column statistics task run schedule.
#stop_crawler(params = {}) ⇒ Struct
If the specified crawler is running, stops the crawl.
#stop_crawler_schedule(params = {}) ⇒ Struct
Sets the schedule state of the specified crawler to NOT_SCHEDULED, but does not stop the crawler if it is already running.
#stop_session(params = {}) ⇒ Types::StopSessionResponse
Stops the session.
#stop_trigger(params = {}) ⇒ Types::StopTriggerResponse
Stops a specified trigger.
#stop_workflow_run(params = {}) ⇒ Struct
Stops the execution of the specified workflow run.
#tag_resource(params = {}) ⇒ Struct
Adds tags to a resource.
#test_connection(params = {}) ⇒ Struct
Tests a connection to a service to validate the service credentials that you provide.
#untag_resource(params = {}) ⇒ Struct
Removes tags from a resource.
#update_blueprint(params = {}) ⇒ Types::UpdateBlueprintResponse
Updates a registered blueprint.
#update_catalog(params = {}) ⇒ Struct
Updates an existing catalog's properties in the Glue Data Catalog.
#update_classifier(params = {}) ⇒ Struct
Modifies an existing classifier (a GrokClassifier, an XMLClassifier, a JsonClassifier, or a CsvClassifier, depending on which field is present).
#update_column_statistics_for_partition(params = {}) ⇒ Types::UpdateColumnStatisticsForPartitionResponse
Creates or updates partition statistics of columns.
#update_column_statistics_for_table(params = {}) ⇒ Types::UpdateColumnStatisticsForTableResponse
Creates or updates table statistics of columns.
#update_column_statistics_task_settings(params = {}) ⇒ Struct
Updates settings for a column statistics task.
#update_connection(params = {}) ⇒ Struct
Updates a connection definition in the Data Catalog.
#update_crawler(params = {}) ⇒ Struct
Updates a crawler.
#update_crawler_schedule(params = {}) ⇒ Struct
Updates the schedule of a crawler using a cron expression.
#update_data_quality_ruleset(params = {}) ⇒ Types::UpdateDataQualityRulesetResponse
Updates the specified data quality ruleset.
#update_database(params = {}) ⇒ Struct
Updates an existing database definition in a Data Catalog.
#update_dev_endpoint(params = {}) ⇒ Struct
Updates a specified development endpoint.
#update_integration_resource_property(params = {}) ⇒ Types::UpdateIntegrationResourcePropertyResponse
This API can be used for updating the ResourceProperty of the Glue connection (for the source) or Glue database ARN (for the target).
#update_integration_table_properties(params = {}) ⇒ Struct
This API is used to provide optional override properties for the tables that need to be replicated.
#update_job(params = {}) ⇒ Types::UpdateJobResponse
Updates an existing job definition.
#update_job_from_source_control(params = {}) ⇒ Types::UpdateJobFromSourceControlResponse
Synchronizes a job from the source control repository.
#update_ml_transform(params = {}) ⇒ Types::UpdateMLTransformResponse
Updates an existing machine learning transform.
#update_partition(params = {}) ⇒ Struct
Updates a partition.
#update_registry(params = {}) ⇒ Types::UpdateRegistryResponse
Updates an existing registry which is used to hold a collection of schemas.
#update_schema(params = {}) ⇒ Types::UpdateSchemaResponse
Updates the description, compatibility setting, or version checkpoint for a schema set.
#update_source_control_from_job(params = {}) ⇒ Types::UpdateSourceControlFromJobResponse
Synchronizes a job to the source control repository.
#update_table(params = {}) ⇒ Struct
Updates a metadata table in the Data Catalog.
#update_table_optimizer(params = {}) ⇒ Struct
Updates the configuration for an existing table optimizer.
#update_trigger(params = {}) ⇒ Types::UpdateTriggerResponse
Updates a trigger definition.
#update_usage_profile(params = {}) ⇒ Types::UpdateUsageProfileResponse
Update an Glue usage profile.
#update_user_defined_function(params = {}) ⇒ Struct
Updates an existing function definition in the Data Catalog.
#update_workflow(params = {}) ⇒ Types::UpdateWorkflowResponse
Updates an existing workflow.

Instance Method Summary collapse

#initialize(options) ⇒ Client constructor
A new instance of Client.

Constructor Details

#initialize(options) ⇒ `Client`

Returns a new instance of Client.

Parameters:

options (Hash)

Options Hash (options):

:plugins (Array<Seahorse::Client::Plugin>) — default: []] —
A list of plugins to apply to the client. Each plugin is either a class name or an instance of a plugin class.
:credentials (required, Aws::CredentialProvider) —
Your AWS credentials. This can be an instance of any one of the following classes:
- Aws::Credentials - Used for configuring static, non-refreshing credentials.
- Aws::SharedCredentials - Used for loading static credentials from a shared file, such as ~/.aws/config.
- Aws::AssumeRoleCredentials - Used when you need to assume a role.
- Aws::AssumeRoleWebIdentityCredentials - Used when you need to assume a role after providing credentials via the web.
- Aws::SSOCredentials - Used for loading credentials from AWS SSO using an access token generated from aws login.
- Aws::ProcessCredentials - Used for loading credentials from a process that outputs to stdout.
- Aws::InstanceProfileCredentials - Used for loading credentials from an EC2 IMDS on an EC2 instance.
- Aws::ECSCredentials - Used for loading credentials from instances running in ECS.
- Aws::CognitoIdentityCredentials - Used for loading credentials from the Cognito Identity service.
When :credentials are not configured directly, the following locations will be searched for credentials:
- Aws.config[:credentials]
- The :access_key_id, :secret_access_key, :session_token, and :account_id options.
- ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY'], ENV['AWS_SESSION_TOKEN'], and ENV['AWS_ACCOUNT_ID']
- ~/.aws/credentials
- ~/.aws/config
- EC2/ECS IMDS instance profile - When used by default, the timeouts are very aggressive. Construct and pass an instance of Aws::InstanceProfileCredentials or Aws::ECSCredentials to enable retries and extended timeouts. Instance profile credential fetching can be disabled by setting ENV['AWS_EC2_METADATA_DISABLED'] to true.
:region (required, String) —
The AWS region to connect to. The configured :region is used to determine the service :endpoint. When not passed, a default :region is searched for in the following locations:
- Aws.config[:region]
- ENV['AWS_REGION']
- ENV['AMAZON_REGION']
- ENV['AWS_DEFAULT_REGION']
- ~/.aws/credentials
- ~/.aws/config
:access_key_id (String)
:account_id (String)
:active_endpoint_cache (Boolean) — default: false —
When set to true, a thread polling for endpoints will be running in the background every 60 secs (default). Defaults to false.
:adaptive_retry_wait_to_fill (Boolean) — default: true —
Used only in adaptive retry mode. When true, the request will sleep until there is sufficent client side capacity to retry the request. When false, the request will raise a RetryCapacityNotAvailableError and will not retry instead of sleeping.
:client_side_monitoring (Boolean) — default: false —
When true, client-side metrics will be collected for all API requests from this client.
:client_side_monitoring_client_id (String) — default: "" —
Allows you to provide an identifier for this client which will be attached to all generated client side metrics. Defaults to an empty string.
:client_side_monitoring_host (String) — default: "127.0.0.1" —
Allows you to specify the DNS hostname or IPv4 or IPv6 address that the client side monitoring agent is running on, where client metrics will be published via UDP.
:client_side_monitoring_port (Integer) — default: 31000 —
Required for publishing client metrics. The port that the client side monitoring agent is running on, where client metrics will be published via UDP.
:client_side_monitoring_publisher (Aws::ClientSideMonitoring::Publisher) — default: Aws::ClientSideMonitoring::Publisher —
Allows you to provide a custom client-side monitoring publisher class. By default, will use the Client Side Monitoring Agent Publisher.
:convert_params (Boolean) — default: true —
When true, an attempt is made to coerce request parameters into the required types.
:correct_clock_skew (Boolean) — default: true —
Used only in standard and adaptive retry modes. Specifies whether to apply a clock skew correction and retry requests with skewed client clocks.
:defaults_mode (String) — default: "legacy" —
See DefaultsModeConfiguration for a list of the accepted modes and the configuration defaults that are included.
:disable_host_prefix_injection (Boolean) — default: false —
When true, the SDK will not prepend the modeled host prefix to the endpoint.
:disable_request_compression (Boolean) — default: false —
When set to 'true' the request body will not be compressed for supported operations.
:endpoint (String, URI::HTTPS, URI::HTTP) —
Normally you should not configure the :endpoint option directly. This is normally constructed from the :region option. Configuring :endpoint is normally reserved for connecting to test or custom endpoints. The endpoint should be a URI formatted like:
```
'http://example.com'
'https://example.com'
'http://example.com:123'
```
:endpoint_cache_max_entries (Integer) — default: 1000 —
Used for the maximum size limit of the LRU cache storing endpoints data for endpoint discovery enabled operations. Defaults to 1000.
:endpoint_cache_max_threads (Integer) — default: 10 —
Used for the maximum threads in use for polling endpoints to be cached, defaults to 10.
:endpoint_cache_poll_interval (Integer) — default: 60 —
When :endpoint_discovery and :active_endpoint_cache is enabled, Use this option to config the time interval in seconds for making requests fetching endpoints information. Defaults to 60 sec.
:endpoint_discovery (Boolean) — default: false —
When set to true, endpoint discovery will be enabled for operations when available.
:ignore_configured_endpoint_urls (Boolean) —
Setting to true disables use of endpoint URLs provided via environment variables and the shared configuration file.
:log_formatter (Aws::Log::Formatter) — default: Aws::Log::Formatter.default —
The log formatter.
:log_level (Symbol) — default: :info —
The log level to send messages to the :logger at.
:logger (Logger) —
The Logger instance to send log messages to. If this option is not set, logging will be disabled.
:max_attempts (Integer) — default: 3 —
An integer representing the maximum number attempts that will be made for a single request, including the initial attempt. For example, setting this value to 5 will result in a request being retried up to 4 times. Used in standard and adaptive retry modes.
:profile (String) — default: "default" —
Used when loading credentials from the shared credentials file at HOME/.aws/credentials. When not specified, 'default' is used.
:request_checksum_calculation (String) — default: "when_supported" —
Determines when a checksum will be calculated for request payloads. Values are:
- when_supported - (default) When set, a checksum will be calculated for all request payloads of operations modeled with the httpChecksum trait where requestChecksumRequired is true and/or a requestAlgorithmMember is modeled.
- when_required - When set, a checksum will only be calculated for request payloads of operations modeled with the httpChecksum trait where requestChecksumRequired is true or where a requestAlgorithmMember is modeled and supplied.
:request_min_compression_size_bytes (Integer) — default: 10240 —
The minimum size in bytes that triggers compression for request bodies. The value must be non-negative integer value between 0 and 10485780 bytes inclusive.
:response_checksum_validation (String) — default: "when_supported" —
Determines when checksum validation will be performed on response payloads. Values are:
- when_supported - (default) When set, checksum validation is performed on all response payloads of operations modeled with the httpChecksum trait where responseAlgorithms is modeled, except when no modeled checksum algorithms are supported.
- when_required - When set, checksum validation is not performed on response payloads of operations unless the checksum algorithm is supported and the requestValidationModeMember member is set to ENABLED.
:retry_backoff (Proc) —
A proc or lambda used for backoff. Defaults to 2**retries * retry_base_delay. This option is only used in the legacy retry mode.
:retry_base_delay (Float) — default: 0.3 —
The base delay in seconds used by the default backoff function. This option is only used in the legacy retry mode.
:retry_jitter (Symbol) — default: :none —
A delay randomiser function used by the default backoff function. Some predefined functions can be referenced by name - :none, :equal, :full, otherwise a Proc that takes and returns a number. This option is only used in the legacy retry mode.

@see https://www.awsarchitectureblog.com/2015/03/backoff.html
:retry_limit (Integer) — default: 3 —
The maximum number of times to retry failed requests. Only ~ 500 level server errors and certain ~ 400 level client errors are retried. Generally, these are throttling errors, data checksum errors, networking errors, timeout errors, auth errors, endpoint discovery, and errors from expired credentials. This option is only used in the legacy retry mode.
:retry_max_delay (Integer) — default: 0 —
The maximum number of seconds to delay between retries (0 for no limit) used by the default backoff function. This option is only used in the legacy retry mode.
:retry_mode (String) — default: "legacy" —
Specifies which retry algorithm to use. Values are:
- legacy - The pre-existing retry behavior. This is default value if no retry mode is provided.
- standard - A standardized set of retry rules across the AWS SDKs. This includes support for retry quotas, which limit the number of unsuccessful retries a client can make.
- adaptive - An experimental retry mode that includes all the functionality of standard mode along with automatic client side throttling. This is a provisional mode that may change behavior in the future.
:sdk_ua_app_id (String) —
A unique and opaque application ID that is appended to the User-Agent header as app/sdk_ua_app_id. It should have a maximum length of 50. This variable is sourced from environment variable AWS_SDK_UA_APP_ID or the shared config profile attribute sdk_ua_app_id.
:secret_access_key (String)
:session_token (String)
:sigv4a_signing_region_set (Array) —
A list of regions that should be signed with SigV4a signing. When not passed, a default :sigv4a_signing_region_set is searched for in the following locations:
- Aws.config[:sigv4a_signing_region_set]
- ENV['AWS_SIGV4A_SIGNING_REGION_SET']
- ~/.aws/config
:simple_json (Boolean) — default: false —
Disables request parameter conversion, validation, and formatting. Also disables response data type conversions. The request parameters hash must be formatted exactly as the API expects.This option is useful when you want to ensure the highest level of performance by avoiding overhead of walking request parameters and response data structures.
:stub_responses (Boolean) — default: false —
Causes the client to return stubbed responses. By default fake responses are generated and returned. You can specify the response data to return or errors to raise by calling ClientStubs#stub_responses. See ClientStubs for more information.

Please note When response stubbing is enabled, no HTTP requests are made, and retries are disabled.
:telemetry_provider (Aws::Telemetry::TelemetryProviderBase) — default: Aws::Telemetry::NoOpTelemetryProvider —
Allows you to provide a telemetry provider, which is used to emit telemetry data. By default, uses NoOpTelemetryProvider which will not record or emit any telemetry data. The SDK supports the following telemetry providers:
- OpenTelemetry (OTel) - To use the OTel provider, install and require the opentelemetry-sdk gem and then, pass in an instance of a Aws::Telemetry::OTelProvider for telemetry provider.
:token_provider (Aws::TokenProvider) —
A Bearer Token Provider. This can be an instance of any one of the following classes:
- Aws::StaticTokenProvider - Used for configuring static, non-refreshing tokens.
- Aws::SSOTokenProvider - Used for loading tokens from AWS SSO using an access token generated from aws login.
When :token_provider is not configured directly, the Aws::TokenProviderChain will be used to search for tokens configured for your profile in shared configuration files.
:use_dualstack_endpoint (Boolean) —
When set to true, dualstack enabled endpoints (with .aws TLD) will be used if available.
:use_fips_endpoint (Boolean) —
When set to true, fips compatible endpoints will be used if available. When a fips region is used, the region is normalized and this config is set to true.
:validate_params (Boolean) — default: true —
When true, request parameters are validated before sending the request.
:endpoint_provider (Aws::Glue::EndpointProvider) —
The endpoint provider used to resolve endpoints. Any object that responds to #resolve_endpoint(parameters) where parameters is a Struct similar to Aws::Glue::EndpointParameters.
:http_continue_timeout (Float) — default: 1 —
The number of seconds to wait for a 100-continue response before sending the request body. This option has no effect unless the request has "Expect" header set to "100-continue". Defaults to nil which disables this behaviour. This value can safely be set per request on the session.
:http_idle_timeout (Float) — default: 5 —
The number of seconds a connection is allowed to sit idle before it is considered stale. Stale connections are closed and removed from the pool before making a request.
:http_open_timeout (Float) — default: 15 —
The default number of seconds to wait for response data. This value can safely be set per-request on the session.
:http_proxy (URI::HTTP, String) —
A proxy to send requests through. Formatted like 'http://proxy.com:123'.
:http_read_timeout (Float) — default: 60 —
The default number of seconds to wait for response data. This value can safely be set per-request on the session.
:http_wire_trace (Boolean) — default: false —
When true, HTTP debug output will be sent to the :logger.
:on_chunk_received (Proc) —
When a Proc object is provided, it will be used as callback when each chunk of the response body is received. It provides three arguments: the chunk, the number of bytes received, and the total number of bytes in the response (or nil if the server did not send a content-length).
:on_chunk_sent (Proc) —
When a Proc object is provided, it will be used as callback when each chunk of the request body is sent. It provides three arguments: the chunk, the number of bytes read from the body, and the total number of bytes in the body.
:raise_response_errors (Boolean) — default: true —
When true, response errors are raised.
:ssl_ca_bundle (String) —
Full path to the SSL certificate authority bundle file that should be used when verifying peer certificates. If you do not pass :ssl_ca_bundle or :ssl_ca_directory the the system default will be used if available.
:ssl_ca_directory (String) —
Full path of the directory that contains the unbundled SSL certificate authority files for verifying peer certificates. If you do not pass :ssl_ca_bundle or :ssl_ca_directory the the system default will be used if available.
:ssl_ca_store (String) —
Sets the X509::Store to verify peer certificate.
:ssl_cert (OpenSSL::X509::Certificate) —
Sets a client certificate when creating http connections.
:ssl_key (OpenSSL::PKey) —
Sets a client key when creating http connections.
:ssl_timeout (Float) —
Sets the SSL timeout in seconds
:ssl_verify_peer (Boolean) — default: true —
When true, SSL peer certificates are verified when establishing a connection.



473
474
475

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 473

def initialize(*args)
  super
end

Instance Method Details

#batch_create_partition(params = {}) ⇒ `Types::BatchCreatePartitionResponse`

Creates one or more partitions in a batch operation.

Examples:

Request syntax with placeholder values


resp = client.batch_create_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_input_list: [ # required
    {
      values: ["ValueString"],
      last_access_time: Time.now,
      storage_descriptor: {
        columns: [
          {
            name: "NameString", # required
            type: "ColumnTypeString",
            comment: "CommentString",
            parameters: {
              "KeyString" => "ParametersMapValue",
            },
          },
        ],
        location: "LocationString",
        additional_locations: ["LocationString"],
        input_format: "FormatString",
        output_format: "FormatString",
        compressed: false,
        number_of_buckets: 1,
        serde_info: {
          name: "NameString",
          serialization_library: "NameString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
        bucket_columns: ["NameString"],
        sort_columns: [
          {
            column: "NameString", # required
            sort_order: 1, # required
          },
        ],
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
        skewed_info: {
          skewed_column_names: ["NameString"],
          skewed_column_values: ["ColumnValuesString"],
          skewed_column_value_location_maps: {
            "ColumnValuesString" => "ColumnValuesString",
          },
        },
        stored_as_sub_directories: false,
        schema_reference: {
          schema_id: {
            schema_arn: "GlueResourceArn",
            schema_name: "SchemaRegistryNameString",
            registry_name: "SchemaRegistryNameString",
          },
          schema_version_id: "SchemaVersionIdString",
          schema_version_number: 1,
        },
      },
      parameters: {
        "KeyString" => "ParametersMapValue",
      },
      last_analyzed_time: Time.now,
    },
  ],
})

Response structure


resp.errors #=> Array
resp.errors[0].partition_values #=> Array
resp.errors[0].partition_values[0] #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the catalog in which the partition is to be created. Currently, this should be the Amazon Web Services account ID.
:database_name (required, String) —
The name of the metadata database in which the partition is to be created.
:table_name (required, String) —
The name of the metadata table in which the partition is to be created.
:partition_input_list (required, Array<Types::PartitionInput>) —
A list of PartitionInput structures that define the partitions to be created.

Returns:

(Types::BatchCreatePartitionResponse) —
Returns a response object which responds to the following methods:
- #errors => Array<Types::PartitionError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 583

def batch_create_partition(params = {}, options = {})
  req = build_request(:batch_create_partition, params)
  req.send_request(options)
end

#batch_delete_connection(params = {}) ⇒ `Types::BatchDeleteConnectionResponse`

Deletes a list of connection definitions from the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.batch_delete_connection({
  catalog_id: "CatalogIdString",
  connection_name_list: ["NameString"], # required
})

Response structure


resp.succeeded #=> Array
resp.succeeded[0] #=> String
resp.errors #=> Hash
resp.errors["NameString"].error_code #=> String
resp.errors["NameString"].error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which the connections reside. If none is provided, the Amazon Web Services account ID is used by default.
:connection_name_list (required, Array<String>) —
A list of names of the connections to delete.

Returns:

(Types::BatchDeleteConnectionResponse) —
Returns a response object which responds to the following methods:
- #succeeded => Array<String>
- #errors => Hash<String,Types::ErrorDetail>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 621

def batch_delete_connection(params = {}, options = {})
  req = build_request(:batch_delete_connection, params)
  req.send_request(options)
end

#batch_delete_partition(params = {}) ⇒ `Types::BatchDeletePartitionResponse`

Deletes one or more partitions in a batch operation.

Examples:

Request syntax with placeholder values


resp = client.batch_delete_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partitions_to_delete: [ # required
    {
      values: ["ValueString"], # required
    },
  ],
})

Response structure


resp.errors #=> Array
resp.errors[0].partition_values #=> Array
resp.errors[0].partition_values[0] #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partition to be deleted resides. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database in which the table in question resides.
:table_name (required, String) —
The name of the table that contains the partitions to be deleted.
:partitions_to_delete (required, Array<Types::PartitionValueList>) —
A list of PartitionInput structures that define the partitions to be deleted.

Returns:

(Types::BatchDeletePartitionResponse) —
Returns a response object which responds to the following methods:
- #errors => Array<Types::PartitionError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 673

def batch_delete_partition(params = {}, options = {})
  req = build_request(:batch_delete_partition, params)
  req.send_request(options)
end

#batch_delete_table(params = {}) ⇒ `Types::BatchDeleteTableResponse`

Deletes multiple tables at once.

After completing this operation, you no longer have access to the table versions and partitions that belong to the deleted table. Glue deletes these "orphaned" resources asynchronously in a timely manner, at the discretion of the service.

To ensure the immediate deletion of all related resources, before calling BatchDeleteTable, use DeleteTableVersion or BatchDeleteTableVersion, and DeletePartition or BatchDeletePartition, to delete any resources that belong to the table.

Examples:

Request syntax with placeholder values


resp = client.batch_delete_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  tables_to_delete: ["NameString"], # required
  transaction_id: "TransactionIdString",
})

Response structure


resp.errors #=> Array
resp.errors[0].table_name #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the table resides. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database in which the tables to delete reside. For Hive compatibility, this name is entirely lowercase.
:tables_to_delete (required, Array<String>) —
A list of the table to delete.
:transaction_id (String) —
The transaction ID at which to delete the table contents.

Returns:

(Types::BatchDeleteTableResponse) —
Returns a response object which responds to the following methods:
- #errors => Array<Types::TableError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 731

def batch_delete_table(params = {}, options = {})
  req = build_request(:batch_delete_table, params)
  req.send_request(options)
end

#batch_delete_table_version(params = {}) ⇒ `Types::BatchDeleteTableVersionResponse`

Deletes a specified batch of versions of a table.

Examples:

Request syntax with placeholder values


resp = client.batch_delete_table_version({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  version_ids: ["VersionString"], # required
})

Response structure


resp.errors #=> Array
resp.errors[0].table_name #=> String
resp.errors[0].version_id #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.
:table_name (required, String) —
The name of the table. For Hive compatibility, this name is entirely lowercase.
:version_ids (required, Array<String>) —
A list of the IDs of versions to be deleted. A VersionId is a string representation of an integer. Each version is incremented by 1.

Returns:

(Types::BatchDeleteTableVersionResponse) —
Returns a response object which responds to the following methods:
- #errors => Array<Types::TableVersionError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 779

def batch_delete_table_version(params = {}, options = {})
  req = build_request(:batch_delete_table_version, params)
  req.send_request(options)
end

#batch_get_blueprints(params = {}) ⇒ `Types::BatchGetBlueprintsResponse`

Retrieves information about a list of blueprints.

Examples:

Request syntax with placeholder values


resp = client.batch_get_blueprints({
  names: ["OrchestrationNameString"], # required
  include_blueprint: false,
  include_parameter_spec: false,
})

Response structure


resp.blueprints #=> Array
resp.blueprints[0].name #=> String
resp.blueprints[0].description #=> String
resp.blueprints[0].created_on #=> Time
resp.blueprints[0].last_modified_on #=> Time
resp.blueprints[0].parameter_spec #=> String
resp.blueprints[0].blueprint_location #=> String
resp.blueprints[0].blueprint_service_location #=> String
resp.blueprints[0].status #=> String, one of "CREATING", "ACTIVE", "UPDATING", "FAILED"
resp.blueprints[0].error_message #=> String
resp.blueprints[0].last_active_definition.description #=> String
resp.blueprints[0].last_active_definition.last_modified_on #=> Time
resp.blueprints[0].last_active_definition.parameter_spec #=> String
resp.blueprints[0].last_active_definition.blueprint_location #=> String
resp.blueprints[0].last_active_definition.blueprint_service_location #=> String
resp.missing_blueprints #=> Array
resp.missing_blueprints[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:names (required, Array<String>) —
A list of blueprint names.
:include_blueprint (Boolean) —
Specifies whether or not to include the blueprint in the response.
:include_parameter_spec (Boolean) —
Specifies whether or not to include the parameters, as a JSON string, for the blueprint in the response.

Returns:

(Types::BatchGetBlueprintsResponse) —
Returns a response object which responds to the following methods:
- #blueprints => Array<Types::Blueprint>
- #missing_blueprints => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 833

def batch_get_blueprints(params = {}, options = {})
  req = build_request(:batch_get_blueprints, params)
  req.send_request(options)
end

#batch_get_crawlers(params = {}) ⇒ `Types::BatchGetCrawlersResponse`

Returns a list of resource metadata for a given list of crawler names. After calling the ListCrawlers operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values


resp = client.batch_get_crawlers({
  crawler_names: ["NameString"], # required
})

Response structure


resp.crawlers #=> Array
resp.crawlers[0].name #=> String
resp.crawlers[0].role #=> String
resp.crawlers[0].targets.s3_targets #=> Array
resp.crawlers[0].targets.s3_targets[0].path #=> String
resp.crawlers[0].targets.s3_targets[0].exclusions #=> Array
resp.crawlers[0].targets.s3_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.s3_targets[0].connection_name #=> String
resp.crawlers[0].targets.s3_targets[0].sample_size #=> Integer
resp.crawlers[0].targets.s3_targets[0].event_queue_arn #=> String
resp.crawlers[0].targets.s3_targets[0].dlq_event_queue_arn #=> String
resp.crawlers[0].targets.jdbc_targets #=> Array
resp.crawlers[0].targets.jdbc_targets[0].connection_name #=> String
resp.crawlers[0].targets.jdbc_targets[0].path #=> String
resp.crawlers[0].targets.jdbc_targets[0].exclusions #=> Array
resp.crawlers[0].targets.jdbc_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.jdbc_targets[0].enable_additional_metadata #=> Array
resp.crawlers[0].targets.jdbc_targets[0].enable_additional_metadata[0] #=> String, one of "COMMENTS", "RAWTYPES"
resp.crawlers[0].targets.mongo_db_targets #=> Array
resp.crawlers[0].targets.mongo_db_targets[0].connection_name #=> String
resp.crawlers[0].targets.mongo_db_targets[0].path #=> String
resp.crawlers[0].targets.mongo_db_targets[0].scan_all #=> Boolean
resp.crawlers[0].targets.dynamo_db_targets #=> Array
resp.crawlers[0].targets.dynamo_db_targets[0].path #=> String
resp.crawlers[0].targets.dynamo_db_targets[0].scan_all #=> Boolean
resp.crawlers[0].targets.dynamo_db_targets[0].scan_rate #=> Float
resp.crawlers[0].targets.catalog_targets #=> Array
resp.crawlers[0].targets.catalog_targets[0].database_name #=> String
resp.crawlers[0].targets.catalog_targets[0].tables #=> Array
resp.crawlers[0].targets.catalog_targets[0].tables[0] #=> String
resp.crawlers[0].targets.catalog_targets[0].connection_name #=> String
resp.crawlers[0].targets.catalog_targets[0].event_queue_arn #=> String
resp.crawlers[0].targets.catalog_targets[0].dlq_event_queue_arn #=> String
resp.crawlers[0].targets.delta_targets #=> Array
resp.crawlers[0].targets.delta_targets[0].delta_tables #=> Array
resp.crawlers[0].targets.delta_targets[0].delta_tables[0] #=> String
resp.crawlers[0].targets.delta_targets[0].connection_name #=> String
resp.crawlers[0].targets.delta_targets[0].write_manifest #=> Boolean
resp.crawlers[0].targets.delta_targets[0].create_native_delta_table #=> Boolean
resp.crawlers[0].targets.iceberg_targets #=> Array
resp.crawlers[0].targets.iceberg_targets[0].paths #=> Array
resp.crawlers[0].targets.iceberg_targets[0].paths[0] #=> String
resp.crawlers[0].targets.iceberg_targets[0].connection_name #=> String
resp.crawlers[0].targets.iceberg_targets[0].exclusions #=> Array
resp.crawlers[0].targets.iceberg_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.iceberg_targets[0].maximum_traversal_depth #=> Integer
resp.crawlers[0].targets.hudi_targets #=> Array
resp.crawlers[0].targets.hudi_targets[0].paths #=> Array
resp.crawlers[0].targets.hudi_targets[0].paths[0] #=> String
resp.crawlers[0].targets.hudi_targets[0].connection_name #=> String
resp.crawlers[0].targets.hudi_targets[0].exclusions #=> Array
resp.crawlers[0].targets.hudi_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.hudi_targets[0].maximum_traversal_depth #=> Integer
resp.crawlers[0].database_name #=> String
resp.crawlers[0].description #=> String
resp.crawlers[0].classifiers #=> Array
resp.crawlers[0].classifiers[0] #=> String
resp.crawlers[0].recrawl_policy.recrawl_behavior #=> String, one of "CRAWL_EVERYTHING", "CRAWL_NEW_FOLDERS_ONLY", "CRAWL_EVENT_MODE"
resp.crawlers[0].schema_change_policy.update_behavior #=> String, one of "LOG", "UPDATE_IN_DATABASE"
resp.crawlers[0].schema_change_policy.delete_behavior #=> String, one of "LOG", "DELETE_FROM_DATABASE", "DEPRECATE_IN_DATABASE"
resp.crawlers[0].lineage_configuration.crawler_lineage_settings #=> String, one of "ENABLE", "DISABLE"
resp.crawlers[0].state #=> String, one of "READY", "RUNNING", "STOPPING"
resp.crawlers[0].table_prefix #=> String
resp.crawlers[0].schedule.schedule_expression #=> String
resp.crawlers[0].schedule.state #=> String, one of "SCHEDULED", "NOT_SCHEDULED", "TRANSITIONING"
resp.crawlers[0].crawl_elapsed_time #=> Integer
resp.crawlers[0].creation_time #=> Time
resp.crawlers[0].last_updated #=> Time
resp.crawlers[0].last_crawl.status #=> String, one of "SUCCEEDED", "CANCELLED", "FAILED"
resp.crawlers[0].last_crawl.error_message #=> String
resp.crawlers[0].last_crawl.log_group #=> String
resp.crawlers[0].last_crawl.log_stream #=> String
resp.crawlers[0].last_crawl.message_prefix #=> String
resp.crawlers[0].last_crawl.start_time #=> Time
resp.crawlers[0].version #=> Integer
resp.crawlers[0].configuration #=> String
resp.crawlers[0].crawler_security_configuration #=> String
resp.crawlers[0].lake_formation_configuration.use_lake_formation_credentials #=> Boolean
resp.crawlers[0].lake_formation_configuration.account_id #=> String
resp.crawlers_not_found #=> Array
resp.crawlers_not_found[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:crawler_names (required, Array<String>) —
A list of crawler names, which might be the names returned from the ListCrawlers operation.

Returns:

(Types::BatchGetCrawlersResponse) —
Returns a response object which responds to the following methods:
- #crawlers => Array<Types::Crawler>
- #crawlers_not_found => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 947

def batch_get_crawlers(params = {}, options = {})
  req = build_request(:batch_get_crawlers, params)
  req.send_request(options)
end

#batch_get_custom_entity_types(params = {}) ⇒ `Types::BatchGetCustomEntityTypesResponse`

Retrieves the details for the custom patterns specified by a list of names.

Examples:

Request syntax with placeholder values


resp = client.batch_get_custom_entity_types({
  names: ["NameString"], # required
})

Response structure


resp.custom_entity_types #=> Array
resp.custom_entity_types[0].name #=> String
resp.custom_entity_types[0].regex_string #=> String
resp.custom_entity_types[0].context_words #=> Array
resp.custom_entity_types[0].context_words[0] #=> String
resp.custom_entity_types_not_found #=> Array
resp.custom_entity_types_not_found[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:names (required, Array<String>) —
A list of names of the custom patterns that you want to retrieve.

Returns:

(Types::BatchGetCustomEntityTypesResponse) —
Returns a response object which responds to the following methods:
- #custom_entity_types => Array<Types::CustomEntityType>
- #custom_entity_types_not_found => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 983

def batch_get_custom_entity_types(params = {}, options = {})
  req = build_request(:batch_get_custom_entity_types, params)
  req.send_request(options)
end

#batch_get_data_quality_result(params = {}) ⇒ `Types::BatchGetDataQualityResultResponse`

Retrieves a list of data quality results for the specified result IDs.

Examples:

Request syntax with placeholder values


resp = client.batch_get_data_quality_result({
  result_ids: ["HashString"], # required
})

Response structure


resp.results #=> Array
resp.results[0].result_id #=> String
resp.results[0].profile_id #=> String
resp.results[0].score #=> Float
resp.results[0].data_source.glue_table.database_name #=> String
resp.results[0].data_source.glue_table.table_name #=> String
resp.results[0].data_source.glue_table.catalog_id #=> String
resp.results[0].data_source.glue_table.connection_name #=> String
resp.results[0].data_source.glue_table.additional_options #=> Hash
resp.results[0].data_source.glue_table.additional_options["NameString"] #=> String
resp.results[0].ruleset_name #=> String
resp.results[0].evaluation_context #=> String
resp.results[0].started_on #=> Time
resp.results[0].completed_on #=> Time
resp.results[0].job_name #=> String
resp.results[0].job_run_id #=> String
resp.results[0].ruleset_evaluation_run_id #=> String
resp.results[0].rule_results #=> Array
resp.results[0].rule_results[0].name #=> String
resp.results[0].rule_results[0].description #=> String
resp.results[0].rule_results[0].evaluation_message #=> String
resp.results[0].rule_results[0].result #=> String, one of "PASS", "FAIL", "ERROR"
resp.results[0].rule_results[0].evaluated_metrics #=> Hash
resp.results[0].rule_results[0].evaluated_metrics["NameString"] #=> Float
resp.results[0].rule_results[0].evaluated_rule #=> String
resp.results[0].rule_results[0].rule_metrics #=> Hash
resp.results[0].rule_results[0].rule_metrics["NameString"] #=> Float
resp.results[0].analyzer_results #=> Array
resp.results[0].analyzer_results[0].name #=> String
resp.results[0].analyzer_results[0].description #=> String
resp.results[0].analyzer_results[0].evaluation_message #=> String
resp.results[0].analyzer_results[0].evaluated_metrics #=> Hash
resp.results[0].analyzer_results[0].evaluated_metrics["NameString"] #=> Float
resp.results[0].observations #=> Array
resp.results[0].observations[0].description #=> String
resp.results[0].observations[0].metric_based_observation.metric_name #=> String
resp.results[0].observations[0].metric_based_observation.statistic_id #=> String
resp.results[0].observations[0].metric_based_observation.metric_values.actual_value #=> Float
resp.results[0].observations[0].metric_based_observation.metric_values.expected_value #=> Float
resp.results[0].observations[0].metric_based_observation.metric_values.lower_limit #=> Float
resp.results[0].observations[0].metric_based_observation.metric_values.upper_limit #=> Float
resp.results[0].observations[0].metric_based_observation.new_rules #=> Array
resp.results[0].observations[0].metric_based_observation.new_rules[0] #=> String
resp.results[0].aggregated_metrics.total_rows_processed #=> Float
resp.results[0].aggregated_metrics.total_rows_passed #=> Float
resp.results[0].aggregated_metrics.total_rows_failed #=> Float
resp.results[0].aggregated_metrics.total_rules_processed #=> Float
resp.results[0].aggregated_metrics.total_rules_passed #=> Float
resp.results[0].aggregated_metrics.total_rules_failed #=> Float
resp.results_not_found #=> Array
resp.results_not_found[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:result_ids (required, Array<String>) —
A list of unique result IDs for the data quality results.

Returns:

(Types::BatchGetDataQualityResultResponse) —
Returns a response object which responds to the following methods:
- #results => Array<Types::DataQualityResult>
- #results_not_found => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 1062

def batch_get_data_quality_result(params = {}, options = {})
  req = build_request(:batch_get_data_quality_result, params)
  req.send_request(options)
end

#batch_get_dev_endpoints(params = {}) ⇒ `Types::BatchGetDevEndpointsResponse`

Returns a list of resource metadata for a given list of development endpoint names. After calling the ListDevEndpoints operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values


resp = client.batch_get_dev_endpoints({
  dev_endpoint_names: ["GenericString"], # required
})

Response structure


resp.dev_endpoints #=> Array
resp.dev_endpoints[0].endpoint_name #=> String
resp.dev_endpoints[0].role_arn #=> String
resp.dev_endpoints[0].security_group_ids #=> Array
resp.dev_endpoints[0].security_group_ids[0] #=> String
resp.dev_endpoints[0].subnet_id #=> String
resp.dev_endpoints[0].yarn_endpoint_address #=> String
resp.dev_endpoints[0].private_address #=> String
resp.dev_endpoints[0].zeppelin_remote_spark_interpreter_port #=> Integer
resp.dev_endpoints[0].public_address #=> String
resp.dev_endpoints[0].status #=> String
resp.dev_endpoints[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.dev_endpoints[0].glue_version #=> String
resp.dev_endpoints[0].number_of_workers #=> Integer
resp.dev_endpoints[0].number_of_nodes #=> Integer
resp.dev_endpoints[0].availability_zone #=> String
resp.dev_endpoints[0].vpc_id #=> String
resp.dev_endpoints[0].extra_python_libs_s3_path #=> String
resp.dev_endpoints[0].extra_jars_s3_path #=> String
resp.dev_endpoints[0].failure_reason #=> String
resp.dev_endpoints[0].last_update_status #=> String
resp.dev_endpoints[0].created_timestamp #=> Time
resp.dev_endpoints[0].last_modified_timestamp #=> Time
resp.dev_endpoints[0].public_key #=> String
resp.dev_endpoints[0].public_keys #=> Array
resp.dev_endpoints[0].public_keys[0] #=> String
resp.dev_endpoints[0].security_configuration #=> String
resp.dev_endpoints[0].arguments #=> Hash
resp.dev_endpoints[0].arguments["GenericString"] #=> String
resp.dev_endpoints_not_found #=> Array
resp.dev_endpoints_not_found[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:dev_endpoint_names (required, Array<String>) —
The list of DevEndpoint names, which might be the names returned from the ListDevEndpoint operation.

Returns:

(Types::BatchGetDevEndpointsResponse) —
Returns a response object which responds to the following methods:
- #dev_endpoints => Array<Types::DevEndpoint>
- #dev_endpoints_not_found => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 1126

def batch_get_dev_endpoints(params = {}, options = {})
  req = build_request(:batch_get_dev_endpoints, params)
  req.send_request(options)
end

#batch_get_jobs(params = {}) ⇒ `Types::BatchGetJobsResponse`

Returns a list of resource metadata for a given list of job names. After calling the ListJobs operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values


resp = client.batch_get_jobs({
  job_names: ["NameString"], # required
})

Response structure


resp.jobs #=> Array
resp.jobs[0].name #=> String
resp.jobs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.jobs[0].job_run_queuing_enabled #=> Boolean
resp.jobs[0].description #=> String
resp.jobs[0].log_uri #=> String
resp.jobs[0].role #=> String
resp.jobs[0].created_on #=> Time
resp.jobs[0].last_modified_on #=> Time
resp.jobs[0].execution_property.max_concurrent_runs #=> Integer
resp.jobs[0].command.name #=> String
resp.jobs[0].command.script_location #=> String
resp.jobs[0].command.python_version #=> String
resp.jobs[0].command.runtime #=> String
resp.jobs[0].default_arguments #=> Hash
resp.jobs[0].default_arguments["GenericString"] #=> String
resp.jobs[0].non_overridable_arguments #=> Hash
resp.jobs[0].non_overridable_arguments["GenericString"] #=> String
resp.jobs[0].connections.connections #=> Array
resp.jobs[0].connections.connections[0] #=> String
resp.jobs[0].max_retries #=> Integer
resp.jobs[0].allocated_capacity #=> Integer
resp.jobs[0].timeout #=> Integer
resp.jobs[0].max_capacity #=> Float
resp.jobs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.jobs[0].number_of_workers #=> Integer
resp.jobs[0].security_configuration #=> String
resp.jobs[0].notification_property.notify_delay_after #=> Integer
resp.jobs[0].glue_version #=> String
resp.jobs[0].code_gen_configuration_nodes #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.schema_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.filter_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.partition_column #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.lower_bound #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.upper_bound #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.num_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys_sort_order #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping["JDBCDataType"] #=> String, one of "DATE", "STRING", "TIMESTAMP", "INT", "FLOAT", "LONG", "BIGDECIMAL", "BYTE", "SHORT", "DOUBLE"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.tmp_dir_iam_role #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.partition_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.compression_type #=> String, one of "gzip", "bzip2"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.separator #=> String, one of "comma", "ctrla", "pipe", "semicolon", "tab"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.escaper #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.quote_char #=> String, one of "quote", "quillemet", "single_quote", "disabled"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.multiline #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.with_header #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.write_header #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.skip_first #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.optimize_performance #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.number_rows #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.skip_footer #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.compression_type #=> String, one of "gzip", "bzip2"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.json_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.multiline #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.tmp_dir_iam_role #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.table_location #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.compression #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.compression #=> String, one of "uncompressed"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.compression #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].dropped #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].children #=> Types::Mappings
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.source_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.source_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.target_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.target_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.topk #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.prob #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.join_type #=> String, one of "equijoin", "left", "right", "outer", "leftsemi", "leftanti"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].from #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.index #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.imputed_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.filled_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.logical_operator #=> String, one of "AND", "OR"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].operation #=> String, one of "EQ", "LT", "GT", "LTE", "GTE", "REGEX", "ISNULL"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].negated #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].type #=> String, one of "COLUMNEXTRACTED", "CONSTANT"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.code #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.class_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].from #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].alias #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.endpoint_url #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_session_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.bootstrap_servers #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.security_protocol #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.topic_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.assign #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.subscribe_pattern #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.ending_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.min_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.include_headers #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.endpoint_url #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_session_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.bootstrap_servers #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.security_protocol #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.topic_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.assign #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.subscribe_pattern #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.ending_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.min_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.include_headers #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_empty #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_null_string #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_neg_one #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.id #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.source #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.union_type #=> String, one of "ALL", "DISTINCT"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.pii_type #=> String, one of "RowAudit", "RowMasking", "ColumnAudit", "ColumnMasking"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.output_column_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.sample_fraction #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.threshold_fraction #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.mask_value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].agg_func #=> String, one of "avg", "countDistinct", "count", "first", "last", "kurtosis", "max", "min", "skewness", "stddev_samp", "stddev_pop", "sum", "sumDistinct", "var_samp", "var_pop"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.partition_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.transform_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_rule #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_message #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].list_type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].is_optional #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.function_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.version #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.ruleset #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.output #=> String, one of "PrimaryInput", "EvaluationResults"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.evaluation_context #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_s3_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_publishing_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_type #=> String, one of "sqlserver", "mysql", "oracle", "postgresql", "redshift"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.compression #=> String, one of "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.access_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.crawler_connection #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.access_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.crawler_connection #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources["NodeName"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.ruleset #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.evaluation_context #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_s3_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_publishing_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options["AdditionalOptionKeys"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_version #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.operation #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.parameters #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.parameters["ParameterName"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].condition #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].target_column #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.auto_pushdown #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.auto_pushdown #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.data #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.data["GenericString"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.data #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.data["GenericString"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.inputs[0] #=> String
resp.jobs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.jobs[0].source_control_details.provider #=> String, one of "GITHUB", "GITLAB", "BITBUCKET", "AWS_CODE_COMMIT"
resp.jobs[0].source_control_details.repository #=> String
resp.jobs[0].source_control_details.owner #=> String
resp.jobs[0].source_control_details.branch #=> String
resp.jobs[0].source_control_details.folder #=> String
resp.jobs[0].source_control_details.last_commit_id #=> String
resp.jobs[0].source_control_details.auth_strategy #=> String, one of "PERSONAL_ACCESS_TOKEN", "AWS_SECRETS_MANAGER"
resp.jobs[0].source_control_details.auth_token #=> String
resp.jobs[0].maintenance_window #=> String
resp.jobs[0].profile_name #=> String
resp.jobs_not_found #=> Array
resp.jobs_not_found[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:job_names (required, Array<String>) —
A list of job names, which might be the names returned from the ListJobs operation.

Returns:

(Types::BatchGetJobsResponse) —
Returns a response object which responds to the following methods:
- #jobs => Array<Types::Job>
- #jobs_not_found => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2111

def batch_get_jobs(params = {}, options = {})
  req = build_request(:batch_get_jobs, params)
  req.send_request(options)
end

#batch_get_partition(params = {}) ⇒ `Types::BatchGetPartitionResponse`

Retrieves partitions in a batch request.

