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Class: Aws::Glue::Client

Inherits:
Seahorse::Client::Base show all
Defined in:
(unknown)

Overview

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

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

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

Region

You can configure a default region in the following locations:

  • ENV['AWS_REGION']
  • Aws.config[:region]

Go here for a list of supported regions.

Credentials

Default credentials are loaded automatically from the following locations:

  • ENV['AWS_ACCESS_KEY_ID'] and ENV['AWS_SECRET_ACCESS_KEY']
  • Aws.config[:credentials]
  • The shared credentials ini file at ~/.aws/credentials (more information)
  • From an instance profile when running on EC2

You can also construct a credentials object from one of the following classes:

Alternatively, you configure credentials with :access_key_id and :secret_access_key:

# load credentials from disk
creds = YAML.load(File.read('/path/to/secrets'))

Aws::Glue::Client.new(
  access_key_id: creds['access_key_id'],
  secret_access_key: creds['secret_access_key']
)

Always load your credentials from outside your application. Avoid configuring credentials statically and never commit them to source control.

Instance Attribute Summary

Attributes inherited from Seahorse::Client::Base

#config, #handlers

Constructor collapse

API Operations collapse

Instance Method Summary collapse

Methods inherited from Seahorse::Client::Base

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

Methods included from Seahorse::Client::HandlerBuilder

#handle, #handle_request, #handle_response

Constructor Details

#initialize(options = {}) ⇒ Aws::Glue::Client

Constructs an API client.

Options Hash (options):

  • :access_key_id (String)

    Used to set credentials statically. See Plugins::RequestSigner for more details.

  • :active_endpoint_cache (Boolean)

    When set to true, a thread polling for endpoints will be running in the background every 60 secs (default). Defaults to false. See Plugins::EndpointDiscovery for more details.

  • :convert_params (Boolean) — default: true

    When true, an attempt is made to coerce request parameters into the required types. See Plugins::ParamConverter for more details.

  • :credentials (required, Credentials)

    Your AWS credentials. The following locations will be searched in order for credentials:

    • :access_key_id, :secret_access_key, and :session_token options
    • ENV['AWS_ACCESS_KEY_ID'], ENV['AWS_SECRET_ACCESS_KEY']
    • HOME/.aws/credentials shared credentials file
    • EC2 instance profile credentials See Plugins::RequestSigner for more details.
  • :disable_host_prefix_injection (Boolean)

    Set to true to disable SDK automatically adding host prefix to default service endpoint when available. See Plugins::EndpointPattern for more details.

  • :endpoint (String)

    A default endpoint is constructed from the :region. See Plugins::RegionalEndpoint for more details.

  • :endpoint_cache_max_entries (Integer)

    Used for the maximum size limit of the LRU cache storing endpoints data for endpoint discovery enabled operations. Defaults to 1000. See Plugins::EndpointDiscovery for more details.

  • :endpoint_cache_max_threads (Integer)

    Used for the maximum threads in use for polling endpoints to be cached, defaults to 10. See Plugins::EndpointDiscovery for more details.

  • :endpoint_cache_poll_interval (Integer)

    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. See Plugins::EndpointDiscovery for more details.

  • :endpoint_discovery (Boolean)

    When set to true, endpoint discovery will be enabled for operations when available. Defaults to false. See Plugins::EndpointDiscovery for more details.

  • :http_continue_timeout (Float) — default: 1

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_idle_timeout (Integer) — default: 5

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_open_timeout (Integer) — default: 15

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_proxy (String)

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_read_timeout (Integer) — default: 60

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :http_wire_trace (Boolean) — default: false

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :log_level (Symbol) — default: :info

    The log level to send messages to the logger at. See Plugins::Logging for more details.

  • :log_formatter (Logging::LogFormatter)

    The log formatter. Defaults to Seahorse::Client::Logging::Formatter.default. See Plugins::Logging for more details.

  • :logger (Logger) — default: nil

    The Logger instance to send log messages to. If this option is not set, logging will be disabled. See Plugins::Logging for more details.

  • :profile (String)

    Used when loading credentials from the shared credentials file at HOME/.aws/credentials. When not specified, 'default' is used. See Plugins::RequestSigner for more details.

  • :raise_response_errors (Boolean) — default: true

    When true, response errors are raised. See Seahorse::Client::Plugins::RaiseResponseErrors for more details.

