Class: Aws::Glue::Client

Inherits:

Seahorse::Client::Base

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

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

• #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_classifier(params = {}) ⇒ Struct

  Creates a classifier in the user's account.

• #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_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_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_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_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.

• #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_import_status(params = {}) ⇒ Types::GetCatalogImportStatusResponse

  Retrieves the status of a migration operation.

• #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_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_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_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_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.

• #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_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_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_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_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_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

• #initialize(options) ⇒ Client constructor

  A new instance of Client.

Methods included from ClientStubs

#api_requests, #stub_data, #stub_responses

Methods inherited from Seahorse::Client::Base

add_plugin, api, clear_plugins, define, new, #operation_names, plugins, remove_plugin, set_api, set_plugins

Methods included from Seahorse::Client::HandlerBuilder

#handle, #handle_request, #handle_response

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 —

  Set to true to disable SDK automatically adding host prefix to default service endpoint when available.

• :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_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.

• :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.

# File 'gems/aws-sdk-glue/lib/aws-sdk-glue/client.rb', line 451

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 561

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 599

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 651

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 709

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 757

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 811

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 925

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 961

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].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_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 1032

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 1096

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_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", "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", "uncompressed", "none"
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_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.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
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"].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.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"
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.format #=> String, one of "json", "csv", "avro", "orc", "parquet", "hudi", "delta"
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].