Examples:

Request syntax with placeholder values


resp = client.batch_get_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partitions_to_get: [ # required
    {
      values: ["ValueString"], # required
    },
  ],
})

Response structure


resp.partitions #=> Array
resp.partitions[0].values #=> Array
resp.partitions[0].values[0] #=> String
resp.partitions[0].database_name #=> String
resp.partitions[0].table_name #=> String
resp.partitions[0].creation_time #=> Time
resp.partitions[0].last_access_time #=> Time
resp.partitions[0].storage_descriptor.columns #=> Array
resp.partitions[0].storage_descriptor.columns[0].name #=> String
resp.partitions[0].storage_descriptor.columns[0].type #=> String
resp.partitions[0].storage_descriptor.columns[0].comment #=> String
resp.partitions[0].storage_descriptor.columns[0].parameters #=> Hash
resp.partitions[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.location #=> String
resp.partitions[0].storage_descriptor.additional_locations #=> Array
resp.partitions[0].storage_descriptor.additional_locations[0] #=> String
resp.partitions[0].storage_descriptor.input_format #=> String
resp.partitions[0].storage_descriptor.output_format #=> String
resp.partitions[0].storage_descriptor.compressed #=> Boolean
resp.partitions[0].storage_descriptor.number_of_buckets #=> Integer
resp.partitions[0].storage_descriptor.serde_info.name #=> String
resp.partitions[0].storage_descriptor.serde_info.serialization_library #=> String
resp.partitions[0].storage_descriptor.serde_info.parameters #=> Hash
resp.partitions[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.bucket_columns #=> Array
resp.partitions[0].storage_descriptor.bucket_columns[0] #=> String
resp.partitions[0].storage_descriptor.sort_columns #=> Array
resp.partitions[0].storage_descriptor.sort_columns[0].column #=> String
resp.partitions[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.partitions[0].storage_descriptor.parameters #=> Hash
resp.partitions[0].storage_descriptor.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.partitions[0].storage_descriptor.stored_as_sub_directories #=> Boolean
resp.partitions[0].storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_version_id #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.partitions[0].parameters #=> Hash
resp.partitions[0].parameters["KeyString"] #=> String
resp.partitions[0].last_analyzed_time #=> Time
resp.partitions[0].catalog_id #=> String
resp.unprocessed_keys #=> Array
resp.unprocessed_keys[0].values #=> Array
resp.unprocessed_keys[0].values[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the partitions reside.
:table_name (required, String) —
The name of the partitions' table.
:partitions_to_get (required, Array<Types::PartitionValueList>) —
A list of partition values identifying the partitions to retrieve.

Returns:

(Types::BatchGetPartitionResponse) —
Returns a response object which responds to the following methods:
- #partitions => Array<Types::Partition>
- #unprocessed_keys => Array<Types::PartitionValueList>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2207

def batch_get_partition(params = {}, options = {})
  req = build_request(:batch_get_partition, params)
  req.send_request(options)
end

#batch_get_table_optimizer(params = {}) ⇒ `Types::BatchGetTableOptimizerResponse`

Returns the configuration for the specified table optimizers.

Examples:

Request syntax with placeholder values


resp = client.batch_get_table_optimizer({
  entries: [ # required
    {
      catalog_id: "CatalogIdString",
      database_name: "databaseNameString",
      table_name: "tableNameString",
      type: "compaction", # accepts compaction, retention, orphan_file_deletion
    },
  ],
})

Response structure


resp.table_optimizers #=> Array
resp.table_optimizers[0].catalog_id #=> String
resp.table_optimizers[0].database_name #=> String
resp.table_optimizers[0].table_name #=> String
resp.table_optimizers[0].table_optimizer.type #=> String, one of "compaction", "retention", "orphan_file_deletion"
resp.table_optimizers[0].table_optimizer.configuration.role_arn #=> String
resp.table_optimizers[0].table_optimizer.configuration.enabled #=> Boolean
resp.table_optimizers[0].table_optimizer.configuration.vpc_configuration.glue_connection_name #=> String
resp.table_optimizers[0].table_optimizer.configuration.compaction_configuration.iceberg_configuration.strategy #=> String, one of "binpack", "sort", "z-order"
resp.table_optimizers[0].table_optimizer.configuration.retention_configuration.iceberg_configuration.snapshot_retention_period_in_days #=> Integer
resp.table_optimizers[0].table_optimizer.configuration.retention_configuration.iceberg_configuration.number_of_snapshots_to_retain #=> Integer
resp.table_optimizers[0].table_optimizer.configuration.retention_configuration.iceberg_configuration.clean_expired_files #=> Boolean
resp.table_optimizers[0].table_optimizer.configuration.orphan_file_deletion_configuration.iceberg_configuration.orphan_file_retention_period_in_days #=> Integer
resp.table_optimizers[0].table_optimizer.configuration.orphan_file_deletion_configuration.iceberg_configuration.location #=> String
resp.table_optimizers[0].table_optimizer.last_run.event_type #=> String, one of "starting", "completed", "failed", "in_progress"
resp.table_optimizers[0].table_optimizer.last_run.start_timestamp #=> Time
resp.table_optimizers[0].table_optimizer.last_run.end_timestamp #=> Time
resp.table_optimizers[0].table_optimizer.last_run.metrics.number_of_bytes_compacted #=> String
resp.table_optimizers[0].table_optimizer.last_run.metrics.number_of_files_compacted #=> String
resp.table_optimizers[0].table_optimizer.last_run.metrics.number_of_dpus #=> String
resp.table_optimizers[0].table_optimizer.last_run.metrics.job_duration_in_hour #=> String
resp.table_optimizers[0].table_optimizer.last_run.error #=> String
resp.table_optimizers[0].table_optimizer.last_run.compaction_metrics.iceberg_metrics.number_of_bytes_compacted #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.compaction_metrics.iceberg_metrics.number_of_files_compacted #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.compaction_metrics.iceberg_metrics.dpu_hours #=> Float
resp.table_optimizers[0].table_optimizer.last_run.compaction_metrics.iceberg_metrics.number_of_dpus #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.compaction_metrics.iceberg_metrics.job_duration_in_hour #=> Float
resp.table_optimizers[0].table_optimizer.last_run.compaction_strategy #=> String, one of "binpack", "sort", "z-order"
resp.table_optimizers[0].table_optimizer.last_run.retention_metrics.iceberg_metrics.number_of_data_files_deleted #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.retention_metrics.iceberg_metrics.number_of_manifest_files_deleted #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.retention_metrics.iceberg_metrics.number_of_manifest_lists_deleted #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.retention_metrics.iceberg_metrics.dpu_hours #=> Float
resp.table_optimizers[0].table_optimizer.last_run.retention_metrics.iceberg_metrics.number_of_dpus #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.retention_metrics.iceberg_metrics.job_duration_in_hour #=> Float
resp.table_optimizers[0].table_optimizer.last_run.orphan_file_deletion_metrics.iceberg_metrics.number_of_orphan_files_deleted #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.orphan_file_deletion_metrics.iceberg_metrics.dpu_hours #=> Float
resp.table_optimizers[0].table_optimizer.last_run.orphan_file_deletion_metrics.iceberg_metrics.number_of_dpus #=> Integer
resp.table_optimizers[0].table_optimizer.last_run.orphan_file_deletion_metrics.iceberg_metrics.job_duration_in_hour #=> Float
resp.failures #=> Array
resp.failures[0].error.error_code #=> String
resp.failures[0].error.error_message #=> String
resp.failures[0].catalog_id #=> String
resp.failures[0].database_name #=> String
resp.failures[0].table_name #=> String
resp.failures[0].type #=> String, one of "compaction", "retention", "orphan_file_deletion"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:entries (required, Array<Types::BatchGetTableOptimizerEntry>) —
A list of BatchGetTableOptimizerEntry objects specifying the table optimizers to retrieve.

Returns:

(Types::BatchGetTableOptimizerResponse) —
Returns a response object which responds to the following methods:
- #table_optimizers => Array<Types::BatchTableOptimizer>
- #failures => Array<Types::BatchGetTableOptimizerError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2288

def batch_get_table_optimizer(params = {}, options = {})
  req = build_request(:batch_get_table_optimizer, params)
  req.send_request(options)
end

#batch_get_triggers(params = {}) ⇒ `Types::BatchGetTriggersResponse`

Returns a list of resource metadata for a given list of trigger names. After calling the ListTriggers operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values


resp = client.batch_get_triggers({
  trigger_names: ["NameString"], # required
})

Response structure


resp.triggers #=> Array
resp.triggers[0].name #=> String
resp.triggers[0].workflow_name #=> String
resp.triggers[0].id #=> String
resp.triggers[0].type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.triggers[0].state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.triggers[0].description #=> String
resp.triggers[0].schedule #=> String
resp.triggers[0].actions #=> Array
resp.triggers[0].actions[0].job_name #=> String
resp.triggers[0].actions[0].arguments #=> Hash
resp.triggers[0].actions[0].arguments["GenericString"] #=> String
resp.triggers[0].actions[0].timeout #=> Integer
resp.triggers[0].actions[0].security_configuration #=> String
resp.triggers[0].actions[0].notification_property.notify_delay_after #=> Integer
resp.triggers[0].actions[0].crawler_name #=> String
resp.triggers[0].predicate.logical #=> String, one of "AND", "ANY"
resp.triggers[0].predicate.conditions #=> Array
resp.triggers[0].predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.triggers[0].predicate.conditions[0].job_name #=> String
resp.triggers[0].predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.triggers[0].predicate.conditions[0].crawler_name #=> String
resp.triggers[0].predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.triggers[0].event_batching_condition.batch_size #=> Integer
resp.triggers[0].event_batching_condition.batch_window #=> Integer
resp.triggers_not_found #=> Array
resp.triggers_not_found[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:trigger_names (required, Array<String>) —
A list of trigger names, which may be the names returned from the ListTriggers operation.

Returns:

(Types::BatchGetTriggersResponse) —
Returns a response object which responds to the following methods:
- #triggers => Array<Types::Trigger>
- #triggers_not_found => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2348

def batch_get_triggers(params = {}, options = {})
  req = build_request(:batch_get_triggers, params)
  req.send_request(options)
end

#batch_get_workflows(params = {}) ⇒ `Types::BatchGetWorkflowsResponse`

Returns a list of resource metadata for a given list of workflow names. After calling the ListWorkflows operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that uses tags.

Examples:

Request syntax with placeholder values


resp = client.batch_get_workflows({
  names: ["NameString"], # required
  include_graph: false,
})

Response structure


resp.workflows #=> Array
resp.workflows[0].name #=> String
resp.workflows[0].description #=> String
resp.workflows[0].default_run_properties #=> Hash
resp.workflows[0].default_run_properties["IdString"] #=> String
resp.workflows[0].created_on #=> Time
resp.workflows[0].last_modified_on #=> Time
resp.workflows[0].last_run.name #=> String
resp.workflows[0].last_run.workflow_run_id #=> String
resp.workflows[0].last_run.previous_run_id #=> String
resp.workflows[0].last_run.workflow_run_properties #=> Hash
resp.workflows[0].last_run.workflow_run_properties["IdString"] #=> String
resp.workflows[0].last_run.started_on #=> Time
resp.workflows[0].last_run.completed_on #=> Time
resp.workflows[0].last_run.status #=> String, one of "RUNNING", "COMPLETED", "STOPPING", "STOPPED", "ERROR"
resp.workflows[0].last_run.error_message #=> String
resp.workflows[0].last_run.statistics.total_actions #=> Integer
resp.workflows[0].last_run.statistics.timeout_actions #=> Integer
resp.workflows[0].last_run.statistics.failed_actions #=> Integer
resp.workflows[0].last_run.statistics.stopped_actions #=> Integer
resp.workflows[0].last_run.statistics.succeeded_actions #=> Integer
resp.workflows[0].last_run.statistics.running_actions #=> Integer
resp.workflows[0].last_run.statistics.errored_actions #=> Integer
resp.workflows[0].last_run.statistics.waiting_actions #=> Integer
resp.workflows[0].last_run.graph.nodes #=> Array
resp.workflows[0].last_run.graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflows[0].last_run.graph.nodes[0].name #=> String
resp.workflows[0].last_run.graph.nodes[0].unique_id #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_size #=> Integer
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_window #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs #=> Array
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_run_queuing_enabled #=> Boolean
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].dpu_seconds #=> Float
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].maintenance_window #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].profile_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].state_detail #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls #=> Array
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.workflows[0].last_run.graph.edges #=> Array
resp.workflows[0].last_run.graph.edges[0].source_id #=> String
resp.workflows[0].last_run.graph.edges[0].destination_id #=> String
resp.workflows[0].last_run.starting_event_batch_condition.batch_size #=> Integer
resp.workflows[0].last_run.starting_event_batch_condition.batch_window #=> Integer
resp.workflows[0].graph.nodes #=> Array
resp.workflows[0].graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflows[0].graph.nodes[0].name #=> String
resp.workflows[0].graph.nodes[0].unique_id #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_size #=> Integer
resp.workflows[0].graph.nodes[0].trigger_details.trigger.event_batching_condition.batch_window #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs #=> Array
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_run_queuing_enabled #=> Boolean
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].dpu_seconds #=> Float
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].maintenance_window #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].profile_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].state_detail #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls #=> Array
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.workflows[0].graph.edges #=> Array
resp.workflows[0].graph.edges[0].source_id #=> String
resp.workflows[0].graph.edges[0].destination_id #=> String
resp.workflows[0].max_concurrent_runs #=> Integer
resp.workflows[0].blueprint_details.blueprint_name #=> String
resp.workflows[0].blueprint_details.run_id #=> String
resp.missing_workflows #=> Array
resp.missing_workflows[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:names (required, Array<String>) —
A list of workflow names, which may be the names returned from the ListWorkflows operation.
:include_graph (Boolean) —
Specifies whether to include a graph when returning the workflow resource metadata.

Returns:

(Types::BatchGetWorkflowsResponse) —
Returns a response object which responds to the following methods:
- #workflows => Array<Types::Workflow>
- #missing_workflows => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2559

def batch_get_workflows(params = {}, options = {})
  req = build_request(:batch_get_workflows, params)
  req.send_request(options)
end

#batch_put_data_quality_statistic_annotation(params = {}) ⇒ `Types::BatchPutDataQualityStatisticAnnotationResponse`

Annotate datapoints over time for a specific data quality statistic.

Examples:

Request syntax with placeholder values


resp = client.batch_put_data_quality_statistic_annotation({
  inclusion_annotations: [ # required
    {
      profile_id: "HashString",
      statistic_id: "HashString",
      inclusion_annotation: "INCLUDE", # accepts INCLUDE, EXCLUDE
    },
  ],
  client_token: "HashString",
})

Response structure


resp.failed_inclusion_annotations #=> Array
resp.failed_inclusion_annotations[0].profile_id #=> String
resp.failed_inclusion_annotations[0].statistic_id #=> String
resp.failed_inclusion_annotations[0].failure_reason #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:inclusion_annotations (required, Array<Types::DatapointInclusionAnnotation>) —
A list of DatapointInclusionAnnotation's.
:client_token (String) —
Client Token.

Returns:

(Types::BatchPutDataQualityStatisticAnnotationResponse) —
Returns a response object which responds to the following methods:
- #failed_inclusion_annotations => Array<Types::AnnotationError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2600

def batch_put_data_quality_statistic_annotation(params = {}, options = {})
  req = build_request(:batch_put_data_quality_statistic_annotation, params)
  req.send_request(options)
end

#batch_stop_job_run(params = {}) ⇒ `Types::BatchStopJobRunResponse`

Stops one or more job runs for a specified job definition.

Examples:

Request syntax with placeholder values


resp = client.batch_stop_job_run({
  job_name: "NameString", # required
  job_run_ids: ["IdString"], # required
})

Response structure


resp.successful_submissions #=> Array
resp.successful_submissions[0].job_name #=> String
resp.successful_submissions[0].job_run_id #=> String
resp.errors #=> Array
resp.errors[0].job_name #=> String
resp.errors[0].job_run_id #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:job_name (required, String) —
The name of the job definition for which to stop job runs.
:job_run_ids (required, Array<String>) —
A list of the JobRunIds that should be stopped for that job definition.

Returns:

(Types::BatchStopJobRunResponse) —
Returns a response object which responds to the following methods:
- #successful_submissions => Array<Types::BatchStopJobRunSuccessfulSubmission>
- #errors => Array<Types::BatchStopJobRunError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2641

def batch_stop_job_run(params = {}, options = {})
  req = build_request(:batch_stop_job_run, params)
  req.send_request(options)
end

#batch_update_partition(params = {}) ⇒ `Types::BatchUpdatePartitionResponse`

Updates one or more partitions in a batch operation.

Examples:

Request syntax with placeholder values


resp = client.batch_update_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  entries: [ # required
    {
      partition_value_list: ["ValueString"], # required
      partition_input: { # required
        values: ["ValueString"],
        last_access_time: Time.now,
        storage_descriptor: {
          columns: [
            {
              name: "NameString", # required
              type: "ColumnTypeString",
              comment: "CommentString",
              parameters: {
                "KeyString" => "ParametersMapValue",
              },
            },
          ],
          location: "LocationString",
          additional_locations: ["LocationString"],
          input_format: "FormatString",
          output_format: "FormatString",
          compressed: false,
          number_of_buckets: 1,
          serde_info: {
            name: "NameString",
            serialization_library: "NameString",
            parameters: {
              "KeyString" => "ParametersMapValue",
            },
          },
          bucket_columns: ["NameString"],
          sort_columns: [
            {
              column: "NameString", # required
              sort_order: 1, # required
            },
          ],
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
          skewed_info: {
            skewed_column_names: ["NameString"],
            skewed_column_values: ["ColumnValuesString"],
            skewed_column_value_location_maps: {
              "ColumnValuesString" => "ColumnValuesString",
            },
          },
          stored_as_sub_directories: false,
          schema_reference: {
            schema_id: {
              schema_arn: "GlueResourceArn",
              schema_name: "SchemaRegistryNameString",
              registry_name: "SchemaRegistryNameString",
            },
            schema_version_id: "SchemaVersionIdString",
            schema_version_number: 1,
          },
        },
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
        last_analyzed_time: Time.now,
      },
    },
  ],
})

Response structure


resp.errors #=> Array
resp.errors[0].partition_value_list #=> Array
resp.errors[0].partition_value_list[0] #=> String
resp.errors[0].error_detail.error_code #=> String
resp.errors[0].error_detail.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the catalog in which the partition is to be updated. Currently, this should be the Amazon Web Services account ID.
:database_name (required, String) —
The name of the metadata database in which the partition is to be updated.
:table_name (required, String) —
The name of the metadata table in which the partition is to be updated.
:entries (required, Array<Types::BatchUpdatePartitionRequestEntry>) —
A list of up to 100 BatchUpdatePartitionRequestEntry objects to update.

Returns:

(Types::BatchUpdatePartitionResponse) —
Returns a response object which responds to the following methods:
- #errors => Array<Types::BatchUpdatePartitionFailureEntry>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2753

def batch_update_partition(params = {}, options = {})
  req = build_request(:batch_update_partition, params)
  req.send_request(options)
end

#cancel_data_quality_rule_recommendation_run(params = {}) ⇒ `Struct`

Cancels the specified recommendation run that was being used to generate rules.

Examples:

Request syntax with placeholder values


resp = client.cancel_data_quality_rule_recommendation_run({
  run_id: "HashString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:run_id (required, String) —
The unique run identifier associated with this run.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2776

def cancel_data_quality_rule_recommendation_run(params = {}, options = {})
  req = build_request(:cancel_data_quality_rule_recommendation_run, params)
  req.send_request(options)
end

#cancel_data_quality_ruleset_evaluation_run(params = {}) ⇒ `Struct`

Cancels a run where a ruleset is being evaluated against a data source.

Examples:

Request syntax with placeholder values


resp = client.cancel_data_quality_ruleset_evaluation_run({
  run_id: "HashString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:run_id (required, String) —
The unique run identifier associated with this run.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2799

def cancel_data_quality_ruleset_evaluation_run(params = {}, options = {})
  req = build_request(:cancel_data_quality_ruleset_evaluation_run, params)
  req.send_request(options)
end

#cancel_ml_task_run(params = {}) ⇒ `Types::CancelMLTaskRunResponse`

Cancels (stops) a task run. Machine learning task runs are asynchronous tasks that Glue runs on your behalf as part of various machine learning workflows. You can cancel a machine learning task run at any time by calling CancelMLTaskRun with a task run's parent transform's TransformID and the task run's TaskRunId.

Examples:

Request syntax with placeholder values


resp = client.cancel_ml_task_run({
  transform_id: "HashString", # required
  task_run_id: "HashString", # required
})

Response structure


resp.transform_id #=> String
resp.task_run_id #=> String
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:transform_id (required, String) —
The unique identifier of the machine learning transform.
:task_run_id (required, String) —
A unique identifier for the task run.

Returns:

(Types::CancelMLTaskRunResponse) —
Returns a response object which responds to the following methods:
- #transform_id => String
- #task_run_id => String
- #status => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2839

def cancel_ml_task_run(params = {}, options = {})
  req = build_request(:cancel_ml_task_run, params)
  req.send_request(options)
end

#cancel_statement(params = {}) ⇒ `Struct`

Cancels the statement.

Examples:

Request syntax with placeholder values


resp = client.cancel_statement({
  session_id: "NameString", # required
  id: 1, # required
  request_origin: "OrchestrationNameString",
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:session_id (required, String) —
The Session ID of the statement to be cancelled.
:id (required, Integer) —
The ID of the statement to be cancelled.
:request_origin (String) —
The origin of the request to cancel the statement.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2869

def cancel_statement(params = {}, options = {})
  req = build_request(:cancel_statement, params)
  req.send_request(options)
end

#check_schema_version_validity(params = {}) ⇒ `Types::CheckSchemaVersionValidityResponse`

Validates the supplied schema. This call has no side effects, it simply validates using the supplied schema using DataFormat as the format. Since it does not take a schema set name, no compatibility checks are performed.

Examples:

Request syntax with placeholder values


resp = client.check_schema_version_validity({
  data_format: "AVRO", # required, accepts AVRO, JSON, PROTOBUF
  schema_definition: "SchemaDefinitionString", # required
})

Response structure


resp.valid #=> Boolean
resp.error #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:data_format (required, String) —
The data format of the schema definition. Currently AVRO, JSON and PROTOBUF are supported.
:schema_definition (required, String) —
The definition of the schema that has to be validated.

Returns:

(Types::CheckSchemaVersionValidityResponse) —
Returns a response object which responds to the following methods:
- #valid => Boolean
- #error => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2907

def check_schema_version_validity(params = {}, options = {})
  req = build_request(:check_schema_version_validity, params)
  req.send_request(options)
end

#create_blueprint(params = {}) ⇒ `Types::CreateBlueprintResponse`

Registers a blueprint with Glue.

Examples:

Request syntax with placeholder values


resp = client.create_blueprint({
  name: "OrchestrationNameString", # required
  description: "Generic512CharString",
  blueprint_location: "OrchestrationS3Location", # required
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the blueprint.
:description (String) —
A description of the blueprint.
:blueprint_location (required, String) —
Specifies a path in Amazon S3 where the blueprint is published.
:tags (Hash<String,String>) —
The tags to be applied to this blueprint.

Returns:

(Types::CreateBlueprintResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 2949

def create_blueprint(params = {}, options = {})
  req = build_request(:create_blueprint, params)
  req.send_request(options)
end

#create_catalog(params = {}) ⇒ `Struct`

Creates a new catalog in the Glue Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.create_catalog({
  name: "CatalogNameString", # required
  catalog_input: { # required
    description: "DescriptionString",
    federated_catalog: {
      identifier: "FederationIdentifier",
      connection_name: "NameString",
    },
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    target_redshift_catalog: {
      catalog_arn: "ResourceArnString", # required
    },
    catalog_properties: {
      data_lake_access_properties: {
        data_lake_access: false,
        data_transfer_role: "IAMRoleArn",
        kms_key: "ResourceArnString",
        catalog_type: "NameString",
      },
      custom_properties: {
        "KeyString" => "ParametersMapValue",
      },
    },
    create_table_default_permissions: [
      {
        principal: {
          data_lake_principal_identifier: "DataLakePrincipalString",
        },
        permissions: ["ALL"], # accepts ALL, SELECT, ALTER, DROP, DELETE, INSERT, CREATE_DATABASE, CREATE_TABLE, DATA_LOCATION_ACCESS
      },
    ],
    create_database_default_permissions: [
      {
        principal: {
          data_lake_principal_identifier: "DataLakePrincipalString",
        },
        permissions: ["ALL"], # accepts ALL, SELECT, ALTER, DROP, DELETE, INSERT, CREATE_DATABASE, CREATE_TABLE, DATA_LOCATION_ACCESS
      },
    ],
    allow_full_table_external_data_access: "True", # accepts True, False
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the catalog to create.
:catalog_input (required, Types::CatalogInput) —
A CatalogInput object that defines the metadata for the catalog.
:tags (Hash<String,String>) —
A map array of key-value pairs, not more than 50 pairs. Each key is a UTF-8 string, not less than 1 or more than 128 bytes long. Each value is a UTF-8 string, not more than 256 bytes long. The tags you assign to the catalog.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3024

def create_catalog(params = {}, options = {})
  req = build_request(:create_catalog, params)
  req.send_request(options)
end

#create_classifier(params = {}) ⇒ `Struct`

Creates a classifier in the user's account. This can be a GrokClassifier, an XMLClassifier, a JsonClassifier, or a CsvClassifier, depending on which field of the request is present.

Examples:

Request syntax with placeholder values


resp = client.create_classifier({
  grok_classifier: {
    classification: "Classification", # required
    name: "NameString", # required
    grok_pattern: "GrokPattern", # required
    custom_patterns: "CustomPatterns",
  },
  xml_classifier: {
    classification: "Classification", # required
    name: "NameString", # required
    row_tag: "RowTag",
  },
  json_classifier: {
    name: "NameString", # required
    json_path: "JsonPath", # required
  },
  csv_classifier: {
    name: "NameString", # required
    delimiter: "CsvColumnDelimiter",
    quote_symbol: "CsvQuoteSymbol",
    contains_header: "UNKNOWN", # accepts UNKNOWN, PRESENT, ABSENT
    header: ["NameString"],
    disable_value_trimming: false,
    allow_single_column: false,
    custom_datatype_configured: false,
    custom_datatypes: ["NameString"],
    serde: "OpenCSVSerDe", # accepts OpenCSVSerDe, LazySimpleSerDe, None
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:grok_classifier (Types::CreateGrokClassifierRequest) —
A GrokClassifier object specifying the classifier to create.
:xml_classifier (Types::CreateXMLClassifierRequest) —
An XMLClassifier object specifying the classifier to create.
:json_classifier (Types::CreateJsonClassifierRequest) —
A JsonClassifier object specifying the classifier to create.
:csv_classifier (Types::CreateCsvClassifierRequest) —
A CsvClassifier object specifying the classifier to create.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3083

def create_classifier(params = {}, options = {})
  req = build_request(:create_classifier, params)
  req.send_request(options)
end

#create_column_statistics_task_settings(params = {}) ⇒ `Struct`

Creates settings for a column statistics task.

Examples:

Request syntax with placeholder values


resp = client.create_column_statistics_task_settings({
  database_name: "NameString", # required
  table_name: "NameString", # required
  role: "NameString", # required
  schedule: "CronExpression",
  column_name_list: ["NameString"],
  sample_size: 1.0,
  catalog_id: "NameString",
  security_configuration: "NameString",
  tags: {
    "TagKey" => "TagValue",
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:database_name (required, String) —
The name of the database where the table resides.
:table_name (required, String) —
The name of the table for which to generate column statistics.
:role (required, String) —
The role used for running the column statistics.
:schedule (String) —
A schedule for running the column statistics, specified in CRON syntax.
:column_name_list (Array<String>) —
A list of column names for which to run statistics.
:sample_size (Float) —
The percentage of data to sample.
:catalog_id (String) —
The ID of the Data Catalog in which the database resides.
:security_configuration (String) —
Name of the security configuration that is used to encrypt CloudWatch logs.
:tags (Hash<String,String>) —
A map of tags.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3141

def create_column_statistics_task_settings(params = {}, options = {})
  req = build_request(:create_column_statistics_task_settings, params)
  req.send_request(options)
end

#create_connection(params = {}) ⇒ `Types::CreateConnectionResponse`

Creates a connection definition in the Data Catalog.

Connections used for creating federated resources require the IAM glue:PassConnection permission.

Examples:

Request syntax with placeholder values


resp = client.create_connection({
  catalog_id: "CatalogIdString",
  connection_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    connection_type: "JDBC", # required, accepts JDBC, SFTP, MONGODB, KAFKA, NETWORK, MARKETPLACE, CUSTOM, SALESFORCE, VIEW_VALIDATION_REDSHIFT, VIEW_VALIDATION_ATHENA, GOOGLEADS, GOOGLESHEETS, GOOGLEANALYTICS4, SERVICENOW, MARKETO, SAPODATA, ZENDESK, JIRACLOUD, NETSUITEERP, HUBSPOT, FACEBOOKADS, INSTAGRAMADS, ZOHOCRM, SALESFORCEPARDOT, SALESFORCEMARKETINGCLOUD, SLACK, STRIPE, INTERCOM, SNAPCHATADS
    match_criteria: ["NameString"],
    connection_properties: { # required
      "HOST" => "ValueString",
    },
    spark_properties: {
      "PropertyKey" => "PropertyValue",
    },
    athena_properties: {
      "PropertyKey" => "PropertyValue",
    },
    python_properties: {
      "PropertyKey" => "PropertyValue",
    },
    physical_connection_requirements: {
      subnet_id: "NameString",
      security_group_id_list: ["NameString"],
      availability_zone: "NameString",
    },
    authentication_configuration: {
      authentication_type: "BASIC", # accepts BASIC, OAUTH2, CUSTOM, IAM
      o_auth_2_properties: {
        o_auth_2_grant_type: "AUTHORIZATION_CODE", # accepts AUTHORIZATION_CODE, CLIENT_CREDENTIALS, JWT_BEARER
        o_auth_2_client_application: {
          user_managed_client_application_client_id: "UserManagedClientApplicationClientId",
          aws_managed_client_application_reference: "AWSManagedClientApplicationReference",
        },
        token_url: "TokenUrl",
        token_url_parameters_map: {
          "TokenUrlParameterKey" => "TokenUrlParameterValue",
        },
        authorization_code_properties: {
          authorization_code: "AuthorizationCode",
          redirect_uri: "RedirectUri",
        },
        o_auth_2_credentials: {
          user_managed_client_application_client_secret: "UserManagedClientApplicationClientSecret",
          access_token: "AccessToken",
          refresh_token: "RefreshToken",
          jwt_token: "JwtToken",
        },
      },
      secret_arn: "SecretArn",
      kms_key_arn: "KmsKeyArn",
      basic_authentication_credentials: {
        username: "Username",
        password: "Password",
      },
      custom_authentication_credentials: {
        "CredentialKey" => "CredentialValue",
      },
    },
    validate_credentials: false,
    validate_for_compute_environments: ["SPARK"], # accepts SPARK, ATHENA, PYTHON
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.create_connection_status #=> String, one of "READY", "IN_PROGRESS", "FAILED"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which to create the connection. If none is provided, the Amazon Web Services account ID is used by default.
:connection_input (required, Types::ConnectionInput) —
A ConnectionInput object defining the connection to create.
:tags (Hash<String,String>) —
The tags you assign to the connection.

Returns:

(Types::CreateConnectionResponse) —
Returns a response object which responds to the following methods:
- #create_connection_status => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3240

def create_connection(params = {}, options = {})
  req = build_request(:create_connection, params)
  req.send_request(options)
end

#create_crawler(params = {}) ⇒ `Struct`

Creates a new crawler with specified targets, role, configuration, and optional schedule. At least one crawl target must be specified, in the s3Targets field, the jdbcTargets field, or the DynamoDBTargets field.

Examples:

Request syntax with placeholder values


resp = client.create_crawler({
  name: "NameString", # required
  role: "Role", # required
  database_name: "DatabaseName",
  description: "DescriptionString",
  targets: { # required
    s3_targets: [
      {
        path: "Path",
        exclusions: ["Path"],
        connection_name: "ConnectionName",
        sample_size: 1,
        event_queue_arn: "EventQueueArn",
        dlq_event_queue_arn: "EventQueueArn",
      },
    ],
    jdbc_targets: [
      {
        connection_name: "ConnectionName",
        path: "Path",
        exclusions: ["Path"],
        enable_additional_metadata: ["COMMENTS"], # accepts COMMENTS, RAWTYPES
      },
    ],
    mongo_db_targets: [
      {
        connection_name: "ConnectionName",
        path: "Path",
        scan_all: false,
      },
    ],
    dynamo_db_targets: [
      {
        path: "Path",
        scan_all: false,
        scan_rate: 1.0,
      },
    ],
    catalog_targets: [
      {
        database_name: "NameString", # required
        tables: ["NameString"], # required
        connection_name: "ConnectionName",
        event_queue_arn: "EventQueueArn",
        dlq_event_queue_arn: "EventQueueArn",
      },
    ],
    delta_targets: [
      {
        delta_tables: ["Path"],
        connection_name: "ConnectionName",
        write_manifest: false,
        create_native_delta_table: false,
      },
    ],
    iceberg_targets: [
      {
        paths: ["Path"],
        connection_name: "ConnectionName",
        exclusions: ["Path"],
        maximum_traversal_depth: 1,
      },
    ],
    hudi_targets: [
      {
        paths: ["Path"],
        connection_name: "ConnectionName",
        exclusions: ["Path"],
        maximum_traversal_depth: 1,
      },
    ],
  },
  schedule: "CronExpression",
  classifiers: ["NameString"],
  table_prefix: "TablePrefix",
  schema_change_policy: {
    update_behavior: "LOG", # accepts LOG, UPDATE_IN_DATABASE
    delete_behavior: "LOG", # accepts LOG, DELETE_FROM_DATABASE, DEPRECATE_IN_DATABASE
  },
  recrawl_policy: {
    recrawl_behavior: "CRAWL_EVERYTHING", # accepts CRAWL_EVERYTHING, CRAWL_NEW_FOLDERS_ONLY, CRAWL_EVENT_MODE
  },
  lineage_configuration: {
    crawler_lineage_settings: "ENABLE", # accepts ENABLE, DISABLE
  },
  lake_formation_configuration: {
    use_lake_formation_credentials: false,
    account_id: "AccountId",
  },
  configuration: "CrawlerConfiguration",
  crawler_security_configuration: "CrawlerSecurityConfiguration",
  tags: {
    "TagKey" => "TagValue",
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
Name of the new crawler.
:role (required, String) —
The IAM role or Amazon Resource Name (ARN) of an IAM role used by the new crawler to access customer resources.
:database_name (String) —
The Glue database where results are written, such as: arn:aws:daylight:us-east-1::database/sometable/*.
:description (String) —
A description of the new crawler.
:targets (required, Types::CrawlerTargets) —
A list of collection of targets to crawl.
:schedule (String) —
A cron expression used to specify the schedule (see Time-Based Schedules for Jobs and Crawlers. For example, to run something every day at 12:15 UTC, you would specify: cron(15 12 * * ? *).
:classifiers (Array<String>) —
A list of custom classifiers that the user has registered. By default, all built-in classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.
:table_prefix (String) —
The table prefix used for catalog tables that are created.
:schema_change_policy (Types::SchemaChangePolicy) —
The policy for the crawler's update and deletion behavior.
:recrawl_policy (Types::RecrawlPolicy) —
A policy that specifies whether to crawl the entire dataset again, or to crawl only folders that were added since the last crawler run.
:lineage_configuration (Types::LineageConfiguration) —
Specifies data lineage configuration settings for the crawler.
:lake_formation_configuration (Types::LakeFormationConfiguration) —
Specifies Lake Formation configuration settings for the crawler.
:configuration (String) —
Crawler configuration information. This versioned JSON string allows users to specify aspects of a crawler's behavior. For more information, see Setting crawler configuration options.
:crawler_security_configuration (String) —
The name of the SecurityConfiguration structure to be used by this crawler.
:tags (Hash<String,String>) —
The tags to use with this crawler request. You may use tags to limit access to the crawler. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3424

def create_crawler(params = {}, options = {})
  req = build_request(:create_crawler, params)
  req.send_request(options)
end

#create_custom_entity_type(params = {}) ⇒ `Types::CreateCustomEntityTypeResponse`

Creates a custom pattern that is used to detect sensitive data across the columns and rows of your structured data.

Each custom pattern you create specifies a regular expression and an optional list of context words. If no context words are passed only a regular expression is checked.

Examples:

Request syntax with placeholder values


resp = client.create_custom_entity_type({
  name: "NameString", # required
  regex_string: "NameString", # required
  context_words: ["NameString"],
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
A name for the custom pattern that allows it to be retrieved or deleted later. This name must be unique per Amazon Web Services account.
:regex_string (required, String) —
A regular expression string that is used for detecting sensitive data in a custom pattern.
:context_words (Array<String>) —
A list of context words. If none of these context words are found within the vicinity of the regular expression the data will not be detected as sensitive data.

If no context words are passed only a regular expression is checked.
:tags (Hash<String,String>) —
A list of tags applied to the custom entity type.

Returns:

(Types::CreateCustomEntityTypeResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3478

def create_custom_entity_type(params = {}, options = {})
  req = build_request(:create_custom_entity_type, params)
  req.send_request(options)
end

#create_data_quality_ruleset(params = {}) ⇒ `Types::CreateDataQualityRulesetResponse`

Creates a data quality ruleset with DQDL rules applied to a specified Glue table.

You create the ruleset using the Data Quality Definition Language (DQDL). For more information, see the Glue developer guide.

Examples:

Request syntax with placeholder values


resp = client.create_data_quality_ruleset({
  name: "NameString", # required
  description: "DescriptionString",
  ruleset: "DataQualityRulesetString", # required
  tags: {
    "TagKey" => "TagValue",
  },
  target_table: {
    table_name: "NameString", # required
    database_name: "NameString", # required
    catalog_id: "NameString",
  },
  data_quality_security_configuration: "NameString",
  client_token: "HashString",
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
A unique name for the data quality ruleset.
:description (String) —
A description of the data quality ruleset.
:ruleset (required, String) —
A Data Quality Definition Language (DQDL) ruleset. For more information, see the Glue developer guide.
:tags (Hash<String,String>) —
A list of tags applied to the data quality ruleset.
:target_table (Types::DataQualityTargetTable) —
A target table associated with the data quality ruleset.
:data_quality_security_configuration (String) —
The name of the security configuration created with the data quality encryption option.
:client_token (String) —
Used for idempotency and is recommended to be set to a random ID (such as a UUID) to avoid creating or starting multiple instances of the same resource.

Returns:

(Types::CreateDataQualityRulesetResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3544

def create_data_quality_ruleset(params = {}, options = {})
  req = build_request(:create_data_quality_ruleset, params)
  req.send_request(options)
end

#create_database(params = {}) ⇒ `Struct`

Creates a new database in a Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.create_database({
  catalog_id: "CatalogIdString",
  database_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    location_uri: "URI",
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    create_table_default_permissions: [
      {
        principal: {
          data_lake_principal_identifier: "DataLakePrincipalString",
        },
        permissions: ["ALL"], # accepts ALL, SELECT, ALTER, DROP, DELETE, INSERT, CREATE_DATABASE, CREATE_TABLE, DATA_LOCATION_ACCESS
      },
    ],
    target_database: {
      catalog_id: "CatalogIdString",
      database_name: "NameString",
      region: "NameString",
    },
    federated_database: {
      identifier: "FederationIdentifier",
      connection_name: "NameString",
    },
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which to create the database. If none is provided, the Amazon Web Services account ID is used by default.
:database_input (required, Types::DatabaseInput) —
The metadata for the database.
:tags (Hash<String,String>) —
The tags you assign to the database.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3601

def create_database(params = {}, options = {})
  req = build_request(:create_database, params)
  req.send_request(options)
end

#create_dev_endpoint(params = {}) ⇒ `Types::CreateDevEndpointResponse`

Creates a new development endpoint.

Examples:

Request syntax with placeholder values


resp = client.create_dev_endpoint({
  endpoint_name: "GenericString", # required
  role_arn: "RoleArn", # required
  security_group_ids: ["GenericString"],
  subnet_id: "GenericString",
  public_key: "GenericString",
  public_keys: ["GenericString"],
  number_of_nodes: 1,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X, G.025X, G.4X, G.8X, Z.2X
  glue_version: "GlueVersionString",
  number_of_workers: 1,
  extra_python_libs_s3_path: "GenericString",
  extra_jars_s3_path: "GenericString",
  security_configuration: "NameString",
  tags: {
    "TagKey" => "TagValue",
  },
  arguments: {
    "GenericString" => "GenericString",
  },
})

Response structure


resp.endpoint_name #=> String
resp.status #=> String
resp.security_group_ids #=> Array
resp.security_group_ids[0] #=> String
resp.subnet_id #=> String
resp.role_arn #=> String
resp.yarn_endpoint_address #=> String
resp.zeppelin_remote_spark_interpreter_port #=> Integer
resp.number_of_nodes #=> Integer
resp.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.glue_version #=> String
resp.number_of_workers #=> Integer
resp.availability_zone #=> String
resp.vpc_id #=> String
resp.extra_python_libs_s3_path #=> String
resp.extra_jars_s3_path #=> String
resp.failure_reason #=> String
resp.security_configuration #=> String
resp.created_timestamp #=> Time
resp.arguments #=> Hash
resp.arguments["GenericString"] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:endpoint_name (required, String) —
The name to be assigned to the new DevEndpoint.
:role_arn (required, String) —
The IAM role for the DevEndpoint.
:security_group_ids (Array<String>) —
Security group IDs for the security groups to be used by the new DevEndpoint.
:subnet_id (String) —
The subnet ID for the new DevEndpoint to use.
:public_key (String) —
The public key to be used by this DevEndpoint for authentication. This attribute is provided for backward compatibility because the recommended attribute to use is public keys.
:public_keys (Array<String>) —
A list of public keys to be used by the development endpoints for authentication. The use of this attribute is preferred over a single public key because the public keys allow you to have a different private key per client.

If you previously created an endpoint with a public key, you must remove that key to be able to set a list of public keys. Call the UpdateDevEndpoint API with the public key content in the deletePublicKeys attribute, and the list of new keys in the addPublicKeys attribute.
:number_of_nodes (Integer) —
The number of Glue Data Processing Units (DPUs) to allocate to this DevEndpoint.
:worker_type (String) —
The type of predefined worker that is allocated to the development endpoint. Accepts a value of Standard, G.1X, or G.2X.
- For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
- For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
- For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
Known issue: when a development endpoint is created with the G.2X WorkerType configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk.
:glue_version (String) —
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints.

For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.

Development endpoints that are created without specifying a Glue version default to Glue 0.9.

You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2.
:number_of_workers (Integer) —
The number of workers of a defined workerType that are allocated to the development endpoint.

The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.
:extra_python_libs_s3_path (String) —
The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your DevEndpoint. Multiple values must be complete paths separated by a comma.

You can only use pure Python libraries with a DevEndpoint. Libraries that rely on C extensions, such as the pandas Python data analysis library, are not yet supported.
:extra_jars_s3_path (String) —
The path to one or more Java .jar files in an S3 bucket that should be loaded in your DevEndpoint.
:security_configuration (String) —
The name of the SecurityConfiguration structure to be used with this DevEndpoint.
:tags (Hash<String,String>) —
The tags to use with this DevEndpoint. You may use tags to limit access to the DevEndpoint. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.
:arguments (Hash<String,String>) —
A map of arguments used to configure the DevEndpoint.

Returns:

(Types::CreateDevEndpointResponse) —
Returns a response object which responds to the following methods:
- #endpoint_name => String
- #status => String
- #security_group_ids => Array<String>
- #subnet_id => String
- #role_arn => String
- #yarn_endpoint_address => String
- #zeppelin_remote_spark_interpreter_port => Integer
- #number_of_nodes => Integer
- #worker_type => String
- #glue_version => String
- #number_of_workers => Integer
- #availability_zone => String
- #vpc_id => String
- #extra_python_libs_s3_path => String
- #extra_jars_s3_path => String
- #failure_reason => String
- #security_configuration => String
- #created_timestamp => Time
- #arguments => Hash<String,String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3800

def create_dev_endpoint(params = {}, options = {})
  req = build_request(:create_dev_endpoint, params)
  req.send_request(options)
end

#create_integration(params = {}) ⇒ `Types::CreateIntegrationResponse`

Creates a Zero-ETL integration in the caller's account between two resources with Amazon Resource Names (ARNs): the SourceArn and TargetArn.

Examples:

Request syntax with placeholder values


resp = client.create_integration({
  integration_name: "String128", # required
  source_arn: "String128", # required
  target_arn: "String128", # required
  description: "IntegrationDescription",
  data_filter: "String2048",
  kms_key_id: "String2048",
  additional_encryption_context: {
    "IntegrationString" => "IntegrationString",
  },
  tags: [
    {
      key: "TagKey",
      value: "TagValue",
    },
  ],
  integration_config: {
    refresh_interval: "String128",
  },
})

Response structure


resp.source_arn #=> String
resp.target_arn #=> String
resp.integration_name #=> String
resp.description #=> String
resp.integration_arn #=> String
resp.kms_key_id #=> String
resp.additional_encryption_context #=> Hash
resp.additional_encryption_context["IntegrationString"] #=> String
resp.tags #=> Array
resp.tags[0].key #=> String
resp.tags[0].value #=> String
resp.status #=> String, one of "CREATING", "ACTIVE", "MODIFYING", "FAILED", "DELETING", "SYNCING", "NEEDS_ATTENTION"
resp.create_time #=> Time
resp.errors #=> Array
resp.errors[0].error_code #=> String
resp.errors[0].error_message #=> String
resp.data_filter #=> String
resp.integration_config.refresh_interval #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:integration_name (required, String) —
A unique name for an integration in Glue.
:source_arn (required, String) —
The ARN of the source resource for the integration.
:target_arn (required, String) —
The ARN of the target resource for the integration.
:description (String) —
A description of the integration.
:data_filter (String) —
Selects source tables for the integration using Maxwell filter syntax.
:kms_key_id (String) —
The ARN of a KMS key used for encrypting the channel.
:additional_encryption_context (Hash<String,String>) —
An optional set of non-secret key–value pairs that contains additional contextual information for encryption. This can only be provided if KMSKeyId is provided.
:tags (Array<Types::Tag>) —
Metadata assigned to the resource consisting of a list of key-value pairs.
:integration_config (Types::IntegrationConfig) —
The configuration settings.

Returns:

(Types::CreateIntegrationResponse) —
Returns a response object which responds to the following methods:
- #source_arn => String
- #target_arn => String
- #integration_name => String
- #description => String
- #integration_arn => String
- #kms_key_id => String
- #additional_encryption_context => Hash<String,String>
- #tags => Array<Types::Tag>
- #status => String
- #create_time => Time
- #errors => Array<Types::IntegrationError>
- #data_filter => String
- #integration_config => Types::IntegrationConfig

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3903

def create_integration(params = {}, options = {})
  req = build_request(:create_integration, params)
  req.send_request(options)
end

#create_integration_resource_property(params = {}) ⇒ `Types::CreateIntegrationResourcePropertyResponse`

This API can be used for setting up the ResourceProperty of the Glue connection (for the source) or Glue database ARN (for the target). These properties can include the role to access the connection or database. To set both source and target properties the same API needs to be invoked with the Glue connection ARN as ResourceArn with SourceProcessingProperties and the Glue database ARN as ResourceArn with TargetProcessingProperties respectively.