  • :region (required, String)

    The AWS region to connect to. The region is used to construct the client endpoint. Defaults to ENV['AWS_REGION']. Also checks AMAZON_REGION and AWS_DEFAULT_REGION. See Plugins::RegionalEndpoint for more details.

  • :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 and auth errors from expired credentials. See Plugins::RetryErrors for more details.

  • :secret_access_key (String)

    Used to set credentials statically. See Plugins::RequestSigner for more details.

  • :session_token (String)

    Used to set credentials statically. See Plugins::RequestSigner for more details.

  • :simple_json (Boolean) — default: false

    Disables request parameter conversion, validation, and formatting. Also disable response data type conversions. 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.

    When :simple_json is enabled, the request parameters hash must be formatted exactly as the DynamoDB API expects. See Plugins::Protocols::JsonRpc for more details.

  • :ssl_ca_bundle (String)

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :ssl_ca_directory (String)

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :ssl_ca_store (String)

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :ssl_verify_peer (Boolean) — default: true

    See Seahorse::Client::Plugins::NetHttp for more details.

  • :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. See Plugins::StubResponses for more details.

  • :validate_params (Boolean) — default: true

    When true, request parameters are validated before sending the request. See Plugins::ParamValidator for more details.

Instance Method Details

#batch_create_partition(options = {}) ⇒ 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",
        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,
      },
      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

Options Hash (options):

  • :catalog_id (String)

    The ID of the catalog in which the partition is to be created. Currently, this should be the AWS 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:

See Also:

#batch_delete_connection(options = {}) ⇒ 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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which the connections reside. If none is provided, the AWS account ID is used by default.

  • :connection_name_list (required, Array<String>)

    A list of names of the connections to delete.

Returns:

See Also:

#batch_delete_partition(options = {}) ⇒ 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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the partition to be deleted resides. If none is provided, the AWS 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:

See Also:

#batch_delete_table(options = {}) ⇒ 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. AWS 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
})

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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the table resides. If none is provided, the AWS 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.

Returns:

See Also:

#batch_delete_table_version(options = {}) ⇒ 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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the tables reside. If none is provided, the AWS 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:

See Also:

#batch_get_crawlers(options = {}) ⇒ 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.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.dynamo_db_targets #=> Array
resp.crawlers[0].targets.dynamo_db_targets[0].path #=> String
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].database_name #=> String
resp.crawlers[0].description #=> String
resp.crawlers[0].classifiers #=> Array
resp.crawlers[0].classifiers[0] #=> String
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].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_not_found #=> Array
resp.crawlers_not_found[0] #=> String

Options Hash (options):

  • :crawler_names (required, Array<String>)

    A list of crawler names, which might be the names returned from the ListCrawlers operation.

Returns:

See Also:

#batch_get_dev_endpoints(options = {}) ⇒ 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"
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

Options Hash (options):

  • :dev_endpoint_names (required, Array<String>)

    The list of DevEndpoint names, which might be the names returned from the ListDevEndpoint operation.

Returns:

See Also:

#batch_get_jobs(options = {}) ⇒ 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].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].default_arguments #=> Hash
resp.jobs[0].default_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"
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_not_found #=> Array
resp.jobs_not_found[0] #=> String

Options Hash (options):

  • :job_names (required, Array<String>)

    A list of job names, which might be the names returned from the ListJobs operation.

Returns:

See Also:

#batch_get_partition(options = {}) ⇒ Types::BatchGetPartitionResponse

Retrieves partitions in a batch request.

Examples:

Request syntax with placeholder values


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

Response structure


resp.partitions #=> Array
resp.partitions[0].values #=> Array
resp.partitions[0].values[0] #=> String
resp.partitions[0].database_name #=> String
resp.partitions[0].table_name #=> String
resp.partitions[0].creation_time #=> Time
resp.partitions[0].last_access_time #=> Time
resp.partitions[0].storage_descriptor.columns #=> Array
resp.partitions[0].storage_descriptor.columns[0].name #=> String
resp.partitions[0].storage_descriptor.columns[0].type #=> String
resp.partitions[0].storage_descriptor.columns[0].comment #=> String
resp.partitions[0].storage_descriptor.columns[0].parameters #=> Hash
resp.partitions[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.location #=> String
resp.partitions[0].storage_descriptor.input_format #=> String
resp.partitions[0].storage_descriptor.output_format #=> String
resp.partitions[0].storage_descriptor.compressed #=> true/false
resp.partitions[0].storage_descriptor.number_of_buckets #=> Integer
resp.partitions[0].storage_descriptor.serde_info.name #=> String
resp.partitions[0].storage_descriptor.serde_info.serialization_library #=> String
resp.partitions[0].storage_descriptor.serde_info.parameters #=> Hash
resp.partitions[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.bucket_columns #=> Array
resp.partitions[0].storage_descriptor.bucket_columns[0] #=> String
resp.partitions[0].storage_descriptor.sort_columns #=> Array
resp.partitions[0].storage_descriptor.sort_columns[0].column #=> String
resp.partitions[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.partitions[0].storage_descriptor.parameters #=> Hash
resp.partitions[0].storage_descriptor.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.partitions[0].storage_descriptor.stored_as_sub_directories #=> true/false
resp.partitions[0].parameters #=> Hash
resp.partitions[0].parameters["KeyString"] #=> String
resp.partitions[0].last_analyzed_time #=> Time
resp.unprocessed_keys #=> Array
resp.unprocessed_keys[0].values #=> Array
resp.unprocessed_keys[0].values[0] #=> String

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the partitions in question reside. If none is supplied, the AWS account ID is used by default.

  • :database_name (required, String)

    The name of the catalog database where the partitions reside.

  • :table_name (required, String)

    The name of the partitions\' table.

  • :partitions_to_get (required, Array<Types::PartitionValueList>)

    A list of partition values identifying the partitions to retrieve.

Returns:

See Also:

#batch_get_triggers(options = {}) ⇒ Types::BatchGetTriggersResponse

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

Examples:

Request syntax with placeholder values


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

Response structure


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

Options Hash (options):

  • :trigger_names (required, Array<String>)

    A list of trigger names, which may be the names returned from the ListTriggers operation.

Returns:

See Also:

#batch_get_workflows(options = {}) ⇒ Types::BatchGetWorkflowsResponse

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

Examples:

Request syntax with placeholder values


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

Response structure


resp.workflows #=> Array
resp.workflows[0].name #=> String
resp.workflows[0].description #=> String
resp.workflows[0].default_run_properties #=> Hash
resp.workflows[0].default_run_properties["IdString"] #=> String
resp.workflows[0].created_on #=> Time
resp.workflows[0].last_modified_on #=> Time
resp.workflows[0].last_run.name #=> String
resp.workflows[0].last_run.workflow_run_id #=> String
resp.workflows[0].last_run.workflow_run_properties #=> Hash
resp.workflows[0].last_run.workflow_run_properties["IdString"] #=> String
resp.workflows[0].last_run.started_on #=> Time
resp.workflows[0].last_run.completed_on #=> Time
resp.workflows[0].last_run.status #=> String, one of "RUNNING", "COMPLETED"
resp.workflows[0].last_run.statistics.total_actions #=> Integer
resp.workflows[0].last_run.statistics.timeout_actions #=> Integer
resp.workflows[0].last_run.statistics.failed_actions #=> Integer
resp.workflows[0].last_run.statistics.stopped_actions #=> Integer
resp.workflows[0].last_run.statistics.succeeded_actions #=> Integer
resp.workflows[0].last_run.statistics.running_actions #=> Integer
resp.workflows[0].last_run.graph.nodes #=> Array
resp.workflows[0].last_run.graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflows[0].last_run.graph.nodes[0].name #=> String
resp.workflows[0].last_run.graph.nodes[0].unique_id #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflows[0].last_run.graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "SUCCEEDED", "CANCELLED", "FAILED"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs #=> Array
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X"
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].last_run.graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls #=> Array
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "SUCCEEDED", "CANCELLED", "FAILED"
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.workflows[0].last_run.graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.workflows[0].last_run.graph.edges #=> Array
resp.workflows[0].last_run.graph.edges[0].source_id #=> String
resp.workflows[0].last_run.graph.edges[0].destination_id #=> String
resp.workflows[0].graph.nodes #=> Array
resp.workflows[0].graph.nodes[0].type #=> String, one of "CRAWLER", "JOB", "TRIGGER"
resp.workflows[0].graph.nodes[0].name #=> String
resp.workflows[0].graph.nodes[0].unique_id #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.workflow_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.id #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.type #=> String, one of "SCHEDULED", "CONDITIONAL", "ON_DEMAND"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.state #=> String, one of "CREATING", "CREATED", "ACTIVATING", "ACTIVATED", "DEACTIVATING", "DEACTIVATED", "DELETING", "UPDATING"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.description #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.schedule #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions #=> Array
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].job_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].arguments #=> Hash
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].arguments["GenericString"] #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].timeout #=> Integer
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].security_configuration #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].graph.nodes[0].trigger_details.trigger.actions[0].crawler_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.logical #=> String, one of "AND", "ANY"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions #=> Array
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].logical_operator #=> String, one of "EQUALS"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].job_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawler_name #=> String
resp.workflows[0].graph.nodes[0].trigger_details.trigger.predicate.conditions[0].crawl_state #=> String, one of "RUNNING", "SUCCEEDED", "CANCELLED", "FAILED"
resp.workflows[0].graph.nodes[0].job_details.job_runs #=> Array
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].attempt #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].previous_run_id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].trigger_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].started_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].last_modified_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].completed_on #=> Time
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].arguments #=> Hash
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].arguments["GenericString"] #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].error_message #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs #=> Array
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].job_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].predecessor_runs[0].run_id #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].allocated_capacity #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].execution_time #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].timeout #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].max_capacity #=> Float
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X"
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].number_of_workers #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].security_configuration #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].log_group_name #=> String
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.workflows[0].graph.nodes[0].job_details.job_runs[0].glue_version #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls #=> Array
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].state #=> String, one of "RUNNING", "SUCCEEDED", "CANCELLED", "FAILED"
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].started_on #=> Time
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].completed_on #=> Time
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].error_message #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].log_group #=> String
resp.workflows[0].graph.nodes[0].crawler_details.crawls[0].log_stream #=> String
resp.workflows[0].graph.edges #=> Array
resp.workflows[0].graph.edges[0].source_id #=> String
resp.workflows[0].graph.edges[0].destination_id #=> String
resp.missing_workflows #=> Array
resp.missing_workflows[0] #=> String