Examples:

Request syntax with placeholder values


resp = client.create_integration_resource_property({
  resource_arn: "String128", # required
  source_processing_properties: {
    role_arn: "String128",
  },
  target_processing_properties: {
    role_arn: "String128",
    kms_arn: "String2048",
    connection_name: "String128",
    event_bus_arn: "String2048",
  },
})

Response structure


resp.resource_arn #=> String
resp.source_processing_properties.role_arn #=> String
resp.target_processing_properties.role_arn #=> String
resp.target_processing_properties.kms_arn #=> String
resp.target_processing_properties.connection_name #=> String
resp.target_processing_properties.event_bus_arn #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:resource_arn (required, String) —
The connection ARN of the source, or the database ARN of the target.
:source_processing_properties (Types::SourceProcessingProperties) —
The resource properties associated with the integration source.
:target_processing_properties (Types::TargetProcessingProperties) —
The resource properties associated with the integration target.

Returns:

(Types::CreateIntegrationResourcePropertyResponse) —
Returns a response object which responds to the following methods:
- #resource_arn => String
- #source_processing_properties => Types::SourceProcessingProperties
- #target_processing_properties => Types::TargetProcessingProperties

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 3959

def create_integration_resource_property(params = {}, options = {})
  req = build_request(:create_integration_resource_property, params)
  req.send_request(options)
end

#create_integration_table_properties(params = {}) ⇒ `Struct`

This API is used to provide optional override properties for the the tables that need to be replicated. These properties can include properties for filtering and partitioning for the source and target tables. To set both source and target properties the same API need to be invoked with the Glue connection ARN as ResourceArn with SourceTableConfig, and the Glue database ARN as ResourceArn with TargetTableConfig respectively.

Examples:

Request syntax with placeholder values


resp = client.create_integration_table_properties({
  resource_arn: "String128", # required
  table_name: "String128", # required
  source_table_config: {
    fields: ["String128"],
    filter_predicate: "String128",
    primary_key: ["String128"],
    record_update_field: "String128",
  },
  target_table_config: {
    unnest_spec: "TOPLEVEL", # accepts TOPLEVEL, FULL, NOUNNEST
    partition_spec: [
      {
        field_name: "String128",
        function_spec: "String128",
        conversion_spec: "String128",
      },
    ],
    target_table_name: "String128",
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:resource_arn (required, String) —
The Amazon Resource Name (ARN) of the target table for which to create integration table properties. Currently, this API only supports creating integration table properties for target tables, and the provided ARN should be the ARN of the target table in the Glue Data Catalog. Support for creating integration table properties for source connections (using the connection ARN) is not yet implemented and will be added in a future release.
:table_name (required, String) —
The name of the table to be replicated.
:source_table_config (Types::SourceTableConfig) —
A structure for the source table configuration. See the SourceTableConfig structure to see list of supported source properties.
:target_table_config (Types::TargetTableConfig) —
A structure for the target table configuration.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4022

def create_integration_table_properties(params = {}, options = {})
  req = build_request(:create_integration_table_properties, params)
  req.send_request(options)
end

#create_job(params = {}) ⇒ `Types::CreateJobResponse`

Creates a new job definition.

Examples:

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name you assign to this job definition. It must be unique in your account.
:job_mode (String) —
A mode that describes how a job was created. Valid values are:
- SCRIPT - The job was created using the Glue Studio script editor.
- VISUAL - The job was created using the Glue Studio visual editor.
- NOTEBOOK - The job was created using an interactive sessions notebook.
When the JobMode field is missing or null, SCRIPT is assigned as the default value.
:job_run_queuing_enabled (Boolean) —
Specifies whether job run queuing is enabled for the job runs for this job.

A value of true means job run queuing is enabled for the job runs. If false or not populated, the job runs will not be considered for queueing.

If this field does not match the value set in the job run, then the value from the job run field will be used.
:description (String) —
Description of the job being defined.
:log_uri (String) —
This field is reserved for future use.
:role (required, String) —
The name or Amazon Resource Name (ARN) of the IAM role associated with this job.
:execution_property (Types::ExecutionProperty) —
An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.
:command (required, Types::JobCommand) —
The JobCommand that runs this job.
:default_arguments (Hash<String,String>) —
The default arguments for every run of this job, specified as name-value pairs.

You can specify arguments here that your own job-execution script consumes, as well as arguments that Glue itself consumes.

Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Secrets Manager or other secret management mechanism if you intend to keep them within the Job.

For information about how to specify and consume your own Job arguments, see the Calling Glue APIs in Python topic in the developer guide.

For information about the arguments you can provide to this field when configuring Spark jobs, see the Special Parameters Used by Glue topic in the developer guide.

For information about the arguments you can provide to this field when configuring Ray jobs, see Using job parameters in Ray jobs in the developer guide.
:non_overridable_arguments (Hash<String,String>) —
Arguments for this job that are not overridden when providing job arguments in a job run, specified as name-value pairs.
:connections (Types::ConnectionsList) —
The connections used for this job.
:max_retries (Integer) —
The maximum number of times to retry this job if it fails.
:allocated_capacity (Integer) —
This parameter is deprecated. Use MaxCapacity instead.

The number of Glue data processing units (DPUs) to allocate to this Job. You can allocate a minimum of 2 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.
:timeout (Integer) —
The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status.

Jobs must have timeout values less than 7 days or 10080 minutes. Otherwise, the jobs will throw an exception.

When the value is left blank, the timeout is defaulted to 2880 minutes.

Any existing Glue jobs that had a timeout value greater than 7 days will be defaulted to 7 days. For instance if you have specified a timeout of 20 days for a batch job, it will be stopped on the 7th day.

For streaming jobs, if you have set up a maintenance window, it will be restarted during the maintenance window after 7 days.
:max_capacity (Float) —
For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

For Glue version 2.0+ jobs, you cannot specify a Maximum capacity. Instead, you should specify a Worker type and the Number of workers.

Do not set MaxCapacity if using WorkerType and NumberOfWorkers.

The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job, an Apache Spark ETL job, or an Apache Spark streaming ETL job:
- When you specify a Python shell job (JobCommand.Name="pythonshell"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.
- When you specify an Apache Spark ETL job (JobCommand.Name="glueetl") or Apache Spark streaming ETL job (JobCommand.Name="gluestreaming"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.
:security_configuration (String) —
The name of the SecurityConfiguration structure to be used with this job.
:tags (Hash<String,String>) —
The tags to use with this job. You may use tags to limit access to the job. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.
:notification_property (Types::NotificationProperty) —
Specifies configuration properties of a job notification.
:glue_version (String) —
In Spark jobs, GlueVersion determines the versions of Apache Spark and Python that Glue available in a job. The Python version indicates the version supported for jobs of type Spark.

Ray jobs should set GlueVersion to 4.0 or greater. However, the versions of Ray, Python and additional libraries available in your Ray job are determined by the Runtime parameter of the Job command.

For more information about the available Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.

Jobs that are created without specifying a Glue version default to Glue 0.9.
:number_of_workers (Integer) —
The number of workers of a defined workerType that are allocated when a job runs.
:worker_type (String) —
The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, G.8X or G.025X for Spark jobs. Accepts the value Z.2X for Ray jobs.
- For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 94GB disk, and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
- For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 138GB disk, and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
- For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk, and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
- For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk, and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
- For the G.025X worker type, each worker maps to 0.25 DPU (2 vCPUs, 4 GB of memory) with 84GB disk, and provides 1 executor per worker. We recommend this worker type for low volume streaming jobs. This worker type is only available for Glue version 3.0 or later streaming jobs.
- For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk, and provides up to 8 Ray workers based on the autoscaler.
:code_gen_configuration_nodes (Hash<String,Types::CodeGenConfigurationNode>) —
The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based.
:execution_class (String) —
Indicates whether the job is run with a standard or flexible execution class. The standard execution-class is ideal for time-sensitive workloads that require fast job startup and dedicated resources.

The flexible execution class is appropriate for time-insensitive jobs whose start and completion times may vary.

Only jobs with Glue version 3.0 and above and command type glueetl will be allowed to set ExecutionClass to FLEX. The flexible execution class is available for Spark jobs.
:source_control_details (Types::SourceControlDetails) —
The details for a source control configuration for a job, allowing synchronization of job artifacts to or from a remote repository.
:maintenance_window (String) —
This field specifies a day of the week and hour for a maintenance window for streaming jobs. Glue periodically performs maintenance activities. During these maintenance windows, Glue will need to restart your streaming jobs.

Glue will restart the job within 3 hours of the specified maintenance window. For instance, if you set up the maintenance window for Monday at 10:00AM GMT, your jobs will be restarted between 10:00AM GMT to 1:00PM GMT.

Returns:

(Types::CreateJobResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4305

def create_job(params = {}, options = {})
  req = build_request(:create_job, params)
  req.send_request(options)
end

#create_ml_transform(params = {}) ⇒ `Types::CreateMLTransformResponse`

Creates an Glue machine learning transform. This operation creates the transform and all the necessary parameters to train it.

Call this operation as the first step in the process of using a machine learning transform (such as the FindMatches transform) for deduplicating data. You can provide an optional Description, in addition to the parameters that you want to use for your algorithm.

You must also specify certain parameters for the tasks that Glue runs on your behalf as part of learning from your data and creating a high-quality machine learning transform. These parameters include Role, and optionally, AllocatedCapacity, Timeout, and MaxRetries. For more information, see Jobs.

Examples:

Request syntax with placeholder values


resp = client.create_ml_transform({
  name: "NameString", # required
  description: "DescriptionString",
  input_record_tables: [ # required
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
      catalog_id: "NameString",
      connection_name: "NameString",
      additional_options: {
        "NameString" => "DescriptionString",
      },
    },
  ],
  parameters: { # required
    transform_type: "FIND_MATCHES", # required, accepts FIND_MATCHES
    find_matches_parameters: {
      primary_key_column_name: "ColumnNameString",
      precision_recall_tradeoff: 1.0,
      accuracy_cost_tradeoff: 1.0,
      enforce_provided_labels: false,
    },
  },
  role: "RoleString", # required
  glue_version: "GlueVersionString",
  max_capacity: 1.0,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X, G.025X, G.4X, G.8X, Z.2X
  number_of_workers: 1,
  timeout: 1,
  max_retries: 1,
  tags: {
    "TagKey" => "TagValue",
  },
  transform_encryption: {
    ml_user_data_encryption: {
      ml_user_data_encryption_mode: "DISABLED", # required, accepts DISABLED, SSE-KMS
      kms_key_id: "NameString",
    },
    task_run_security_configuration_name: "NameString",
  },
})

Response structure


resp.transform_id #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The unique name that you give the transform when you create it.
:description (String) —
A description of the machine learning transform that is being defined. The default is an empty string.
:input_record_tables (required, Array<Types::GlueTable>) —
A list of Glue table definitions used by the transform.
:parameters (required, Types::TransformParameters) —
The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.
:role (required, String) —
The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both Glue service role permissions to Glue resources, and Amazon S3 permissions required by the transform.
- This role needs Glue service role permissions to allow access to resources in Glue. See Attach a Policy to IAM Users That Access Glue.
- This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.
:glue_version (String) —
This value determines which version of Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see Glue Versions in the developer guide.
:max_capacity (Float) —
The number of Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the Glue pricing page.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.
- If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.
- If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.
- If WorkerType is set, then NumberOfWorkers is required (and vice versa).
- MaxCapacity and NumberOfWorkers must both be at least 1.
When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.
:worker_type (String) —
The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.
- For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
- For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.
- For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.
MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.
- If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.
- If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.
- If WorkerType is set, then NumberOfWorkers is required (and vice versa).
- MaxCapacity and NumberOfWorkers must both be at least 1.
:number_of_workers (Integer) —
The number of workers of a defined workerType that are allocated when this task runs.

If WorkerType is set, then NumberOfWorkers is required (and vice versa).
:timeout (Integer) —
The timeout of the task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).
:max_retries (Integer) —
The maximum number of times to retry a task for this transform after a task run fails.
:tags (Hash<String,String>) —
The tags to use with this machine learning transform. You may use tags to limit access to the machine learning transform. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.
:transform_encryption (Types::TransformEncryption) —
The encryption-at-rest settings of the transform that apply to accessing user data. Machine learning transforms can access user data encrypted in Amazon S3 using KMS.

Returns:

(Types::CreateMLTransformResponse) —
Returns a response object which responds to the following methods:
- #transform_id => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4517

def create_ml_transform(params = {}, options = {})
  req = build_request(:create_ml_transform, params)
  req.send_request(options)
end

#create_partition(params = {}) ⇒ `Struct`

Creates a new partition.

Examples:

Request syntax with placeholder values


resp = client.create_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_input: { # required
    values: ["ValueString"],
    last_access_time: Time.now,
    storage_descriptor: {
      columns: [
        {
          name: "NameString", # required
          type: "ColumnTypeString",
          comment: "CommentString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
      ],
      location: "LocationString",
      additional_locations: ["LocationString"],
      input_format: "FormatString",
      output_format: "FormatString",
      compressed: false,
      number_of_buckets: 1,
      serde_info: {
        name: "NameString",
        serialization_library: "NameString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
      bucket_columns: ["NameString"],
      sort_columns: [
        {
          column: "NameString", # required
          sort_order: 1, # required
        },
      ],
      parameters: {
        "KeyString" => "ParametersMapValue",
      },
      skewed_info: {
        skewed_column_names: ["NameString"],
        skewed_column_values: ["ColumnValuesString"],
        skewed_column_value_location_maps: {
          "ColumnValuesString" => "ColumnValuesString",
        },
      },
      stored_as_sub_directories: false,
      schema_reference: {
        schema_id: {
          schema_arn: "GlueResourceArn",
          schema_name: "SchemaRegistryNameString",
          registry_name: "SchemaRegistryNameString",
        },
        schema_version_id: "SchemaVersionIdString",
        schema_version_number: 1,
      },
    },
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    last_analyzed_time: Time.now,
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The Amazon Web Services account ID of the catalog in which the partition is to be created.
:database_name (required, String) —
The name of the metadata database in which the partition is to be created.
:table_name (required, String) —
The name of the metadata table in which the partition is to be created.
:partition_input (required, Types::PartitionInput) —
A PartitionInput structure defining the partition to be created.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4613

def create_partition(params = {}, options = {})
  req = build_request(:create_partition, params)
  req.send_request(options)
end

#create_partition_index(params = {}) ⇒ `Struct`

Creates a specified partition index in an existing table.

Examples:

Request syntax with placeholder values


resp = client.create_partition_index({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_index: { # required
    keys: ["NameString"], # required
    index_name: "NameString", # required
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The catalog ID where the table resides.
:database_name (required, String) —
Specifies the name of a database in which you want to create a partition index.
:table_name (required, String) —
Specifies the name of a table in which you want to create a partition index.
:partition_index (required, Types::PartitionIndex) —
Specifies a PartitionIndex structure to create a partition index in an existing table.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4653

def create_partition_index(params = {}, options = {})
  req = build_request(:create_partition_index, params)
  req.send_request(options)
end

#create_registry(params = {}) ⇒ `Types::CreateRegistryResponse`

Creates a new registry which may be used to hold a collection of schemas.

Examples:

Request syntax with placeholder values


resp = client.create_registry({
  registry_name: "SchemaRegistryNameString", # required
  description: "DescriptionString",
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.registry_arn #=> String
resp.registry_name #=> String
resp.description #=> String
resp.tags #=> Hash
resp.tags["TagKey"] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:registry_name (required, String) —
Name of the registry to be created of max length of 255, and may only contain letters, numbers, hyphen, underscore, dollar sign, or hash mark. No whitespace.
:description (String) —
A description of the registry. If description is not provided, there will not be any default value for this.
:tags (Hash<String,String>) —
Amazon Web Services tags that contain a key value pair and may be searched by console, command line, or API.

Returns:

(Types::CreateRegistryResponse) —
Returns a response object which responds to the following methods:
- #registry_arn => String
- #registry_name => String
- #description => String
- #tags => Hash<String,String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4703

def create_registry(params = {}, options = {})
  req = build_request(:create_registry, params)
  req.send_request(options)
end

#create_schema(params = {}) ⇒ `Types::CreateSchemaResponse`

Creates a new schema set and registers the schema definition. Returns an error if the schema set already exists without actually registering the version.

When the schema set is created, a version checkpoint will be set to the first version. Compatibility mode "DISABLED" restricts any additional schema versions from being added after the first schema version. For all other compatibility modes, validation of compatibility settings will be applied only from the second version onwards when the RegisterSchemaVersion API is used.

When this API is called without a RegistryId, this will create an entry for a "default-registry" in the registry database tables, if it is not already present.

Examples:

Request syntax with placeholder values


resp = client.create_schema({
  registry_id: {
    registry_name: "SchemaRegistryNameString",
    registry_arn: "GlueResourceArn",
  },
  schema_name: "SchemaRegistryNameString", # required
  data_format: "AVRO", # required, accepts AVRO, JSON, PROTOBUF
  compatibility: "NONE", # accepts NONE, DISABLED, BACKWARD, BACKWARD_ALL, FORWARD, FORWARD_ALL, FULL, FULL_ALL
  description: "DescriptionString",
  tags: {
    "TagKey" => "TagValue",
  },
  schema_definition: "SchemaDefinitionString",
})

Response structure


resp.registry_name #=> String
resp.registry_arn #=> String
resp.schema_name #=> String
resp.schema_arn #=> String
resp.description #=> String
resp.data_format #=> String, one of "AVRO", "JSON", "PROTOBUF"
resp.compatibility #=> String, one of "NONE", "DISABLED", "BACKWARD", "BACKWARD_ALL", "FORWARD", "FORWARD_ALL", "FULL", "FULL_ALL"
resp.schema_checkpoint #=> Integer
resp.latest_schema_version #=> Integer
resp.next_schema_version #=> Integer
resp.schema_status #=> String, one of "AVAILABLE", "PENDING", "DELETING"
resp.tags #=> Hash
resp.tags["TagKey"] #=> String
resp.schema_version_id #=> String
resp.schema_version_status #=> String, one of "AVAILABLE", "PENDING", "FAILURE", "DELETING"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:registry_id (Types::RegistryId) —
This is a wrapper shape to contain the registry identity fields. If this is not provided, the default registry will be used. The ARN format for the same will be: arn:aws:glue:us-east-2:<customer id>:registry/default-registry:random-5-letter-id.
:schema_name (required, String) —
Name of the schema to be created of max length of 255, and may only contain letters, numbers, hyphen, underscore, dollar sign, or hash mark. No whitespace.
:data_format (required, String) —
The data format of the schema definition. Currently AVRO, JSON and PROTOBUF are supported.
:compatibility (String) —
The compatibility mode of the schema. The possible values are:
- NONE: No compatibility mode applies. You can use this choice in development scenarios or if you do not know the compatibility mode that you want to apply to schemas. Any new version added will be accepted without undergoing a compatibility check.
- DISABLED: This compatibility choice prevents versioning for a particular schema. You can use this choice to prevent future versioning of a schema.
- BACKWARD: This compatibility choice is recommended as it allows data receivers to read both the current and one previous schema version. This means that for instance, a new schema version cannot drop data fields or change the type of these fields, so they can't be read by readers using the previous version.
- BACKWARD_ALL: This compatibility choice allows data receivers to read both the current and all previous schema versions. You can use this choice when you need to delete fields or add optional fields, and check compatibility against all previous schema versions.
- FORWARD: This compatibility choice allows data receivers to read both the current and one next schema version, but not necessarily later versions. You can use this choice when you need to add fields or delete optional fields, but only check compatibility against the last schema version.
- FORWARD_ALL: This compatibility choice allows data receivers to read written by producers of any new registered schema. You can use this choice when you need to add fields or delete optional fields, and check compatibility against all previous schema versions.
- FULL: This compatibility choice allows data receivers to read data written by producers using the previous or next version of the schema, but not necessarily earlier or later versions. You can use this choice when you need to add or remove optional fields, but only check compatibility against the last schema version.
- FULL_ALL: This compatibility choice allows data receivers to read data written by producers using all previous schema versions. You can use this choice when you need to add or remove optional fields, and check compatibility against all previous schema versions.
:description (String) —
An optional description of the schema. If description is not provided, there will not be any automatic default value for this.
:tags (Hash<String,String>) —
Amazon Web Services tags that contain a key value pair and may be searched by console, command line, or API. If specified, follows the Amazon Web Services tags-on-create pattern.
:schema_definition (String) —
The schema definition using the DataFormat setting for SchemaName.

Returns:

(Types::CreateSchemaResponse) —
Returns a response object which responds to the following methods:
- #registry_name => String
- #registry_arn => String
- #schema_name => String
- #schema_arn => String
- #description => String
- #data_format => String
- #compatibility => String
- #schema_checkpoint => Integer
- #latest_schema_version => Integer
- #next_schema_version => Integer
- #schema_status => String
- #tags => Hash<String,String>
- #schema_version_id => String
- #schema_version_status => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4851

def create_schema(params = {}, options = {})
  req = build_request(:create_schema, params)
  req.send_request(options)
end

#create_script(params = {}) ⇒ `Types::CreateScriptResponse`

Transforms a directed acyclic graph (DAG) into code.

Examples:

Request syntax with placeholder values


resp = client.create_script({
  dag_nodes: [
    {
      id: "CodeGenIdentifier", # required
      node_type: "CodeGenNodeType", # required
      args: [ # required
        {
          name: "CodeGenArgName", # required
          value: "CodeGenArgValue", # required
          param: false,
        },
      ],
      line_number: 1,
    },
  ],
  dag_edges: [
    {
      source: "CodeGenIdentifier", # required
      target: "CodeGenIdentifier", # required
      target_parameter: "CodeGenArgName",
    },
  ],
  language: "PYTHON", # accepts PYTHON, SCALA
})

Response structure


resp.python_script #=> String
resp.scala_code #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:dag_nodes (Array<Types::CodeGenNode>) —
A list of the nodes in the DAG.
:dag_edges (Array<Types::CodeGenEdge>) —
A list of the edges in the DAG.
:language (String) —
The programming language of the resulting code from the DAG.

Returns:

(Types::CreateScriptResponse) —
Returns a response object which responds to the following methods:
- #python_script => String
- #scala_code => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4908

def create_script(params = {}, options = {})
  req = build_request(:create_script, params)
  req.send_request(options)
end

#create_security_configuration(params = {}) ⇒ `Types::CreateSecurityConfigurationResponse`

Creates a new security configuration. A security configuration is a set of security properties that can be used by Glue. You can use a security configuration to encrypt data at rest. For information about using security configurations in Glue, see Encrypting Data Written by Crawlers, Jobs, and Development Endpoints.

Examples:

Request syntax with placeholder values


resp = client.create_security_configuration({
  name: "NameString", # required
  encryption_configuration: { # required
    s3_encryption: [
      {
        s3_encryption_mode: "DISABLED", # accepts DISABLED, SSE-KMS, SSE-S3
        kms_key_arn: "KmsKeyArn",
      },
    ],
    cloud_watch_encryption: {
      cloud_watch_encryption_mode: "DISABLED", # accepts DISABLED, SSE-KMS
      kms_key_arn: "KmsKeyArn",
    },
    job_bookmarks_encryption: {
      job_bookmarks_encryption_mode: "DISABLED", # accepts DISABLED, CSE-KMS
      kms_key_arn: "KmsKeyArn",
    },
    data_quality_encryption: {
      data_quality_encryption_mode: "DISABLED", # accepts DISABLED, SSE-KMS
      kms_key_arn: "KmsKeyArn",
    },
  },
})

Response structure


resp.name #=> String
resp.created_timestamp #=> Time

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name for the new security configuration.
:encryption_configuration (required, Types::EncryptionConfiguration) —
The encryption configuration for the new security configuration.

Returns:

(Types::CreateSecurityConfigurationResponse) —
Returns a response object which responds to the following methods:
- #name => String
- #created_timestamp => Time

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 4969

def create_security_configuration(params = {}, options = {})
  req = build_request(:create_security_configuration, params)
  req.send_request(options)
end

#create_session(params = {}) ⇒ `Types::CreateSessionResponse`

Creates a new session.

Examples:

Request syntax with placeholder values


resp = client.create_session({
  id: "NameString", # required
  description: "DescriptionString",
  role: "OrchestrationRoleArn", # required
  command: { # required
    name: "NameString",
    python_version: "PythonVersionString",
  },
  timeout: 1,
  idle_timeout: 1,
  default_arguments: {
    "OrchestrationNameString" => "OrchestrationArgumentsValue",
  },
  connections: {
    connections: ["ConnectionString"],
  },
  max_capacity: 1.0,
  number_of_workers: 1,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X, G.025X, G.4X, G.8X, Z.2X
  security_configuration: "NameString",
  glue_version: "GlueVersionString",
  tags: {
    "TagKey" => "TagValue",
  },
  request_origin: "OrchestrationNameString",
})

Response structure


resp.session.id #=> String
resp.session.created_on #=> Time
resp.session.status #=> String, one of "PROVISIONING", "READY", "FAILED", "TIMEOUT", "STOPPING", "STOPPED"
resp.session.error_message #=> String
resp.session.description #=> String
resp.session.role #=> String
resp.session.command.name #=> String
resp.session.command.python_version #=> String
resp.session.default_arguments #=> Hash
resp.session.default_arguments["OrchestrationNameString"] #=> String
resp.session.connections.connections #=> Array
resp.session.connections.connections[0] #=> String
resp.session.progress #=> Float
resp.session.max_capacity #=> Float
resp.session.security_configuration #=> String
resp.session.glue_version #=> String
resp.session.number_of_workers #=> Integer
resp.session.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.session.completed_on #=> Time
resp.session.execution_time #=> Float
resp.session.dpu_seconds #=> Float
resp.session.idle_timeout #=> Integer
resp.session.profile_name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:id (required, String) —
The ID of the session request.
:description (String) —
The description of the session.
:role (required, String) —
The IAM Role ARN
:command (required, Types::SessionCommand) —
The SessionCommand that runs the job.
:timeout (Integer) —
The number of minutes before session times out. Default for Spark ETL jobs is 48 hours (2880 minutes). Consult the documentation for other job types.
:idle_timeout (Integer) —
The number of minutes when idle before session times out. Default for Spark ETL jobs is value of Timeout. Consult the documentation for other job types.
:default_arguments (Hash<String,String>) —
A map array of key-value pairs. Max is 75 pairs.
:connections (Types::ConnectionsList) —
The number of connections to use for the session.
:max_capacity (Float) —
The number of Glue data processing units (DPUs) that can be allocated when the job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB memory.
:number_of_workers (Integer) —
The number of workers of a defined WorkerType to use for the session.
:worker_type (String) —
The type of predefined worker that is allocated when a job runs. Accepts a value of G.1X, G.2X, G.4X, or G.8X for Spark jobs. Accepts the value Z.2X for Ray notebooks.
- For the G.1X worker type, each worker maps to 1 DPU (4 vCPUs, 16 GB of memory) with 94GB disk, and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
- For the G.2X worker type, each worker maps to 2 DPU (8 vCPUs, 32 GB of memory) with 138GB disk, and provides 1 executor per worker. We recommend this worker type for workloads such as data transforms, joins, and queries, to offers a scalable and cost effective way to run most jobs.
- For the G.4X worker type, each worker maps to 4 DPU (16 vCPUs, 64 GB of memory) with 256GB disk, and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs in the following Amazon Web Services Regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Singapore), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada (Central), Europe (Frankfurt), Europe (Ireland), and Europe (Stockholm).
- For the G.8X worker type, each worker maps to 8 DPU (32 vCPUs, 128 GB of memory) with 512GB disk, and provides 1 executor per worker. We recommend this worker type for jobs whose workloads contain your most demanding transforms, aggregations, joins, and queries. This worker type is available only for Glue version 3.0 or later Spark ETL jobs, in the same Amazon Web Services Regions as supported for the G.4X worker type.
- For the Z.2X worker type, each worker maps to 2 M-DPU (8vCPUs, 64 GB of memory) with 128 GB disk, and provides up to 8 Ray workers based on the autoscaler.
:security_configuration (String) —
The name of the SecurityConfiguration structure to be used with the session
:glue_version (String) —
The Glue version determines the versions of Apache Spark and Python that Glue supports. The GlueVersion must be greater than 2.0.
:tags (Hash<String,String>) —
The map of key value pairs (tags) belonging to the session.
:request_origin (String) —
The origin of the request.

Returns:

(Types::CreateSessionResponse) —
Returns a response object which responds to the following methods:
- #session => Types::Session

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5130

def create_session(params = {}, options = {})
  req = build_request(:create_session, params)
  req.send_request(options)
end

#create_table(params = {}) ⇒ `Struct`

Creates a new table definition in the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.create_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    owner: "NameString",
    last_access_time: Time.now,
    last_analyzed_time: Time.now,
    retention: 1,
    storage_descriptor: {
      columns: [
        {
          name: "NameString", # required
          type: "ColumnTypeString",
          comment: "CommentString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
      ],
      location: "LocationString",
      additional_locations: ["LocationString"],
      input_format: "FormatString",
      output_format: "FormatString",
      compressed: false,
      number_of_buckets: 1,
      serde_info: {
        name: "NameString",
        serialization_library: "NameString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
      bucket_columns: ["NameString"],
      sort_columns: [
        {
          column: "NameString", # required
          sort_order: 1, # required
        },
      ],
      parameters: {
        "KeyString" => "ParametersMapValue",
      },
      skewed_info: {
        skewed_column_names: ["NameString"],
        skewed_column_values: ["ColumnValuesString"],
        skewed_column_value_location_maps: {
          "ColumnValuesString" => "ColumnValuesString",
        },
      },
      stored_as_sub_directories: false,
      schema_reference: {
        schema_id: {
          schema_arn: "GlueResourceArn",
          schema_name: "SchemaRegistryNameString",
          registry_name: "SchemaRegistryNameString",
        },
        schema_version_id: "SchemaVersionIdString",
        schema_version_number: 1,
      },
    },
    partition_keys: [
      {
        name: "NameString", # required
        type: "ColumnTypeString",
        comment: "CommentString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
    ],
    view_original_text: "ViewTextString",
    view_expanded_text: "ViewTextString",
    table_type: "TableTypeString",
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    target_table: {
      catalog_id: "CatalogIdString",
      database_name: "NameString",
      name: "NameString",
      region: "NameString",
    },
    view_definition: {
      is_protected: false,
      definer: "ArnString",
      representations: [
        {
          dialect: "REDSHIFT", # accepts REDSHIFT, ATHENA, SPARK
          dialect_version: "ViewDialectVersionString",
          view_original_text: "ViewTextString",
          validation_connection: "NameString",
          view_expanded_text: "ViewTextString",
        },
      ],
      sub_objects: ["ArnString"],
    },
  },
  partition_indexes: [
    {
      keys: ["NameString"], # required
      index_name: "NameString", # required
    },
  ],
  transaction_id: "TransactionIdString",
  open_table_format_input: {
    iceberg_input: {
      metadata_operation: "CREATE", # required, accepts CREATE
      version: "VersionString",
    },
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which to create the Table. If none is supplied, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The catalog database in which to create the new table. For Hive compatibility, this name is entirely lowercase.
:table_input (required, Types::TableInput) —
The TableInput object that defines the metadata table to create in the catalog.
:partition_indexes (Array<Types::PartitionIndex>) —
A list of partition indexes, PartitionIndex structures, to create in the table.
:transaction_id (String) —
The ID of the transaction.
:open_table_format_input (Types::OpenTableFormatInput) —
Specifies an OpenTableFormatInput structure when creating an open format table.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5282

def create_table(params = {}, options = {})
  req = build_request(:create_table, params)
  req.send_request(options)
end

#create_table_optimizer(params = {}) ⇒ `Struct`

Creates a new table optimizer for a specific function.

Examples:

Request syntax with placeholder values


resp = client.create_table_optimizer({
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  type: "compaction", # required, accepts compaction, retention, orphan_file_deletion
  table_optimizer_configuration: { # required
    role_arn: "ArnString",
    enabled: false,
    vpc_configuration: {
      glue_connection_name: "glueConnectionNameString",
    },
    compaction_configuration: {
      iceberg_configuration: {
        strategy: "binpack", # accepts binpack, sort, z-order
      },
    },
    retention_configuration: {
      iceberg_configuration: {
        snapshot_retention_period_in_days: 1,
        number_of_snapshots_to_retain: 1,
        clean_expired_files: false,
      },
    },
    orphan_file_deletion_configuration: {
      iceberg_configuration: {
        orphan_file_retention_period_in_days: 1,
        location: "MessageString",
      },
    },
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (required, String) —
The Catalog ID of the table.
:database_name (required, String) —
The name of the database in the catalog in which the table resides.
:table_name (required, String) —
The name of the table.
:type (required, String) —
The type of table optimizer.
:table_optimizer_configuration (required, Types::TableOptimizerConfiguration) —
A TableOptimizerConfiguration object representing the configuration of a table optimizer.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5345

def create_table_optimizer(params = {}, options = {})
  req = build_request(:create_table_optimizer, params)
  req.send_request(options)
end

#create_trigger(params = {}) ⇒ `Types::CreateTriggerResponse`

Creates a new trigger.

Job arguments may be logged. Do not pass plaintext secrets as arguments. Retrieve secrets from a Glue Connection, Amazon Web Services Secrets Manager or other secret management mechanism if you intend to keep them within the Job.

Examples:

Request syntax with placeholder values


resp = client.create_trigger({
  name: "NameString", # required
  workflow_name: "NameString",
  type: "SCHEDULED", # required, accepts SCHEDULED, CONDITIONAL, ON_DEMAND, EVENT
  schedule: "GenericString",
  predicate: {
    logical: "AND", # accepts AND, ANY
    conditions: [
      {
        logical_operator: "EQUALS", # accepts EQUALS
        job_name: "NameString",
        state: "STARTING", # accepts STARTING, RUNNING, STOPPING, STOPPED, SUCCEEDED, FAILED, TIMEOUT, ERROR, WAITING, EXPIRED
        crawler_name: "NameString",
        crawl_state: "RUNNING", # accepts RUNNING, CANCELLING, CANCELLED, SUCCEEDED, FAILED, ERROR
      },
    ],
  },
  actions: [ # required
    {
      job_name: "NameString",
      arguments: {
        "GenericString" => "GenericString",
      },
      timeout: 1,
      security_configuration: "NameString",
      notification_property: {
        notify_delay_after: 1,
      },
      crawler_name: "NameString",
    },
  ],
  description: "DescriptionString",
  start_on_creation: false,
  tags: {
    "TagKey" => "TagValue",
  },
  event_batching_condition: {
    batch_size: 1, # required
    batch_window: 1,
  },
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the trigger.
:workflow_name (String) —
The name of the workflow associated with the trigger.
:type (required, String) —
The type of the new trigger.
:schedule (String) —
A cron expression used to specify the schedule (see Time-Based Schedules for Jobs and Crawlers. For example, to run something every day at 12:15 UTC, you would specify: cron(15 12 * * ? *).

This field is required when the trigger type is SCHEDULED.
:predicate (Types::Predicate) —
A predicate to specify when the new trigger should fire.

This field is required when the trigger type is CONDITIONAL.
:actions (required, Array<Types::Action>) —
The actions initiated by this trigger when it fires.
:description (String) —
A description of the new trigger.
:start_on_creation (Boolean) —
Set to true to start SCHEDULED and CONDITIONAL triggers when created. True is not supported for ON_DEMAND triggers.
:tags (Hash<String,String>) —
The tags to use with this trigger. You may use tags to limit access to the trigger. For more information about tags in Glue, see Amazon Web Services Tags in Glue in the developer guide.
:event_batching_condition (Types::EventBatchingCondition) —
Batch condition that must be met (specified number of events received or batch time window expired) before EventBridge event trigger fires.

Returns:

(Types::CreateTriggerResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5461

def create_trigger(params = {}, options = {})
  req = build_request(:create_trigger, params)
  req.send_request(options)
end

#create_usage_profile(params = {}) ⇒ `Types::CreateUsageProfileResponse`

Creates an Glue usage profile.

Examples:

Request syntax with placeholder values


resp = client.create_usage_profile({
  name: "NameString", # required
  description: "DescriptionString",
  configuration: { # required
    session_configuration: {
      "NameString" => {
        default_value: "ConfigValueString",
        allowed_values: ["ConfigValueString"],
        min_value: "ConfigValueString",
        max_value: "ConfigValueString",
      },
    },
    job_configuration: {
      "NameString" => {
        default_value: "ConfigValueString",
        allowed_values: ["ConfigValueString"],
        min_value: "ConfigValueString",
        max_value: "ConfigValueString",
      },
    },
  },
  tags: {
    "TagKey" => "TagValue",
  },
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the usage profile.
:description (String) —
A description of the usage profile.
:configuration (required, Types::ProfileConfiguration) —
A ProfileConfiguration object specifying the job and session values for the profile.
:tags (Hash<String,String>) —
A list of tags applied to the usage profile.

Returns:

(Types::CreateUsageProfileResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5521

def create_usage_profile(params = {}, options = {})
  req = build_request(:create_usage_profile, params)
  req.send_request(options)
end

#create_user_defined_function(params = {}) ⇒ `Struct`

Creates a new function definition in the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.create_user_defined_function({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  function_input: { # required
    function_name: "NameString",
    class_name: "NameString",
    owner_name: "NameString",
    owner_type: "USER", # accepts USER, ROLE, GROUP
    resource_uris: [
      {
        resource_type: "JAR", # accepts JAR, FILE, ARCHIVE
        uri: "URI",
      },
    ],
  },
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which to create the function. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database in which to create the function.
:function_input (required, Types::UserDefinedFunctionInput) —
A FunctionInput object that defines the function to create in the Data Catalog.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5564

def create_user_defined_function(params = {}, options = {})
  req = build_request(:create_user_defined_function, params)
  req.send_request(options)
end

#create_workflow(params = {}) ⇒ `Types::CreateWorkflowResponse`

Creates a new workflow.

Examples:

Request syntax with placeholder values


resp = client.create_workflow({
  name: "NameString", # required
  description: "WorkflowDescriptionString",
  default_run_properties: {
    "IdString" => "GenericString",
  },
  tags: {
    "TagKey" => "TagValue",
  },
  max_concurrent_runs: 1,
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name to be assigned to the workflow. It should be unique within your account.
:description (String) —
A description of the workflow.
:default_run_properties (Hash<String,String>) —
A collection of properties to be used as part of each execution of the workflow.

Run properties may be logged. Do not pass plaintext secrets as properties. Retrieve secrets from a Glue Connection, Amazon Web Services Secrets Manager or other secret management mechanism if you intend to use them within the workflow run.
:tags (Hash<String,String>) —
The tags to be used with this workflow.
:max_concurrent_runs (Integer) —
You can use this parameter to prevent unwanted multiple updates to data, to control costs, or in some cases, to prevent exceeding the maximum number of concurrent runs of any of the component jobs. If you leave this parameter blank, there is no limit to the number of concurrent workflow runs.

Returns:

(Types::CreateWorkflowResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5623

def create_workflow(params = {}, options = {})
  req = build_request(:create_workflow, params)
  req.send_request(options)
end

#delete_blueprint(params = {}) ⇒ `Types::DeleteBlueprintResponse`

Deletes an existing blueprint.

Examples:

Request syntax with placeholder values


resp = client.delete_blueprint({
  name: "NameString", # required
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the blueprint to delete.

Returns:

(Types::DeleteBlueprintResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5651

def delete_blueprint(params = {}, options = {})
  req = build_request(:delete_blueprint, params)
  req.send_request(options)
end

#delete_catalog(params = {}) ⇒ `Struct`

Removes the specified catalog from the Glue Data Catalog.

After completing this operation, you no longer have access to the databases, tables (and all table versions and partitions that might belong to the tables) and the user-defined functions in the deleted catalog. Glue deletes these "orphaned" resources asynchronously in a timely manner, at the discretion of the service.

To ensure the immediate deletion of all related resources before calling the DeleteCatalog operation, use DeleteTableVersion (or BatchDeleteTableVersion), DeletePartition (or BatchDeletePartition), DeleteTable (or BatchDeleteTable), DeleteUserDefinedFunction and DeleteDatabase to delete any resources that belong to the catalog.

Examples:

Request syntax with placeholder values


resp = client.delete_catalog({
  catalog_id: "CatalogIdString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (required, String) —
The ID of the catalog.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5686

def delete_catalog(params = {}, options = {})
  req = build_request(:delete_catalog, params)
  req.send_request(options)
end

#delete_classifier(params = {}) ⇒ `Struct`

Removes a classifier from the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.delete_classifier({
  name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
Name of the classifier to remove.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5708

def delete_classifier(params = {}, options = {})
  req = build_request(:delete_classifier, params)
  req.send_request(options)
end

#delete_column_statistics_for_partition(params = {}) ⇒ `Struct`

Delete the partition column statistics of a column.

The Identity and Access Management (IAM) permission required for this operation is DeletePartition.

Examples:

Request syntax with placeholder values


resp = client.delete_column_statistics_for_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
  column_name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the partitions reside.
:table_name (required, String) —
The name of the partitions' table.
:partition_values (required, Array<String>) —
A list of partition values identifying the partition.
:column_name (required, String) —
Name of the column.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5751

def delete_column_statistics_for_partition(params = {}, options = {})
  req = build_request(:delete_column_statistics_for_partition, params)
  req.send_request(options)
end

#delete_column_statistics_for_table(params = {}) ⇒ `Struct`

Retrieves table statistics of columns.

The Identity and Access Management (IAM) permission required for this operation is DeleteTable.

Examples:

Request syntax with placeholder values


resp = client.delete_column_statistics_for_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  column_name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the partitions reside.
:table_name (required, String) —
The name of the partitions' table.
:column_name (required, String) —
The name of the column.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5790

def delete_column_statistics_for_table(params = {}, options = {})
  req = build_request(:delete_column_statistics_for_table, params)
  req.send_request(options)
end

#delete_column_statistics_task_settings(params = {}) ⇒ `Struct`

Deletes settings for a column statistics task.

Examples:

Request syntax with placeholder values


resp = client.delete_column_statistics_task_settings({
  database_name: "NameString", # required
  table_name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:database_name (required, String) —
The name of the database where the table resides.
:table_name (required, String) —
The name of the table for which to delete column statistics.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5816

def delete_column_statistics_task_settings(params = {}, options = {})
  req = build_request(:delete_column_statistics_task_settings, params)
  req.send_request(options)
end

#delete_connection(params = {}) ⇒ `Struct`

Deletes a connection from the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.delete_connection({
  catalog_id: "CatalogIdString",
  connection_name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which the connection resides. If none is provided, the Amazon Web Services account ID is used by default.
:connection_name (required, String) —
The name of the connection to delete.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5843

def delete_connection(params = {}, options = {})
  req = build_request(:delete_connection, params)
  req.send_request(options)
end

#delete_crawler(params = {}) ⇒ `Struct`

Removes a specified crawler from the Glue Data Catalog, unless the crawler state is RUNNING.

Examples:

Request syntax with placeholder values


resp = client.delete_crawler({
  name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the crawler to remove.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5866

def delete_crawler(params = {}, options = {})
  req = build_request(:delete_crawler, params)
  req.send_request(options)
end

#delete_custom_entity_type(params = {}) ⇒ `Types::DeleteCustomEntityTypeResponse`

Deletes a custom pattern by specifying its name.

Examples:

Request syntax with placeholder values


resp = client.delete_custom_entity_type({
  name: "NameString", # required
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the custom pattern that you want to delete.

Returns:

(Types::DeleteCustomEntityTypeResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5894

def delete_custom_entity_type(params = {}, options = {})
  req = build_request(:delete_custom_entity_type, params)
  req.send_request(options)
end

#delete_data_quality_ruleset(params = {}) ⇒ `Struct`

Deletes a data quality ruleset.

Examples:

Request syntax with placeholder values


resp = client.delete_data_quality_ruleset({
  name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
A name for the data quality ruleset.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5916

def delete_data_quality_ruleset(params = {}, options = {})
  req = build_request(:delete_data_quality_ruleset, params)
  req.send_request(options)
end

#delete_database(params = {}) ⇒ `Struct`

Removes a specified database from a Data Catalog.

After completing this operation, you no longer have access to the tables (and all table versions and partitions that might belong to the tables) and the user-defined functions in the deleted database. Glue deletes these "orphaned" resources asynchronously in a timely manner, at the discretion of the service.

To ensure the immediate deletion of all related resources, before calling DeleteDatabase, use DeleteTableVersion or BatchDeleteTableVersion, DeletePartition or BatchDeletePartition, DeleteUserDefinedFunction, and DeleteTable or BatchDeleteTable, to delete any resources that belong to the database.

Examples:

Request syntax with placeholder values


resp = client.delete_database({
  catalog_id: "CatalogIdString",
  name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which the database resides. If none is provided, the Amazon Web Services account ID is used by default.
:name (required, String) —
The name of the database to delete. For Hive compatibility, this must be all lowercase.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5959

def delete_database(params = {}, options = {})
  req = build_request(:delete_database, params)
  req.send_request(options)
end

#delete_dev_endpoint(params = {}) ⇒ `Struct`

Deletes a specified development endpoint.

Examples:

Request syntax with placeholder values


resp = client.delete_dev_endpoint({
  endpoint_name: "GenericString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:endpoint_name (required, String) —
The name of the DevEndpoint.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 5981

def delete_dev_endpoint(params = {}, options = {})
  req = build_request(:delete_dev_endpoint, params)
  req.send_request(options)
end

#delete_integration(params = {}) ⇒ `Types::DeleteIntegrationResponse`

Deletes the specified Zero-ETL integration.

Examples:

Request syntax with placeholder values


resp = client.delete_integration({
  integration_identifier: "String128", # required
})

Response structure


resp.source_arn #=> String
resp.target_arn #=> String
resp.integration_name #=> String
resp.description #=> String
resp.integration_arn #=> String
resp.kms_key_id #=> String
resp.additional_encryption_context #=> Hash
resp.additional_encryption_context["IntegrationString"] #=> String
resp.tags #=> Array
resp.tags[0].key #=> String
resp.tags[0].value #=> String
resp.status #=> String, one of "CREATING", "ACTIVE", "MODIFYING", "FAILED", "DELETING", "SYNCING", "NEEDS_ATTENTION"
resp.create_time #=> Time
resp.errors #=> Array
resp.errors[0].error_code #=> String
resp.errors[0].error_message #=> String
resp.data_filter #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:integration_identifier (required, String) —
The Amazon Resource Name (ARN) for the integration.

Returns:

(Types::DeleteIntegrationResponse) —
Returns a response object which responds to the following methods:
- #source_arn => String
- #target_arn => String
- #integration_name => String
- #description => String
- #integration_arn => String
- #kms_key_id => String
- #additional_encryption_context => Hash<String,String>
- #tags => Array<Types::Tag>
- #status => String
- #create_time => Time
- #errors => Array<Types::IntegrationError>
- #data_filter => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6036

def delete_integration(params = {}, options = {})
  req = build_request(:delete_integration, params)
  req.send_request(options)
end

#delete_integration_table_properties(params = {}) ⇒ `Struct`

Deletes the table properties that have been created for the tables that need to be replicated.

Examples:

Request syntax with placeholder values


resp = client.delete_integration_table_properties({
  resource_arn: "String128", # required
  table_name: "String128", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:resource_arn (required, String) —
The connection ARN of the source, or the database ARN of the target.
:table_name (required, String) —
The name of the table to be replicated.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6063

def delete_integration_table_properties(params = {}, options = {})
  req = build_request(:delete_integration_table_properties, params)
  req.send_request(options)
end

#delete_job(params = {}) ⇒ `Types::DeleteJobResponse`

Deletes a specified job definition. If the job definition is not found, no exception is thrown.

Examples:

Request syntax with placeholder values


resp = client.delete_job({
  job_name: "NameString", # required
})

Response structure


resp.job_name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:job_name (required, String) —
The name of the job definition to delete.

Returns:

(Types::DeleteJobResponse) —
Returns a response object which responds to the following methods:
- #job_name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6092

def delete_job(params = {}, options = {})
  req = build_request(:delete_job, params)
  req.send_request(options)
end

#delete_ml_transform(params = {}) ⇒ `Types::DeleteMLTransformResponse`

Deletes an Glue machine learning transform. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by Glue. If you no longer need a transform, you can delete it by calling DeleteMLTransforms. However, any Glue jobs that still reference the deleted transform will no longer succeed.

Examples:

Request syntax with placeholder values


resp = client.delete_ml_transform({
  transform_id: "HashString", # required
})

Response structure


resp.transform_id #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:transform_id (required, String) —
The unique identifier of the transform to delete.

Returns:

(Types::DeleteMLTransformResponse) —
Returns a response object which responds to the following methods:
- #transform_id => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6126

def delete_ml_transform(params = {}, options = {})
  req = build_request(:delete_ml_transform, params)
  req.send_request(options)
end

#delete_partition(params = {}) ⇒ `Struct`

Deletes a specified partition.

Examples:

Request syntax with placeholder values


resp = client.delete_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partition to be deleted resides. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database in which the table in question resides.
:table_name (required, String) —
The name of the table that contains the partition to be deleted.
:partition_values (required, Array<String>) —
The values that define the partition.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6163

def delete_partition(params = {}, options = {})
  req = build_request(:delete_partition, params)
  req.send_request(options)
end

#delete_partition_index(params = {}) ⇒ `Struct`

Deletes a specified partition index from an existing table.

Examples:

Request syntax with placeholder values


resp = client.delete_partition_index({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  index_name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The catalog ID where the table resides.
:database_name (required, String) —
Specifies the name of a database from which you want to delete a partition index.
:table_name (required, String) —
Specifies the name of a table from which you want to delete a partition index.
:index_name (required, String) —
The name of the partition index to be deleted.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6199

def delete_partition_index(params = {}, options = {})
  req = build_request(:delete_partition_index, params)
  req.send_request(options)
end

#delete_registry(params = {}) ⇒ `Types::DeleteRegistryResponse`

Delete the entire registry including schema and all of its versions. To get the status of the delete operation, you can call the GetRegistry API after the asynchronous call. Deleting a registry will deactivate all online operations for the registry such as the UpdateRegistry, CreateSchema, UpdateSchema, and RegisterSchemaVersion APIs.

Examples:

Request syntax with placeholder values


resp = client.delete_registry({
  registry_id: { # required
    registry_name: "SchemaRegistryNameString",
    registry_arn: "GlueResourceArn",
  },
})

Response structure


resp.registry_name #=> String
resp.registry_arn #=> String
resp.status #=> String, one of "AVAILABLE", "DELETING"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:registry_id (required, Types::RegistryId) —
This is a wrapper structure that may contain the registry name and Amazon Resource Name (ARN).

Returns:

(Types::DeleteRegistryResponse) —
Returns a response object which responds to the following methods:
- #registry_name => String
- #registry_arn => String
- #status => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6240

def delete_registry(params = {}, options = {})
  req = build_request(:delete_registry, params)
  req.send_request(options)
end

#delete_resource_policy(params = {}) ⇒ `Struct`

Deletes a specified policy.

Examples:

Request syntax with placeholder values


resp = client.delete_resource_policy({
  policy_hash_condition: "HashString",
  resource_arn: "GlueResourceArn",
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:policy_hash_condition (String) —
The hash value returned when this policy was set.
:resource_arn (String) —
The ARN of the Glue resource for the resource policy to be deleted.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6266

def delete_resource_policy(params = {}, options = {})
  req = build_request(:delete_resource_policy, params)
  req.send_request(options)
end

#delete_schema(params = {}) ⇒ `Types::DeleteSchemaResponse`

Deletes the entire schema set, including the schema set and all of its versions. To get the status of the delete operation, you can call GetSchema API after the asynchronous call. Deleting a registry will deactivate all online operations for the schema, such as the GetSchemaByDefinition, and RegisterSchemaVersion APIs.

Examples:

Request syntax with placeholder values


resp = client.delete_schema({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
})

Response structure


resp.schema_arn #=> String
resp.schema_name #=> String
resp.status #=> String, one of "AVAILABLE", "PENDING", "DELETING"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:schema_id (required, Types::SchemaId) —
This is a wrapper structure that may contain the schema name and Amazon Resource Name (ARN).

Returns:

(Types::DeleteSchemaResponse) —
Returns a response object which responds to the following methods:
- #schema_arn => String
- #schema_name => String
- #status => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6307

def delete_schema(params = {}, options = {})
  req = build_request(:delete_schema, params)
  req.send_request(options)
end

#delete_schema_versions(params = {}) ⇒ `Types::DeleteSchemaVersionsResponse`

Remove versions from the specified schema. A version number or range may be supplied. If the compatibility mode forbids deleting of a version that is necessary, such as BACKWARDS_FULL, an error is returned. Calling the GetSchemaVersions API after this call will list the status of the deleted versions.

When the range of version numbers contain check pointed version, the API will return a 409 conflict and will not proceed with the deletion. You have to remove the checkpoint first using the DeleteSchemaCheckpoint API before using this API.

You cannot use the DeleteSchemaVersions API to delete the first schema version in the schema set. The first schema version can only be deleted by the DeleteSchema API. This operation will also delete the attached SchemaVersionMetadata under the schema versions. Hard deletes will be enforced on the database.

If the compatibility mode forbids deleting of a version that is necessary, such as BACKWARDS_FULL, an error is returned.

Examples:

Request syntax with placeholder values


resp = client.delete_schema_versions({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  versions: "VersionsString", # required
})

Response structure


resp.schema_version_errors #=> Array
resp.schema_version_errors[0].version_number #=> Integer
resp.schema_version_errors[0].error_details.error_code #=> String
resp.schema_version_errors[0].error_details.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:schema_id (required, Types::SchemaId) —
This is a wrapper structure that may contain the schema name and Amazon Resource Name (ARN).
:versions (required, String) —
A version range may be supplied which may be of the format:
- a single version number, 5
- a range, 5-8 : deletes versions 5, 6, 7, 8

Returns:

(Types::DeleteSchemaVersionsResponse) —
Returns a response object which responds to the following methods:
- #schema_version_errors => Array<Types::SchemaVersionErrorItem>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6369

def delete_schema_versions(params = {}, options = {})
  req = build_request(:delete_schema_versions, params)
  req.send_request(options)
end

#delete_security_configuration(params = {}) ⇒ `Struct`

Deletes a specified security configuration.

Examples:

Request syntax with placeholder values


resp = client.delete_security_configuration({
  name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the security configuration to delete.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6391

def delete_security_configuration(params = {}, options = {})
  req = build_request(:delete_security_configuration, params)
  req.send_request(options)
end

#delete_session(params = {}) ⇒ `Types::DeleteSessionResponse`

Deletes the session.

Examples:

Request syntax with placeholder values


resp = client.delete_session({
  id: "NameString", # required
  request_origin: "OrchestrationNameString",
})

Response structure


resp.id #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:id (required, String) —
The ID of the session to be deleted.
:request_origin (String) —
The name of the origin of the delete session request.

Returns:

(Types::DeleteSessionResponse) —
Returns a response object which responds to the following methods:
- #id => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6423

def delete_session(params = {}, options = {})
  req = build_request(:delete_session, params)
  req.send_request(options)
end

#delete_table(params = {}) ⇒ `Struct`

Removes a table definition from the Data Catalog.

To ensure the immediate deletion of all related resources, before calling DeleteTable, use DeleteTableVersion or BatchDeleteTableVersion, and DeletePartition or BatchDeletePartition, to delete any resources that belong to the table.

Examples:

Request syntax with placeholder values


resp = client.delete_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  name: "NameString", # required
  transaction_id: "TransactionIdString",
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the table resides. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database in which the table resides. For Hive compatibility, this name is entirely lowercase.
:name (required, String) —
The name of the table to be deleted. For Hive compatibility, this name is entirely lowercase.
:transaction_id (String) —
The transaction ID at which to delete the table contents.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6473

def delete_table(params = {}, options = {})
  req = build_request(:delete_table, params)
  req.send_request(options)
end

#delete_table_optimizer(params = {}) ⇒ `Struct`

Deletes an optimizer and all associated metadata for a table. The optimization will no longer be performed on the table.

Examples:

Request syntax with placeholder values


resp = client.delete_table_optimizer({
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  type: "compaction", # required, accepts compaction, retention, orphan_file_deletion
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (required, String) —
The Catalog ID of the table.
:database_name (required, String) —
The name of the database in the catalog in which the table resides.
:table_name (required, String) —
The name of the table.
:type (required, String) —
The type of table optimizer.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6508

def delete_table_optimizer(params = {}, options = {})
  req = build_request(:delete_table_optimizer, params)
  req.send_request(options)
end

#delete_table_version(params = {}) ⇒ `Struct`

Deletes a specified version of a table.

Examples:

Request syntax with placeholder values


resp = client.delete_table_version({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  version_id: "VersionString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.
:table_name (required, String) —
The name of the table. For Hive compatibility, this name is entirely lowercase.
:version_id (required, String) —
The ID of the table version to be deleted. A VersionID is a string representation of an integer. Each version is incremented by 1.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6546

def delete_table_version(params = {}, options = {})
  req = build_request(:delete_table_version, params)
  req.send_request(options)
end

#delete_trigger(params = {}) ⇒ `Types::DeleteTriggerResponse`

Deletes a specified trigger. If the trigger is not found, no exception is thrown.

Examples:

Request syntax with placeholder values


resp = client.delete_trigger({
  name: "NameString", # required
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the trigger to delete.

Returns:

(Types::DeleteTriggerResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6575

def delete_trigger(params = {}, options = {})
  req = build_request(:delete_trigger, params)
  req.send_request(options)
end

#delete_usage_profile(params = {}) ⇒ `Struct`

Deletes the Glue specified usage profile.

Examples:

Request syntax with placeholder values


resp = client.delete_usage_profile({
  name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the usage profile to delete.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6597

def delete_usage_profile(params = {}, options = {})
  req = build_request(:delete_usage_profile, params)
  req.send_request(options)
end

#delete_user_defined_function(params = {}) ⇒ `Struct`

Deletes an existing function definition from the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.delete_user_defined_function({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  function_name: "NameString", # required
})

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the function to be deleted is located. If none is supplied, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the function is located.
:function_name (required, String) —
The name of the function definition to be deleted.

Returns:

(Struct) —
Returns an empty response.

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6629

def delete_user_defined_function(params = {}, options = {})
  req = build_request(:delete_user_defined_function, params)
  req.send_request(options)
end

#delete_workflow(params = {}) ⇒ `Types::DeleteWorkflowResponse`

Deletes a workflow.

Examples:

Request syntax with placeholder values


resp = client.delete_workflow({
  name: "NameString", # required
})

Response structure


resp.name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
Name of the workflow to be deleted.

Returns:

(Types::DeleteWorkflowResponse) —
Returns a response object which responds to the following methods:
- #name => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6657

def delete_workflow(params = {}, options = {})
  req = build_request(:delete_workflow, params)
  req.send_request(options)
end

#describe_connection_type(params = {}) ⇒ `Types::DescribeConnectionTypeResponse`

The DescribeConnectionType API provides full details of the supported options for a given connection type in Glue.

Examples:

Request syntax with placeholder values


resp = client.describe_connection_type({
  connection_type: "NameString", # required
})

Response structure


resp.connection_type #=> String
resp.description #=> String
resp.capabilities.supported_authentication_types #=> Array
resp.capabilities.supported_authentication_types[0] #=> String, one of "BASIC", "OAUTH2", "CUSTOM", "IAM"
resp.capabilities.supported_data_operations #=> Array
resp.capabilities.supported_data_operations[0] #=> String, one of "READ", "WRITE"
resp.capabilities.supported_compute_environments #=> Array
resp.capabilities.supported_compute_environments[0] #=> String, one of "SPARK", "ATHENA", "PYTHON"
resp.connection_properties #=> Hash
resp.connection_properties["PropertyName"].name #=> String
resp.connection_properties["PropertyName"].description #=> String
resp.connection_properties["PropertyName"].required #=> Boolean
resp.connection_properties["PropertyName"].default_value #=> String
resp.connection_properties["PropertyName"].property_types #=> Array
resp.connection_properties["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.connection_properties["PropertyName"].allowed_values #=> Array
resp.connection_properties["PropertyName"].allowed_values[0].description #=> String
resp.connection_properties["PropertyName"].allowed_values[0].value #=> String
resp.connection_properties["PropertyName"].data_operation_scopes #=> Array
resp.connection_properties["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.connection_options #=> Hash
resp.connection_options["PropertyName"].name #=> String
resp.connection_options["PropertyName"].description #=> String
resp.connection_options["PropertyName"].required #=> Boolean
resp.connection_options["PropertyName"].default_value #=> String
resp.connection_options["PropertyName"].property_types #=> Array
resp.connection_options["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.connection_options["PropertyName"].allowed_values #=> Array
resp.connection_options["PropertyName"].allowed_values[0].description #=> String
resp.connection_options["PropertyName"].allowed_values[0].value #=> String
resp.connection_options["PropertyName"].data_operation_scopes #=> Array
resp.connection_options["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.authentication_configuration.authentication_type.name #=> String
resp.authentication_configuration.authentication_type.description #=> String
resp.authentication_configuration.authentication_type.required #=> Boolean
resp.authentication_configuration.authentication_type.default_value #=> String
resp.authentication_configuration.authentication_type.property_types #=> Array
resp.authentication_configuration.authentication_type.property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.authentication_configuration.authentication_type.allowed_values #=> Array
resp.authentication_configuration.authentication_type.allowed_values[0].description #=> String
resp.authentication_configuration.authentication_type.allowed_values[0].value #=> String
resp.authentication_configuration.authentication_type.data_operation_scopes #=> Array
resp.authentication_configuration.authentication_type.data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.authentication_configuration.secret_arn.name #=> String
resp.authentication_configuration.secret_arn.description #=> String
resp.authentication_configuration.secret_arn.required #=> Boolean
resp.authentication_configuration.secret_arn.default_value #=> String
resp.authentication_configuration.secret_arn.property_types #=> Array
resp.authentication_configuration.secret_arn.property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.authentication_configuration.secret_arn.allowed_values #=> Array
resp.authentication_configuration.secret_arn.allowed_values[0].description #=> String
resp.authentication_configuration.secret_arn.allowed_values[0].value #=> String
resp.authentication_configuration.secret_arn.data_operation_scopes #=> Array
resp.authentication_configuration.secret_arn.data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.authentication_configuration.o_auth_2_properties #=> Hash
resp.authentication_configuration.o_auth_2_properties["PropertyName"].name #=> String
resp.authentication_configuration.o_auth_2_properties["PropertyName"].description #=> String
resp.authentication_configuration.o_auth_2_properties["PropertyName"].required #=> Boolean
resp.authentication_configuration.o_auth_2_properties["PropertyName"].default_value #=> String
resp.authentication_configuration.o_auth_2_properties["PropertyName"].property_types #=> Array
resp.authentication_configuration.o_auth_2_properties["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.authentication_configuration.o_auth_2_properties["PropertyName"].allowed_values #=> Array
resp.authentication_configuration.o_auth_2_properties["PropertyName"].allowed_values[0].description #=> String
resp.authentication_configuration.o_auth_2_properties["PropertyName"].allowed_values[0].value #=> String
resp.authentication_configuration.o_auth_2_properties["PropertyName"].data_operation_scopes #=> Array
resp.authentication_configuration.o_auth_2_properties["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.authentication_configuration.basic_authentication_properties #=> Hash
resp.authentication_configuration.basic_authentication_properties["PropertyName"].name #=> String
resp.authentication_configuration.basic_authentication_properties["PropertyName"].description #=> String
resp.authentication_configuration.basic_authentication_properties["PropertyName"].required #=> Boolean
resp.authentication_configuration.basic_authentication_properties["PropertyName"].default_value #=> String
resp.authentication_configuration.basic_authentication_properties["PropertyName"].property_types #=> Array
resp.authentication_configuration.basic_authentication_properties["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.authentication_configuration.basic_authentication_properties["PropertyName"].allowed_values #=> Array
resp.authentication_configuration.basic_authentication_properties["PropertyName"].allowed_values[0].description #=> String
resp.authentication_configuration.basic_authentication_properties["PropertyName"].allowed_values[0].value #=> String
resp.authentication_configuration.basic_authentication_properties["PropertyName"].data_operation_scopes #=> Array
resp.authentication_configuration.basic_authentication_properties["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.authentication_configuration.custom_authentication_properties #=> Hash
resp.authentication_configuration.custom_authentication_properties["PropertyName"].name #=> String
resp.authentication_configuration.custom_authentication_properties["PropertyName"].description #=> String
resp.authentication_configuration.custom_authentication_properties["PropertyName"].required #=> Boolean
resp.authentication_configuration.custom_authentication_properties["PropertyName"].default_value #=> String
resp.authentication_configuration.custom_authentication_properties["PropertyName"].property_types #=> Array
resp.authentication_configuration.custom_authentication_properties["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.authentication_configuration.custom_authentication_properties["PropertyName"].allowed_values #=> Array
resp.authentication_configuration.custom_authentication_properties["PropertyName"].allowed_values[0].description #=> String
resp.authentication_configuration.custom_authentication_properties["PropertyName"].allowed_values[0].value #=> String
resp.authentication_configuration.custom_authentication_properties["PropertyName"].data_operation_scopes #=> Array
resp.authentication_configuration.custom_authentication_properties["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.compute_environment_configurations #=> Hash
resp.compute_environment_configurations["ComputeEnvironmentName"].name #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].description #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].compute_environment #=> String, one of "SPARK", "ATHENA", "PYTHON"
resp.compute_environment_configurations["ComputeEnvironmentName"].supported_authentication_types #=> Array
resp.compute_environment_configurations["ComputeEnvironmentName"].supported_authentication_types[0] #=> String, one of "BASIC", "OAUTH2", "CUSTOM", "IAM"
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options #=> Hash
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].name #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].description #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].required #=> Boolean
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].default_value #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].property_types #=> Array
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].allowed_values #=> Array
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].allowed_values[0].description #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].allowed_values[0].value #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].data_operation_scopes #=> Array
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_options["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_property_name_overrides #=> Hash
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_property_name_overrides["PropertyName"] #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_option_name_overrides #=> Hash
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_option_name_overrides["PropertyName"] #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_properties_required_overrides #=> Array
resp.compute_environment_configurations["ComputeEnvironmentName"].connection_properties_required_overrides[0] #=> String
resp.compute_environment_configurations["ComputeEnvironmentName"].physical_connection_properties_required #=> Boolean
resp.physical_connection_requirements #=> Hash
resp.physical_connection_requirements["PropertyName"].name #=> String
resp.physical_connection_requirements["PropertyName"].description #=> String
resp.physical_connection_requirements["PropertyName"].required #=> Boolean
resp.physical_connection_requirements["PropertyName"].default_value #=> String
resp.physical_connection_requirements["PropertyName"].property_types #=> Array
resp.physical_connection_requirements["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.physical_connection_requirements["PropertyName"].allowed_values #=> Array
resp.physical_connection_requirements["PropertyName"].allowed_values[0].description #=> String
resp.physical_connection_requirements["PropertyName"].allowed_values[0].value #=> String
resp.physical_connection_requirements["PropertyName"].data_operation_scopes #=> Array
resp.physical_connection_requirements["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.athena_connection_properties #=> Hash
resp.athena_connection_properties["PropertyName"].name #=> String
resp.athena_connection_properties["PropertyName"].description #=> String
resp.athena_connection_properties["PropertyName"].required #=> Boolean
resp.athena_connection_properties["PropertyName"].default_value #=> String
resp.athena_connection_properties["PropertyName"].property_types #=> Array
resp.athena_connection_properties["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.athena_connection_properties["PropertyName"].allowed_values #=> Array
resp.athena_connection_properties["PropertyName"].allowed_values[0].description #=> String
resp.athena_connection_properties["PropertyName"].allowed_values[0].value #=> String
resp.athena_connection_properties["PropertyName"].data_operation_scopes #=> Array
resp.athena_connection_properties["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.python_connection_properties #=> Hash
resp.python_connection_properties["PropertyName"].name #=> String
resp.python_connection_properties["PropertyName"].description #=> String
resp.python_connection_properties["PropertyName"].required #=> Boolean
resp.python_connection_properties["PropertyName"].default_value #=> String
resp.python_connection_properties["PropertyName"].property_types #=> Array
resp.python_connection_properties["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.python_connection_properties["PropertyName"].allowed_values #=> Array
resp.python_connection_properties["PropertyName"].allowed_values[0].description #=> String
resp.python_connection_properties["PropertyName"].allowed_values[0].value #=> String
resp.python_connection_properties["PropertyName"].data_operation_scopes #=> Array
resp.python_connection_properties["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"
resp.spark_connection_properties #=> Hash
resp.spark_connection_properties["PropertyName"].name #=> String
resp.spark_connection_properties["PropertyName"].description #=> String
resp.spark_connection_properties["PropertyName"].required #=> Boolean
resp.spark_connection_properties["PropertyName"].default_value #=> String
resp.spark_connection_properties["PropertyName"].property_types #=> Array
resp.spark_connection_properties["PropertyName"].property_types[0] #=> String, one of "USER_INPUT", "SECRET", "READ_ONLY", "UNUSED", "SECRET_OR_USER_INPUT"
resp.spark_connection_properties["PropertyName"].allowed_values #=> Array
resp.spark_connection_properties["PropertyName"].allowed_values[0].description #=> String
resp.spark_connection_properties["PropertyName"].allowed_values[0].value #=> String
resp.spark_connection_properties["PropertyName"].data_operation_scopes #=> Array
resp.spark_connection_properties["PropertyName"].data_operation_scopes[0] #=> String, one of "READ", "WRITE"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:connection_type (required, String) —
The name of the connection type to be described.

Returns:

(Types::DescribeConnectionTypeResponse) —
Returns a response object which responds to the following methods:
- #connection_type => String
- #description => String
- #capabilities => Types::Capabilities
- #connection_properties => Hash<String,Types::Property>
- #connection_options => Hash<String,Types::Property>
- #authentication_configuration => Types::AuthConfiguration
- #compute_environment_configurations => Hash<String,Types::ComputeEnvironmentConfiguration>
- #physical_connection_requirements => Hash<String,Types::Property>
- #athena_connection_properties => Hash<String,Types::Property>
- #python_connection_properties => Hash<String,Types::Property>
- #spark_connection_properties => Hash<String,Types::Property>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6858

def describe_connection_type(params = {}, options = {})
  req = build_request(:describe_connection_type, params)
  req.send_request(options)
end

#describe_entity(params = {}) ⇒ `Types::DescribeEntityResponse`

Provides details regarding the entity used with the connection type, with a description of the data model for each field in the selected entity.

The response includes all the fields which make up the entity.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.describe_entity({
  connection_name: "NameString", # required
  catalog_id: "CatalogIdString",
  entity_name: "EntityName", # required
  next_token: "NextToken",
  data_store_api_version: "ApiVersion",
})

Response structure


resp.fields #=> Array
resp.fields[0].field_name #=> String
resp.fields[0].label #=> String
resp.fields[0].description #=> String
resp.fields[0].field_type #=> String, one of "INT", "SMALLINT", "BIGINT", "FLOAT", "LONG", "DATE", "BOOLEAN", "MAP", "ARRAY", "STRING", "TIMESTAMP", "DECIMAL", "BYTE", "SHORT", "DOUBLE", "STRUCT"
resp.fields[0].is_primary_key #=> Boolean
resp.fields[0].is_nullable #=> Boolean
resp.fields[0].is_retrievable #=> Boolean
resp.fields[0].is_filterable #=> Boolean
resp.fields[0].is_partitionable #=> Boolean
resp.fields[0].is_createable #=> Boolean
resp.fields[0].is_updateable #=> Boolean
resp.fields[0].is_upsertable #=> Boolean
resp.fields[0].is_default_on_create #=> Boolean
resp.fields[0].supported_values #=> Array
resp.fields[0].supported_values[0] #=> String
resp.fields[0].supported_filter_operators #=> Array
resp.fields[0].supported_filter_operators[0] #=> String, one of "LESS_THAN", "GREATER_THAN", "BETWEEN", "EQUAL_TO", "NOT_EQUAL_TO", "GREATER_THAN_OR_EQUAL_TO", "LESS_THAN_OR_EQUAL_TO", "CONTAINS", "ORDER_BY"
resp.fields[0].parent_field #=> String
resp.fields[0].native_data_type #=> String
resp.fields[0].custom_properties #=> Hash
resp.fields[0].custom_properties["String"] #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:connection_name (required, String) —
The name of the connection that contains the connection type credentials.
:catalog_id (String) —
The catalog ID of the catalog that contains the connection. This can be null, By default, the Amazon Web Services Account ID is the catalog ID.
:entity_name (required, String) —
The name of the entity that you want to describe from the connection type.
:next_token (String) —
A continuation token, included if this is a continuation call.
:data_store_api_version (String) —
The version of the API used for the data store.

Returns:

(Types::DescribeEntityResponse) —
Returns a response object which responds to the following methods:
- #fields => Array<Types::Field>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6935

def describe_entity(params = {}, options = {})
  req = build_request(:describe_entity, params)
  req.send_request(options)
end

#describe_inbound_integrations(params = {}) ⇒ `Types::DescribeInboundIntegrationsResponse`

Returns a list of inbound integrations for the specified integration.

Examples:

Request syntax with placeholder values


resp = client.describe_inbound_integrations({
  integration_arn: "String128",
  marker: "String128",
  max_records: 1,
  target_arn: "String128",
})

Response structure


resp.inbound_integrations #=> Array
resp.inbound_integrations[0].source_arn #=> String
resp.inbound_integrations[0].target_arn #=> String
resp.inbound_integrations[0].integration_arn #=> String
resp.inbound_integrations[0].status #=> String, one of "CREATING", "ACTIVE", "MODIFYING", "FAILED", "DELETING", "SYNCING", "NEEDS_ATTENTION"
resp.inbound_integrations[0].create_time #=> Time
resp.inbound_integrations[0].integration_config.refresh_interval #=> String
resp.inbound_integrations[0].errors #=> Array
resp.inbound_integrations[0].errors[0].error_code #=> String
resp.inbound_integrations[0].errors[0].error_message #=> String
resp.marker #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:integration_arn (String) —
The Amazon Resource Name (ARN) of the integration.
:marker (String) —
A token to specify where to start paginating. This is the marker from a previously truncated response.
:max_records (Integer) —
The total number of items to return in the output.
:target_arn (String) —
The Amazon Resource Name (ARN) of the target resource in the integration.

Returns:

(Types::DescribeInboundIntegrationsResponse) —
Returns a response object which responds to the following methods:
- #inbound_integrations => Array<Types::InboundIntegration>
- #marker => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 6988

def describe_inbound_integrations(params = {}, options = {})
  req = build_request(:describe_inbound_integrations, params)
  req.send_request(options)
end

#describe_integrations(params = {}) ⇒ `Types::DescribeIntegrationsResponse`

The API is used to retrieve a list of integrations.

Examples:

Request syntax with placeholder values


resp = client.describe_integrations({
  integration_identifier: "String128",
  marker: "String128",
  max_records: 1,
  filters: [
    {
      name: "String128",
      values: ["String128"],
    },
  ],
})

Response structure


resp.integrations #=> Array
resp.integrations[0].source_arn #=> String
resp.integrations[0].target_arn #=> String
resp.integrations[0].description #=> String
resp.integrations[0].integration_name #=> String
resp.integrations[0].integration_arn #=> String
resp.integrations[0].kms_key_id #=> String
resp.integrations[0].additional_encryption_context #=> Hash
resp.integrations[0].additional_encryption_context["IntegrationString"] #=> String
resp.integrations[0].tags #=> Array
resp.integrations[0].tags[0].key #=> String
resp.integrations[0].tags[0].value #=> String
resp.integrations[0].status #=> String, one of "CREATING", "ACTIVE", "MODIFYING", "FAILED", "DELETING", "SYNCING", "NEEDS_ATTENTION"
resp.integrations[0].create_time #=> Time
resp.integrations[0].integration_config.refresh_interval #=> String
resp.integrations[0].errors #=> Array
resp.integrations[0].errors[0].error_code #=> String
resp.integrations[0].errors[0].error_message #=> String
resp.integrations[0].data_filter #=> String
resp.marker #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:integration_identifier (String) —
The Amazon Resource Name (ARN) for the integration.
:marker (String) —
A value that indicates the starting point for the next set of response records in a subsequent request.
:max_records (Integer) —
The total number of items to return in the output.
:filters (Array<Types::IntegrationFilter>) —
A list of key and values, to filter down the results. Supported keys are "Status", "IntegrationName", and "SourceArn". IntegrationName is limited to only one value.

Returns:

(Types::DescribeIntegrationsResponse) —
Returns a response object which responds to the following methods:
- #integrations => Array<Types::Integration>
- #marker => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7056

def describe_integrations(params = {}, options = {})
  req = build_request(:describe_integrations, params)
  req.send_request(options)
end

#get_blueprint(params = {}) ⇒ `Types::GetBlueprintResponse`

Retrieves the details of a blueprint.

Examples:

Request syntax with placeholder values


resp = client.get_blueprint({
  name: "NameString", # required
  include_blueprint: false,
  include_parameter_spec: false,
})

Response structure


resp.blueprint.name #=> String
resp.blueprint.description #=> String
resp.blueprint.created_on #=> Time
resp.blueprint.last_modified_on #=> Time
resp.blueprint.parameter_spec #=> String
resp.blueprint.blueprint_location #=> String
resp.blueprint.blueprint_service_location #=> String
resp.blueprint.status #=> String, one of "CREATING", "ACTIVE", "UPDATING", "FAILED"
resp.blueprint.error_message #=> String
resp.blueprint.last_active_definition.description #=> String
resp.blueprint.last_active_definition.last_modified_on #=> Time
resp.blueprint.last_active_definition.parameter_spec #=> String
resp.blueprint.last_active_definition.blueprint_location #=> String
resp.blueprint.last_active_definition.blueprint_service_location #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the blueprint.
:include_blueprint (Boolean) —
Specifies whether or not to include the blueprint in the response.
:include_parameter_spec (Boolean) —
Specifies whether or not to include the parameter specification.

Returns:

(Types::GetBlueprintResponse) —
Returns a response object which responds to the following methods:
- #blueprint => Types::Blueprint

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7105

def get_blueprint(params = {}, options = {})
  req = build_request(:get_blueprint, params)
  req.send_request(options)
end

#get_blueprint_run(params = {}) ⇒ `Types::GetBlueprintRunResponse`

Retrieves the details of a blueprint run.

Examples:

Request syntax with placeholder values


resp = client.get_blueprint_run({
  blueprint_name: "OrchestrationNameString", # required
  run_id: "IdString", # required
})

Response structure


resp.blueprint_run.blueprint_name #=> String
resp.blueprint_run.run_id #=> String
resp.blueprint_run.workflow_name #=> String
resp.blueprint_run.state #=> String, one of "RUNNING", "SUCCEEDED", "FAILED", "ROLLING_BACK"
resp.blueprint_run.started_on #=> Time
resp.blueprint_run.completed_on #=> Time
resp.blueprint_run.error_message #=> String
resp.blueprint_run.rollback_error_message #=> String
resp.blueprint_run.parameters #=> String
resp.blueprint_run.role_arn #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:blueprint_name (required, String) —
The name of the blueprint.
:run_id (required, String) —
The run ID for the blueprint run you want to retrieve.

Returns:

(Types::GetBlueprintRunResponse) —
Returns a response object which responds to the following methods:
- #blueprint_run => Types::BlueprintRun

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7146

def get_blueprint_run(params = {}, options = {})
  req = build_request(:get_blueprint_run, params)
  req.send_request(options)
end

#get_blueprint_runs(params = {}) ⇒ `Types::GetBlueprintRunsResponse`

Retrieves the details of blueprint runs for a specified blueprint.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_blueprint_runs({
  blueprint_name: "NameString", # required
  next_token: "GenericString",
  max_results: 1,
})

Response structure


resp.blueprint_runs #=> Array
resp.blueprint_runs[0].blueprint_name #=> String
resp.blueprint_runs[0].run_id #=> String
resp.blueprint_runs[0].workflow_name #=> String
resp.blueprint_runs[0].state #=> String, one of "RUNNING", "SUCCEEDED", "FAILED", "ROLLING_BACK"
resp.blueprint_runs[0].started_on #=> Time
resp.blueprint_runs[0].completed_on #=> Time
resp.blueprint_runs[0].error_message #=> String
resp.blueprint_runs[0].rollback_error_message #=> String
resp.blueprint_runs[0].parameters #=> String
resp.blueprint_runs[0].role_arn #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:blueprint_name (required, String) —
The name of the blueprint.
:next_token (String) —
A continuation token, if this is a continuation request.
:max_results (Integer) —
The maximum size of a list to return.

Returns:

(Types::GetBlueprintRunsResponse) —
Returns a response object which responds to the following methods:
- #blueprint_runs => Array<Types::BlueprintRun>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7196

def get_blueprint_runs(params = {}, options = {})
  req = build_request(:get_blueprint_runs, params)
  req.send_request(options)
end

#get_catalog(params = {}) ⇒ `Types::GetCatalogResponse`

The name of the Catalog to retrieve. This should be all lowercase.

Examples:

Request syntax with placeholder values


resp = client.get_catalog({
  catalog_id: "CatalogIdString", # required
})

Response structure


resp.catalog.catalog_id #=> String
resp.catalog.name #=> String
resp.catalog.resource_arn #=> String
resp.catalog.description #=> String
resp.catalog.parameters #=> Hash
resp.catalog.parameters["KeyString"] #=> String
resp.catalog.create_time #=> Time
resp.catalog.update_time #=> Time
resp.catalog.target_redshift_catalog.catalog_arn #=> String
resp.catalog.federated_catalog.identifier #=> String
resp.catalog.federated_catalog.connection_name #=> String
resp.catalog.catalog_properties.data_lake_access_properties.data_lake_access #=> Boolean
resp.catalog.catalog_properties.data_lake_access_properties.data_transfer_role #=> String
resp.catalog.catalog_properties.data_lake_access_properties.kms_key #=> String
resp.catalog.catalog_properties.data_lake_access_properties.managed_workgroup_name #=> String
resp.catalog.catalog_properties.data_lake_access_properties.managed_workgroup_status #=> String
resp.catalog.catalog_properties.data_lake_access_properties.redshift_database_name #=> String
resp.catalog.catalog_properties.data_lake_access_properties.status_message #=> String
resp.catalog.catalog_properties.data_lake_access_properties.catalog_type #=> String
resp.catalog.catalog_properties.custom_properties #=> Hash
resp.catalog.catalog_properties.custom_properties["KeyString"] #=> String
resp.catalog.create_table_default_permissions #=> Array
resp.catalog.create_table_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.catalog.create_table_default_permissions[0].permissions #=> Array
resp.catalog.create_table_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.catalog.create_database_default_permissions #=> Array
resp.catalog.create_database_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.catalog.create_database_default_permissions[0].permissions #=> Array
resp.catalog.create_database_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.catalog.allow_full_table_external_data_access #=> String, one of "True", "False"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (required, String) —
The ID of the parent catalog in which the catalog resides. If none is provided, the Amazon Web Services Account Number is used by default.

Returns:

(Types::GetCatalogResponse) —
Returns a response object which responds to the following methods:
- #catalog => Types::Catalog

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7254

def get_catalog(params = {}, options = {})
  req = build_request(:get_catalog, params)
  req.send_request(options)
end

#get_catalog_import_status(params = {}) ⇒ `Types::GetCatalogImportStatusResponse`

Retrieves the status of a migration operation.

Examples:

Request syntax with placeholder values


resp = client.get_catalog_import_status({
  catalog_id: "CatalogIdString",
})

Response structure


resp.import_status.import_completed #=> Boolean
resp.import_status.import_time #=> Time
resp.import_status.imported_by #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the catalog to migrate. Currently, this should be the Amazon Web Services account ID.

Returns:

(Types::GetCatalogImportStatusResponse) —
Returns a response object which responds to the following methods:
- #import_status => Types::CatalogImportStatus

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7285

def get_catalog_import_status(params = {}, options = {})
  req = build_request(:get_catalog_import_status, params)
  req.send_request(options)
end

#get_catalogs(params = {}) ⇒ `Types::GetCatalogsResponse`

Retrieves all catalogs defined in a catalog in the Glue Data Catalog. For a Redshift-federated catalog use case, this operation returns the list of catalogs mapped to Redshift databases in the Redshift namespace catalog.

Examples:

Request syntax with placeholder values


resp = client.get_catalogs({
  parent_catalog_id: "CatalogIdString",
  next_token: "Token",
  max_results: 1,
  recursive: false,
  include_root: false,
})

Response structure


resp.catalog_list #=> Array
resp.catalog_list[0].catalog_id #=> String
resp.catalog_list[0].name #=> String
resp.catalog_list[0].resource_arn #=> String
resp.catalog_list[0].description #=> String
resp.catalog_list[0].parameters #=> Hash
resp.catalog_list[0].parameters["KeyString"] #=> String
resp.catalog_list[0].create_time #=> Time
resp.catalog_list[0].update_time #=> Time
resp.catalog_list[0].target_redshift_catalog.catalog_arn #=> String
resp.catalog_list[0].federated_catalog.identifier #=> String
resp.catalog_list[0].federated_catalog.connection_name #=> String
resp.catalog_list[0].catalog_properties.data_lake_access_properties.data_lake_access #=> Boolean
resp.catalog_list[0].catalog_properties.data_lake_access_properties.data_transfer_role #=> String
resp.catalog_list[0].catalog_properties.data_lake_access_properties.kms_key #=> String
resp.catalog_list[0].catalog_properties.data_lake_access_properties.managed_workgroup_name #=> String
resp.catalog_list[0].catalog_properties.data_lake_access_properties.managed_workgroup_status #=> String
resp.catalog_list[0].catalog_properties.data_lake_access_properties.redshift_database_name #=> String
resp.catalog_list[0].catalog_properties.data_lake_access_properties.status_message #=> String
resp.catalog_list[0].catalog_properties.data_lake_access_properties.catalog_type #=> String
resp.catalog_list[0].catalog_properties.custom_properties #=> Hash
resp.catalog_list[0].catalog_properties.custom_properties["KeyString"] #=> String
resp.catalog_list[0].create_table_default_permissions #=> Array
resp.catalog_list[0].create_table_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.catalog_list[0].create_table_default_permissions[0].permissions #=> Array
resp.catalog_list[0].create_table_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.catalog_list[0].create_database_default_permissions #=> Array
resp.catalog_list[0].create_database_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.catalog_list[0].create_database_default_permissions[0].permissions #=> Array
resp.catalog_list[0].create_database_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.catalog_list[0].allow_full_table_external_data_access #=> String, one of "True", "False"
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:parent_catalog_id (String) —
The ID of the parent catalog in which the catalog resides. If none is provided, the Amazon Web Services Account Number is used by default.
:next_token (String) —
A continuation token, if this is a continuation call.
:max_results (Integer) —
The maximum number of catalogs to return in one response.
:recursive (Boolean) —
Whether to list all catalogs across the catalog hierarchy, starting from the ParentCatalogId. Defaults to false . When true, all catalog objects in the ParentCatalogID hierarchy are enumerated in the response.
:include_root (Boolean) —
Whether to list the default catalog in the account and region in the response. Defaults to false. When true and ParentCatalogId = NULL | Amazon Web Services Account ID, all catalogs and the default catalog are enumerated in the response.

When the ParentCatalogId is not equal to null, and this attribute is passed as false or true, an InvalidInputException is thrown.

Returns:

(Types::GetCatalogsResponse) —
Returns a response object which responds to the following methods:
- #catalog_list => Array<Types::Catalog>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7374

def get_catalogs(params = {}, options = {})
  req = build_request(:get_catalogs, params)
  req.send_request(options)
end

#get_classifier(params = {}) ⇒ `Types::GetClassifierResponse`

Retrieve a classifier by name.

Examples:

Request syntax with placeholder values


resp = client.get_classifier({
  name: "NameString", # required
})

Response structure


resp.classifier.grok_classifier.name #=> String
resp.classifier.grok_classifier.classification #=> String
resp.classifier.grok_classifier.creation_time #=> Time
resp.classifier.grok_classifier.last_updated #=> Time
resp.classifier.grok_classifier.version #=> Integer
resp.classifier.grok_classifier.grok_pattern #=> String
resp.classifier.grok_classifier.custom_patterns #=> String
resp.classifier.xml_classifier.name #=> String
resp.classifier.xml_classifier.classification #=> String
resp.classifier.xml_classifier.creation_time #=> Time
resp.classifier.xml_classifier.last_updated #=> Time
resp.classifier.xml_classifier.version #=> Integer
resp.classifier.xml_classifier.row_tag #=> String
resp.classifier.json_classifier.name #=> String
resp.classifier.json_classifier.creation_time #=> Time
resp.classifier.json_classifier.last_updated #=> Time
resp.classifier.json_classifier.version #=> Integer
resp.classifier.json_classifier.json_path #=> String
resp.classifier.csv_classifier.name #=> String
resp.classifier.csv_classifier.creation_time #=> Time
resp.classifier.csv_classifier.last_updated #=> Time
resp.classifier.csv_classifier.version #=> Integer
resp.classifier.csv_classifier.delimiter #=> String
resp.classifier.csv_classifier.quote_symbol #=> String
resp.classifier.csv_classifier.contains_header #=> String, one of "UNKNOWN", "PRESENT", "ABSENT"
resp.classifier.csv_classifier.header #=> Array
resp.classifier.csv_classifier.header[0] #=> String
resp.classifier.csv_classifier.disable_value_trimming #=> Boolean
resp.classifier.csv_classifier.allow_single_column #=> Boolean
resp.classifier.csv_classifier.custom_datatype_configured #=> Boolean
resp.classifier.csv_classifier.custom_datatypes #=> Array
resp.classifier.csv_classifier.custom_datatypes[0] #=> String
resp.classifier.csv_classifier.serde #=> String, one of "OpenCSVSerDe", "LazySimpleSerDe", "None"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
Name of the classifier to retrieve.

Returns:

(Types::GetClassifierResponse) —
Returns a response object which responds to the following methods:
- #classifier => Types::Classifier

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7434

def get_classifier(params = {}, options = {})
  req = build_request(:get_classifier, params)
  req.send_request(options)
end

#get_classifiers(params = {}) ⇒ `Types::GetClassifiersResponse`

Lists all classifier objects in the Data Catalog.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_classifiers({
  max_results: 1,
  next_token: "Token",
})

Response structure


resp.classifiers #=> Array
resp.classifiers[0].grok_classifier.name #=> String
resp.classifiers[0].grok_classifier.classification #=> String
resp.classifiers[0].grok_classifier.creation_time #=> Time
resp.classifiers[0].grok_classifier.last_updated #=> Time
resp.classifiers[0].grok_classifier.version #=> Integer
resp.classifiers[0].grok_classifier.grok_pattern #=> String
resp.classifiers[0].grok_classifier.custom_patterns #=> String
resp.classifiers[0].xml_classifier.name #=> String
resp.classifiers[0].xml_classifier.classification #=> String
resp.classifiers[0].xml_classifier.creation_time #=> Time
resp.classifiers[0].xml_classifier.last_updated #=> Time
resp.classifiers[0].xml_classifier.version #=> Integer
resp.classifiers[0].xml_classifier.row_tag #=> String
resp.classifiers[0].json_classifier.name #=> String
resp.classifiers[0].json_classifier.creation_time #=> Time
resp.classifiers[0].json_classifier.last_updated #=> Time
resp.classifiers[0].json_classifier.version #=> Integer
resp.classifiers[0].json_classifier.json_path #=> String
resp.classifiers[0].csv_classifier.name #=> String
resp.classifiers[0].csv_classifier.creation_time #=> Time
resp.classifiers[0].csv_classifier.last_updated #=> Time
resp.classifiers[0].csv_classifier.version #=> Integer
resp.classifiers[0].csv_classifier.delimiter #=> String
resp.classifiers[0].csv_classifier.quote_symbol #=> String
resp.classifiers[0].csv_classifier.contains_header #=> String, one of "UNKNOWN", "PRESENT", "ABSENT"
resp.classifiers[0].csv_classifier.header #=> Array
resp.classifiers[0].csv_classifier.header[0] #=> String
resp.classifiers[0].csv_classifier.disable_value_trimming #=> Boolean
resp.classifiers[0].csv_classifier.allow_single_column #=> Boolean
resp.classifiers[0].csv_classifier.custom_datatype_configured #=> Boolean
resp.classifiers[0].csv_classifier.custom_datatypes #=> Array
resp.classifiers[0].csv_classifier.custom_datatypes[0] #=> String
resp.classifiers[0].csv_classifier.serde #=> String, one of "OpenCSVSerDe", "LazySimpleSerDe", "None"
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:max_results (Integer) —
The size of the list to return (optional).
:next_token (String) —
An optional continuation token.

Returns:

(Types::GetClassifiersResponse) —
Returns a response object which responds to the following methods:
- #classifiers => Array<Types::Classifier>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7503

def get_classifiers(params = {}, options = {})
  req = build_request(:get_classifiers, params)
  req.send_request(options)
end

#get_column_statistics_for_partition(params = {}) ⇒ `Types::GetColumnStatisticsForPartitionResponse`

Retrieves partition statistics of columns.

The Identity and Access Management (IAM) permission required for this operation is GetPartition.