Options Hash (options):

  • :names (required, Array<String>)

    A list of workflow names, which may be the names returned from the ListWorkflows operation.

  • :include_graph (Boolean)

    Specifies whether to include a graph when returning the workflow resource metadata.

Returns:

See Also:

#batch_stop_job_run(options = {}) ⇒ Types::BatchStopJobRunResponse

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

Examples:

Request syntax with placeholder values


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

Response structure


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

Options Hash (options):

  • :job_name (required, String)

    The name of the job definition for which to stop job runs.

  • :job_run_ids (required, Array<String>)

    A list of the JobRunIds that should be stopped for that job definition.

Returns:

See Also:

#cancel_ml_task_run(options = {}) ⇒ Types::CancelMLTaskRunResponse

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

Examples:

Request syntax with placeholder values


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

Response structure


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

Options Hash (options):

  • :transform_id (required, String)

    The unique identifier of the machine learning transform.

  • :task_run_id (required, String)

    A unique identifier for the task run.

Returns:

See Also:

#create_classifier(options = {}) ⇒ Struct

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

Examples:

Request syntax with placeholder values


resp = client.create_classifier({
  grok_classifier: {
    classification: "Classification", # required
    name: "NameString", # required
    grok_pattern: "GrokPattern", # required
    custom_patterns: "CustomPatterns",
  },
  xml_classifier: {
    classification: "Classification", # required
    name: "NameString", # required
    row_tag: "RowTag",
  },
  json_classifier: {
    name: "NameString", # required
    json_path: "JsonPath", # required
  },
  csv_classifier: {
    name: "NameString", # required
    delimiter: "CsvColumnDelimiter",
    quote_symbol: "CsvQuoteSymbol",
    contains_header: "UNKNOWN", # accepts UNKNOWN, PRESENT, ABSENT
    header: ["NameString"],
    disable_value_trimming: false,
    allow_single_column: false,
  },
})

Options Hash (options):

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#create_connection(options = {}) ⇒ Struct

Creates a connection definition in the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.create_connection({
  catalog_id: "CatalogIdString",
  connection_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    connection_type: "JDBC", # required, accepts JDBC, SFTP
    match_criteria: ["NameString"],
    connection_properties: { # required
      "HOST" => "ValueString",
    },
    physical_connection_requirements: {
      subnet_id: "NameString",
      security_group_id_list: ["NameString"],
      availability_zone: "NameString",
    },
  },
})

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which to create the connection. If none is provided, the AWS account ID is used by default.