Examples:

Request syntax with placeholder values


resp = client.get_column_statistics_for_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
  column_names: ["NameString"], # required
})

Response structure


resp.column_statistics_list #=> Array
resp.column_statistics_list[0].column_name #=> String
resp.column_statistics_list[0].column_type #=> String
resp.column_statistics_list[0].analyzed_time #=> Time
resp.column_statistics_list[0].statistics_data.type #=> String, one of "BOOLEAN", "DATE", "DECIMAL", "DOUBLE", "LONG", "STRING", "BINARY"
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_trues #=> Integer
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_falses #=> Integer
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.minimum_value #=> Time
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.maximum_value #=> Time
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.minimum_value.unscaled_value #=> String
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.minimum_value.scale #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.maximum_value.unscaled_value #=> String
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.maximum_value.scale #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.minimum_value #=> Float
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.maximum_value #=> Float
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.minimum_value #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.maximum_value #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.maximum_length #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.average_length #=> Float
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.maximum_length #=> Integer
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.average_length #=> Float
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.number_of_nulls #=> Integer
resp.errors #=> Array
resp.errors[0].column_name #=> String
resp.errors[0].error.error_code #=> String
resp.errors[0].error.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the partitions reside.
:table_name (required, String) —
The name of the partitions' table.
:partition_values (required, Array<String>) —
A list of partition values identifying the partition.
:column_names (required, Array<String>) —
A list of the column names.

Returns:

(Types::GetColumnStatisticsForPartitionResponse) —
Returns a response object which responds to the following methods:
- #column_statistics_list => Array<Types::ColumnStatistics>
- #errors => Array<Types::ColumnError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7589

def get_column_statistics_for_partition(params = {}, options = {})
  req = build_request(:get_column_statistics_for_partition, params)
  req.send_request(options)
end

#get_column_statistics_for_table(params = {}) ⇒ `Types::GetColumnStatisticsForTableResponse`

Retrieves table statistics of columns.

The Identity and Access Management (IAM) permission required for this operation is GetTable.

Examples:

Request syntax with placeholder values


resp = client.get_column_statistics_for_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  column_names: ["NameString"], # required
})

Response structure


resp.column_statistics_list #=> Array
resp.column_statistics_list[0].column_name #=> String
resp.column_statistics_list[0].column_type #=> String
resp.column_statistics_list[0].analyzed_time #=> Time
resp.column_statistics_list[0].statistics_data.type #=> String, one of "BOOLEAN", "DATE", "DECIMAL", "DOUBLE", "LONG", "STRING", "BINARY"
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_trues #=> Integer
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_falses #=> Integer
resp.column_statistics_list[0].statistics_data.boolean_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.minimum_value #=> Time
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.maximum_value #=> Time
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.date_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.minimum_value.unscaled_value #=> String
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.minimum_value.scale #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.maximum_value.unscaled_value #=> String
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.maximum_value.scale #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.decimal_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.minimum_value #=> Float
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.maximum_value #=> Float
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.double_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.minimum_value #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.maximum_value #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.long_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.maximum_length #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.average_length #=> Float
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.number_of_nulls #=> Integer
resp.column_statistics_list[0].statistics_data.string_column_statistics_data.number_of_distinct_values #=> Integer
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.maximum_length #=> Integer
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.average_length #=> Float
resp.column_statistics_list[0].statistics_data.binary_column_statistics_data.number_of_nulls #=> Integer
resp.errors #=> Array
resp.errors[0].column_name #=> String
resp.errors[0].error.error_code #=> String
resp.errors[0].error.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partitions in question reside. If none is supplied, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the partitions reside.
:table_name (required, String) —
The name of the partitions' table.
:column_names (required, Array<String>) —
A list of the column names.

Returns:

(Types::GetColumnStatisticsForTableResponse) —
Returns a response object which responds to the following methods:
- #column_statistics_list => Array<Types::ColumnStatistics>
- #errors => Array<Types::ColumnError>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7671

def get_column_statistics_for_table(params = {}, options = {})
  req = build_request(:get_column_statistics_for_table, params)
  req.send_request(options)
end

#get_column_statistics_task_run(params = {}) ⇒ `Types::GetColumnStatisticsTaskRunResponse`

Get the associated metadata/information for a task run, given a task run ID.

Examples:

Request syntax with placeholder values


resp = client.get_column_statistics_task_run({
  column_statistics_task_run_id: "HashString", # required
})

Response structure


resp.column_statistics_task_run.customer_id #=> String
resp.column_statistics_task_run.column_statistics_task_run_id #=> String
resp.column_statistics_task_run.database_name #=> String
resp.column_statistics_task_run.table_name #=> String
resp.column_statistics_task_run.column_name_list #=> Array
resp.column_statistics_task_run.column_name_list[0] #=> String
resp.column_statistics_task_run.catalog_id #=> String
resp.column_statistics_task_run.role #=> String
resp.column_statistics_task_run.sample_size #=> Float
resp.column_statistics_task_run.security_configuration #=> String
resp.column_statistics_task_run.number_of_workers #=> Integer
resp.column_statistics_task_run.worker_type #=> String
resp.column_statistics_task_run.computation_type #=> String, one of "FULL", "INCREMENTAL"
resp.column_statistics_task_run.status #=> String, one of "STARTING", "RUNNING", "SUCCEEDED", "FAILED", "STOPPED"
resp.column_statistics_task_run.creation_time #=> Time
resp.column_statistics_task_run.last_updated #=> Time
resp.column_statistics_task_run.start_time #=> Time
resp.column_statistics_task_run.end_time #=> Time
resp.column_statistics_task_run.error_message #=> String
resp.column_statistics_task_run.dpu_seconds #=> Float

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:column_statistics_task_run_id (required, String) —
The identifier for the particular column statistics task run.

Returns:

(Types::GetColumnStatisticsTaskRunResponse) —
Returns a response object which responds to the following methods:
- #column_statistics_task_run => Types::ColumnStatisticsTaskRun

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7719

def get_column_statistics_task_run(params = {}, options = {})
  req = build_request(:get_column_statistics_task_run, params)
  req.send_request(options)
end

#get_column_statistics_task_runs(params = {}) ⇒ `Types::GetColumnStatisticsTaskRunsResponse`

Retrieves information about all runs associated with the specified table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_column_statistics_task_runs({
  database_name: "DatabaseName", # required
  table_name: "NameString", # required
  max_results: 1,
  next_token: "Token",
})

Response structure


resp.column_statistics_task_runs #=> Array
resp.column_statistics_task_runs[0].customer_id #=> String
resp.column_statistics_task_runs[0].column_statistics_task_run_id #=> String
resp.column_statistics_task_runs[0].database_name #=> String
resp.column_statistics_task_runs[0].table_name #=> String
resp.column_statistics_task_runs[0].column_name_list #=> Array
resp.column_statistics_task_runs[0].column_name_list[0] #=> String
resp.column_statistics_task_runs[0].catalog_id #=> String
resp.column_statistics_task_runs[0].role #=> String
resp.column_statistics_task_runs[0].sample_size #=> Float
resp.column_statistics_task_runs[0].security_configuration #=> String
resp.column_statistics_task_runs[0].number_of_workers #=> Integer
resp.column_statistics_task_runs[0].worker_type #=> String
resp.column_statistics_task_runs[0].computation_type #=> String, one of "FULL", "INCREMENTAL"
resp.column_statistics_task_runs[0].status #=> String, one of "STARTING", "RUNNING", "SUCCEEDED", "FAILED", "STOPPED"
resp.column_statistics_task_runs[0].creation_time #=> Time
resp.column_statistics_task_runs[0].last_updated #=> Time
resp.column_statistics_task_runs[0].start_time #=> Time
resp.column_statistics_task_runs[0].end_time #=> Time
resp.column_statistics_task_runs[0].error_message #=> String
resp.column_statistics_task_runs[0].dpu_seconds #=> Float
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:database_name (required, String) —
The name of the database where the table resides.
:table_name (required, String) —
The name of the table.
:max_results (Integer) —
The maximum size of the response.
:next_token (String) —
A continuation token, if this is a continuation call.

Returns:

(Types::GetColumnStatisticsTaskRunsResponse) —
Returns a response object which responds to the following methods:
- #column_statistics_task_runs => Array<Types::ColumnStatisticsTaskRun>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7784

def get_column_statistics_task_runs(params = {}, options = {})
  req = build_request(:get_column_statistics_task_runs, params)
  req.send_request(options)
end

#get_column_statistics_task_settings(params = {}) ⇒ `Types::GetColumnStatisticsTaskSettingsResponse`

Gets settings for a column statistics task.

Examples:

Request syntax with placeholder values


resp = client.get_column_statistics_task_settings({
  database_name: "NameString", # required
  table_name: "NameString", # required
})

Response structure


resp.column_statistics_task_settings.database_name #=> String
resp.column_statistics_task_settings.table_name #=> String
resp.column_statistics_task_settings.schedule.schedule_expression #=> String
resp.column_statistics_task_settings.schedule.state #=> String, one of "SCHEDULED", "NOT_SCHEDULED", "TRANSITIONING"
resp.column_statistics_task_settings.column_name_list #=> Array
resp.column_statistics_task_settings.column_name_list[0] #=> String
resp.column_statistics_task_settings.catalog_id #=> String
resp.column_statistics_task_settings.role #=> String
resp.column_statistics_task_settings.sample_size #=> Float
resp.column_statistics_task_settings.security_configuration #=> String
resp.column_statistics_task_settings.schedule_type #=> String, one of "CRON", "AUTO"
resp.column_statistics_task_settings.setting_source #=> String, one of "CATALOG", "TABLE"
resp.column_statistics_task_settings.last_execution_attempt.status #=> String, one of "FAILED", "STARTED"
resp.column_statistics_task_settings.last_execution_attempt.column_statistics_task_run_id #=> String
resp.column_statistics_task_settings.last_execution_attempt.execution_timestamp #=> Time
resp.column_statistics_task_settings.last_execution_attempt.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:database_name (required, String) —
The name of the database where the table resides.
:table_name (required, String) —
The name of the table for which to retrieve column statistics.

Returns:

(Types::GetColumnStatisticsTaskSettingsResponse) —
Returns a response object which responds to the following methods:
- #column_statistics_task_settings => Types::ColumnStatisticsTaskSettings

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7831

def get_column_statistics_task_settings(params = {}, options = {})
  req = build_request(:get_column_statistics_task_settings, params)
  req.send_request(options)
end

#get_connection(params = {}) ⇒ `Types::GetConnectionResponse`

Retrieves a connection definition from the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.get_connection({
  catalog_id: "CatalogIdString",
  name: "NameString", # required
  hide_password: false,
  apply_override_for_compute_environment: "SPARK", # accepts SPARK, ATHENA, PYTHON
})

Response structure


resp.connection.name #=> String
resp.connection.description #=> String
resp.connection.connection_type #=> String, one of "JDBC", "SFTP", "MONGODB", "KAFKA", "NETWORK", "MARKETPLACE", "CUSTOM", "SALESFORCE", "VIEW_VALIDATION_REDSHIFT", "VIEW_VALIDATION_ATHENA", "GOOGLEADS", "GOOGLESHEETS", "GOOGLEANALYTICS4", "SERVICENOW", "MARKETO", "SAPODATA", "ZENDESK", "JIRACLOUD", "NETSUITEERP", "HUBSPOT", "FACEBOOKADS", "INSTAGRAMADS", "ZOHOCRM", "SALESFORCEPARDOT", "SALESFORCEMARKETINGCLOUD", "SLACK", "STRIPE", "INTERCOM", "SNAPCHATADS"
resp.connection.match_criteria #=> Array
resp.connection.match_criteria[0] #=> String
resp.connection.connection_properties #=> Hash
resp.connection.connection_properties["ConnectionPropertyKey"] #=> String
resp.connection.spark_properties #=> Hash
resp.connection.spark_properties["PropertyKey"] #=> String
resp.connection.athena_properties #=> Hash
resp.connection.athena_properties["PropertyKey"] #=> String
resp.connection.python_properties #=> Hash
resp.connection.python_properties["PropertyKey"] #=> String
resp.connection.physical_connection_requirements.subnet_id #=> String
resp.connection.physical_connection_requirements.security_group_id_list #=> Array
resp.connection.physical_connection_requirements.security_group_id_list[0] #=> String
resp.connection.physical_connection_requirements.availability_zone #=> String
resp.connection.creation_time #=> Time
resp.connection.last_updated_time #=> Time
resp.connection.last_updated_by #=> String
resp.connection.status #=> String, one of "READY", "IN_PROGRESS", "FAILED"
resp.connection.status_reason #=> String
resp.connection.last_connection_validation_time #=> Time
resp.connection.authentication_configuration.authentication_type #=> String, one of "BASIC", "OAUTH2", "CUSTOM", "IAM"
resp.connection.authentication_configuration.secret_arn #=> String
resp.connection.authentication_configuration.o_auth_2_properties.o_auth_2_grant_type #=> String, one of "AUTHORIZATION_CODE", "CLIENT_CREDENTIALS", "JWT_BEARER"
resp.connection.authentication_configuration.o_auth_2_properties.o_auth_2_client_application.user_managed_client_application_client_id #=> String
resp.connection.authentication_configuration.o_auth_2_properties.o_auth_2_client_application.aws_managed_client_application_reference #=> String
resp.connection.authentication_configuration.o_auth_2_properties.token_url #=> String
resp.connection.authentication_configuration.o_auth_2_properties.token_url_parameters_map #=> Hash
resp.connection.authentication_configuration.o_auth_2_properties.token_url_parameters_map["TokenUrlParameterKey"] #=> String
resp.connection.connection_schema_version #=> Integer
resp.connection.compatible_compute_environments #=> Array
resp.connection.compatible_compute_environments[0] #=> String, one of "SPARK", "ATHENA", "PYTHON"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which the connection resides. If none is provided, the Amazon Web Services account ID is used by default.
:name (required, String) —
The name of the connection definition to retrieve.
:hide_password (Boolean) —
Allows you to retrieve the connection metadata without returning the password. For instance, the Glue console uses this flag to retrieve the connection, and does not display the password. Set this parameter when the caller might not have permission to use the KMS key to decrypt the password, but it does have permission to access the rest of the connection properties.
:apply_override_for_compute_environment (String) —
For connections that may be used in multiple services, specifies returning properties for the specified compute environment.

Returns:

(Types::GetConnectionResponse) —
Returns a response object which responds to the following methods:
- #connection => Types::Connection

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 7911

def get_connection(params = {}, options = {})
  req = build_request(:get_connection, params)
  req.send_request(options)
end

#get_connections(params = {}) ⇒ `Types::GetConnectionsResponse`

Retrieves a list of connection definitions from the Data Catalog.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_connections({
  catalog_id: "CatalogIdString",
  filter: {
    match_criteria: ["NameString"],
    connection_type: "JDBC", # accepts JDBC, SFTP, MONGODB, KAFKA, NETWORK, MARKETPLACE, CUSTOM, SALESFORCE, VIEW_VALIDATION_REDSHIFT, VIEW_VALIDATION_ATHENA, GOOGLEADS, GOOGLESHEETS, GOOGLEANALYTICS4, SERVICENOW, MARKETO, SAPODATA, ZENDESK, JIRACLOUD, NETSUITEERP, HUBSPOT, FACEBOOKADS, INSTAGRAMADS, ZOHOCRM, SALESFORCEPARDOT, SALESFORCEMARKETINGCLOUD, SLACK, STRIPE, INTERCOM, SNAPCHATADS
    connection_schema_version: 1,
  },
  hide_password: false,
  next_token: "Token",
  max_results: 1,
})

Response structure


resp.connection_list #=> Array
resp.connection_list[0].name #=> String
resp.connection_list[0].description #=> String
resp.connection_list[0].connection_type #=> String, one of "JDBC", "SFTP", "MONGODB", "KAFKA", "NETWORK", "MARKETPLACE", "CUSTOM", "SALESFORCE", "VIEW_VALIDATION_REDSHIFT", "VIEW_VALIDATION_ATHENA", "GOOGLEADS", "GOOGLESHEETS", "GOOGLEANALYTICS4", "SERVICENOW", "MARKETO", "SAPODATA", "ZENDESK", "JIRACLOUD", "NETSUITEERP", "HUBSPOT", "FACEBOOKADS", "INSTAGRAMADS", "ZOHOCRM", "SALESFORCEPARDOT", "SALESFORCEMARKETINGCLOUD", "SLACK", "STRIPE", "INTERCOM", "SNAPCHATADS"
resp.connection_list[0].match_criteria #=> Array
resp.connection_list[0].match_criteria[0] #=> String
resp.connection_list[0].connection_properties #=> Hash
resp.connection_list[0].connection_properties["ConnectionPropertyKey"] #=> String
resp.connection_list[0].spark_properties #=> Hash
resp.connection_list[0].spark_properties["PropertyKey"] #=> String
resp.connection_list[0].athena_properties #=> Hash
resp.connection_list[0].athena_properties["PropertyKey"] #=> String
resp.connection_list[0].python_properties #=> Hash
resp.connection_list[0].python_properties["PropertyKey"] #=> String
resp.connection_list[0].physical_connection_requirements.subnet_id #=> String
resp.connection_list[0].physical_connection_requirements.security_group_id_list #=> Array
resp.connection_list[0].physical_connection_requirements.security_group_id_list[0] #=> String
resp.connection_list[0].physical_connection_requirements.availability_zone #=> String
resp.connection_list[0].creation_time #=> Time
resp.connection_list[0].last_updated_time #=> Time
resp.connection_list[0].last_updated_by #=> String
resp.connection_list[0].status #=> String, one of "READY", "IN_PROGRESS", "FAILED"
resp.connection_list[0].status_reason #=> String
resp.connection_list[0].last_connection_validation_time #=> Time
resp.connection_list[0].authentication_configuration.authentication_type #=> String, one of "BASIC", "OAUTH2", "CUSTOM", "IAM"
resp.connection_list[0].authentication_configuration.secret_arn #=> String
resp.connection_list[0].authentication_configuration.o_auth_2_properties.o_auth_2_grant_type #=> String, one of "AUTHORIZATION_CODE", "CLIENT_CREDENTIALS", "JWT_BEARER"
resp.connection_list[0].authentication_configuration.o_auth_2_properties.o_auth_2_client_application.user_managed_client_application_client_id #=> String
resp.connection_list[0].authentication_configuration.o_auth_2_properties.o_auth_2_client_application.aws_managed_client_application_reference #=> String
resp.connection_list[0].authentication_configuration.o_auth_2_properties.token_url #=> String
resp.connection_list[0].authentication_configuration.o_auth_2_properties.token_url_parameters_map #=> Hash
resp.connection_list[0].authentication_configuration.o_auth_2_properties.token_url_parameters_map["TokenUrlParameterKey"] #=> String
resp.connection_list[0].connection_schema_version #=> Integer
resp.connection_list[0].compatible_compute_environments #=> Array
resp.connection_list[0].compatible_compute_environments[0] #=> String, one of "SPARK", "ATHENA", "PYTHON"
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which the connections reside. If none is provided, the Amazon Web Services account ID is used by default.
:filter (Types::GetConnectionsFilter) —
A filter that controls which connections are returned.
:hide_password (Boolean) —
Allows you to retrieve the connection metadata without returning the password. For instance, the Glue console uses this flag to retrieve the connection, and does not display the password. Set this parameter when the caller might not have permission to use the KMS key to decrypt the password, but it does have permission to access the rest of the connection properties.
:next_token (String) —
A continuation token, if this is a continuation call.
:max_results (Integer) —
The maximum number of connections to return in one response.

Returns:

(Types::GetConnectionsResponse) —
Returns a response object which responds to the following methods:
- #connection_list => Array<Types::Connection>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8003

def get_connections(params = {}, options = {})
  req = build_request(:get_connections, params)
  req.send_request(options)
end

#get_crawler(params = {}) ⇒ `Types::GetCrawlerResponse`

Retrieves metadata for a specified crawler.

Examples:

Request syntax with placeholder values


resp = client.get_crawler({
  name: "NameString", # required
})

Response structure


resp.crawler.name #=> String
resp.crawler.role #=> String
resp.crawler.targets.s3_targets #=> Array
resp.crawler.targets.s3_targets[0].path #=> String
resp.crawler.targets.s3_targets[0].exclusions #=> Array
resp.crawler.targets.s3_targets[0].exclusions[0] #=> String
resp.crawler.targets.s3_targets[0].connection_name #=> String
resp.crawler.targets.s3_targets[0].sample_size #=> Integer
resp.crawler.targets.s3_targets[0].event_queue_arn #=> String
resp.crawler.targets.s3_targets[0].dlq_event_queue_arn #=> String
resp.crawler.targets.jdbc_targets #=> Array
resp.crawler.targets.jdbc_targets[0].connection_name #=> String
resp.crawler.targets.jdbc_targets[0].path #=> String
resp.crawler.targets.jdbc_targets[0].exclusions #=> Array
resp.crawler.targets.jdbc_targets[0].exclusions[0] #=> String
resp.crawler.targets.jdbc_targets[0].enable_additional_metadata #=> Array
resp.crawler.targets.jdbc_targets[0].enable_additional_metadata[0] #=> String, one of "COMMENTS", "RAWTYPES"
resp.crawler.targets.mongo_db_targets #=> Array
resp.crawler.targets.mongo_db_targets[0].connection_name #=> String
resp.crawler.targets.mongo_db_targets[0].path #=> String
resp.crawler.targets.mongo_db_targets[0].scan_all #=> Boolean
resp.crawler.targets.dynamo_db_targets #=> Array
resp.crawler.targets.dynamo_db_targets[0].path #=> String
resp.crawler.targets.dynamo_db_targets[0].scan_all #=> Boolean
resp.crawler.targets.dynamo_db_targets[0].scan_rate #=> Float
resp.crawler.targets.catalog_targets #=> Array
resp.crawler.targets.catalog_targets[0].database_name #=> String
resp.crawler.targets.catalog_targets[0].tables #=> Array
resp.crawler.targets.catalog_targets[0].tables[0] #=> String
resp.crawler.targets.catalog_targets[0].connection_name #=> String
resp.crawler.targets.catalog_targets[0].event_queue_arn #=> String
resp.crawler.targets.catalog_targets[0].dlq_event_queue_arn #=> String
resp.crawler.targets.delta_targets #=> Array
resp.crawler.targets.delta_targets[0].delta_tables #=> Array
resp.crawler.targets.delta_targets[0].delta_tables[0] #=> String
resp.crawler.targets.delta_targets[0].connection_name #=> String
resp.crawler.targets.delta_targets[0].write_manifest #=> Boolean
resp.crawler.targets.delta_targets[0].create_native_delta_table #=> Boolean
resp.crawler.targets.iceberg_targets #=> Array
resp.crawler.targets.iceberg_targets[0].paths #=> Array
resp.crawler.targets.iceberg_targets[0].paths[0] #=> String
resp.crawler.targets.iceberg_targets[0].connection_name #=> String
resp.crawler.targets.iceberg_targets[0].exclusions #=> Array
resp.crawler.targets.iceberg_targets[0].exclusions[0] #=> String
resp.crawler.targets.iceberg_targets[0].maximum_traversal_depth #=> Integer
resp.crawler.targets.hudi_targets #=> Array
resp.crawler.targets.hudi_targets[0].paths #=> Array
resp.crawler.targets.hudi_targets[0].paths[0] #=> String
resp.crawler.targets.hudi_targets[0].connection_name #=> String
resp.crawler.targets.hudi_targets[0].exclusions #=> Array
resp.crawler.targets.hudi_targets[0].exclusions[0] #=> String
resp.crawler.targets.hudi_targets[0].maximum_traversal_depth #=> Integer
resp.crawler.database_name #=> String
resp.crawler.description #=> String
resp.crawler.classifiers #=> Array
resp.crawler.classifiers[0] #=> String
resp.crawler.recrawl_policy.recrawl_behavior #=> String, one of "CRAWL_EVERYTHING", "CRAWL_NEW_FOLDERS_ONLY", "CRAWL_EVENT_MODE"
resp.crawler.schema_change_policy.update_behavior #=> String, one of "LOG", "UPDATE_IN_DATABASE"
resp.crawler.schema_change_policy.delete_behavior #=> String, one of "LOG", "DELETE_FROM_DATABASE", "DEPRECATE_IN_DATABASE"
resp.crawler.lineage_configuration.crawler_lineage_settings #=> String, one of "ENABLE", "DISABLE"
resp.crawler.state #=> String, one of "READY", "RUNNING", "STOPPING"
resp.crawler.table_prefix #=> String
resp.crawler.schedule.schedule_expression #=> String
resp.crawler.schedule.state #=> String, one of "SCHEDULED", "NOT_SCHEDULED", "TRANSITIONING"
resp.crawler.crawl_elapsed_time #=> Integer
resp.crawler.creation_time #=> Time
resp.crawler.last_updated #=> Time
resp.crawler.last_crawl.status #=> String, one of "SUCCEEDED", "CANCELLED", "FAILED"
resp.crawler.last_crawl.error_message #=> String
resp.crawler.last_crawl.log_group #=> String
resp.crawler.last_crawl.log_stream #=> String
resp.crawler.last_crawl.message_prefix #=> String
resp.crawler.last_crawl.start_time #=> Time
resp.crawler.version #=> Integer
resp.crawler.configuration #=> String
resp.crawler.crawler_security_configuration #=> String
resp.crawler.lake_formation_configuration.use_lake_formation_credentials #=> Boolean
resp.crawler.lake_formation_configuration.account_id #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the crawler to retrieve metadata for.

Returns:

(Types::GetCrawlerResponse) —
Returns a response object which responds to the following methods:
- #crawler => Types::Crawler

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8108

def get_crawler(params = {}, options = {})
  req = build_request(:get_crawler, params)
  req.send_request(options)
end

#get_crawler_metrics(params = {}) ⇒ `Types::GetCrawlerMetricsResponse`

Retrieves metrics about specified crawlers.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_crawler_metrics({
  crawler_name_list: ["NameString"],
  max_results: 1,
  next_token: "Token",
})

Response structure


resp.crawler_metrics_list #=> Array
resp.crawler_metrics_list[0].crawler_name #=> String
resp.crawler_metrics_list[0].time_left_seconds #=> Float
resp.crawler_metrics_list[0].still_estimating #=> Boolean
resp.crawler_metrics_list[0].last_runtime_seconds #=> Float
resp.crawler_metrics_list[0].median_runtime_seconds #=> Float
resp.crawler_metrics_list[0].tables_created #=> Integer
resp.crawler_metrics_list[0].tables_updated #=> Integer
resp.crawler_metrics_list[0].tables_deleted #=> Integer
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:crawler_name_list (Array<String>) —
A list of the names of crawlers about which to retrieve metrics.
:max_results (Integer) —
The maximum size of a list to return.
:next_token (String) —
A continuation token, if this is a continuation call.

Returns:

(Types::GetCrawlerMetricsResponse) —
Returns a response object which responds to the following methods:
- #crawler_metrics_list => Array<Types::CrawlerMetrics>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8156

def get_crawler_metrics(params = {}, options = {})
  req = build_request(:get_crawler_metrics, params)
  req.send_request(options)
end

#get_crawlers(params = {}) ⇒ `Types::GetCrawlersResponse`

Retrieves metadata for all crawlers defined in the customer account.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_crawlers({
  max_results: 1,
  next_token: "Token",
})

Response structure


resp.crawlers #=> Array
resp.crawlers[0].name #=> String
resp.crawlers[0].role #=> String
resp.crawlers[0].targets.s3_targets #=> Array
resp.crawlers[0].targets.s3_targets[0].path #=> String
resp.crawlers[0].targets.s3_targets[0].exclusions #=> Array
resp.crawlers[0].targets.s3_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.s3_targets[0].connection_name #=> String
resp.crawlers[0].targets.s3_targets[0].sample_size #=> Integer
resp.crawlers[0].targets.s3_targets[0].event_queue_arn #=> String
resp.crawlers[0].targets.s3_targets[0].dlq_event_queue_arn #=> String
resp.crawlers[0].targets.jdbc_targets #=> Array
resp.crawlers[0].targets.jdbc_targets[0].connection_name #=> String
resp.crawlers[0].targets.jdbc_targets[0].path #=> String
resp.crawlers[0].targets.jdbc_targets[0].exclusions #=> Array
resp.crawlers[0].targets.jdbc_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.jdbc_targets[0].enable_additional_metadata #=> Array
resp.crawlers[0].targets.jdbc_targets[0].enable_additional_metadata[0] #=> String, one of "COMMENTS", "RAWTYPES"
resp.crawlers[0].targets.mongo_db_targets #=> Array
resp.crawlers[0].targets.mongo_db_targets[0].connection_name #=> String
resp.crawlers[0].targets.mongo_db_targets[0].path #=> String
resp.crawlers[0].targets.mongo_db_targets[0].scan_all #=> Boolean
resp.crawlers[0].targets.dynamo_db_targets #=> Array
resp.crawlers[0].targets.dynamo_db_targets[0].path #=> String
resp.crawlers[0].targets.dynamo_db_targets[0].scan_all #=> Boolean
resp.crawlers[0].targets.dynamo_db_targets[0].scan_rate #=> Float
resp.crawlers[0].targets.catalog_targets #=> Array
resp.crawlers[0].targets.catalog_targets[0].database_name #=> String
resp.crawlers[0].targets.catalog_targets[0].tables #=> Array
resp.crawlers[0].targets.catalog_targets[0].tables[0] #=> String
resp.crawlers[0].targets.catalog_targets[0].connection_name #=> String
resp.crawlers[0].targets.catalog_targets[0].event_queue_arn #=> String
resp.crawlers[0].targets.catalog_targets[0].dlq_event_queue_arn #=> String
resp.crawlers[0].targets.delta_targets #=> Array
resp.crawlers[0].targets.delta_targets[0].delta_tables #=> Array
resp.crawlers[0].targets.delta_targets[0].delta_tables[0] #=> String
resp.crawlers[0].targets.delta_targets[0].connection_name #=> String
resp.crawlers[0].targets.delta_targets[0].write_manifest #=> Boolean
resp.crawlers[0].targets.delta_targets[0].create_native_delta_table #=> Boolean
resp.crawlers[0].targets.iceberg_targets #=> Array
resp.crawlers[0].targets.iceberg_targets[0].paths #=> Array
resp.crawlers[0].targets.iceberg_targets[0].paths[0] #=> String
resp.crawlers[0].targets.iceberg_targets[0].connection_name #=> String
resp.crawlers[0].targets.iceberg_targets[0].exclusions #=> Array
resp.crawlers[0].targets.iceberg_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.iceberg_targets[0].maximum_traversal_depth #=> Integer
resp.crawlers[0].targets.hudi_targets #=> Array
resp.crawlers[0].targets.hudi_targets[0].paths #=> Array
resp.crawlers[0].targets.hudi_targets[0].paths[0] #=> String
resp.crawlers[0].targets.hudi_targets[0].connection_name #=> String
resp.crawlers[0].targets.hudi_targets[0].exclusions #=> Array
resp.crawlers[0].targets.hudi_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.hudi_targets[0].maximum_traversal_depth #=> Integer
resp.crawlers[0].database_name #=> String
resp.crawlers[0].description #=> String
resp.crawlers[0].classifiers #=> Array
resp.crawlers[0].classifiers[0] #=> String
resp.crawlers[0].recrawl_policy.recrawl_behavior #=> String, one of "CRAWL_EVERYTHING", "CRAWL_NEW_FOLDERS_ONLY", "CRAWL_EVENT_MODE"
resp.crawlers[0].schema_change_policy.update_behavior #=> String, one of "LOG", "UPDATE_IN_DATABASE"
resp.crawlers[0].schema_change_policy.delete_behavior #=> String, one of "LOG", "DELETE_FROM_DATABASE", "DEPRECATE_IN_DATABASE"
resp.crawlers[0].lineage_configuration.crawler_lineage_settings #=> String, one of "ENABLE", "DISABLE"
resp.crawlers[0].state #=> String, one of "READY", "RUNNING", "STOPPING"
resp.crawlers[0].table_prefix #=> String
resp.crawlers[0].schedule.schedule_expression #=> String
resp.crawlers[0].schedule.state #=> String, one of "SCHEDULED", "NOT_SCHEDULED", "TRANSITIONING"
resp.crawlers[0].crawl_elapsed_time #=> Integer
resp.crawlers[0].creation_time #=> Time
resp.crawlers[0].last_updated #=> Time
resp.crawlers[0].last_crawl.status #=> String, one of "SUCCEEDED", "CANCELLED", "FAILED"
resp.crawlers[0].last_crawl.error_message #=> String
resp.crawlers[0].last_crawl.log_group #=> String
resp.crawlers[0].last_crawl.log_stream #=> String
resp.crawlers[0].last_crawl.message_prefix #=> String
resp.crawlers[0].last_crawl.start_time #=> Time
resp.crawlers[0].version #=> Integer
resp.crawlers[0].configuration #=> String
resp.crawlers[0].crawler_security_configuration #=> String
resp.crawlers[0].lake_formation_configuration.use_lake_formation_credentials #=> Boolean
resp.crawlers[0].lake_formation_configuration.account_id #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:max_results (Integer) —
The number of crawlers to return on each call.
:next_token (String) —
A continuation token, if this is a continuation request.

Returns:

(Types::GetCrawlersResponse) —
Returns a response object which responds to the following methods:
- #crawlers => Array<Types::Crawler>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8270

def get_crawlers(params = {}, options = {})
  req = build_request(:get_crawlers, params)
  req.send_request(options)
end

#get_custom_entity_type(params = {}) ⇒ `Types::GetCustomEntityTypeResponse`

Retrieves the details of a custom pattern by specifying its name.

Examples:

Request syntax with placeholder values


resp = client.get_custom_entity_type({
  name: "NameString", # required
})

Response structure


resp.name #=> String
resp.regex_string #=> String
resp.context_words #=> Array
resp.context_words[0] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the custom pattern that you want to retrieve.

Returns:

(Types::GetCustomEntityTypeResponse) —
Returns a response object which responds to the following methods:
- #name => String
- #regex_string => String
- #context_words => Array<String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8303

def get_custom_entity_type(params = {}, options = {})
  req = build_request(:get_custom_entity_type, params)
  req.send_request(options)
end

#get_data_catalog_encryption_settings(params = {}) ⇒ `Types::GetDataCatalogEncryptionSettingsResponse`

Retrieves the security configuration for a specified catalog.

Examples:

Request syntax with placeholder values


resp = client.get_data_catalog_encryption_settings({
  catalog_id: "CatalogIdString",
})

Response structure


resp.data_catalog_encryption_settings.encryption_at_rest.catalog_encryption_mode #=> String, one of "DISABLED", "SSE-KMS", "SSE-KMS-WITH-SERVICE-ROLE"
resp.data_catalog_encryption_settings.encryption_at_rest.sse_aws_kms_key_id #=> String
resp.data_catalog_encryption_settings.encryption_at_rest.catalog_encryption_service_role #=> String
resp.data_catalog_encryption_settings.connection_password_encryption.return_connection_password_encrypted #=> Boolean
resp.data_catalog_encryption_settings.connection_password_encryption.aws_kms_key_id #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog to retrieve the security configuration for. If none is provided, the Amazon Web Services account ID is used by default.

Returns:

(Types::GetDataCatalogEncryptionSettingsResponse) —
Returns a response object which responds to the following methods:
- #data_catalog_encryption_settings => Types::DataCatalogEncryptionSettings

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8337

def get_data_catalog_encryption_settings(params = {}, options = {})
  req = build_request(:get_data_catalog_encryption_settings, params)
  req.send_request(options)
end

#get_data_quality_model(params = {}) ⇒ `Types::GetDataQualityModelResponse`

Retrieve the training status of the model along with more information (CompletedOn, StartedOn, FailureReason).

Examples:

Request syntax with placeholder values


resp = client.get_data_quality_model({
  statistic_id: "HashString",
  profile_id: "HashString", # required
})

Response structure


resp.status #=> String, one of "RUNNING", "SUCCEEDED", "FAILED"
resp.started_on #=> Time
resp.completed_on #=> Time
resp.failure_reason #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:statistic_id (String) —
The Statistic ID.
:profile_id (required, String) —
The Profile ID.

Returns:

(Types::GetDataQualityModelResponse) —
Returns a response object which responds to the following methods:
- #status => String
- #started_on => Time
- #completed_on => Time
- #failure_reason => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8376

def get_data_quality_model(params = {}, options = {})
  req = build_request(:get_data_quality_model, params)
  req.send_request(options)
end

#get_data_quality_model_result(params = {}) ⇒ `Types::GetDataQualityModelResultResponse`

Retrieve a statistic's predictions for a given Profile ID.

Examples:

Request syntax with placeholder values


resp = client.get_data_quality_model_result({
  statistic_id: "HashString", # required
  profile_id: "HashString", # required
})

Response structure


resp.completed_on #=> Time
resp.model #=> Array
resp.model[0].lower_bound #=> Float
resp.model[0].upper_bound #=> Float
resp.model[0].predicted_value #=> Float
resp.model[0].actual_value #=> Float
resp.model[0].date #=> Time
resp.model[0].inclusion_annotation #=> String, one of "INCLUDE", "EXCLUDE"

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:statistic_id (required, String) —
The Statistic ID.
:profile_id (required, String) —
The Profile ID.

Returns:

(Types::GetDataQualityModelResultResponse) —
Returns a response object which responds to the following methods:
- #completed_on => Time
- #model => Array<Types::StatisticModelResult>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8416

def get_data_quality_model_result(params = {}, options = {})
  req = build_request(:get_data_quality_model_result, params)
  req.send_request(options)
end

#get_data_quality_result(params = {}) ⇒ `Types::GetDataQualityResultResponse`

Retrieves the result of a data quality rule evaluation.

Examples:

Request syntax with placeholder values


resp = client.get_data_quality_result({
  result_id: "HashString", # required
})

Response structure


resp.result_id #=> String
resp.profile_id #=> String
resp.score #=> Float
resp.data_source.glue_table.database_name #=> String
resp.data_source.glue_table.table_name #=> String
resp.data_source.glue_table.catalog_id #=> String
resp.data_source.glue_table.connection_name #=> String
resp.data_source.glue_table.additional_options #=> Hash
resp.data_source.glue_table.additional_options["NameString"] #=> String
resp.ruleset_name #=> String
resp.evaluation_context #=> String
resp.started_on #=> Time
resp.completed_on #=> Time
resp.job_name #=> String
resp.job_run_id #=> String
resp.ruleset_evaluation_run_id #=> String
resp.rule_results #=> Array
resp.rule_results[0].name #=> String
resp.rule_results[0].description #=> String
resp.rule_results[0].evaluation_message #=> String
resp.rule_results[0].result #=> String, one of "PASS", "FAIL", "ERROR"
resp.rule_results[0].evaluated_metrics #=> Hash
resp.rule_results[0].evaluated_metrics["NameString"] #=> Float
resp.rule_results[0].evaluated_rule #=> String
resp.rule_results[0].rule_metrics #=> Hash
resp.rule_results[0].rule_metrics["NameString"] #=> Float
resp.analyzer_results #=> Array
resp.analyzer_results[0].name #=> String
resp.analyzer_results[0].description #=> String
resp.analyzer_results[0].evaluation_message #=> String
resp.analyzer_results[0].evaluated_metrics #=> Hash
resp.analyzer_results[0].evaluated_metrics["NameString"] #=> Float
resp.observations #=> Array
resp.observations[0].description #=> String
resp.observations[0].metric_based_observation.metric_name #=> String
resp.observations[0].metric_based_observation.statistic_id #=> String
resp.observations[0].metric_based_observation.metric_values.actual_value #=> Float
resp.observations[0].metric_based_observation.metric_values.expected_value #=> Float
resp.observations[0].metric_based_observation.metric_values.lower_limit #=> Float
resp.observations[0].metric_based_observation.metric_values.upper_limit #=> Float
resp.observations[0].metric_based_observation.new_rules #=> Array
resp.observations[0].metric_based_observation.new_rules[0] #=> String
resp.aggregated_metrics.total_rows_processed #=> Float
resp.aggregated_metrics.total_rows_passed #=> Float
resp.aggregated_metrics.total_rows_failed #=> Float
resp.aggregated_metrics.total_rules_processed #=> Float
resp.aggregated_metrics.total_rules_passed #=> Float
resp.aggregated_metrics.total_rules_failed #=> Float

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:result_id (required, String) —
A unique result ID for the data quality result.

Returns:

(Types::GetDataQualityResultResponse) —
Returns a response object which responds to the following methods:
- #result_id => String
- #profile_id => String
- #score => Float
- #data_source => Types::DataSource
- #ruleset_name => String
- #evaluation_context => String
- #started_on => Time
- #completed_on => Time
- #job_name => String
- #job_run_id => String
- #ruleset_evaluation_run_id => String
- #rule_results => Array<Types::DataQualityRuleResult>
- #analyzer_results => Array<Types::DataQualityAnalyzerResult>
- #observations => Array<Types::DataQualityObservation>
- #aggregated_metrics => Types::DataQualityAggregatedMetrics

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8505

def get_data_quality_result(params = {}, options = {})
  req = build_request(:get_data_quality_result, params)
  req.send_request(options)
end

#get_data_quality_rule_recommendation_run(params = {}) ⇒ `Types::GetDataQualityRuleRecommendationRunResponse`

Gets the specified recommendation run that was used to generate rules.

Examples:

Request syntax with placeholder values


resp = client.get_data_quality_rule_recommendation_run({
  run_id: "HashString", # required
})

Response structure


resp.run_id #=> String
resp.data_source.glue_table.database_name #=> String
resp.data_source.glue_table.table_name #=> String
resp.data_source.glue_table.catalog_id #=> String
resp.data_source.glue_table.connection_name #=> String
resp.data_source.glue_table.additional_options #=> Hash
resp.data_source.glue_table.additional_options["NameString"] #=> String
resp.role #=> String
resp.number_of_workers #=> Integer
resp.timeout #=> Integer
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.error_string #=> String
resp.started_on #=> Time
resp.last_modified_on #=> Time
resp.completed_on #=> Time
resp.execution_time #=> Integer
resp.recommended_ruleset #=> String
resp.created_ruleset_name #=> String
resp.data_quality_security_configuration #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:run_id (required, String) —
The unique run identifier associated with this run.

Returns:

(Types::GetDataQualityRuleRecommendationRunResponse) —
Returns a response object which responds to the following methods:
- #run_id => String
- #data_source => Types::DataSource
- #role => String
- #number_of_workers => Integer
- #timeout => Integer
- #status => String
- #error_string => String
- #started_on => Time
- #last_modified_on => Time
- #completed_on => Time
- #execution_time => Integer
- #recommended_ruleset => String
- #created_ruleset_name => String
- #data_quality_security_configuration => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8564

def get_data_quality_rule_recommendation_run(params = {}, options = {})
  req = build_request(:get_data_quality_rule_recommendation_run, params)
  req.send_request(options)
end

#get_data_quality_ruleset(params = {}) ⇒ `Types::GetDataQualityRulesetResponse`

Returns an existing ruleset by identifier or name.

Examples:

Request syntax with placeholder values


resp = client.get_data_quality_ruleset({
  name: "NameString", # required
})

Response structure


resp.name #=> String
resp.description #=> String
resp.ruleset #=> String
resp.target_table.table_name #=> String
resp.target_table.database_name #=> String
resp.target_table.catalog_id #=> String
resp.created_on #=> Time
resp.last_modified_on #=> Time
resp.recommendation_run_id #=> String
resp.data_quality_security_configuration #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the ruleset.

Returns:

(Types::GetDataQualityRulesetResponse) —
Returns a response object which responds to the following methods:
- #name => String
- #description => String
- #ruleset => String
- #target_table => Types::DataQualityTargetTable
- #created_on => Time
- #last_modified_on => Time
- #recommendation_run_id => String
- #data_quality_security_configuration => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8608

def get_data_quality_ruleset(params = {}, options = {})
  req = build_request(:get_data_quality_ruleset, params)
  req.send_request(options)
end

#get_data_quality_ruleset_evaluation_run(params = {}) ⇒ `Types::GetDataQualityRulesetEvaluationRunResponse`

Retrieves a specific run where a ruleset is evaluated against a data source.

Examples:

Request syntax with placeholder values


resp = client.get_data_quality_ruleset_evaluation_run({
  run_id: "HashString", # required
})

Response structure


resp.run_id #=> String
resp.data_source.glue_table.database_name #=> String
resp.data_source.glue_table.table_name #=> String
resp.data_source.glue_table.catalog_id #=> String
resp.data_source.glue_table.connection_name #=> String
resp.data_source.glue_table.additional_options #=> Hash
resp.data_source.glue_table.additional_options["NameString"] #=> String
resp.role #=> String
resp.number_of_workers #=> Integer
resp.timeout #=> Integer
resp.additional_run_options.cloud_watch_metrics_enabled #=> Boolean
resp.additional_run_options.results_s3_prefix #=> String
resp.additional_run_options.composite_rule_evaluation_method #=> String, one of "COLUMN", "ROW"
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.error_string #=> String
resp.started_on #=> Time
resp.last_modified_on #=> Time
resp.completed_on #=> Time
resp.execution_time #=> Integer
resp.ruleset_names #=> Array
resp.ruleset_names[0] #=> String
resp.result_ids #=> Array
resp.result_ids[0] #=> String
resp.additional_data_sources #=> Hash
resp.additional_data_sources["NameString"].glue_table.database_name #=> String
resp.additional_data_sources["NameString"].glue_table.table_name #=> String
resp.additional_data_sources["NameString"].glue_table.catalog_id #=> String
resp.additional_data_sources["NameString"].glue_table.connection_name #=> String
resp.additional_data_sources["NameString"].glue_table.additional_options #=> Hash
resp.additional_data_sources["NameString"].glue_table.additional_options["NameString"] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:run_id (required, String) —
The unique run identifier associated with this run.

Returns:

(Types::GetDataQualityRulesetEvaluationRunResponse) —
Returns a response object which responds to the following methods:
- #run_id => String
- #data_source => Types::DataSource
- #role => String
- #number_of_workers => Integer
- #timeout => Integer
- #additional_run_options => Types::DataQualityEvaluationRunAdditionalRunOptions
- #status => String
- #error_string => String
- #started_on => Time
- #last_modified_on => Time
- #completed_on => Time
- #execution_time => Integer
- #ruleset_names => Array<String>
- #result_ids => Array<String>
- #additional_data_sources => Hash<String,Types::DataSource>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8680

def get_data_quality_ruleset_evaluation_run(params = {}, options = {})
  req = build_request(:get_data_quality_ruleset_evaluation_run, params)
  req.send_request(options)
end

#get_database(params = {}) ⇒ `Types::GetDatabaseResponse`

Retrieves the definition of a specified database.

Examples:

Request syntax with placeholder values


resp = client.get_database({
  catalog_id: "CatalogIdString",
  name: "NameString", # required
})

Response structure


resp.database.name #=> String
resp.database.description #=> String
resp.database.location_uri #=> String
resp.database.parameters #=> Hash
resp.database.parameters["KeyString"] #=> String
resp.database.create_time #=> Time
resp.database.create_table_default_permissions #=> Array
resp.database.create_table_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.database.create_table_default_permissions[0].permissions #=> Array
resp.database.create_table_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.database.target_database.catalog_id #=> String
resp.database.target_database.database_name #=> String
resp.database.target_database.region #=> String
resp.database.catalog_id #=> String
resp.database.federated_database.identifier #=> String
resp.database.federated_database.connection_name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog in which the database resides. If none is provided, the Amazon Web Services account ID is used by default.
:name (required, String) —
The name of the database to retrieve. For Hive compatibility, this should be all lowercase.

Returns:

(Types::GetDatabaseResponse) —
Returns a response object which responds to the following methods:
- #database => Types::Database

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8729

def get_database(params = {}, options = {})
  req = build_request(:get_database, params)
  req.send_request(options)
end

#get_databases(params = {}) ⇒ `Types::GetDatabasesResponse`

Retrieves all databases defined in a given Data Catalog.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_databases({
  catalog_id: "CatalogIdString",
  next_token: "Token",
  max_results: 1,
  resource_share_type: "FOREIGN", # accepts FOREIGN, ALL, FEDERATED
  attributes_to_get: ["NAME"], # accepts NAME
})

Response structure


resp.database_list #=> Array
resp.database_list[0].name #=> String
resp.database_list[0].description #=> String
resp.database_list[0].location_uri #=> String
resp.database_list[0].parameters #=> Hash
resp.database_list[0].parameters["KeyString"] #=> String
resp.database_list[0].create_time #=> Time
resp.database_list[0].create_table_default_permissions #=> Array
resp.database_list[0].create_table_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.database_list[0].create_table_default_permissions[0].permissions #=> Array
resp.database_list[0].create_table_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.database_list[0].target_database.catalog_id #=> String
resp.database_list[0].target_database.database_name #=> String
resp.database_list[0].target_database.region #=> String
resp.database_list[0].catalog_id #=> String
resp.database_list[0].federated_database.identifier #=> String
resp.database_list[0].federated_database.connection_name #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog from which to retrieve Databases. If none is provided, the Amazon Web Services account ID is used by default.
:next_token (String) —
A continuation token, if this is a continuation call.
:max_results (Integer) —
The maximum number of databases to return in one response.
:resource_share_type (String) —
Allows you to specify that you want to list the databases shared with your account. The allowable values are FEDERATED, FOREIGN or ALL.
- If set to FEDERATED, will list the federated databases (referencing an external entity) shared with your account.
- If set to FOREIGN, will list the databases shared with your account.
- If set to ALL, will list the databases shared with your account, as well as the databases in yor local account.
:attributes_to_get (Array<String>) —
Specifies the database fields returned by the GetDatabases call. This parameter doesn’t accept an empty list. The request must include the NAME.

Returns:

(Types::GetDatabasesResponse) —
Returns a response object which responds to the following methods:
- #database_list => Array<Types::Database>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8807

def get_databases(params = {}, options = {})
  req = build_request(:get_databases, params)
  req.send_request(options)
end

#get_dataflow_graph(params = {}) ⇒ `Types::GetDataflowGraphResponse`

Transforms a Python script into a directed acyclic graph (DAG).

Examples:

Request syntax with placeholder values


resp = client.get_dataflow_graph({
  python_script: "PythonScript",
})

Response structure


resp.dag_nodes #=> Array
resp.dag_nodes[0].id #=> String
resp.dag_nodes[0].node_type #=> String
resp.dag_nodes[0].args #=> Array
resp.dag_nodes[0].args[0].name #=> String
resp.dag_nodes[0].args[0].value #=> String
resp.dag_nodes[0].args[0].param #=> Boolean
resp.dag_nodes[0].line_number #=> Integer
resp.dag_edges #=> Array
resp.dag_edges[0].source #=> String
resp.dag_edges[0].target #=> String
resp.dag_edges[0].target_parameter #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:python_script (String) —
The Python script to transform.

Returns:

(Types::GetDataflowGraphResponse) —
Returns a response object which responds to the following methods:
- #dag_nodes => Array<Types::CodeGenNode>
- #dag_edges => Array<Types::CodeGenEdge>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8847

def get_dataflow_graph(params = {}, options = {})
  req = build_request(:get_dataflow_graph, params)
  req.send_request(options)
end

#get_dev_endpoint(params = {}) ⇒ `Types::GetDevEndpointResponse`

Retrieves information about a specified development endpoint.

When you create a development endpoint in a virtual private cloud (VPC), Glue returns only a private IP address, and the public IP address field is not populated. When you create a non-VPC development endpoint, Glue returns only a public IP address.

Examples:

Request syntax with placeholder values


resp = client.get_dev_endpoint({
  endpoint_name: "GenericString", # required
})

Response structure


resp.dev_endpoint.endpoint_name #=> String
resp.dev_endpoint.role_arn #=> String
resp.dev_endpoint.security_group_ids #=> Array
resp.dev_endpoint.security_group_ids[0] #=> String
resp.dev_endpoint.subnet_id #=> String
resp.dev_endpoint.yarn_endpoint_address #=> String
resp.dev_endpoint.private_address #=> String
resp.dev_endpoint.zeppelin_remote_spark_interpreter_port #=> Integer
resp.dev_endpoint.public_address #=> String
resp.dev_endpoint.status #=> String
resp.dev_endpoint.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.dev_endpoint.glue_version #=> String
resp.dev_endpoint.number_of_workers #=> Integer
resp.dev_endpoint.number_of_nodes #=> Integer
resp.dev_endpoint.availability_zone #=> String
resp.dev_endpoint.vpc_id #=> String
resp.dev_endpoint.extra_python_libs_s3_path #=> String
resp.dev_endpoint.extra_jars_s3_path #=> String
resp.dev_endpoint.failure_reason #=> String
resp.dev_endpoint.last_update_status #=> String
resp.dev_endpoint.created_timestamp #=> Time
resp.dev_endpoint.last_modified_timestamp #=> Time
resp.dev_endpoint.public_key #=> String
resp.dev_endpoint.public_keys #=> Array
resp.dev_endpoint.public_keys[0] #=> String
resp.dev_endpoint.security_configuration #=> String
resp.dev_endpoint.arguments #=> Hash
resp.dev_endpoint.arguments["GenericString"] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:endpoint_name (required, String) —
Name of the DevEndpoint to retrieve information for.

Returns:

(Types::GetDevEndpointResponse) —
Returns a response object which responds to the following methods:
- #dev_endpoint => Types::DevEndpoint

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8909

def get_dev_endpoint(params = {}, options = {})
  req = build_request(:get_dev_endpoint, params)
  req.send_request(options)
end

#get_dev_endpoints(params = {}) ⇒ `Types::GetDevEndpointsResponse`

Retrieves all the development endpoints in this Amazon Web Services account.

When you create a development endpoint in a virtual private cloud (VPC), Glue returns only a private IP address and the public IP address field is not populated. When you create a non-VPC development endpoint, Glue returns only a public IP address.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_dev_endpoints({
  max_results: 1,
  next_token: "GenericString",
})

Response structure


resp.dev_endpoints #=> Array
resp.dev_endpoints[0].endpoint_name #=> String
resp.dev_endpoints[0].role_arn #=> String
resp.dev_endpoints[0].security_group_ids #=> Array
resp.dev_endpoints[0].security_group_ids[0] #=> String
resp.dev_endpoints[0].subnet_id #=> String
resp.dev_endpoints[0].yarn_endpoint_address #=> String
resp.dev_endpoints[0].private_address #=> String
resp.dev_endpoints[0].zeppelin_remote_spark_interpreter_port #=> Integer
resp.dev_endpoints[0].public_address #=> String
resp.dev_endpoints[0].status #=> String
resp.dev_endpoints[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.dev_endpoints[0].glue_version #=> String
resp.dev_endpoints[0].number_of_workers #=> Integer
resp.dev_endpoints[0].number_of_nodes #=> Integer
resp.dev_endpoints[0].availability_zone #=> String
resp.dev_endpoints[0].vpc_id #=> String
resp.dev_endpoints[0].extra_python_libs_s3_path #=> String
resp.dev_endpoints[0].extra_jars_s3_path #=> String
resp.dev_endpoints[0].failure_reason #=> String
resp.dev_endpoints[0].last_update_status #=> String
resp.dev_endpoints[0].created_timestamp #=> Time
resp.dev_endpoints[0].last_modified_timestamp #=> Time
resp.dev_endpoints[0].public_key #=> String
resp.dev_endpoints[0].public_keys #=> Array
resp.dev_endpoints[0].public_keys[0] #=> String
resp.dev_endpoints[0].security_configuration #=> String
resp.dev_endpoints[0].arguments #=> Hash
resp.dev_endpoints[0].arguments["GenericString"] #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:max_results (Integer) —
The maximum size of information to return.
:next_token (String) —
A continuation token, if this is a continuation call.

Returns:

(Types::GetDevEndpointsResponse) —
Returns a response object which responds to the following methods:
- #dev_endpoints => Array<Types::DevEndpoint>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 8981

def get_dev_endpoints(params = {}, options = {})
  req = build_request(:get_dev_endpoints, params)
  req.send_request(options)
end

#get_entity_records(params = {}) ⇒ `Types::GetEntityRecordsResponse`

This API is used to query preview data from a given connection type or from a native Amazon S3 based Glue Data Catalog.

Returns records as an array of JSON blobs. Each record is formatted using Jackson JsonNode based on the field type defined by the DescribeEntity API.

Spark connectors generate schemas according to the same data type mapping as in the DescribeEntity API. Spark connectors convert data to the appropriate data types matching the schema when returning rows.

Examples:

Request syntax with placeholder values


resp = client.get_entity_records({
  connection_name: "NameString",
  catalog_id: "CatalogIdString",
  entity_name: "EntityName", # required
  next_token: "NextToken",
  data_store_api_version: "ApiVersion",
  connection_options: {
    "OptionKey" => "OptionValue",
  },
  filter_predicate: "FilterPredicate",
  limit: 1, # required
  order_by: "String",
  selected_fields: ["EntityFieldName"],
})

Response structure


resp.records #=> Array
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:connection_name (String) —
The name of the connection that contains the connection type credentials.
:catalog_id (String) —
The catalog ID of the catalog that contains the connection. This can be null, By default, the Amazon Web Services Account ID is the catalog ID.
:entity_name (required, String) —
Name of the entity that we want to query the preview data from the given connection type.
:next_token (String) —
A continuation token, included if this is a continuation call.
:data_store_api_version (String) —
The API version of the SaaS connector.
:connection_options (Hash<String,String>) —
Connector options that are required to query the data.
:filter_predicate (String) —
A filter predicate that you can apply in the query request.
:limit (required, Integer) —
Limits the number of records fetched with the request.
:order_by (String) —
A parameter that orders the response preview data.
:selected_fields (Array<String>) —
List of fields that we want to fetch as part of preview data.

Returns:

(Types::GetEntityRecordsResponse) —
Returns a response object which responds to the following methods:
- #records => Array<Hash,Array,String,Numeric,Boolean>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 9062

def get_entity_records(params = {}, options = {})
  req = build_request(:get_entity_records, params)
  req.send_request(options)
end

#get_integration_resource_property(params = {}) ⇒ `Types::GetIntegrationResourcePropertyResponse`

This API is used for fetching the ResourceProperty of the Glue connection (for the source) or Glue database ARN (for the target)

Examples:

Request syntax with placeholder values


resp = client.get_integration_resource_property({
  resource_arn: "String128", # required
})

Response structure


resp.resource_arn #=> String
resp.source_processing_properties.role_arn #=> String
resp.target_processing_properties.role_arn #=> String
resp.target_processing_properties.kms_arn #=> String
resp.target_processing_properties.connection_name #=> String
resp.target_processing_properties.event_bus_arn #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:resource_arn (required, String) —
The connection ARN of the source, or the database ARN of the target.

Returns:

(Types::GetIntegrationResourcePropertyResponse) —
Returns a response object which responds to the following methods:
- #resource_arn => String
- #source_processing_properties => Types::SourceProcessingProperties
- #target_processing_properties => Types::TargetProcessingProperties

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 9098

def get_integration_resource_property(params = {}, options = {})
  req = build_request(:get_integration_resource_property, params)
  req.send_request(options)
end

#get_integration_table_properties(params = {}) ⇒ `Types::GetIntegrationTablePropertiesResponse`

This API is used to retrieve optional override properties for the tables that need to be replicated. These properties can include properties for filtering and partition for source and target tables.

Examples:

Request syntax with placeholder values


resp = client.get_integration_table_properties({
  resource_arn: "String128", # required
  table_name: "String128", # required
})

Response structure


resp.resource_arn #=> String
resp.table_name #=> String
resp.source_table_config.fields #=> Array
resp.source_table_config.fields[0] #=> String
resp.source_table_config.filter_predicate #=> String
resp.source_table_config.primary_key #=> Array
resp.source_table_config.primary_key[0] #=> String
resp.source_table_config.record_update_field #=> String
resp.target_table_config.unnest_spec #=> String, one of "TOPLEVEL", "FULL", "NOUNNEST"
resp.target_table_config.partition_spec #=> Array
resp.target_table_config.partition_spec[0].field_name #=> String
resp.target_table_config.partition_spec[0].function_spec #=> String
resp.target_table_config.partition_spec[0].conversion_spec #=> String
resp.target_table_config.target_table_name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:resource_arn (required, String) —
The Amazon Resource Name (ARN) of the target table for which to retrieve integration table properties. Currently, this API only supports retrieving properties for target tables, and the provided ARN should be the ARN of the target table in the Glue Data Catalog. Support for retrieving integration table properties for source connections (using the connection ARN) is not yet implemented and will be added in a future release.
:table_name (required, String) —
The name of the table to be replicated.

Returns:

(Types::GetIntegrationTablePropertiesResponse) —
Returns a response object which responds to the following methods:
- #resource_arn => String
- #table_name => String
- #source_table_config => Types::SourceTableConfig
- #target_table_config => Types::TargetTableConfig

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 9154

def get_integration_table_properties(params = {}, options = {})
  req = build_request(:get_integration_table_properties, params)
  req.send_request(options)
end

#get_job(params = {}) ⇒ `Types::GetJobResponse`

Retrieves an existing job definition.

Examples:

Request syntax with placeholder values


resp = client.get_job({
  job_name: "NameString", # required
})

Response structure


resp.job.name #=> String
resp.job.job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.job.job_run_queuing_enabled #=> Boolean
resp.job.description #=> String
resp.job.log_uri #=> String
resp.job.role #=> String
resp.job.created_on #=> Time
resp.job.last_modified_on #=> Time
resp.job.execution_property.max_concurrent_runs #=> Integer
resp.job.command.name #=> String
resp.job.command.script_location #=> String
resp.job.command.python_version #=> String
resp.job.command.runtime #=> String
resp.job.default_arguments #=> Hash
resp.job.default_arguments["GenericString"] #=> String
resp.job.non_overridable_arguments #=> Hash
resp.job.non_overridable_arguments["GenericString"] #=> String
resp.job.connections.connections #=> Array
resp.job.connections.connections[0] #=> String
resp.job.max_retries #=> Integer
resp.job.allocated_capacity #=> Integer
resp.job.timeout #=> Integer
resp.job.max_capacity #=> Float
resp.job.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.job.number_of_workers #=> Integer
resp.job.security_configuration #=> String
resp.job.notification_property.notify_delay_after #=> Integer
resp.job.glue_version #=> String
resp.job.code_gen_configuration_nodes #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.schema_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.filter_predicate #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.partition_column #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.lower_bound #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.upper_bound #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.num_partitions #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys_sort_order #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping["JDBCDataType"] #=> String, one of "DATE", "STRING", "TIMESTAMP", "INT", "FLOAT", "LONG", "BIGDECIMAL", "BYTE", "SHORT", "DOUBLE"
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.redshift_tmp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_source.tmp_dir_iam_role #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.partition_predicate #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.compression_type #=> String, one of "gzip", "bzip2"
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.group_size #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.group_files #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.recurse #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.max_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.max_files_in_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.separator #=> String, one of "comma", "ctrla", "pipe", "semicolon", "tab"
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.escaper #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.quote_char #=> String, one of "quote", "quillemet", "single_quote", "disabled"
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.multiline #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.with_header #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.write_header #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.skip_first #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.optimize_performance #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.exclusions #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.exclusions[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.group_size #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.group_files #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.recurse #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.max_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.max_files_in_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.number_rows #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.skip_footer #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.compression_type #=> String, one of "gzip", "bzip2"
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.group_size #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.group_files #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.recurse #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.max_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.max_files_in_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.json_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.multiline #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_size #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_files #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.recurse #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_files_in_band #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].relational_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].relational_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].relational_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.connector_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.redshift_tmp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.tmp_dir_iam_role #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.table_location #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.compression #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.number_target_partitions #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.compression #=> String, one of "uncompressed"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.compression #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.number_target_partitions #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.job.code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.number_target_partitions #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_key #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].dropped #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].children #=> Types::Mappings
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.paths[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].select_fields.paths[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.paths[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_fields.paths[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.source_path #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.source_path[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.target_path #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].rename_field.target_path[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spigot.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spigot.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spigot.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spigot.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spigot.topk #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].spigot.prob #=> Float
resp.job.code_gen_configuration_nodes["NodeId"].join.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].join.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].join.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].join.join_type #=> String, one of "equijoin", "left", "right", "outer", "leftsemi", "leftanti"
resp.job.code_gen_configuration_nodes["NodeId"].join.columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].join.columns[0].from #=> String
resp.job.code_gen_configuration_nodes["NodeId"].join.columns[0].keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.paths[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].split_fields.paths[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_from_collection.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_from_collection.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].select_from_collection.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].select_from_collection.index #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.imputed_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].fill_missing_values.filled_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].filter.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].filter.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].filter.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].filter.logical_operator #=> String, one of "AND", "OR"
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].operation #=> String, one of "EQ", "LT", "GT", "LTE", "GTE", "REGEX", "ISNULL"
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].negated #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].values #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].type #=> String, one of "COLUMNEXTRACTED", "CONSTANT"
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.code #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.class_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.sql_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].from #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].alias #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.window_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.detect_schema #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.endpoint_url #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.classification #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.delimiter #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.num_retries #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_session_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.polling_time #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.bootstrap_servers #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.security_protocol #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.topic_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.assign #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.subscribe_pattern #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.classification #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.delimiter #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_offsets #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.ending_offsets #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.num_retries #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.min_partitions #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.include_headers #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.add_record_timestamp #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_timestamp #=> Time
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.window_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.detect_schema #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.polling_time #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.window_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.detect_schema #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.endpoint_url #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.classification #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.delimiter #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.num_retries #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_session_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.polling_time #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.window_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.detect_schema #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.bootstrap_servers #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.security_protocol #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.topic_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.assign #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.subscribe_pattern #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.classification #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.delimiter #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_offsets #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.ending_offsets #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.num_retries #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.min_partitions #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.include_headers #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.add_record_timestamp #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_timestamp #=> Time
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.polling_time #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_empty #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_null_string #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_neg_one #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.id #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].merge.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].merge.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].merge.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].merge.source #=> String
resp.job.code_gen_configuration_nodes["NodeId"].merge.primary_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].merge.primary_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].merge.primary_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].union.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].union.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].union.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].union.union_type #=> String, one of "ALL", "DISTINCT"
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.pii_type #=> String, one of "RowAudit", "RowMasking", "ColumnAudit", "ColumnMasking"
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.output_column_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.sample_fraction #=> Float
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.threshold_fraction #=> Float
resp.job.code_gen_configuration_nodes["NodeId"].pii_detection.mask_value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.groups #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.groups[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.groups[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.aggs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].agg_func #=> String, one of "avg", "countDistinct", "count", "first", "last", "kurtosis", "max", "min", "skewness", "stddev_samp", "stddev_pop", "sum", "sumDistinct", "var_samp", "var_pop"
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.partition_predicate #=> String
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.transform_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_rule #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_message #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].list_type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].is_optional #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.function_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.version #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.ruleset #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.output #=> String, one of "PrimaryInput", "EvaluationResults"
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.evaluation_context #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_s3_prefix #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_publishing_enabled #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.number_target_partitions #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_type #=> String, one of "sqlserver", "mysql", "oracle", "postgresql", "redshift"
resp.job.code_gen_configuration_nodes["NodeId"].direct_jdbc_source.redshift_tmp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.paths #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.paths[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_size #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_files #=> Integer
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.enable_sample_path #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.sample_path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0] #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0][0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.path #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.compression #=> String, one of "uncompressed", "snappy"
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.number_target_partitions #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.access_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.source_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_schema #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.temp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].key #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.sample_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.pre_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.post_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_prefix #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.upsert #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_not_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_clause #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.crawler_connection #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.staging_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.access_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.source_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_schema #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.temp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].key #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.sample_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.pre_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.post_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_prefix #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.upsert #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_not_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_clause #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.crawler_connection #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.staging_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources["NodeName"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.ruleset #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.evaluation_context #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_s3_prefix #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_publishing_enabled #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options["AdditionalOptionKeys"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.job.code_gen_configuration_nodes["NodeId"].recipe.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].recipe.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_arn #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_version #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_steps #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.operation #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.parameters #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.parameters["ParameterName"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].condition #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].target_column #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.source_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.schema #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.temp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.sample_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.pre_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.post_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.upsert #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_not_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_clause #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.staging_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.auto_pushdown #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.source_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.schema #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.database #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.temp_dir #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options["EnclosedInStringProperty"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.sample_query #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.pre_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.post_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.upsert #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_action #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_not_matched #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_clause #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.staging_table #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.auto_pushdown #=> Boolean
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].value #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].label #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].description #=> String
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].snowflake_target.inputs[0] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.data #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.data["GenericString"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.name #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.connection_type #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.data #=> Hash
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.data["GenericString"] #=> String
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.inputs #=> Array
resp.job.code_gen_configuration_nodes["NodeId"].connector_data_target.inputs[0] #=> String
resp.job.execution_class #=> String, one of "FLEX", "STANDARD"
resp.job.source_control_details.provider #=> String, one of "GITHUB", "GITLAB", "BITBUCKET", "AWS_CODE_COMMIT"
resp.job.source_control_details.repository #=> String
resp.job.source_control_details.owner #=> String
resp.job.source_control_details.branch #=> String
resp.job.source_control_details.folder #=> String
resp.job.source_control_details.last_commit_id #=> String
resp.job.source_control_details.auth_strategy #=> String, one of "PERSONAL_ACCESS_TOKEN", "AWS_SECRETS_MANAGER"
resp.job.source_control_details.auth_token #=> String
resp.job.maintenance_window #=> String
resp.job.profile_name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:job_name (required, String) —
The name of the job definition to retrieve.

Returns:

(Types::GetJobResponse) —
Returns a response object which responds to the following methods:
- #job => Types::Job

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 10130

def get_job(params = {}, options = {})
  req = build_request(:get_job, params)
  req.send_request(options)
end

#get_job_bookmark(params = {}) ⇒ `Types::GetJobBookmarkResponse`

Returns information on a job bookmark entry.

For more information about enabling and using job bookmarks, see:

Examples:

Request syntax with placeholder values


resp = client.get_job_bookmark({
  job_name: "JobName", # required
  run_id: "RunId",
})

Response structure


resp.job_bookmark_entry.job_name #=> String
resp.job_bookmark_entry.version #=> Integer
resp.job_bookmark_entry.run #=> Integer
resp.job_bookmark_entry.attempt #=> Integer
resp.job_bookmark_entry.previous_run_id #=> String
resp.job_bookmark_entry.run_id #=> String
resp.job_bookmark_entry.job_bookmark #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:job_name (required, String) —
The name of the job in question.
:run_id (String) —
The unique run identifier associated with this job run.

Returns:

(Types::GetJobBookmarkResponse) —
Returns a response object which responds to the following methods:
- #job_bookmark_entry => Types::JobBookmarkEntry

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 10182

def get_job_bookmark(params = {}, options = {})
  req = build_request(:get_job_bookmark, params)
  req.send_request(options)
end

#get_job_run(params = {}) ⇒ `Types::GetJobRunResponse`

Retrieves the metadata for a given job run. Job run history is accessible for 365 days for your workflow and job run.

Examples:

Request syntax with placeholder values


resp = client.get_job_run({
  job_name: "NameString", # required
  run_id: "IdString", # required
  predecessors_included: false,
})

Response structure


resp.job_run.id #=> String
resp.job_run.attempt #=> Integer
resp.job_run.previous_run_id #=> String
resp.job_run.trigger_name #=> String
resp.job_run.job_name #=> String
resp.job_run.job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.job_run.job_run_queuing_enabled #=> Boolean
resp.job_run.started_on #=> Time
resp.job_run.last_modified_on #=> Time
resp.job_run.completed_on #=> Time
resp.job_run.job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.job_run.arguments #=> Hash
resp.job_run.arguments["GenericString"] #=> String
resp.job_run.error_message #=> String
resp.job_run.predecessor_runs #=> Array
resp.job_run.predecessor_runs[0].job_name #=> String
resp.job_run.predecessor_runs[0].run_id #=> String
resp.job_run.allocated_capacity #=> Integer
resp.job_run.execution_time #=> Integer
resp.job_run.timeout #=> Integer
resp.job_run.max_capacity #=> Float
resp.job_run.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.job_run.number_of_workers #=> Integer
resp.job_run.security_configuration #=> String
resp.job_run.log_group_name #=> String
resp.job_run.notification_property.notify_delay_after #=> Integer
resp.job_run.glue_version #=> String
resp.job_run.dpu_seconds #=> Float
resp.job_run.execution_class #=> String, one of "FLEX", "STANDARD"
resp.job_run.maintenance_window #=> String
resp.job_run.profile_name #=> String
resp.job_run.state_detail #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:job_name (required, String) —
Name of the job definition being run.
:run_id (required, String) —
The ID of the job run.
:predecessors_included (Boolean) —
True if a list of predecessor runs should be returned.

Returns:

(Types::GetJobRunResponse) —
Returns a response object which responds to the following methods:
- #job_run => Types::JobRun

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 10250

def get_job_run(params = {}, options = {})
  req = build_request(:get_job_run, params)
  req.send_request(options)
end

#get_job_runs(params = {}) ⇒ `Types::GetJobRunsResponse`

Retrieves metadata for all runs of a given job definition.

GetJobRuns returns the job runs in chronological order, with the newest jobs returned first.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_job_runs({
  job_name: "NameString", # required
  next_token: "GenericString",
  max_results: 1,
})

Response structure


resp.job_runs #=> Array
resp.job_runs[0].id #=> String
resp.job_runs[0].attempt #=> Integer
resp.job_runs[0].previous_run_id #=> String
resp.job_runs[0].trigger_name #=> String
resp.job_runs[0].job_name #=> String
resp.job_runs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.job_runs[0].job_run_queuing_enabled #=> Boolean
resp.job_runs[0].started_on #=> Time
resp.job_runs[0].last_modified_on #=> Time
resp.job_runs[0].completed_on #=> Time
resp.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.job_runs[0].arguments #=> Hash
resp.job_runs[0].arguments["GenericString"] #=> String
resp.job_runs[0].error_message #=> String
resp.job_runs[0].predecessor_runs #=> Array
resp.job_runs[0].predecessor_runs[0].job_name #=> String
resp.job_runs[0].predecessor_runs[0].run_id #=> String
resp.job_runs[0].allocated_capacity #=> Integer
resp.job_runs[0].execution_time #=> Integer
resp.job_runs[0].timeout #=> Integer
resp.job_runs[0].max_capacity #=> Float
resp.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.job_runs[0].number_of_workers #=> Integer
resp.job_runs[0].security_configuration #=> String
resp.job_runs[0].log_group_name #=> String
resp.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.job_runs[0].glue_version #=> String
resp.job_runs[0].dpu_seconds #=> Float
resp.job_runs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.job_runs[0].maintenance_window #=> String
resp.job_runs[0].profile_name #=> String
resp.job_runs[0].state_detail #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:job_name (required, String) —
The name of the job definition for which to retrieve all job runs.
:next_token (String) —
A continuation token, if this is a continuation call.
:max_results (Integer) —
The maximum size of the response.

Returns:

(Types::GetJobRunsResponse) —
Returns a response object which responds to the following methods:
- #job_runs => Array<Types::JobRun>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 10325

def get_job_runs(params = {}, options = {})
  req = build_request(:get_job_runs, params)
  req.send_request(options)
end

#get_jobs(params = {}) ⇒ `Types::GetJobsResponse`

Retrieves all current job definitions.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_jobs({
  next_token: "GenericString",
  max_results: 1,
})

Response structure


resp.jobs #=> Array
resp.jobs[0].name #=> String
resp.jobs[0].job_mode #=> String, one of "SCRIPT", "VISUAL", "NOTEBOOK"
resp.jobs[0].job_run_queuing_enabled #=> Boolean
resp.jobs[0].description #=> String
resp.jobs[0].log_uri #=> String
resp.jobs[0].role #=> String
resp.jobs[0].created_on #=> Time
resp.jobs[0].last_modified_on #=> Time
resp.jobs[0].execution_property.max_concurrent_runs #=> Integer
resp.jobs[0].command.name #=> String
resp.jobs[0].command.script_location #=> String
resp.jobs[0].command.python_version #=> String
resp.jobs[0].command.runtime #=> String
resp.jobs[0].default_arguments #=> Hash
resp.jobs[0].default_arguments["GenericString"] #=> String
resp.jobs[0].non_overridable_arguments #=> Hash
resp.jobs[0].non_overridable_arguments["GenericString"] #=> String
resp.jobs[0].connections.connections #=> Array
resp.jobs[0].connections.connections[0] #=> String
resp.jobs[0].max_retries #=> Integer
resp.jobs[0].allocated_capacity #=> Integer
resp.jobs[0].timeout #=> Integer
resp.jobs[0].max_capacity #=> Float
resp.jobs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.jobs[0].number_of_workers #=> Integer
resp.jobs[0].security_configuration #=> String
resp.jobs[0].notification_property.notify_delay_after #=> Integer
resp.jobs[0].glue_version #=> String
resp.jobs[0].code_gen_configuration_nodes #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.schema_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].athena_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.filter_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.partition_column #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.lower_bound #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.upper_bound #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.num_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.job_bookmark_keys_sort_order #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.additional_options.data_type_mapping["JDBCDataType"] #=> String, one of "DATE", "STRING", "TIMESTAMP", "INT", "FLOAT", "LONG", "BIGDECIMAL", "BYTE", "SHORT", "DOUBLE"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_source.tmp_dir_iam_role #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.partition_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.compression_type #=> String, one of "gzip", "bzip2"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.separator #=> String, one of "comma", "ctrla", "pipe", "semicolon", "tab"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.escaper #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.quote_char #=> String, one of "quote", "quillemet", "single_quote", "disabled"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.multiline #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.with_header #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.write_header #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.skip_first #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.optimize_performance #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_csv_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.number_rows #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.skip_footer #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_excel_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.compression_type #=> String, one of "gzip", "bzip2"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.json_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.multiline #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_json_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.compression_type #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.exclusions[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_size #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.group_files #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.recurse #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.max_files_in_band #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_parquet_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].relational_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamo_db_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].jdbc_connector_target.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connector_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_connector_target.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.tmp_dir_iam_role #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.table_location #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].redshift_target.upsert_redshift_options.upsert_keys[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.compression #=> String, one of "snappy", "lzo", "gzip", "brotli", "lz4", "uncompressed", "none"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_glue_parquet_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.compression #=> String, one of "uncompressed"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hyper_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.compression #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_iceberg_direct_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].from_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].to_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].dropped #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].apply_mapping.mapping[0].children #=> Types::Mappings
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.source_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.source_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.target_path #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].rename_field.target_path[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.topk #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spigot.prob #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.join_type #=> String, one of "equijoin", "left", "right", "outer", "leftsemi", "leftanti"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].from #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].join.columns[0].keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].split_fields.paths[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].select_from_collection.index #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.imputed_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].fill_missing_values.filled_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.logical_operator #=> String, one of "AND", "OR"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].operation #=> String, one of "EQ", "LT", "GT", "LTE", "GTE", "REGEX", "ISNULL"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].negated #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].type #=> String, one of "COLUMNEXTRACTED", "CONSTANT"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].filter.filters[0].values[0].value[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.code #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.class_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].custom_code.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].from #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.sql_aliases[0].alias #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].spark_sql.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.endpoint_url #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.stream_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.role_session_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.bootstrap_servers #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.security_protocol #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.topic_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.assign #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.subscribe_pattern #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.ending_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.min_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.include_headers #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.endpoint_url #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_position #=> String, one of "latest", "trim_horizon", "earliest", "timestamp"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_time_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_fetch_records_per_shard #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_record_per_read #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_idle_time_between_reads #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.idle_time_between_reads_in_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.describe_shard_interval #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.max_retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.avoid_empty_batches #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.stream_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.role_session_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kinesis_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.window_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.detect_schema #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.bootstrap_servers #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.security_protocol #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.topic_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.assign #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.subscribe_pattern #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.classification #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.delimiter #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.ending_offsets #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.poll_timeout_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.num_retries #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.retry_interval_ms #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.max_offsets_per_trigger #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.min_partitions #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.include_headers #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.add_record_timestamp #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.emit_consumer_lag_metrics #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.streaming_options.starting_timestamp #=> Time
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.polling_time #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_kafka_source.data_preview_options.record_polling_limit #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_empty #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_null_string #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_check_box_list.is_neg_one #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.id #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_null_fields.null_text_list[0].datatype.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.source #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].merge.primary_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].union.union_type #=> String, one of "ALL", "DISTINCT"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.pii_type #=> String, one of "RowAudit", "RowMasking", "ColumnAudit", "ColumnMasking"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.entity_types_to_detect[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.output_column_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.sample_fraction #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.threshold_fraction #=> Float
resp.jobs[0].code_gen_configuration_nodes["NodeId"].pii_detection.mask_value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.groups[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].column[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].aggregate.aggs[0].agg_func #=> String, one of "avg", "countDistinct", "count", "first", "last", "kurtosis", "max", "min", "skewness", "stddev_samp", "stddev_pop", "sum", "sumDistinct", "var_samp", "var_pop"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].drop_duplicates.columns[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.partition_predicate #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].governed_catalog_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].microsoft_sql_server_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].my_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].oracle_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].postgre_sql_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.transform_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_rule #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].validation_message #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].value[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].list_type #=> String, one of "str", "int", "float", "complex", "bool", "list", "null"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.parameters[0].is_optional #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.function_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.version #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].dynamic_transform.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.ruleset #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.output #=> String, one of "PrimaryInput", "EvaluationResults"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.evaluation_context #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_s3_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.publishing_options.results_publishing_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_hudi_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.compression #=> String, one of "gzip", "lzo", "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_hudi_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.connection_type #=> String, one of "sqlserver", "mysql", "oracle", "postgresql", "redshift"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].direct_jdbc_source.redshift_tmp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].catalog_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.paths #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.paths[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_delta_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_size #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.bounded_files #=> Integer
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.enable_sample_path #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.additional_options.sample_path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_catalog_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0] #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.partition_keys[0][0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.path #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.compression #=> String, one of "uncompressed", "snappy"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.number_target_partitions #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta", "iceberg", "hyper", "xml"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.enable_update_catalog #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.update_behavior #=> String, one of "UPDATE_IN_DATABASE", "LOG"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].s3_delta_direct_target.schema_change_policy.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.access_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.schema.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_database.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.catalog_redshift_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.advanced_options[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.crawler_connection #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_source.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.access_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.schema.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_database.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_table.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.catalog_redshift_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].key #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.advanced_options[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.crawler_connection #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].amazon_redshift_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_data_sources["NodeName"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.ruleset #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.evaluation_context #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_s3_prefix #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.cloud_watch_metrics_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.publishing_options.results_publishing_enabled #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.additional_options["AdditionalOptionKeys"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].evaluate_data_quality_multi_frame.stop_job_on_failure_options.stop_job_on_failure_timing #=> String, one of "Immediate", "AfterDataLoad"
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_arn #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_reference.recipe_version #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.operation #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.parameters #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].action.parameters["ParameterName"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].condition #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].recipe.recipe_steps[0].condition_expressions[0].target_column #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.auto_pushdown #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.source_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.connection.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.schema #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.database #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.temp_dir #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.iam_role.description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.additional_options["EnclosedInStringProperty"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.sample_query #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.pre_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.post_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.upsert #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_action #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_when_not_matched #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.merge_clause #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.staging_table #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.selected_columns[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.auto_pushdown #=> Boolean
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].value #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].label #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.data.table_schema[0].description #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].snowflake_target.inputs[0] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.data #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.data["GenericString"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_source.output_schemas[0].columns[0].type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.name #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.connection_type #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.data #=> Hash
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.data["GenericString"] #=> String
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.inputs #=> Array
resp.jobs[0].code_gen_configuration_nodes["NodeId"].connector_data_target.inputs[0] #=> String
resp.jobs[0].execution_class #=> String, one of "FLEX", "STANDARD"
resp.jobs[0].source_control_details.provider #=> String, one of "GITHUB", "GITLAB", "BITBUCKET", "AWS_CODE_COMMIT"
resp.jobs[0].source_control_details.repository #=> String
resp.jobs[0].source_control_details.owner #=> String
resp.jobs[0].source_control_details.branch #=> String
resp.jobs[0].source_control_details.folder #=> String
resp.jobs[0].source_control_details.last_commit_id #=> String
resp.jobs[0].source_control_details.auth_strategy #=> String, one of "PERSONAL_ACCESS_TOKEN", "AWS_SECRETS_MANAGER"
resp.jobs[0].source_control_details.auth_token #=> String
resp.jobs[0].maintenance_window #=> String
resp.jobs[0].profile_name #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:next_token (String) —
A continuation token, if this is a continuation call.
:max_results (Integer) —
The maximum size of the response.

Returns:

(Types::GetJobsResponse) —
Returns a response object which responds to the following methods:
- #jobs => Array<Types::Job>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 11310

def get_jobs(params = {}, options = {})
  req = build_request(:get_jobs, params)
  req.send_request(options)
end

#get_mapping(params = {}) ⇒ `Types::GetMappingResponse`

Creates mappings.

Examples:

Request syntax with placeholder values


resp = client.get_mapping({
  source: { # required
    database_name: "NameString", # required
    table_name: "NameString", # required
  },
  sinks: [
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
    },
  ],
  location: {
    jdbc: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    s3: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    dynamo_db: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
  },
})

Response structure


resp.mapping #=> Array
resp.mapping[0].source_table #=> String
resp.mapping[0].source_path #=> String
resp.mapping[0].source_type #=> String
resp.mapping[0].target_table #=> String
resp.mapping[0].target_path #=> String
resp.mapping[0].target_type #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:source (required, Types::CatalogEntry) —
Specifies the source table.
:sinks (Array<Types::CatalogEntry>) —
A list of target tables.
:location (Types::Location) —
Parameters for the mapping.

Returns:

(Types::GetMappingResponse) —
Returns a response object which responds to the following methods:
- #mapping => Array<Types::MappingEntry>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 11731

def get_mapping(params = {}, options = {})
  req = build_request(:get_mapping, params)
  req.send_request(options)
end

#get_ml_task_run(params = {}) ⇒ `Types::GetMLTaskRunResponse`

Gets details for a specific task run on a machine learning transform. Machine learning task runs are asynchronous tasks that Glue runs on your behalf as part of various machine learning workflows. You can check the stats of any task run by calling GetMLTaskRun with the TaskRunID and its parent transform's TransformID.

Examples:

Request syntax with placeholder values


resp = client.get_ml_task_run({
  transform_id: "HashString", # required
  task_run_id: "HashString", # required
})

Response structure


resp.transform_id #=> String
resp.task_run_id #=> String
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.log_group_name #=> String
resp.properties.task_type #=> String, one of "EVALUATION", "LABELING_SET_GENERATION", "IMPORT_LABELS", "EXPORT_LABELS", "FIND_MATCHES"
resp.properties.import_labels_task_run_properties.input_s3_path #=> String
resp.properties.import_labels_task_run_properties.replace #=> Boolean
resp.properties.export_labels_task_run_properties.output_s3_path #=> String
resp.properties.labeling_set_generation_task_run_properties.output_s3_path #=> String
resp.properties.find_matches_task_run_properties.job_id #=> String
resp.properties.find_matches_task_run_properties.job_name #=> String
resp.properties.find_matches_task_run_properties.job_run_id #=> String
resp.error_string #=> String
resp.started_on #=> Time
resp.last_modified_on #=> Time
resp.completed_on #=> Time
resp.execution_time #=> Integer

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:transform_id (required, String) —
The unique identifier of the machine learning transform.
:task_run_id (required, String) —
The unique identifier of the task run.

Returns:

(Types::GetMLTaskRunResponse) —
Returns a response object which responds to the following methods:
- #transform_id => String
- #task_run_id => String
- #status => String
- #log_group_name => String
- #properties => Types::TaskRunProperties
- #error_string => String
- #started_on => Time
- #last_modified_on => Time
- #completed_on => Time
- #execution_time => Integer

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 11371

def get_ml_task_run(params = {}, options = {})
  req = build_request(:get_ml_task_run, params)
  req.send_request(options)
end

#get_ml_task_runs(params = {}) ⇒ `Types::GetMLTaskRunsResponse`

Gets a list of runs for a machine learning transform. Machine learning task runs are asynchronous tasks that Glue runs on your behalf as part of various machine learning workflows. You can get a sortable, filterable list of machine learning task runs by calling GetMLTaskRuns with their parent transform's TransformID and other optional parameters as documented in this section.

This operation returns a list of historic runs and must be paginated.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_ml_task_runs({
  transform_id: "HashString", # required
  next_token: "PaginationToken",
  max_results: 1,
  filter: {
    task_run_type: "EVALUATION", # accepts EVALUATION, LABELING_SET_GENERATION, IMPORT_LABELS, EXPORT_LABELS, FIND_MATCHES
    status: "STARTING", # accepts STARTING, RUNNING, STOPPING, STOPPED, SUCCEEDED, FAILED, TIMEOUT
    started_before: Time.now,
    started_after: Time.now,
  },
  sort: {
    column: "TASK_RUN_TYPE", # required, accepts TASK_RUN_TYPE, STATUS, STARTED
    sort_direction: "DESCENDING", # required, accepts DESCENDING, ASCENDING
  },
})

Response structure


resp.task_runs #=> Array
resp.task_runs[0].transform_id #=> String
resp.task_runs[0].task_run_id #=> String
resp.task_runs[0].status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.task_runs[0].log_group_name #=> String
resp.task_runs[0].properties.task_type #=> String, one of "EVALUATION", "LABELING_SET_GENERATION", "IMPORT_LABELS", "EXPORT_LABELS", "FIND_MATCHES"
resp.task_runs[0].properties.import_labels_task_run_properties.input_s3_path #=> String
resp.task_runs[0].properties.import_labels_task_run_properties.replace #=> Boolean
resp.task_runs[0].properties.export_labels_task_run_properties.output_s3_path #=> String
resp.task_runs[0].properties.labeling_set_generation_task_run_properties.output_s3_path #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_id #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_name #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_run_id #=> String
resp.task_runs[0].error_string #=> String
resp.task_runs[0].started_on #=> Time
resp.task_runs[0].last_modified_on #=> Time
resp.task_runs[0].completed_on #=> Time
resp.task_runs[0].execution_time #=> Integer
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:transform_id (required, String) —
The unique identifier of the machine learning transform.
:next_token (String) —
A token for pagination of the results. The default is empty.
:max_results (Integer) —
The maximum number of results to return.
:filter (Types::TaskRunFilterCriteria) —
The filter criteria, in the TaskRunFilterCriteria structure, for the task run.
:sort (Types::TaskRunSortCriteria) —
The sorting criteria, in the TaskRunSortCriteria structure, for the task run.

Returns:

(Types::GetMLTaskRunsResponse) —
Returns a response object which responds to the following methods:
- #task_runs => Array<Types::TaskRun>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 11453

def get_ml_task_runs(params = {}, options = {})
  req = build_request(:get_ml_task_runs, params)
  req.send_request(options)
end

#get_ml_transform(params = {}) ⇒ `Types::GetMLTransformResponse`

Gets an Glue machine learning transform artifact and all its corresponding metadata. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by Glue. You can retrieve their metadata by calling GetMLTransform.

Examples:

Request syntax with placeholder values


resp = client.get_ml_transform({
  transform_id: "HashString", # required
})

Response structure


resp.transform_id #=> String
resp.name #=> String
resp.description #=> String
resp.status #=> String, one of "NOT_READY", "READY", "DELETING"
resp.created_on #=> Time
resp.last_modified_on #=> Time
resp.input_record_tables #=> Array
resp.input_record_tables[0].database_name #=> String
resp.input_record_tables[0].table_name #=> String
resp.input_record_tables[0].catalog_id #=> String
resp.input_record_tables[0].connection_name #=> String
resp.input_record_tables[0].additional_options #=> Hash
resp.input_record_tables[0].additional_options["NameString"] #=> String
resp.parameters.transform_type #=> String, one of "FIND_MATCHES"
resp.parameters.find_matches_parameters.primary_key_column_name #=> String
resp.parameters.find_matches_parameters.precision_recall_tradeoff #=> Float
resp.parameters.find_matches_parameters.accuracy_cost_tradeoff #=> Float
resp.parameters.find_matches_parameters.enforce_provided_labels #=> Boolean
resp.evaluation_metrics.transform_type #=> String, one of "FIND_MATCHES"
resp.evaluation_metrics.find_matches_metrics.area_under_pr_curve #=> Float
resp.evaluation_metrics.find_matches_metrics.precision #=> Float
resp.evaluation_metrics.find_matches_metrics.recall #=> Float
resp.evaluation_metrics.find_matches_metrics.f1 #=> Float
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_positives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_positives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_negatives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_negatives #=> Integer
resp.evaluation_metrics.find_matches_metrics.column_importances #=> Array
resp.evaluation_metrics.find_matches_metrics.column_importances[0].column_name #=> String
resp.evaluation_metrics.find_matches_metrics.column_importances[0].importance #=> Float
resp.label_count #=> Integer
resp.schema #=> Array
resp.schema[0].name #=> String
resp.schema[0].data_type #=> String
resp.role #=> String
resp.glue_version #=> String
resp.max_capacity #=> Float
resp.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.number_of_workers #=> Integer
resp.timeout #=> Integer
resp.max_retries #=> Integer
resp.transform_encryption.ml_user_data_encryption.ml_user_data_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.transform_encryption.ml_user_data_encryption.kms_key_id #=> String
resp.transform_encryption.task_run_security_configuration_name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:transform_id (required, String) —
The unique identifier of the transform, generated at the time that the transform was created.

Returns:

(Types::GetMLTransformResponse) —
Returns a response object which responds to the following methods:
- #transform_id => String
- #name => String
- #description => String
- #status => String
- #created_on => Time
- #last_modified_on => Time
- #input_record_tables => Array<Types::GlueTable>
- #parameters => Types::TransformParameters
- #evaluation_metrics => Types::EvaluationMetrics
- #label_count => Integer
- #schema => Array<Types::SchemaColumn>
- #role => String
- #glue_version => String
- #max_capacity => Float
- #worker_type => String
- #number_of_workers => Integer
- #timeout => Integer
- #max_retries => Integer
- #transform_encryption => Types::TransformEncryption

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 11548

def get_ml_transform(params = {}, options = {})
  req = build_request(:get_ml_transform, params)
  req.send_request(options)
end

#get_ml_transforms(params = {}) ⇒ `Types::GetMLTransformsResponse`

Gets a sortable, filterable list of existing Glue machine learning transforms. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by Glue, and you can retrieve their metadata by calling GetMLTransforms.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_ml_transforms({
  next_token: "PaginationToken",
  max_results: 1,
  filter: {
    name: "NameString",
    transform_type: "FIND_MATCHES", # accepts FIND_MATCHES
    status: "NOT_READY", # accepts NOT_READY, READY, DELETING
    glue_version: "GlueVersionString",
    created_before: Time.now,
    created_after: Time.now,
    last_modified_before: Time.now,
    last_modified_after: Time.now,
    schema: [
      {
        name: "ColumnNameString",
        data_type: "ColumnTypeString",
      },
    ],
  },
  sort: {
    column: "NAME", # required, accepts NAME, TRANSFORM_TYPE, STATUS, CREATED, LAST_MODIFIED
    sort_direction: "DESCENDING", # required, accepts DESCENDING, ASCENDING
  },
})

Response structure


resp.transforms #=> Array
resp.transforms[0].transform_id #=> String
resp.transforms[0].name #=> String
resp.transforms[0].description #=> String
resp.transforms[0].status #=> String, one of "NOT_READY", "READY", "DELETING"
resp.transforms[0].created_on #=> Time
resp.transforms[0].last_modified_on #=> Time
resp.transforms[0].input_record_tables #=> Array
resp.transforms[0].input_record_tables[0].database_name #=> String
resp.transforms[0].input_record_tables[0].table_name #=> String
resp.transforms[0].input_record_tables[0].catalog_id #=> String
resp.transforms[0].input_record_tables[0].connection_name #=> String
resp.transforms[0].input_record_tables[0].additional_options #=> Hash
resp.transforms[0].input_record_tables[0].additional_options["NameString"] #=> String
resp.transforms[0].parameters.transform_type #=> String, one of "FIND_MATCHES"
resp.transforms[0].parameters.find_matches_parameters.primary_key_column_name #=> String
resp.transforms[0].parameters.find_matches_parameters.precision_recall_tradeoff #=> Float
resp.transforms[0].parameters.find_matches_parameters.accuracy_cost_tradeoff #=> Float
resp.transforms[0].parameters.find_matches_parameters.enforce_provided_labels #=> Boolean
resp.transforms[0].evaluation_metrics.transform_type #=> String, one of "FIND_MATCHES"
resp.transforms[0].evaluation_metrics.find_matches_metrics.area_under_pr_curve #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.precision #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.recall #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.f1 #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_positives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_positives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_negatives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_negatives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.column_importances #=> Array
resp.transforms[0].evaluation_metrics.find_matches_metrics.column_importances[0].column_name #=> String
resp.transforms[0].evaluation_metrics.find_matches_metrics.column_importances[0].importance #=> Float
resp.transforms[0].label_count #=> Integer
resp.transforms[0].schema #=> Array
resp.transforms[0].schema[0].name #=> String
resp.transforms[0].schema[0].data_type #=> String
resp.transforms[0].role #=> String
resp.transforms[0].glue_version #=> String
resp.transforms[0].max_capacity #=> Float
resp.transforms[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.transforms[0].number_of_workers #=> Integer
resp.transforms[0].timeout #=> Integer
resp.transforms[0].max_retries #=> Integer
resp.transforms[0].transform_encryption.ml_user_data_encryption.ml_user_data_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.transforms[0].transform_encryption.ml_user_data_encryption.kms_key_id #=> String
resp.transforms[0].transform_encryption.task_run_security_configuration_name #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:next_token (String) —
A paginated token to offset the results.
:max_results (Integer) —
The maximum number of results to return.
:filter (Types::TransformFilterCriteria) —
The filter transformation criteria.
:sort (Types::TransformSortCriteria) —
The sorting criteria.

Returns:

(Types::GetMLTransformsResponse) —
Returns a response object which responds to the following methods:
- #transforms => Array<Types::MLTransform>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 11659

def get_ml_transforms(params = {}, options = {})
  req = build_request(:get_ml_transforms, params)
  req.send_request(options)
end

#get_partition(params = {}) ⇒ `Types::GetPartitionResponse`

Retrieves information about a specified partition.

Examples:

Request syntax with placeholder values


resp = client.get_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
})

Response structure


resp.data.partition.values #=> Array
resp.data.partition.values[0] #=> String
resp.data.partition.database_name #=> String
resp.data.partition.table_name #=> String
resp.data.partition.creation_time #=> Time
resp.data.partition.last_access_time #=> Time
resp.data.partition.storage_descriptor.columns #=> Array
resp.data.partition.storage_descriptor.columns[0].name #=> String
resp.data.partition.storage_descriptor.columns[0].type #=> String
resp.data.partition.storage_descriptor.columns[0].comment #=> String
resp.data.partition.storage_descriptor.columns[0].parameters #=> Hash
resp.data.partition.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.location #=> String
resp.data.partition.storage_descriptor.additional_locations #=> Array
resp.data.partition.storage_descriptor.additional_locations[0] #=> String
resp.data.partition.storage_descriptor.input_format #=> String
resp.data.partition.storage_descriptor.output_format #=> String
resp.data.partition.storage_descriptor.compressed #=> Boolean
resp.data.partition.storage_descriptor.number_of_buckets #=> Integer
resp.data.partition.storage_descriptor.serde_info.name #=> String
resp.data.partition.storage_descriptor.serde_info.serialization_library #=> String
resp.data.partition.storage_descriptor.serde_info.parameters #=> Hash
resp.data.partition.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.bucket_columns #=> Array
resp.data.partition.storage_descriptor.bucket_columns[0] #=> String
resp.data.partition.storage_descriptor.sort_columns #=> Array
resp.data.partition.storage_descriptor.sort_columns[0].column #=> String
resp.data.partition.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.data.partition.storage_descriptor.parameters #=> Hash
resp.data.partition.storage_descriptor.parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.data.partition.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.data.partition.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.data.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.data.partition.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.data.partition.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_version_id #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.data.partition.parameters #=> Hash
resp.data.partition.parameters["KeyString"] #=> String
resp.data.partition.last_analyzed_time #=> Time
resp.data.partition.catalog_id #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partition in question resides. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the partition resides.
:table_name (required, String) —
The name of the partition's table.
:partition_values (required, Array<String>) —
The values that define the partition.

Returns:

(Types::GetPartitionResponse) —
Returns a response object which responds to the following methods:
- #data.partition => Types::Partition (This method conflicts with a method on Response, call it through the data member)

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 11818

def get_partition(params = {}, options = {})
  req = build_request(:get_partition, params)
  req.send_request(options)
end

#get_partition_indexes(params = {}) ⇒ `Types::GetPartitionIndexesResponse`

Retrieves the partition indexes associated with a table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_partition_indexes({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  next_token: "Token",
})

Response structure


resp.partition_index_descriptor_list #=> Array
resp.partition_index_descriptor_list[0].index_name #=> String
resp.partition_index_descriptor_list[0].keys #=> Array
resp.partition_index_descriptor_list[0].keys[0].name #=> String
resp.partition_index_descriptor_list[0].keys[0].type #=> String
resp.partition_index_descriptor_list[0].index_status #=> String, one of "CREATING", "ACTIVE", "DELETING", "FAILED"
resp.partition_index_descriptor_list[0].backfill_errors #=> Array
resp.partition_index_descriptor_list[0].backfill_errors[0].code #=> String, one of "ENCRYPTED_PARTITION_ERROR", "INTERNAL_ERROR", "INVALID_PARTITION_TYPE_DATA_ERROR", "MISSING_PARTITION_VALUE_ERROR", "UNSUPPORTED_PARTITION_CHARACTER_ERROR"
resp.partition_index_descriptor_list[0].backfill_errors[0].partitions #=> Array
resp.partition_index_descriptor_list[0].backfill_errors[0].partitions[0].values #=> Array
resp.partition_index_descriptor_list[0].backfill_errors[0].partitions[0].values[0] #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The catalog ID where the table resides.
:database_name (required, String) —
Specifies the name of a database from which you want to retrieve partition indexes.
:table_name (required, String) —
Specifies the name of a table for which you want to retrieve the partition indexes.
:next_token (String) —
A continuation token, included if this is a continuation call.

Returns:

(Types::GetPartitionIndexesResponse) —
Returns a response object which responds to the following methods:
- #partition_index_descriptor_list => Array<Types::PartitionIndexDescriptor>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 11874

def get_partition_indexes(params = {}, options = {})
  req = build_request(:get_partition_indexes, params)
  req.send_request(options)
end

#get_partitions(params = {}) ⇒ `Types::GetPartitionsResponse`

Retrieves information about the partitions in a table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_partitions({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  expression: "PredicateString",
  next_token: "Token",
  segment: {
    segment_number: 1, # required
    total_segments: 1, # required
  },
  max_results: 1,
  exclude_column_schema: false,
  transaction_id: "TransactionIdString",
  query_as_of_time: Time.now,
})

Response structure


resp.partitions #=> Array
resp.partitions[0].values #=> Array
resp.partitions[0].values[0] #=> String
resp.partitions[0].database_name #=> String
resp.partitions[0].table_name #=> String
resp.partitions[0].creation_time #=> Time
resp.partitions[0].last_access_time #=> Time
resp.partitions[0].storage_descriptor.columns #=> Array
resp.partitions[0].storage_descriptor.columns[0].name #=> String
resp.partitions[0].storage_descriptor.columns[0].type #=> String
resp.partitions[0].storage_descriptor.columns[0].comment #=> String
resp.partitions[0].storage_descriptor.columns[0].parameters #=> Hash
resp.partitions[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.location #=> String
resp.partitions[0].storage_descriptor.additional_locations #=> Array
resp.partitions[0].storage_descriptor.additional_locations[0] #=> String
resp.partitions[0].storage_descriptor.input_format #=> String
resp.partitions[0].storage_descriptor.output_format #=> String
resp.partitions[0].storage_descriptor.compressed #=> Boolean
resp.partitions[0].storage_descriptor.number_of_buckets #=> Integer
resp.partitions[0].storage_descriptor.serde_info.name #=> String
resp.partitions[0].storage_descriptor.serde_info.serialization_library #=> String
resp.partitions[0].storage_descriptor.serde_info.parameters #=> Hash
resp.partitions[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.bucket_columns #=> Array
resp.partitions[0].storage_descriptor.bucket_columns[0] #=> String
resp.partitions[0].storage_descriptor.sort_columns #=> Array
resp.partitions[0].storage_descriptor.sort_columns[0].column #=> String
resp.partitions[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.partitions[0].storage_descriptor.parameters #=> Hash
resp.partitions[0].storage_descriptor.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.partitions[0].storage_descriptor.stored_as_sub_directories #=> Boolean
resp.partitions[0].storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_version_id #=> String
resp.partitions[0].storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.partitions[0].parameters #=> Hash
resp.partitions[0].parameters["KeyString"] #=> String
resp.partitions[0].last_analyzed_time #=> Time
resp.partitions[0].catalog_id #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the partitions in question reside. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the partitions reside.
:table_name (required, String) —
The name of the partitions' table.
:expression (String) —
An expression that filters the partitions to be returned.

The expression uses SQL syntax similar to the SQL WHERE filter clause. The SQL statement parser JSQLParser parses the expression.

Operators: The following are the operators that you can use in the Expression API call:

=

: Checks whether the values of the two operands are equal; if yes, then the condition becomes true.

Example: Assume 'variable a' holds 10 and 'variable b' holds 20.

(a = b) is not true.

< >

Checks whether the values of two operands are equal; if the values are not equal, then the condition becomes true.

Example: (a < > b) is true.

>

Checks whether the value of the left operand is greater than the value of the right operand; if yes, then the condition becomes true.

Example: (a > b) is not true.

<

Checks whether the value of the left operand is less than the value of the right operand; if yes, then the condition becomes true.

Example: (a < b) is true.

>=

: Checks whether the value of the left operand is greater than or equal to the value of the right operand; if yes, then the condition becomes true.

Example: (a >= b) is not true.

<=

: Checks whether the value of the left operand is less than or equal to the value of the right operand; if yes, then the condition becomes true.

Example: (a <= b) is true.

AND, OR, IN, BETWEEN, LIKE, NOT, IS NULL

Logical operators.

Supported Partition Key Types: The following are the supported partition keys.
- string
- date
- timestamp
- int
- bigint
- long
- tinyint
- smallint
- decimal
If an type is encountered that is not valid, an exception is thrown.

The following list shows the valid operators on each type. When you define a crawler, the partitionKey type is created as a STRING, to be compatible with the catalog partitions.

Sample API Call:
:next_token (String) —
A continuation token, if this is not the first call to retrieve these partitions.
:segment (Types::Segment) —
The segment of the table's partitions to scan in this request.
:max_results (Integer) —
The maximum number of partitions to return in a single response.
:exclude_column_schema (Boolean) —
When true, specifies not returning the partition column schema. Useful when you are interested only in other partition attributes such as partition values or location. This approach avoids the problem of a large response by not returning duplicate data.
:transaction_id (String) —
The transaction ID at which to read the partition contents.
:query_as_of_time (Time, DateTime, Date, Integer, String) —
The time as of when to read the partition contents. If not set, the most recent transaction commit time will be used. Cannot be specified along with TransactionId.

Returns:

(Types::GetPartitionsResponse) —
Returns a response object which responds to the following methods:
- #partitions => Array<Types::Partition>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12089

def get_partitions(params = {}, options = {})
  req = build_request(:get_partitions, params)
  req.send_request(options)
end

#get_plan(params = {}) ⇒ `Types::GetPlanResponse`

Gets code to perform a specified mapping.

Examples:

Request syntax with placeholder values


resp = client.get_plan({
  mapping: [ # required
    {
      source_table: "TableName",
      source_path: "SchemaPathString",
      source_type: "FieldType",
      target_table: "TableName",
      target_path: "SchemaPathString",
      target_type: "FieldType",
    },
  ],
  source: { # required
    database_name: "NameString", # required
    table_name: "NameString", # required
  },
  sinks: [
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
    },
  ],
  location: {
    jdbc: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    s3: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    dynamo_db: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
  },
  language: "PYTHON", # accepts PYTHON, SCALA
  additional_plan_options_map: {
    "GenericString" => "GenericString",
  },
})

Response structure


resp.python_script #=> String
resp.scala_code #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:mapping (required, Array<Types::MappingEntry>) —
The list of mappings from a source table to target tables.
:source (required, Types::CatalogEntry) —
The source table.
:sinks (Array<Types::CatalogEntry>) —
The target tables.
:location (Types::Location) —
The parameters for the mapping.
:language (String) —
The programming language of the code to perform the mapping.
:additional_plan_options_map (Hash<String,String>) —
A map to hold additional optional key-value parameters.

Currently, these key-value pairs are supported:
- inferSchema — Specifies whether to set inferSchema to true or false for the default script generated by an Glue job. For example, to set inferSchema to true, pass the following key value pair:
  
  --additional-plan-options-map '{"inferSchema":"true"}'

Returns:

(Types::GetPlanResponse) —
Returns a response object which responds to the following methods:
- #python_script => String
- #scala_code => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12188

def get_plan(params = {}, options = {})
  req = build_request(:get_plan, params)
  req.send_request(options)
end

#get_registry(params = {}) ⇒ `Types::GetRegistryResponse`

Describes the specified registry in detail.

Examples:

Request syntax with placeholder values


resp = client.get_registry({
  registry_id: { # required
    registry_name: "SchemaRegistryNameString",
    registry_arn: "GlueResourceArn",
  },
})

Response structure


resp.registry_name #=> String
resp.registry_arn #=> String
resp.description #=> String
resp.status #=> String, one of "AVAILABLE", "DELETING"
resp.created_time #=> String
resp.updated_time #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:registry_id (required, Types::RegistryId) —
This is a wrapper structure that may contain the registry name and Amazon Resource Name (ARN).

Returns:

(Types::GetRegistryResponse) —
Returns a response object which responds to the following methods:
- #registry_name => String
- #registry_arn => String
- #description => String
- #status => String
- #created_time => String
- #updated_time => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12230

def get_registry(params = {}, options = {})
  req = build_request(:get_registry, params)
  req.send_request(options)
end

#get_resource_policies(params = {}) ⇒ `Types::GetResourcePoliciesResponse`

Retrieves the resource policies set on individual resources by Resource Access Manager during cross-account permission grants. Also retrieves the Data Catalog resource policy.

If you enabled metadata encryption in Data Catalog settings, and you do not have permission on the KMS key, the operation can't return the Data Catalog resource policy.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_resource_policies({
  next_token: "Token",
  max_results: 1,
})

Response structure


resp.get_resource_policies_response_list #=> Array
resp.get_resource_policies_response_list[0].policy_in_json #=> String
resp.get_resource_policies_response_list[0].policy_hash #=> String
resp.get_resource_policies_response_list[0].create_time #=> Time
resp.get_resource_policies_response_list[0].update_time #=> Time
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:next_token (String) —
A continuation token, if this is a continuation request.
:max_results (Integer) —
The maximum size of a list to return.

Returns:

(Types::GetResourcePoliciesResponse) —
Returns a response object which responds to the following methods:
- #get_resource_policies_response_list => Array<Types::GluePolicy>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12276

def get_resource_policies(params = {}, options = {})
  req = build_request(:get_resource_policies, params)
  req.send_request(options)
end

#get_resource_policy(params = {}) ⇒ `Types::GetResourcePolicyResponse`

Retrieves a specified resource policy.

Examples:

Request syntax with placeholder values


resp = client.get_resource_policy({
  resource_arn: "GlueResourceArn",
})

Response structure


resp.policy_in_json #=> String
resp.policy_hash #=> String
resp.create_time #=> Time
resp.update_time #=> Time

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:resource_arn (String) —
The ARN of the Glue resource for which to retrieve the resource policy. If not supplied, the Data Catalog resource policy is returned. Use GetResourcePolicies to view all existing resource policies. For more information see Specifying Glue Resource ARNs.

Returns:

(Types::GetResourcePolicyResponse) —
Returns a response object which responds to the following methods:
- #policy_in_json => String
- #policy_hash => String
- #create_time => Time
- #update_time => Time

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12317

def get_resource_policy(params = {}, options = {})
  req = build_request(:get_resource_policy, params)
  req.send_request(options)
end

#get_schema(params = {}) ⇒ `Types::GetSchemaResponse`

Describes the specified schema in detail.

Examples:

Request syntax with placeholder values


resp = client.get_schema({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
})

Response structure


resp.registry_name #=> String
resp.registry_arn #=> String
resp.schema_name #=> String
resp.schema_arn #=> String
resp.description #=> String
resp.data_format #=> String, one of "AVRO", "JSON", "PROTOBUF"
resp.compatibility #=> String, one of "NONE", "DISABLED", "BACKWARD", "BACKWARD_ALL", "FORWARD", "FORWARD_ALL", "FULL", "FULL_ALL"
resp.schema_checkpoint #=> Integer
resp.latest_schema_version #=> Integer
resp.next_schema_version #=> Integer
resp.schema_status #=> String, one of "AVAILABLE", "PENDING", "DELETING"
resp.created_time #=> String
resp.updated_time #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:schema_id (required, Types::SchemaId) —
This is a wrapper structure to contain schema identity fields. The structure contains:
- SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. Either SchemaArn or SchemaName and RegistryName has to be provided.
- SchemaId$SchemaName: The name of the schema. Either SchemaArn or SchemaName and RegistryName has to be provided.

Returns:

(Types::GetSchemaResponse) —
Returns a response object which responds to the following methods:
- #registry_name => String
- #registry_arn => String
- #schema_name => String
- #schema_arn => String
- #description => String
- #data_format => String
- #compatibility => String
- #schema_checkpoint => Integer
- #latest_schema_version => Integer
- #next_schema_version => Integer
- #schema_status => String
- #created_time => String
- #updated_time => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12381

def get_schema(params = {}, options = {})
  req = build_request(:get_schema, params)
  req.send_request(options)
end

#get_schema_by_definition(params = {}) ⇒ `Types::GetSchemaByDefinitionResponse`

Retrieves a schema by the SchemaDefinition. The schema definition is sent to the Schema Registry, canonicalized, and hashed. If the hash is matched within the scope of the SchemaName or ARN (or the default registry, if none is supplied), that schema’s metadata is returned. Otherwise, a 404 or NotFound error is returned. Schema versions in Deleted statuses will not be included in the results.

Examples:

Request syntax with placeholder values


resp = client.get_schema_by_definition({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_definition: "SchemaDefinitionString", # required
})

Response structure


resp.schema_version_id #=> String
resp.schema_arn #=> String
resp.data_format #=> String, one of "AVRO", "JSON", "PROTOBUF"
resp.status #=> String, one of "AVAILABLE", "PENDING", "FAILURE", "DELETING"
resp.created_time #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:schema_id (required, Types::SchemaId) —
This is a wrapper structure to contain schema identity fields. The structure contains:
- SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. One of SchemaArn or SchemaName has to be provided.
- SchemaId$SchemaName: The name of the schema. One of SchemaArn or SchemaName has to be provided.
:schema_definition (required, String) —
The definition of the schema for which schema details are required.

Returns:

(Types::GetSchemaByDefinitionResponse) —
Returns a response object which responds to the following methods:
- #schema_version_id => String
- #schema_arn => String
- #data_format => String
- #status => String
- #created_time => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12437

def get_schema_by_definition(params = {}, options = {})
  req = build_request(:get_schema_by_definition, params)
  req.send_request(options)
end

#get_schema_version(params = {}) ⇒ `Types::GetSchemaVersionResponse`

Get the specified schema by its unique ID assigned when a version of the schema is created or registered. Schema versions in Deleted status will not be included in the results.

Examples:

Request syntax with placeholder values


resp = client.get_schema_version({
  schema_id: {
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  schema_version_id: "SchemaVersionIdString",
  schema_version_number: {
    latest_version: false,
    version_number: 1,
  },
})

Response structure


resp.schema_version_id #=> String
resp.schema_definition #=> String
resp.data_format #=> String, one of "AVRO", "JSON", "PROTOBUF"
resp.schema_arn #=> String
resp.version_number #=> Integer
resp.status #=> String, one of "AVAILABLE", "PENDING", "FAILURE", "DELETING"
resp.created_time #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:schema_id (Types::SchemaId) —
This is a wrapper structure to contain schema identity fields. The structure contains:
- SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. Either SchemaArn or SchemaName and RegistryName has to be provided.
- SchemaId$SchemaName: The name of the schema. Either SchemaArn or SchemaName and RegistryName has to be provided.
:schema_version_id (String) —
The SchemaVersionId of the schema version. This field is required for fetching by schema ID. Either this or the SchemaId wrapper has to be provided.
:schema_version_number (Types::SchemaVersionNumber) —
The version number of the schema.

Returns:

(Types::GetSchemaVersionResponse) —
Returns a response object which responds to the following methods:
- #schema_version_id => String
- #schema_definition => String
- #data_format => String
- #schema_arn => String
- #version_number => Integer
- #status => String
- #created_time => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12504

def get_schema_version(params = {}, options = {})
  req = build_request(:get_schema_version, params)
  req.send_request(options)
end

#get_schema_versions_diff(params = {}) ⇒ `Types::GetSchemaVersionsDiffResponse`

Fetches the schema version difference in the specified difference type between two stored schema versions in the Schema Registry.

This API allows you to compare two schema versions between two schema definitions under the same schema.

Examples:

Request syntax with placeholder values


resp = client.get_schema_versions_diff({
  schema_id: { # required
    schema_arn: "GlueResourceArn",
    schema_name: "SchemaRegistryNameString",
    registry_name: "SchemaRegistryNameString",
  },
  first_schema_version_number: { # required
    latest_version: false,
    version_number: 1,
  },
  second_schema_version_number: { # required
    latest_version: false,
    version_number: 1,
  },
  schema_diff_type: "SYNTAX_DIFF", # required, accepts SYNTAX_DIFF
})

Response structure


resp.diff #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:schema_id (required, Types::SchemaId) —
This is a wrapper structure to contain schema identity fields. The structure contains:
- SchemaId$SchemaArn: The Amazon Resource Name (ARN) of the schema. One of SchemaArn or SchemaName has to be provided.
- SchemaId$SchemaName: The name of the schema. One of SchemaArn or SchemaName has to be provided.
:first_schema_version_number (required, Types::SchemaVersionNumber) —
The first of the two schema versions to be compared.
:second_schema_version_number (required, Types::SchemaVersionNumber) —
The second of the two schema versions to be compared.
:schema_diff_type (required, String) —
Refers to SYNTAX_DIFF, which is the currently supported diff type.

Returns:

(Types::GetSchemaVersionsDiffResponse) —
Returns a response object which responds to the following methods:
- #diff => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12565

def get_schema_versions_diff(params = {}, options = {})
  req = build_request(:get_schema_versions_diff, params)
  req.send_request(options)
end

#get_security_configuration(params = {}) ⇒ `Types::GetSecurityConfigurationResponse`

Retrieves a specified security configuration.

Examples:

Request syntax with placeholder values


resp = client.get_security_configuration({
  name: "NameString", # required
})

Response structure


resp.security_configuration.name #=> String
resp.security_configuration.created_time_stamp #=> Time
resp.security_configuration.encryption_configuration.s3_encryption #=> Array
resp.security_configuration.encryption_configuration.s3_encryption[0].s3_encryption_mode #=> String, one of "DISABLED", "SSE-KMS", "SSE-S3"
resp.security_configuration.encryption_configuration.s3_encryption[0].kms_key_arn #=> String
resp.security_configuration.encryption_configuration.cloud_watch_encryption.cloud_watch_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.security_configuration.encryption_configuration.cloud_watch_encryption.kms_key_arn #=> String
resp.security_configuration.encryption_configuration.job_bookmarks_encryption.job_bookmarks_encryption_mode #=> String, one of "DISABLED", "CSE-KMS"
resp.security_configuration.encryption_configuration.job_bookmarks_encryption.kms_key_arn #=> String
resp.security_configuration.encryption_configuration.data_quality_encryption.data_quality_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.security_configuration.encryption_configuration.data_quality_encryption.kms_key_arn #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the security configuration to retrieve.

Returns:

(Types::GetSecurityConfigurationResponse) —
Returns a response object which responds to the following methods:
- #security_configuration => Types::SecurityConfiguration

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12603

def get_security_configuration(params = {}, options = {})
  req = build_request(:get_security_configuration, params)
  req.send_request(options)
end

#get_security_configurations(params = {}) ⇒ `Types::GetSecurityConfigurationsResponse`

Retrieves a list of all security configurations.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_security_configurations({
  max_results: 1,
  next_token: "GenericString",
})

Response structure


resp.security_configurations #=> Array
resp.security_configurations[0].name #=> String
resp.security_configurations[0].created_time_stamp #=> Time
resp.security_configurations[0].encryption_configuration.s3_encryption #=> Array
resp.security_configurations[0].encryption_configuration.s3_encryption[0].s3_encryption_mode #=> String, one of "DISABLED", "SSE-KMS", "SSE-S3"
resp.security_configurations[0].encryption_configuration.s3_encryption[0].kms_key_arn #=> String
resp.security_configurations[0].encryption_configuration.cloud_watch_encryption.cloud_watch_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.security_configurations[0].encryption_configuration.cloud_watch_encryption.kms_key_arn #=> String
resp.security_configurations[0].encryption_configuration.job_bookmarks_encryption.job_bookmarks_encryption_mode #=> String, one of "DISABLED", "CSE-KMS"
resp.security_configurations[0].encryption_configuration.job_bookmarks_encryption.kms_key_arn #=> String
resp.security_configurations[0].encryption_configuration.data_quality_encryption.data_quality_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.security_configurations[0].encryption_configuration.data_quality_encryption.kms_key_arn #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:max_results (Integer) —
The maximum number of results to return.
:next_token (String) —
A continuation token, if this is a continuation call.

Returns:

(Types::GetSecurityConfigurationsResponse) —
Returns a response object which responds to the following methods:
- #security_configurations => Array<Types::SecurityConfiguration>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12650

def get_security_configurations(params = {}, options = {})
  req = build_request(:get_security_configurations, params)
  req.send_request(options)
end

#get_session(params = {}) ⇒ `Types::GetSessionResponse`

Retrieves the session.

Examples:

Request syntax with placeholder values


resp = client.get_session({
  id: "NameString", # required
  request_origin: "OrchestrationNameString",
})

Response structure


resp.session.id #=> String
resp.session.created_on #=> Time
resp.session.status #=> String, one of "PROVISIONING", "READY", "FAILED", "TIMEOUT", "STOPPING", "STOPPED"
resp.session.error_message #=> String
resp.session.description #=> String
resp.session.role #=> String
resp.session.command.name #=> String
resp.session.command.python_version #=> String
resp.session.default_arguments #=> Hash
resp.session.default_arguments["OrchestrationNameString"] #=> String
resp.session.connections.connections #=> Array
resp.session.connections.connections[0] #=> String
resp.session.progress #=> Float
resp.session.max_capacity #=> Float
resp.session.security_configuration #=> String
resp.session.glue_version #=> String
resp.session.number_of_workers #=> Integer
resp.session.worker_type #=> String, one of "Standard", "G.1X", "G.2X", "G.025X", "G.4X", "G.8X", "Z.2X"
resp.session.completed_on #=> Time
resp.session.execution_time #=> Float
resp.session.dpu_seconds #=> Float
resp.session.idle_timeout #=> Integer
resp.session.profile_name #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:id (required, String) —
The ID of the session.
:request_origin (String) —
The origin of the request.

Returns:

(Types::GetSessionResponse) —
Returns a response object which responds to the following methods:
- #session => Types::Session

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12704

def get_session(params = {}, options = {})
  req = build_request(:get_session, params)
  req.send_request(options)
end

#get_statement(params = {}) ⇒ `Types::GetStatementResponse`

Retrieves the statement.

Examples:

Request syntax with placeholder values


resp = client.get_statement({
  session_id: "NameString", # required
  id: 1, # required
  request_origin: "OrchestrationNameString",
})

Response structure


resp.statement.id #=> Integer
resp.statement.code #=> String
resp.statement.state #=> String, one of "WAITING", "RUNNING", "AVAILABLE", "CANCELLING", "CANCELLED", "ERROR"
resp.statement.output.data.text_plain #=> String
resp.statement.output.execution_count #=> Integer
resp.statement.output.status #=> String, one of "WAITING", "RUNNING", "AVAILABLE", "CANCELLING", "CANCELLED", "ERROR"
resp.statement.output.error_name #=> String
resp.statement.output.error_value #=> String
resp.statement.output.traceback #=> Array
resp.statement.output.traceback[0] #=> String
resp.statement.progress #=> Float
resp.statement.started_on #=> Integer
resp.statement.completed_on #=> Integer

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:session_id (required, String) —
The Session ID of the statement.
:id (required, Integer) —
The Id of the statement.
:request_origin (String) —
The origin of the request.

Returns:

(Types::GetStatementResponse) —
Returns a response object which responds to the following methods:
- #statement => Types::Statement

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12752

def get_statement(params = {}, options = {})
  req = build_request(:get_statement, params)
  req.send_request(options)
end

#get_table(params = {}) ⇒ `Types::GetTableResponse`

Retrieves the Table definition in a Data Catalog for a specified table.

Examples:

Request syntax with placeholder values


resp = client.get_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  name: "NameString", # required
  transaction_id: "TransactionIdString",
  query_as_of_time: Time.now,
  include_status_details: false,
})

Response structure


resp.table.name #=> String
resp.table.database_name #=> String
resp.table.description #=> String
resp.table.owner #=> String
resp.table.create_time #=> Time
resp.table.update_time #=> Time
resp.table.last_access_time #=> Time
resp.table.last_analyzed_time #=> Time
resp.table.retention #=> Integer
resp.table.storage_descriptor.columns #=> Array
resp.table.storage_descriptor.columns[0].name #=> String
resp.table.storage_descriptor.columns[0].type #=> String
resp.table.storage_descriptor.columns[0].comment #=> String
resp.table.storage_descriptor.columns[0].parameters #=> Hash
resp.table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table.storage_descriptor.location #=> String
resp.table.storage_descriptor.additional_locations #=> Array
resp.table.storage_descriptor.additional_locations[0] #=> String
resp.table.storage_descriptor.input_format #=> String
resp.table.storage_descriptor.output_format #=> String
resp.table.storage_descriptor.compressed #=> Boolean
resp.table.storage_descriptor.number_of_buckets #=> Integer
resp.table.storage_descriptor.serde_info.name #=> String
resp.table.storage_descriptor.serde_info.serialization_library #=> String
resp.table.storage_descriptor.serde_info.parameters #=> Hash
resp.table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table.storage_descriptor.bucket_columns #=> Array
resp.table.storage_descriptor.bucket_columns[0] #=> String
resp.table.storage_descriptor.sort_columns #=> Array
resp.table.storage_descriptor.sort_columns[0].column #=> String
resp.table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table.storage_descriptor.parameters #=> Hash
resp.table.storage_descriptor.parameters["KeyString"] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table.storage_descriptor.schema_reference.schema_version_id #=> String
resp.table.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table.partition_keys #=> Array
resp.table.partition_keys[0].name #=> String
resp.table.partition_keys[0].type #=> String
resp.table.partition_keys[0].comment #=> String
resp.table.partition_keys[0].parameters #=> Hash
resp.table.partition_keys[0].parameters["KeyString"] #=> String
resp.table.view_original_text #=> String
resp.table.view_expanded_text #=> String
resp.table.table_type #=> String
resp.table.parameters #=> Hash
resp.table.parameters["KeyString"] #=> String
resp.table.created_by #=> String
resp.table.is_registered_with_lake_formation #=> Boolean
resp.table.target_table.catalog_id #=> String
resp.table.target_table.database_name #=> String
resp.table.target_table.name #=> String
resp.table.target_table.region #=> String
resp.table.catalog_id #=> String
resp.table.version_id #=> String
resp.table.federated_table.identifier #=> String
resp.table.federated_table.database_identifier #=> String
resp.table.federated_table.connection_name #=> String
resp.table.view_definition.is_protected #=> Boolean
resp.table.view_definition.definer #=> String
resp.table.view_definition.sub_objects #=> Array
resp.table.view_definition.sub_objects[0] #=> String
resp.table.view_definition.representations #=> Array
resp.table.view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table.view_definition.representations[0].dialect_version #=> String
resp.table.view_definition.representations[0].view_original_text #=> String
resp.table.view_definition.representations[0].view_expanded_text #=> String
resp.table.view_definition.representations[0].validation_connection #=> String
resp.table.view_definition.representations[0].is_stale #=> Boolean
resp.table.is_multi_dialect_view #=> Boolean
resp.table.status.requested_by #=> String
resp.table.status.updated_by #=> String
resp.table.status.request_time #=> Time
resp.table.status.update_time #=> Time
resp.table.status.action #=> String, one of "UPDATE", "CREATE"
resp.table.status.state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table.status.error.error_code #=> String
resp.table.status.error.error_message #=> String
resp.table.status.details.requested_change #=> Types::Table
resp.table.status.details.view_validations #=> Array
resp.table.status.details.view_validations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table.status.details.view_validations[0].dialect_version #=> String
resp.table.status.details.view_validations[0].view_validation_text #=> String
resp.table.status.details.view_validations[0].update_time #=> Time
resp.table.status.details.view_validations[0].state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table.status.details.view_validations[0].error.error_code #=> String
resp.table.status.details.view_validations[0].error.error_message #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the table resides. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.
:name (required, String) —
The name of the table for which to retrieve the definition. For Hive compatibility, this name is entirely lowercase.
:transaction_id (String) —
The transaction ID at which to read the table contents.
:query_as_of_time (Time, DateTime, Date, Integer, String) —
The time as of when to read the table contents. If not set, the most recent transaction commit time will be used. Cannot be specified along with TransactionId.
:include_status_details (Boolean) —
Specifies whether to include status details related to a request to create or update an Glue Data Catalog view.

Returns:

(Types::GetTableResponse) —
Returns a response object which responds to the following methods:
- #table => Types::Table

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12902

def get_table(params = {}, options = {})
  req = build_request(:get_table, params)
  req.send_request(options)
end

#get_table_optimizer(params = {}) ⇒ `Types::GetTableOptimizerResponse`

Returns the configuration of all optimizers associated with a specified table.

Examples:

Request syntax with placeholder values


resp = client.get_table_optimizer({
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  type: "compaction", # required, accepts compaction, retention, orphan_file_deletion
})

Response structure


resp.catalog_id #=> String
resp.database_name #=> String
resp.table_name #=> String
resp.table_optimizer.type #=> String, one of "compaction", "retention", "orphan_file_deletion"
resp.table_optimizer.configuration.role_arn #=> String
resp.table_optimizer.configuration.enabled #=> Boolean
resp.table_optimizer.configuration.vpc_configuration.glue_connection_name #=> String
resp.table_optimizer.configuration.compaction_configuration.iceberg_configuration.strategy #=> String, one of "binpack", "sort", "z-order"
resp.table_optimizer.configuration.retention_configuration.iceberg_configuration.snapshot_retention_period_in_days #=> Integer
resp.table_optimizer.configuration.retention_configuration.iceberg_configuration.number_of_snapshots_to_retain #=> Integer
resp.table_optimizer.configuration.retention_configuration.iceberg_configuration.clean_expired_files #=> Boolean
resp.table_optimizer.configuration.orphan_file_deletion_configuration.iceberg_configuration.orphan_file_retention_period_in_days #=> Integer
resp.table_optimizer.configuration.orphan_file_deletion_configuration.iceberg_configuration.location #=> String
resp.table_optimizer.last_run.event_type #=> String, one of "starting", "completed", "failed", "in_progress"
resp.table_optimizer.last_run.start_timestamp #=> Time
resp.table_optimizer.last_run.end_timestamp #=> Time
resp.table_optimizer.last_run.metrics.number_of_bytes_compacted #=> String
resp.table_optimizer.last_run.metrics.number_of_files_compacted #=> String
resp.table_optimizer.last_run.metrics.number_of_dpus #=> String
resp.table_optimizer.last_run.metrics.job_duration_in_hour #=> String
resp.table_optimizer.last_run.error #=> String
resp.table_optimizer.last_run.compaction_metrics.iceberg_metrics.number_of_bytes_compacted #=> Integer
resp.table_optimizer.last_run.compaction_metrics.iceberg_metrics.number_of_files_compacted #=> Integer
resp.table_optimizer.last_run.compaction_metrics.iceberg_metrics.dpu_hours #=> Float
resp.table_optimizer.last_run.compaction_metrics.iceberg_metrics.number_of_dpus #=> Integer
resp.table_optimizer.last_run.compaction_metrics.iceberg_metrics.job_duration_in_hour #=> Float
resp.table_optimizer.last_run.compaction_strategy #=> String, one of "binpack", "sort", "z-order"
resp.table_optimizer.last_run.retention_metrics.iceberg_metrics.number_of_data_files_deleted #=> Integer
resp.table_optimizer.last_run.retention_metrics.iceberg_metrics.number_of_manifest_files_deleted #=> Integer
resp.table_optimizer.last_run.retention_metrics.iceberg_metrics.number_of_manifest_lists_deleted #=> Integer
resp.table_optimizer.last_run.retention_metrics.iceberg_metrics.dpu_hours #=> Float
resp.table_optimizer.last_run.retention_metrics.iceberg_metrics.number_of_dpus #=> Integer
resp.table_optimizer.last_run.retention_metrics.iceberg_metrics.job_duration_in_hour #=> Float
resp.table_optimizer.last_run.orphan_file_deletion_metrics.iceberg_metrics.number_of_orphan_files_deleted #=> Integer
resp.table_optimizer.last_run.orphan_file_deletion_metrics.iceberg_metrics.dpu_hours #=> Float
resp.table_optimizer.last_run.orphan_file_deletion_metrics.iceberg_metrics.number_of_dpus #=> Integer
resp.table_optimizer.last_run.orphan_file_deletion_metrics.iceberg_metrics.job_duration_in_hour #=> Float

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (required, String) —
The Catalog ID of the table.
:database_name (required, String) —
The name of the database in the catalog in which the table resides.
:table_name (required, String) —
The name of the table.
:type (required, String) —
The type of table optimizer.

Returns:

(Types::GetTableOptimizerResponse) —
Returns a response object which responds to the following methods:
- #catalog_id => String
- #database_name => String
- #table_name => String
- #table_optimizer => Types::TableOptimizer

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 12982

def get_table_optimizer(params = {}, options = {})
  req = build_request(:get_table_optimizer, params)
  req.send_request(options)
end

#get_table_version(params = {}) ⇒ `Types::GetTableVersionResponse`

Retrieves a specified version of a table.

Examples:

Request syntax with placeholder values


resp = client.get_table_version({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  version_id: "VersionString",
})

Response structure


resp.table_version.table.name #=> String
resp.table_version.table.database_name #=> String
resp.table_version.table.description #=> String
resp.table_version.table.owner #=> String
resp.table_version.table.create_time #=> Time
resp.table_version.table.update_time #=> Time
resp.table_version.table.last_access_time #=> Time
resp.table_version.table.last_analyzed_time #=> Time
resp.table_version.table.retention #=> Integer
resp.table_version.table.storage_descriptor.columns #=> Array
resp.table_version.table.storage_descriptor.columns[0].name #=> String
resp.table_version.table.storage_descriptor.columns[0].type #=> String
resp.table_version.table.storage_descriptor.columns[0].comment #=> String
resp.table_version.table.storage_descriptor.columns[0].parameters #=> Hash
resp.table_version.table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.location #=> String
resp.table_version.table.storage_descriptor.additional_locations #=> Array
resp.table_version.table.storage_descriptor.additional_locations[0] #=> String
resp.table_version.table.storage_descriptor.input_format #=> String
resp.table_version.table.storage_descriptor.output_format #=> String
resp.table_version.table.storage_descriptor.compressed #=> Boolean
resp.table_version.table.storage_descriptor.number_of_buckets #=> Integer
resp.table_version.table.storage_descriptor.serde_info.name #=> String
resp.table_version.table.storage_descriptor.serde_info.serialization_library #=> String
resp.table_version.table.storage_descriptor.serde_info.parameters #=> Hash
resp.table_version.table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.bucket_columns #=> Array
resp.table_version.table.storage_descriptor.bucket_columns[0] #=> String
resp.table_version.table.storage_descriptor.sort_columns #=> Array
resp.table_version.table.storage_descriptor.sort_columns[0].column #=> String
resp.table_version.table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_version.table.storage_descriptor.parameters #=> Hash
resp.table_version.table.storage_descriptor.parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table_version.table.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table_version.table.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table_version.table.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table_version.table.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table_version.table.storage_descriptor.schema_reference.schema_version_id #=> String
resp.table_version.table.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table_version.table.partition_keys #=> Array
resp.table_version.table.partition_keys[0].name #=> String
resp.table_version.table.partition_keys[0].type #=> String
resp.table_version.table.partition_keys[0].comment #=> String
resp.table_version.table.partition_keys[0].parameters #=> Hash
resp.table_version.table.partition_keys[0].parameters["KeyString"] #=> String
resp.table_version.table.view_original_text #=> String
resp.table_version.table.view_expanded_text #=> String
resp.table_version.table.table_type #=> String
resp.table_version.table.parameters #=> Hash
resp.table_version.table.parameters["KeyString"] #=> String
resp.table_version.table.created_by #=> String
resp.table_version.table.is_registered_with_lake_formation #=> Boolean
resp.table_version.table.target_table.catalog_id #=> String
resp.table_version.table.target_table.database_name #=> String
resp.table_version.table.target_table.name #=> String
resp.table_version.table.target_table.region #=> String
resp.table_version.table.catalog_id #=> String
resp.table_version.table.version_id #=> String
resp.table_version.table.federated_table.identifier #=> String
resp.table_version.table.federated_table.database_identifier #=> String
resp.table_version.table.federated_table.connection_name #=> String
resp.table_version.table.view_definition.is_protected #=> Boolean
resp.table_version.table.view_definition.definer #=> String
resp.table_version.table.view_definition.sub_objects #=> Array
resp.table_version.table.view_definition.sub_objects[0] #=> String
resp.table_version.table.view_definition.representations #=> Array
resp.table_version.table.view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_version.table.view_definition.representations[0].dialect_version #=> String
resp.table_version.table.view_definition.representations[0].view_original_text #=> String
resp.table_version.table.view_definition.representations[0].view_expanded_text #=> String
resp.table_version.table.view_definition.representations[0].validation_connection #=> String
resp.table_version.table.view_definition.representations[0].is_stale #=> Boolean
resp.table_version.table.is_multi_dialect_view #=> Boolean
resp.table_version.table.status.requested_by #=> String
resp.table_version.table.status.updated_by #=> String
resp.table_version.table.status.request_time #=> Time
resp.table_version.table.status.update_time #=> Time
resp.table_version.table.status.action #=> String, one of "UPDATE", "CREATE"
resp.table_version.table.status.state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table_version.table.status.error.error_code #=> String
resp.table_version.table.status.error.error_message #=> String
resp.table_version.table.status.details.requested_change #=> Types::Table
resp.table_version.table.status.details.view_validations #=> Array
resp.table_version.table.status.details.view_validations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_version.table.status.details.view_validations[0].dialect_version #=> String
resp.table_version.table.status.details.view_validations[0].view_validation_text #=> String
resp.table_version.table.status.details.view_validations[0].update_time #=> Time
resp.table_version.table.status.details.view_validations[0].state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table_version.table.status.details.view_validations[0].error.error_code #=> String
resp.table_version.table.status.details.view_validations[0].error.error_message #=> String
resp.table_version.version_id #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.
:table_name (required, String) —
The name of the table. For Hive compatibility, this name is entirely lowercase.
:version_id (String) —
The ID value of the table version to be retrieved. A VersionID is a string representation of an integer. Each version is incremented by 1.

Returns:

(Types::GetTableVersionResponse) —
Returns a response object which responds to the following methods:
- #table_version => Types::TableVersion

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 13122

def get_table_version(params = {}, options = {})
  req = build_request(:get_table_version, params)
  req.send_request(options)
end

#get_table_versions(params = {}) ⇒ `Types::GetTableVersionsResponse`

Retrieves a list of strings that identify available versions of a specified table.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_table_versions({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  next_token: "Token",
  max_results: 1,
})

Response structure


resp.table_versions #=> Array
resp.table_versions[0].table.name #=> String
resp.table_versions[0].table.database_name #=> String
resp.table_versions[0].table.description #=> String
resp.table_versions[0].table.owner #=> String
resp.table_versions[0].table.create_time #=> Time
resp.table_versions[0].table.update_time #=> Time
resp.table_versions[0].table.last_access_time #=> Time
resp.table_versions[0].table.last_analyzed_time #=> Time
resp.table_versions[0].table.retention #=> Integer
resp.table_versions[0].table.storage_descriptor.columns #=> Array
resp.table_versions[0].table.storage_descriptor.columns[0].name #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].type #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].comment #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.location #=> String
resp.table_versions[0].table.storage_descriptor.additional_locations #=> Array
resp.table_versions[0].table.storage_descriptor.additional_locations[0] #=> String
resp.table_versions[0].table.storage_descriptor.input_format #=> String
resp.table_versions[0].table.storage_descriptor.output_format #=> String
resp.table_versions[0].table.storage_descriptor.compressed #=> Boolean
resp.table_versions[0].table.storage_descriptor.number_of_buckets #=> Integer
resp.table_versions[0].table.storage_descriptor.serde_info.name #=> String
resp.table_versions[0].table.storage_descriptor.serde_info.serialization_library #=> String
resp.table_versions[0].table.storage_descriptor.serde_info.parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.bucket_columns #=> Array
resp.table_versions[0].table.storage_descriptor.bucket_columns[0] #=> String
resp.table_versions[0].table.storage_descriptor.sort_columns #=> Array
resp.table_versions[0].table.storage_descriptor.sort_columns[0].column #=> String
resp.table_versions[0].table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_versions[0].table.storage_descriptor.parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table_versions[0].table.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_version_id #=> String
resp.table_versions[0].table.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table_versions[0].table.partition_keys #=> Array
resp.table_versions[0].table.partition_keys[0].name #=> String
resp.table_versions[0].table.partition_keys[0].type #=> String
resp.table_versions[0].table.partition_keys[0].comment #=> String
resp.table_versions[0].table.partition_keys[0].parameters #=> Hash
resp.table_versions[0].table.partition_keys[0].parameters["KeyString"] #=> String
resp.table_versions[0].table.view_original_text #=> String
resp.table_versions[0].table.view_expanded_text #=> String
resp.table_versions[0].table.table_type #=> String
resp.table_versions[0].table.parameters #=> Hash
resp.table_versions[0].table.parameters["KeyString"] #=> String
resp.table_versions[0].table.created_by #=> String
resp.table_versions[0].table.is_registered_with_lake_formation #=> Boolean
resp.table_versions[0].table.target_table.catalog_id #=> String
resp.table_versions[0].table.target_table.database_name #=> String
resp.table_versions[0].table.target_table.name #=> String
resp.table_versions[0].table.target_table.region #=> String
resp.table_versions[0].table.catalog_id #=> String
resp.table_versions[0].table.version_id #=> String
resp.table_versions[0].table.federated_table.identifier #=> String
resp.table_versions[0].table.federated_table.database_identifier #=> String
resp.table_versions[0].table.federated_table.connection_name #=> String
resp.table_versions[0].table.view_definition.is_protected #=> Boolean
resp.table_versions[0].table.view_definition.definer #=> String
resp.table_versions[0].table.view_definition.sub_objects #=> Array
resp.table_versions[0].table.view_definition.sub_objects[0] #=> String
resp.table_versions[0].table.view_definition.representations #=> Array
resp.table_versions[0].table.view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_versions[0].table.view_definition.representations[0].dialect_version #=> String
resp.table_versions[0].table.view_definition.representations[0].view_original_text #=> String
resp.table_versions[0].table.view_definition.representations[0].view_expanded_text #=> String
resp.table_versions[0].table.view_definition.representations[0].validation_connection #=> String
resp.table_versions[0].table.view_definition.representations[0].is_stale #=> Boolean
resp.table_versions[0].table.is_multi_dialect_view #=> Boolean
resp.table_versions[0].table.status.requested_by #=> String
resp.table_versions[0].table.status.updated_by #=> String
resp.table_versions[0].table.status.request_time #=> Time
resp.table_versions[0].table.status.update_time #=> Time
resp.table_versions[0].table.status.action #=> String, one of "UPDATE", "CREATE"
resp.table_versions[0].table.status.state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table_versions[0].table.status.error.error_code #=> String
resp.table_versions[0].table.status.error.error_message #=> String
resp.table_versions[0].table.status.details.requested_change #=> Types::Table
resp.table_versions[0].table.status.details.view_validations #=> Array
resp.table_versions[0].table.status.details.view_validations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_versions[0].table.status.details.view_validations[0].dialect_version #=> String
resp.table_versions[0].table.status.details.view_validations[0].view_validation_text #=> String
resp.table_versions[0].table.status.details.view_validations[0].update_time #=> Time
resp.table_versions[0].table.status.details.view_validations[0].state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table_versions[0].table.status.details.view_validations[0].error.error_code #=> String
resp.table_versions[0].table.status.details.view_validations[0].error.error_message #=> String
resp.table_versions[0].version_id #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.
:table_name (required, String) —
The name of the table. For Hive compatibility, this name is entirely lowercase.
:next_token (String) —
A continuation token, if this is not the first call.
:max_results (Integer) —
The maximum number of table versions to return in one response.

Returns:

(Types::GetTableVersionsResponse) —
Returns a response object which responds to the following methods:
- #table_versions => Array<Types::TableVersion>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 13271

def get_table_versions(params = {}, options = {})
  req = build_request(:get_table_versions, params)
  req.send_request(options)
end

#get_tables(params = {}) ⇒ `Types::GetTablesResponse`

Retrieves the definitions of some or all of the tables in a given Database.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_tables({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  expression: "FilterString",
  next_token: "Token",
  max_results: 1,
  transaction_id: "TransactionIdString",
  query_as_of_time: Time.now,
  include_status_details: false,
  attributes_to_get: ["NAME"], # accepts NAME, TABLE_TYPE
})

Response structure


resp.table_list #=> Array
resp.table_list[0].name #=> String
resp.table_list[0].database_name #=> String
resp.table_list[0].description #=> String
resp.table_list[0].owner #=> String
resp.table_list[0].create_time #=> Time
resp.table_list[0].update_time #=> Time
resp.table_list[0].last_access_time #=> Time
resp.table_list[0].last_analyzed_time #=> Time
resp.table_list[0].retention #=> Integer
resp.table_list[0].storage_descriptor.columns #=> Array
resp.table_list[0].storage_descriptor.columns[0].name #=> String
resp.table_list[0].storage_descriptor.columns[0].type #=> String
resp.table_list[0].storage_descriptor.columns[0].comment #=> String
resp.table_list[0].storage_descriptor.columns[0].parameters #=> Hash
resp.table_list[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.location #=> String
resp.table_list[0].storage_descriptor.additional_locations #=> Array
resp.table_list[0].storage_descriptor.additional_locations[0] #=> String
resp.table_list[0].storage_descriptor.input_format #=> String
resp.table_list[0].storage_descriptor.output_format #=> String
resp.table_list[0].storage_descriptor.compressed #=> Boolean
resp.table_list[0].storage_descriptor.number_of_buckets #=> Integer
resp.table_list[0].storage_descriptor.serde_info.name #=> String
resp.table_list[0].storage_descriptor.serde_info.serialization_library #=> String
resp.table_list[0].storage_descriptor.serde_info.parameters #=> Hash
resp.table_list[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.bucket_columns #=> Array
resp.table_list[0].storage_descriptor.bucket_columns[0] #=> String
resp.table_list[0].storage_descriptor.sort_columns #=> Array
resp.table_list[0].storage_descriptor.sort_columns[0].column #=> String
resp.table_list[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_list[0].storage_descriptor.parameters #=> Hash
resp.table_list[0].storage_descriptor.parameters["KeyString"] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table_list[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table_list[0].storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table_list[0].storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_version_id #=> String
resp.table_list[0].storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table_list[0].partition_keys #=> Array
resp.table_list[0].partition_keys[0].name #=> String
resp.table_list[0].partition_keys[0].type #=> String
resp.table_list[0].partition_keys[0].comment #=> String
resp.table_list[0].partition_keys[0].parameters #=> Hash
resp.table_list[0].partition_keys[0].parameters["KeyString"] #=> String
resp.table_list[0].view_original_text #=> String
resp.table_list[0].view_expanded_text #=> String
resp.table_list[0].table_type #=> String
resp.table_list[0].parameters #=> Hash
resp.table_list[0].parameters["KeyString"] #=> String
resp.table_list[0].created_by #=> String
resp.table_list[0].is_registered_with_lake_formation #=> Boolean
resp.table_list[0].target_table.catalog_id #=> String
resp.table_list[0].target_table.database_name #=> String
resp.table_list[0].target_table.name #=> String
resp.table_list[0].target_table.region #=> String
resp.table_list[0].catalog_id #=> String
resp.table_list[0].version_id #=> String
resp.table_list[0].federated_table.identifier #=> String
resp.table_list[0].federated_table.database_identifier #=> String
resp.table_list[0].federated_table.connection_name #=> String
resp.table_list[0].view_definition.is_protected #=> Boolean
resp.table_list[0].view_definition.definer #=> String
resp.table_list[0].view_definition.sub_objects #=> Array
resp.table_list[0].view_definition.sub_objects[0] #=> String
resp.table_list[0].view_definition.representations #=> Array
resp.table_list[0].view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_list[0].view_definition.representations[0].dialect_version #=> String
resp.table_list[0].view_definition.representations[0].view_original_text #=> String
resp.table_list[0].view_definition.representations[0].view_expanded_text #=> String
resp.table_list[0].view_definition.representations[0].validation_connection #=> String
resp.table_list[0].view_definition.representations[0].is_stale #=> Boolean
resp.table_list[0].is_multi_dialect_view #=> Boolean
resp.table_list[0].status.requested_by #=> String
resp.table_list[0].status.updated_by #=> String
resp.table_list[0].status.request_time #=> Time
resp.table_list[0].status.update_time #=> Time
resp.table_list[0].status.action #=> String, one of "UPDATE", "CREATE"
resp.table_list[0].status.state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table_list[0].status.error.error_code #=> String
resp.table_list[0].status.error.error_message #=> String
resp.table_list[0].status.details.requested_change #=> Types::Table
resp.table_list[0].status.details.view_validations #=> Array
resp.table_list[0].status.details.view_validations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table_list[0].status.details.view_validations[0].dialect_version #=> String
resp.table_list[0].status.details.view_validations[0].view_validation_text #=> String
resp.table_list[0].status.details.view_validations[0].update_time #=> Time
resp.table_list[0].status.details.view_validations[0].state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table_list[0].status.details.view_validations[0].error.error_code #=> String
resp.table_list[0].status.details.view_validations[0].error.error_message #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the tables reside. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The database in the catalog whose tables to list. For Hive compatibility, this name is entirely lowercase.
:expression (String) —
A regular expression pattern. If present, only those tables whose names match the pattern are returned.
:next_token (String) —
A continuation token, included if this is a continuation call.
:max_results (Integer) —
The maximum number of tables to return in a single response.
:transaction_id (String) —
The transaction ID at which to read the table contents.
:query_as_of_time (Time, DateTime, Date, Integer, String) —
The time as of when to read the table contents. If not set, the most recent transaction commit time will be used. Cannot be specified along with TransactionId.
:include_status_details (Boolean) —
Specifies whether to include status details related to a request to create or update an Glue Data Catalog view.
:attributes_to_get (Array<String>) —
Specifies the table fields returned by the GetTables call. This parameter doesn’t accept an empty list. The request must include NAME.

The following are the valid combinations of values:
- NAME - Names of all tables in the database.
- NAME, TABLE_TYPE - Names of all tables and the table types.

Returns:

(Types::GetTablesResponse) —
Returns a response object which responds to the following methods:
- #table_list => Array<Types::Table>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 13446

def get_tables(params = {}, options = {})
  req = build_request(:get_tables, params)
  req.send_request(options)
end

#get_tags(params = {}) ⇒ `Types::GetTagsResponse`

Retrieves a list of tags associated with a resource.

Examples:

Request syntax with placeholder values


resp = client.get_tags({
  resource_arn: "GlueResourceArn", # required
})

Response structure


resp.tags #=> Hash
resp.tags["TagKey"] #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:resource_arn (required, String) —
The Amazon Resource Name (ARN) of the resource for which to retrieve tags.

Returns:

(Types::GetTagsResponse) —
Returns a response object which responds to the following methods:
- #tags => Hash<String,String>

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 13476

def get_tags(params = {}, options = {})
  req = build_request(:get_tags, params)
  req.send_request(options)
end

#get_trigger(params = {}) ⇒ `Types::GetTriggerResponse`

Retrieves the definition of a trigger.

Examples:

Request syntax with placeholder values


resp = client.get_trigger({
  name: "NameString", # required
})

Response structure


resp.trigger.name #=> String
resp.trigger.workflow_name #=> String
resp.trigger.id #=> String
resp.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.trigger.description #=> String
resp.trigger.schedule #=> String
resp.trigger.actions #=> Array
resp.trigger.actions[0].job_name #=> String
resp.trigger.actions[0].arguments #=> Hash
resp.trigger.actions[0].arguments["GenericString"] #=> String
resp.trigger.actions[0].timeout #=> Integer
resp.trigger.actions[0].security_configuration #=> String
resp.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.trigger.actions[0].crawler_name #=> String
resp.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.trigger.predicate.conditions #=> Array
resp.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.trigger.predicate.conditions[0].job_name #=> String
resp.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.trigger.predicate.conditions[0].crawler_name #=> String
resp.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.trigger.event_batching_condition.batch_size #=> Integer
resp.trigger.event_batching_condition.batch_window #=> Integer

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the trigger to retrieve.

Returns:

(Types::GetTriggerResponse) —
Returns a response object which responds to the following methods:
- #trigger => Types::Trigger

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 13527

def get_trigger(params = {}, options = {})
  req = build_request(:get_trigger, params)
  req.send_request(options)
end

#get_triggers(params = {}) ⇒ `Types::GetTriggersResponse`

Gets all the triggers associated with a job.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_triggers({
  next_token: "GenericString",
  dependent_job_name: "NameString",
  max_results: 1,
})

Response structure


resp.triggers #=> Array
resp.triggers[0].name #=> String
resp.triggers[0].workflow_name #=> String
resp.triggers[0].id #=> String
resp.triggers[0].type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.triggers[0].state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.triggers[0].description #=> String
resp.triggers[0].schedule #=> String
resp.triggers[0].actions #=> Array
resp.triggers[0].actions[0].job_name #=> String
resp.triggers[0].actions[0].arguments #=> Hash
resp.triggers[0].actions[0].arguments["GenericString"] #=> String
resp.triggers[0].actions[0].timeout #=> Integer
resp.triggers[0].actions[0].security_configuration #=> String
resp.triggers[0].actions[0].notification_property.notify_delay_after #=> Integer
resp.triggers[0].actions[0].crawler_name #=> String
resp.triggers[0].predicate.logical #=> String, one of "AND", "ANY"
resp.triggers[0].predicate.conditions #=> Array
resp.triggers[0].predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.triggers[0].predicate.conditions[0].job_name #=> String
resp.triggers[0].predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.triggers[0].predicate.conditions[0].crawler_name #=> String
resp.triggers[0].predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "CANCELLING", "CANCELLED", "SUCCEEDED", "FAILED", "ERROR"
resp.triggers[0].event_batching_condition.batch_size #=> Integer
resp.triggers[0].event_batching_condition.batch_window #=> Integer
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:next_token (String) —
A continuation token, if this is a continuation call.
:dependent_job_name (String) —
The name of the job to retrieve triggers for. The trigger that can start this job is returned, and if there is no such trigger, all triggers are returned.
:max_results (Integer) —
The maximum size of the response.

Returns:

(Types::GetTriggersResponse) —
Returns a response object which responds to the following methods:
- #triggers => Array<Types::Trigger>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 13593

def get_triggers(params = {}, options = {})
  req = build_request(:get_triggers, params)
  req.send_request(options)
end

#get_unfiltered_partition_metadata(params = {}) ⇒ `Types::GetUnfilteredPartitionMetadataResponse`

Retrieves partition metadata from the Data Catalog that contains unfiltered metadata.

For IAM authorization, the public IAM action associated with this API is glue:GetPartition.

Examples:

Request syntax with placeholder values


resp = client.get_unfiltered_partition_metadata({
  region: "ValueString",
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_values: ["ValueString"], # required
  audit_context: {
    additional_audit_context: "AuditContextString",
    requested_columns: ["ColumnNameString"],
    all_columns_requested: false,
  },
  supported_permission_types: ["COLUMN_PERMISSION"], # required, accepts COLUMN_PERMISSION, CELL_FILTER_PERMISSION, NESTED_PERMISSION, NESTED_CELL_PERMISSION
  query_session_context: {
    query_id: "HashString",
    query_start_time: Time.now,
    cluster_id: "NullableString",
    query_authorization_id: "HashString",
    additional_context: {
      "ContextKey" => "ContextValue",
    },
  },
})

Response structure


resp.data.partition.values #=> Array
resp.data.partition.values[0] #=> String
resp.data.partition.database_name #=> String
resp.data.partition.table_name #=> String
resp.data.partition.creation_time #=> Time
resp.data.partition.last_access_time #=> Time
resp.data.partition.storage_descriptor.columns #=> Array
resp.data.partition.storage_descriptor.columns[0].name #=> String
resp.data.partition.storage_descriptor.columns[0].type #=> String
resp.data.partition.storage_descriptor.columns[0].comment #=> String
resp.data.partition.storage_descriptor.columns[0].parameters #=> Hash
resp.data.partition.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.location #=> String
resp.data.partition.storage_descriptor.additional_locations #=> Array
resp.data.partition.storage_descriptor.additional_locations[0] #=> String
resp.data.partition.storage_descriptor.input_format #=> String
resp.data.partition.storage_descriptor.output_format #=> String
resp.data.partition.storage_descriptor.compressed #=> Boolean
resp.data.partition.storage_descriptor.number_of_buckets #=> Integer
resp.data.partition.storage_descriptor.serde_info.name #=> String
resp.data.partition.storage_descriptor.serde_info.serialization_library #=> String
resp.data.partition.storage_descriptor.serde_info.parameters #=> Hash
resp.data.partition.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.bucket_columns #=> Array
resp.data.partition.storage_descriptor.bucket_columns[0] #=> String
resp.data.partition.storage_descriptor.sort_columns #=> Array
resp.data.partition.storage_descriptor.sort_columns[0].column #=> String
resp.data.partition.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.data.partition.storage_descriptor.parameters #=> Hash
resp.data.partition.storage_descriptor.parameters["KeyString"] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.data.partition.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.data.partition.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.data.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.data.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.data.partition.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.data.partition.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_version_id #=> String
resp.data.partition.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.data.partition.parameters #=> Hash
resp.data.partition.parameters["KeyString"] #=> String
resp.data.partition.last_analyzed_time #=> Time
resp.data.partition.catalog_id #=> String
resp.authorized_columns #=> Array
resp.authorized_columns[0] #=> String
resp.is_registered_with_lake_formation #=> Boolean

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:region (String) —
Specified only if the base tables belong to a different Amazon Web Services Region.
:catalog_id (required, String) —
The catalog ID where the partition resides.
:database_name (required, String) — default: Required —
Specifies the name of a database that contains the partition.
:table_name (required, String) — default: Required —
Specifies the name of a table that contains the partition.
:partition_values (required, Array<String>) — default: Required —
A list of partition key values.
:audit_context (Types::AuditContext) —
A structure containing Lake Formation audit context information.
:supported_permission_types (required, Array<String>) — default: Required —
A list of supported permission types.
:query_session_context (Types::QuerySessionContext) —
A structure used as a protocol between query engines and Lake Formation or Glue. Contains both a Lake Formation generated authorization identifier and information from the request's authorization context.

Returns:

(Types::GetUnfilteredPartitionMetadataResponse) —
Returns a response object which responds to the following methods:
- #data.partition => Types::Partition (This method conflicts with a method on Response, call it through the data member)
- #authorized_columns => Array<String>
- #is_registered_with_lake_formation => Boolean

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 13720

def get_unfiltered_partition_metadata(params = {}, options = {})
  req = build_request(:get_unfiltered_partition_metadata, params)
  req.send_request(options)
end

#get_unfiltered_partitions_metadata(params = {}) ⇒ `Types::GetUnfilteredPartitionsMetadataResponse`

Retrieves partition metadata from the Data Catalog that contains unfiltered metadata.

For IAM authorization, the public IAM action associated with this API is glue:GetPartitions.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_unfiltered_partitions_metadata({
  region: "ValueString",
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  table_name: "NameString", # required
  expression: "PredicateString",
  audit_context: {
    additional_audit_context: "AuditContextString",
    requested_columns: ["ColumnNameString"],
    all_columns_requested: false,
  },
  supported_permission_types: ["COLUMN_PERMISSION"], # required, accepts COLUMN_PERMISSION, CELL_FILTER_PERMISSION, NESTED_PERMISSION, NESTED_CELL_PERMISSION
  next_token: "Token",
  segment: {
    segment_number: 1, # required
    total_segments: 1, # required
  },
  max_results: 1,
  query_session_context: {
    query_id: "HashString",
    query_start_time: Time.now,
    cluster_id: "NullableString",
    query_authorization_id: "HashString",
    additional_context: {
      "ContextKey" => "ContextValue",
    },
  },
})

Response structure


resp.unfiltered_partitions #=> Array
resp.unfiltered_partitions[0].partition.values #=> Array
resp.unfiltered_partitions[0].partition.values[0] #=> String
resp.unfiltered_partitions[0].partition.database_name #=> String
resp.unfiltered_partitions[0].partition.table_name #=> String
resp.unfiltered_partitions[0].partition.creation_time #=> Time
resp.unfiltered_partitions[0].partition.last_access_time #=> Time
resp.unfiltered_partitions[0].partition.storage_descriptor.columns #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].name #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].type #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].comment #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].parameters #=> Hash
resp.unfiltered_partitions[0].partition.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.location #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.additional_locations #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.additional_locations[0] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.input_format #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.output_format #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.compressed #=> Boolean
resp.unfiltered_partitions[0].partition.storage_descriptor.number_of_buckets #=> Integer
resp.unfiltered_partitions[0].partition.storage_descriptor.serde_info.name #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.serde_info.serialization_library #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.serde_info.parameters #=> Hash
resp.unfiltered_partitions[0].partition.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.bucket_columns #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.bucket_columns[0] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.sort_columns #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.sort_columns[0].column #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.unfiltered_partitions[0].partition.storage_descriptor.parameters #=> Hash
resp.unfiltered_partitions[0].partition.storage_descriptor.parameters["KeyString"] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.unfiltered_partitions[0].partition.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_version_id #=> String
resp.unfiltered_partitions[0].partition.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.unfiltered_partitions[0].partition.parameters #=> Hash
resp.unfiltered_partitions[0].partition.parameters["KeyString"] #=> String
resp.unfiltered_partitions[0].partition.last_analyzed_time #=> Time
resp.unfiltered_partitions[0].partition.catalog_id #=> String
resp.unfiltered_partitions[0].authorized_columns #=> Array
resp.unfiltered_partitions[0].authorized_columns[0] #=> String
resp.unfiltered_partitions[0].is_registered_with_lake_formation #=> Boolean
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:region (String) —
Specified only if the base tables belong to a different Amazon Web Services Region.
:catalog_id (required, String) —
The ID of the Data Catalog where the partitions in question reside. If none is provided, the AWS account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the partitions reside.
:table_name (required, String) —
The name of the table that contains the partition.
:expression (String) —
An expression that filters the partitions to be returned.

The expression uses SQL syntax similar to the SQL WHERE filter clause. The SQL statement parser JSQLParser parses the expression.

Operators: The following are the operators that you can use in the Expression API call:

=

: Checks whether the values of the two operands are equal; if yes, then the condition becomes true.

Example: Assume 'variable a' holds 10 and 'variable b' holds 20.

(a = b) is not true.

< >

Checks whether the values of two operands are equal; if the values are not equal, then the condition becomes true.

Example: (a < > b) is true.

>

Checks whether the value of the left operand is greater than the value of the right operand; if yes, then the condition becomes true.

Example: (a > b) is not true.

<

Checks whether the value of the left operand is less than the value of the right operand; if yes, then the condition becomes true.

Example: (a < b) is true.

>=

: Checks whether the value of the left operand is greater than or equal to the value of the right operand; if yes, then the condition becomes true.

Example: (a >= b) is not true.

<=

: Checks whether the value of the left operand is less than or equal to the value of the right operand; if yes, then the condition becomes true.

Example: (a <= b) is true.

AND, OR, IN, BETWEEN, LIKE, NOT, IS NULL

Logical operators.

Supported Partition Key Types: The following are the supported partition keys.
- string
- date
- timestamp
- int
- bigint
- long
- tinyint
- smallint
- decimal
If an type is encountered that is not valid, an exception is thrown.
:audit_context (Types::AuditContext) —
A structure containing Lake Formation audit context information.
:supported_permission_types (required, Array<String>) —
A list of supported permission types.
:next_token (String) —
A continuation token, if this is not the first call to retrieve these partitions.
:segment (Types::Segment) —
The segment of the table's partitions to scan in this request.
:max_results (Integer) —
The maximum number of partitions to return in a single response.
:query_session_context (Types::QuerySessionContext) —
A structure used as a protocol between query engines and Lake Formation or Glue. Contains both a Lake Formation generated authorization identifier and information from the request's authorization context.

Returns:

(Types::GetUnfilteredPartitionsMetadataResponse) —
Returns a response object which responds to the following methods:
- #unfiltered_partitions => Array<Types::UnfilteredPartition>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 13950

def get_unfiltered_partitions_metadata(params = {}, options = {})
  req = build_request(:get_unfiltered_partitions_metadata, params)
  req.send_request(options)
end

#get_unfiltered_table_metadata(params = {}) ⇒ `Types::GetUnfilteredTableMetadataResponse`

Allows a third-party analytical engine to retrieve unfiltered table metadata from the Data Catalog.

For IAM authorization, the public IAM action associated with this API is glue:GetTable.

Examples:

Request syntax with placeholder values


resp = client.get_unfiltered_table_metadata({
  region: "ValueString",
  catalog_id: "CatalogIdString", # required
  database_name: "NameString", # required
  name: "NameString", # required
  audit_context: {
    additional_audit_context: "AuditContextString",
    requested_columns: ["ColumnNameString"],
    all_columns_requested: false,
  },
  supported_permission_types: ["COLUMN_PERMISSION"], # required, accepts COLUMN_PERMISSION, CELL_FILTER_PERMISSION, NESTED_PERMISSION, NESTED_CELL_PERMISSION
  parent_resource_arn: "ArnString",
  root_resource_arn: "ArnString",
  supported_dialect: {
    dialect: "REDSHIFT", # accepts REDSHIFT, ATHENA, SPARK
    dialect_version: "ViewDialectVersionString",
  },
  permissions: ["ALL"], # accepts ALL, SELECT, ALTER, DROP, DELETE, INSERT, CREATE_DATABASE, CREATE_TABLE, DATA_LOCATION_ACCESS
  query_session_context: {
    query_id: "HashString",
    query_start_time: Time.now,
    cluster_id: "NullableString",
    query_authorization_id: "HashString",
    additional_context: {
      "ContextKey" => "ContextValue",
    },
  },
})

Response structure


resp.table.name #=> String
resp.table.database_name #=> String
resp.table.description #=> String
resp.table.owner #=> String
resp.table.create_time #=> Time
resp.table.update_time #=> Time
resp.table.last_access_time #=> Time
resp.table.last_analyzed_time #=> Time
resp.table.retention #=> Integer
resp.table.storage_descriptor.columns #=> Array
resp.table.storage_descriptor.columns[0].name #=> String
resp.table.storage_descriptor.columns[0].type #=> String
resp.table.storage_descriptor.columns[0].comment #=> String
resp.table.storage_descriptor.columns[0].parameters #=> Hash
resp.table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table.storage_descriptor.location #=> String
resp.table.storage_descriptor.additional_locations #=> Array
resp.table.storage_descriptor.additional_locations[0] #=> String
resp.table.storage_descriptor.input_format #=> String
resp.table.storage_descriptor.output_format #=> String
resp.table.storage_descriptor.compressed #=> Boolean
resp.table.storage_descriptor.number_of_buckets #=> Integer
resp.table.storage_descriptor.serde_info.name #=> String
resp.table.storage_descriptor.serde_info.serialization_library #=> String
resp.table.storage_descriptor.serde_info.parameters #=> Hash
resp.table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table.storage_descriptor.bucket_columns #=> Array
resp.table.storage_descriptor.bucket_columns[0] #=> String
resp.table.storage_descriptor.sort_columns #=> Array
resp.table.storage_descriptor.sort_columns[0].column #=> String
resp.table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table.storage_descriptor.parameters #=> Hash
resp.table.storage_descriptor.parameters["KeyString"] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table.storage_descriptor.stored_as_sub_directories #=> Boolean
resp.table.storage_descriptor.schema_reference.schema_id.schema_arn #=> String
resp.table.storage_descriptor.schema_reference.schema_id.schema_name #=> String
resp.table.storage_descriptor.schema_reference.schema_id.registry_name #=> String
resp.table.storage_descriptor.schema_reference.schema_version_id #=> String
resp.table.storage_descriptor.schema_reference.schema_version_number #=> Integer
resp.table.partition_keys #=> Array
resp.table.partition_keys[0].name #=> String
resp.table.partition_keys[0].type #=> String
resp.table.partition_keys[0].comment #=> String
resp.table.partition_keys[0].parameters #=> Hash
resp.table.partition_keys[0].parameters["KeyString"] #=> String
resp.table.view_original_text #=> String
resp.table.view_expanded_text #=> String
resp.table.table_type #=> String
resp.table.parameters #=> Hash
resp.table.parameters["KeyString"] #=> String
resp.table.created_by #=> String
resp.table.is_registered_with_lake_formation #=> Boolean
resp.table.target_table.catalog_id #=> String
resp.table.target_table.database_name #=> String
resp.table.target_table.name #=> String
resp.table.target_table.region #=> String
resp.table.catalog_id #=> String
resp.table.version_id #=> String
resp.table.federated_table.identifier #=> String
resp.table.federated_table.database_identifier #=> String
resp.table.federated_table.connection_name #=> String
resp.table.view_definition.is_protected #=> Boolean
resp.table.view_definition.definer #=> String
resp.table.view_definition.sub_objects #=> Array
resp.table.view_definition.sub_objects[0] #=> String
resp.table.view_definition.representations #=> Array
resp.table.view_definition.representations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table.view_definition.representations[0].dialect_version #=> String
resp.table.view_definition.representations[0].view_original_text #=> String
resp.table.view_definition.representations[0].view_expanded_text #=> String
resp.table.view_definition.representations[0].validation_connection #=> String
resp.table.view_definition.representations[0].is_stale #=> Boolean
resp.table.is_multi_dialect_view #=> Boolean
resp.table.status.requested_by #=> String
resp.table.status.updated_by #=> String
resp.table.status.request_time #=> Time
resp.table.status.update_time #=> Time
resp.table.status.action #=> String, one of "UPDATE", "CREATE"
resp.table.status.state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table.status.error.error_code #=> String
resp.table.status.error.error_message #=> String
resp.table.status.details.requested_change #=> Types::Table
resp.table.status.details.view_validations #=> Array
resp.table.status.details.view_validations[0].dialect #=> String, one of "REDSHIFT", "ATHENA", "SPARK"
resp.table.status.details.view_validations[0].dialect_version #=> String
resp.table.status.details.view_validations[0].view_validation_text #=> String
resp.table.status.details.view_validations[0].update_time #=> Time
resp.table.status.details.view_validations[0].state #=> String, one of "QUEUED", "IN_PROGRESS", "SUCCESS", "STOPPED", "FAILED"
resp.table.status.details.view_validations[0].error.error_code #=> String
resp.table.status.details.view_validations[0].error.error_message #=> String
resp.authorized_columns #=> Array
resp.authorized_columns[0] #=> String
resp.is_registered_with_lake_formation #=> Boolean
resp.cell_filters #=> Array
resp.cell_filters[0].column_name #=> String
resp.cell_filters[0].row_filter_expression #=> String
resp.query_authorization_id #=> String
resp.is_multi_dialect_view #=> Boolean
resp.resource_arn #=> String
resp.is_protected #=> Boolean
resp.permissions #=> Array
resp.permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.row_filter #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:region (String) —
Specified only if the base tables belong to a different Amazon Web Services Region.
:catalog_id (required, String) —
The catalog ID where the table resides.
:database_name (required, String) — default: Required —
Specifies the name of a database that contains the table.
:name (required, String) — default: Required —
Specifies the name of a table for which you are requesting metadata.
:audit_context (Types::AuditContext) —
A structure containing Lake Formation audit context information.
:supported_permission_types (required, Array<String>) —
Indicates the level of filtering a third-party analytical engine is capable of enforcing when calling the GetUnfilteredTableMetadata API operation. Accepted values are:
- COLUMN_PERMISSION - Column permissions ensure that users can access only specific columns in the table. If there are particular columns contain sensitive data, data lake administrators can define column filters that exclude access to specific columns.
- CELL_FILTER_PERMISSION - Cell-level filtering combines column filtering (include or exclude columns) and row filter expressions to restrict access to individual elements in the table.
- NESTED_PERMISSION - Nested permissions combines cell-level filtering and nested column filtering to restrict access to columns and/or nested columns in specific rows based on row filter expressions.
- NESTED_CELL_PERMISSION - Nested cell permissions combines nested permission with nested cell-level filtering. This allows different subsets of nested columns to be restricted based on an array of row filter expressions.
Note: Each of these permission types follows a hierarchical order where each subsequent permission type includes all permission of the previous type.

Important: If you provide a supported permission type that doesn't match the user's level of permissions on the table, then Lake Formation raises an exception. For example, if the third-party engine calling the GetUnfilteredTableMetadata operation can enforce only column-level filtering, and the user has nested cell filtering applied on the table, Lake Formation throws an exception, and will not return unfiltered table metadata and data access credentials.
:parent_resource_arn (String) —
The resource ARN of the view.
:root_resource_arn (String) —
The resource ARN of the root view in a chain of nested views.
:supported_dialect (Types::SupportedDialect) —
A structure specifying the dialect and dialect version used by the query engine.
:permissions (Array<String>) —
The Lake Formation data permissions of the caller on the table. Used to authorize the call when no view context is found.
:query_session_context (Types::QuerySessionContext) —
A structure used as a protocol between query engines and Lake Formation or Glue. Contains both a Lake Formation generated authorization identifier and information from the request's authorization context.

Returns:

(Types::GetUnfilteredTableMetadataResponse) —
Returns a response object which responds to the following methods:
- #table => Types::Table
- #authorized_columns => Array<String>
- #is_registered_with_lake_formation => Boolean
- #cell_filters => Array<Types::ColumnRowFilter>
- #query_authorization_id => String
- #is_multi_dialect_view => Boolean
- #resource_arn => String
- #is_protected => Boolean
- #permissions => Array<String>
- #row_filter => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 14194

def get_unfiltered_table_metadata(params = {}, options = {})
  req = build_request(:get_unfiltered_table_metadata, params)
  req.send_request(options)
end

#get_usage_profile(params = {}) ⇒ `Types::GetUsageProfileResponse`

Retrieves information about the specified Glue usage profile.

Examples:

Request syntax with placeholder values


resp = client.get_usage_profile({
  name: "NameString", # required
})

Response structure


resp.name #=> String
resp.description #=> String
resp.configuration.session_configuration #=> Hash
resp.configuration.session_configuration["NameString"].default_value #=> String
resp.configuration.session_configuration["NameString"].allowed_values #=> Array
resp.configuration.session_configuration["NameString"].allowed_values[0] #=> String
resp.configuration.session_configuration["NameString"].min_value #=> String
resp.configuration.session_configuration["NameString"].max_value #=> String
resp.configuration.job_configuration #=> Hash
resp.configuration.job_configuration["NameString"].default_value #=> String
resp.configuration.job_configuration["NameString"].allowed_values #=> Array
resp.configuration.job_configuration["NameString"].allowed_values[0] #=> String
resp.configuration.job_configuration["NameString"].min_value #=> String
resp.configuration.job_configuration["NameString"].max_value #=> String
resp.created_on #=> Time
resp.last_modified_on #=> Time

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:name (required, String) —
The name of the usage profile to retrieve.

Returns:

(Types::GetUsageProfileResponse) —
Returns a response object which responds to the following methods:
- #name => String
- #description => String
- #configuration => Types::ProfileConfiguration
- #created_on => Time
- #last_modified_on => Time

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 14241

def get_usage_profile(params = {}, options = {})
  req = build_request(:get_usage_profile, params)
  req.send_request(options)
end

#get_user_defined_function(params = {}) ⇒ `Types::GetUserDefinedFunctionResponse`

Retrieves a specified function definition from the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.get_user_defined_function({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  function_name: "NameString", # required
})

Response structure


resp.user_defined_function.function_name #=> String
resp.user_defined_function.database_name #=> String
resp.user_defined_function.class_name #=> String
resp.user_defined_function.owner_name #=> String
resp.user_defined_function.owner_type #=> String, one of "USER", "ROLE", "GROUP"
resp.user_defined_function.create_time #=> Time
resp.user_defined_function.resource_uris #=> Array
resp.user_defined_function.resource_uris[0].resource_type #=> String, one of "JAR", "FILE", "ARCHIVE"
resp.user_defined_function.resource_uris[0].uri #=> String
resp.user_defined_function.catalog_id #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the function to be retrieved is located. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (required, String) —
The name of the catalog database where the function is located.
:function_name (required, String) —
The name of the function.

Returns:

(Types::GetUserDefinedFunctionResponse) —
Returns a response object which responds to the following methods:
- #user_defined_function => Types::UserDefinedFunction

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 14288

def get_user_defined_function(params = {}, options = {})
  req = build_request(:get_user_defined_function, params)
  req.send_request(options)
end

#get_user_defined_functions(params = {}) ⇒ `Types::GetUserDefinedFunctionsResponse`

Retrieves multiple function definitions from the Data Catalog.

The returned response is a pageable response and is Enumerable. For details on usage see PageableResponse.

Examples:

Request syntax with placeholder values


resp = client.get_user_defined_functions({
  catalog_id: "CatalogIdString",
  database_name: "NameString",
  pattern: "NameString", # required
  next_token: "Token",
  max_results: 1,
})

Response structure


resp.user_defined_functions #=> Array
resp.user_defined_functions[0].function_name #=> String
resp.user_defined_functions[0].database_name #=> String
resp.user_defined_functions[0].class_name #=> String
resp.user_defined_functions[0].owner_name #=> String
resp.user_defined_functions[0].owner_type #=> String, one of "USER", "ROLE", "GROUP"
resp.user_defined_functions[0].create_time #=> Time
resp.user_defined_functions[0].resource_uris #=> Array
resp.user_defined_functions[0].resource_uris[0].resource_type #=> String, one of "JAR", "FILE", "ARCHIVE"
resp.user_defined_functions[0].resource_uris[0].uri #=> String
resp.user_defined_functions[0].catalog_id #=> String
resp.next_token #=> String

Parameters:

params (Hash) (defaults to: {}) —
({})

Options Hash (params):

:catalog_id (String) —
The ID of the Data Catalog where the functions to be retrieved are located. If none is provided, the Amazon Web Services account ID is used by default.
:database_name (String) —
The name of the catalog database where the functions are located. If none is provided, functions from all the databases across the catalog will be returned.
:pattern (required, String) —
An optional function-name pattern string that filters the function definitions returned.
:next_token (String) —
A continuation token, if this is a continuation call.
:max_results (Integer) —
The maximum number of functions to return in one response.

Returns:

(Types::GetUserDefinedFunctionsResponse) —
Returns a response object which responds to the following methods:
- #user_defined_functions => Array<Types::UserDefinedFunction>
- #next_token => String

See Also:

AWS API Documentation

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 14351

def get_user_defined_functions(params = {}, options = {})
  req = build_request(:get_user_defined_functions, params)
  req.send_request(options)
end

#get_workflow(params = {}) ⇒ `Types::GetWorkflowResponse`

Retrieves resource metadata for a workflow.

Examples:

Request syntax with placeholder values


resp = client.get_workflow({
  name: "NameString", # required
  include_graph: false,
})

Response structure


resp.workflow.name #=> String
resp.workflow.description #=> String
resp.workflow.default_run_properties #=> Hash
resp.workflow.default_run_properties["IdString"] #=> String
resp.workflow.created_on #=> Time
resp.workflow.last_modified_on #=> Time
resp.workflow.last_run.name #=> String
resp.workflow.last_run.workflow_run_id #=> String
resp.workflow.last_run.previous_run_id #=> String
resp.workflow.last_run.workflow_run_properties #=> Hash
resp.workflow.last_run.workflow_run_properties["IdString"] #=> String
resp.workflow.last_run.started_on #=> Time
resp.workflow.last_run.completed_on #=> Time
resp.workflow.last_run.status #=> String, one of "RUNNING", "COMPLETED", "STOPPING", "STOPPED", "ERROR"
resp.workflow.last_run.error_message #=> String
resp.workflow.last_run.statistics.total_actions #=> Integer
resp.workflow.last_run.statistics.timeout_actions #=> Integer
resp.workflow.last_run.statistics.failed_actions #=> Integer
resp.workflow.last_run.statistics.stopped_actions #=> Integer
resp.workflow.last_run.statistics.succeeded_actions #=> Integer
resp.workflow.last_run.statistics.running_actions #=> Integer
resp.workflow.last_run.statistics.errored_actions #=> Integer
resp.workflow.last_run.statistics.waiting_actions #=> Integer
resp.workflow.last_run.graph.nodes #=> Array
resp.workflow.last_run.graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflow.last_run.graph.nodes[0].name #=> String
resp.workflow.last_run.graph.nodes[0].unique_id #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND", "EVENT"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT", "ERROR", "WAITING", "EXPIRED"
resp.workflow.last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflow.last_run.graph.nodes[0].trigger_details.

Class: Aws::Glue::Client

Overview

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

API Operations collapse

Instance Method Summary collapse

Methods included from ClientStubs

Methods inherited from Seahorse::Client::Base

Methods included from Seahorse::Client::HandlerBuilder

Constructor Details

#initialize(options) ⇒ Client

Instance Method Details

#batch_create_partition(params = {}) ⇒ Types::BatchCreatePartitionResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_delete_connection(params = {}) ⇒ Types::BatchDeleteConnectionResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_delete_partition(params = {}) ⇒ Types::BatchDeletePartitionResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_delete_table(params = {}) ⇒ Types::BatchDeleteTableResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_delete_table_version(params = {}) ⇒ Types::BatchDeleteTableVersionResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_blueprints(params = {}) ⇒ Types::BatchGetBlueprintsResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_crawlers(params = {}) ⇒ Types::BatchGetCrawlersResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_custom_entity_types(params = {}) ⇒ Types::BatchGetCustomEntityTypesResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_data_quality_result(params = {}) ⇒ Types::BatchGetDataQualityResultResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_dev_endpoints(params = {}) ⇒ Types::BatchGetDevEndpointsResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_jobs(params = {}) ⇒ Types::BatchGetJobsResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_partition(params = {}) ⇒ Types::BatchGetPartitionResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_table_optimizer(params = {}) ⇒ Types::BatchGetTableOptimizerResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_triggers(params = {}) ⇒ Types::BatchGetTriggersResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_get_workflows(params = {}) ⇒ Types::BatchGetWorkflowsResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_put_data_quality_statistic_annotation(params = {}) ⇒ Types::BatchPutDataQualityStatisticAnnotationResponse

Examples:

Request syntax with placeholder values

Response structure

#batch_stop_job_run(params = {}) ⇒ Types::BatchStopJobRunResponse

Examples:

Request syntax with placeholder values

Response structure

#initialize(options) ⇒ `Client`

#batch_create_partition(params = {}) ⇒ `Types::BatchCreatePartitionResponse`

#batch_delete_connection(params = {}) ⇒ `Types::BatchDeleteConnectionResponse`

#batch_delete_partition(params = {}) ⇒ `Types::BatchDeletePartitionResponse`

#batch_delete_table(params = {}) ⇒ `Types::BatchDeleteTableResponse`

#batch_delete_table_version(params = {}) ⇒ `Types::BatchDeleteTableVersionResponse`

#batch_get_blueprints(params = {}) ⇒ `Types::BatchGetBlueprintsResponse`

#batch_get_crawlers(params = {}) ⇒ `Types::BatchGetCrawlersResponse`

#batch_get_custom_entity_types(params = {}) ⇒ `Types::BatchGetCustomEntityTypesResponse`

#batch_get_data_quality_result(params = {}) ⇒ `Types::BatchGetDataQualityResultResponse`

#batch_get_dev_endpoints(params = {}) ⇒ `Types::BatchGetDevEndpointsResponse`

#batch_get_jobs(params = {}) ⇒ `Types::BatchGetJobsResponse`

#batch_get_partition(params = {}) ⇒ `Types::BatchGetPartitionResponse`

#batch_get_table_optimizer(params = {}) ⇒ `Types::BatchGetTableOptimizerResponse`

#batch_get_triggers(params = {}) ⇒ `Types::BatchGetTriggersResponse`

#batch_get_workflows(params = {}) ⇒ `Types::BatchGetWorkflowsResponse`

#batch_put_data_quality_statistic_annotation(params = {}) ⇒ `Types::BatchPutDataQualityStatisticAnnotationResponse`

#batch_stop_job_run(params = {}) ⇒ `Types::BatchStopJobRunResponse`

#batch_update_partition(params = {}) ⇒ `Types::BatchUpdatePartitionResponse`

#cancel_data_quality_rule_recommendation_run(params = {}) ⇒ `Struct`

#cancel_data_quality_ruleset_evaluation_run(params = {}) ⇒ `Struct`

#cancel_ml_task_run(params = {}) ⇒ `Types::CancelMLTaskRunResponse`

#cancel_statement(params = {}) ⇒ `Struct`

#check_schema_version_validity(params = {}) ⇒ `Types::CheckSchemaVersionValidityResponse`

#create_blueprint(params = {}) ⇒ `Types::CreateBlueprintResponse`

#create_catalog(params = {}) ⇒ `Struct`

#create_classifier(params = {}) ⇒ `Struct`

#create_column_statistics_task_settings(params = {}) ⇒ `Struct`

#create_connection(params = {}) ⇒ `Types::CreateConnectionResponse`

#create_crawler(params = {}) ⇒ `Struct`

#create_custom_entity_type(params = {}) ⇒ `Types::CreateCustomEntityTypeResponse`

#create_data_quality_ruleset(params = {}) ⇒ `Types::CreateDataQualityRulesetResponse`

#create_database(params = {}) ⇒ `Struct`

#create_dev_endpoint(params = {}) ⇒ `Types::CreateDevEndpointResponse`

#create_integration(params = {}) ⇒ `Types::CreateIntegrationResponse`

#create_integration_resource_property(params = {}) ⇒ `Types::CreateIntegrationResourcePropertyResponse`

#create_integration_table_properties(params = {}) ⇒ `Struct`

#create_job(params = {}) ⇒ `Types::CreateJobResponse`