  • :connection_input (required, Types::ConnectionInput)

    A ConnectionInput object defining the connection to create.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#create_crawler(options = {}) ⇒ Struct

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

Examples:

Request syntax with placeholder values


resp = client.create_crawler({
  name: "NameString", # required
  role: "Role", # required
  database_name: "DatabaseName",
  description: "DescriptionString",
  targets: { # required
    s3_targets: [
      {
        path: "Path",
        exclusions: ["Path"],
      },
    ],
    jdbc_targets: [
      {
        connection_name: "ConnectionName",
        path: "Path",
        exclusions: ["Path"],
      },
    ],
    dynamo_db_targets: [
      {
        path: "Path",
      },
    ],
    catalog_targets: [
      {
        database_name: "NameString", # required
        tables: ["NameString"], # required
      },
    ],
  },
  schedule: "CronExpression",
  classifiers: ["NameString"],
  table_prefix: "TablePrefix",
  schema_change_policy: {
    update_behavior: "LOG", # accepts LOG, UPDATE_IN_DATABASE
    delete_behavior: "LOG", # accepts LOG, DELETE_FROM_DATABASE, DEPRECATE_IN_DATABASE
  },
  configuration: "CrawlerConfiguration",
  crawler_security_configuration: "CrawlerSecurityConfiguration",
  tags: {
    "TagKey" => "TagValue",
  },
})

Options Hash (options):

  • :name (required, String)

    Name of the new crawler.

  • :role (required, String)

    The IAM role or Amazon Resource Name (ARN) of an IAM role used by the new crawler to access customer resources.

  • :database_name (String)

    The AWS Glue database where results are written, such as: arn:aws:daylight:us-east-1::database/sometable/*.

  • :description (String)

    A description of the new crawler.

  • :targets (required, Types::CrawlerTargets)

    A list of collection of targets to crawl.

  • :schedule (String)

    A cron expression used to specify the schedule. For more information, see Time-Based Schedules for Jobs and Crawlers. For example, to run something every day at 12:15 UTC, specify cron(15 12 * * ? *).

  • :classifiers (Array<String>)

    A list of custom classifiers that the user has registered. By default, all built-in classifiers are included in a crawl, but these custom classifiers always override the default classifiers for a given classification.

  • :table_prefix (String)

    The table prefix used for catalog tables that are created.

  • :schema_change_policy (Types::SchemaChangePolicy)

    The policy for the crawler\'s update and deletion behavior.

  • :configuration (String)

    The crawler configuration information. This versioned JSON string allows users to specify aspects of a crawler\'s behavior. For more information, see Configuring a Crawler.

  • :crawler_security_configuration (String)

    The name of the SecurityConfiguration structure to be used by this crawler.

  • :tags (Hash<String,String>)

    The tags to use with this crawler request. You can use tags to limit access to the crawler. For more information, see AWS Tags in AWS Glue.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#create_database(options = {}) ⇒ Struct

Creates a new database in a Data Catalog.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which to create the database. If none is provided, the AWS account ID is used by default.

  • :database_input (required, Types::DatabaseInput)

    The metadata for the database.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#create_dev_endpoint(options = {}) ⇒ Types::CreateDevEndpointResponse

Creates a new development endpoint.

Examples:

Request syntax with placeholder values


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

Response structure


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

Options Hash (options):

  • :endpoint_name (required, String)

    The name to be assigned to the new DevEndpoint.

  • :role_arn (required, String)

    The IAM role for the DevEndpoint.

  • :security_group_ids (Array<String>)

    Security group IDs for the security groups to be used by the new DevEndpoint.

  • :subnet_id (String)

    The subnet ID for the new DevEndpoint to use.

  • :public_key (String)

    The public key to be used by this DevEndpoint for authentication. This attribute is provided for backward compatibility because the recommended attribute to use is public keys.

  • :public_keys (Array<String>)

    A list of public keys to be used by the development endpoints for authentication. The use of this attribute is preferred over a single public key because the public keys allow you to have a different private key per client.

    If you previously created an endpoint with a public key, you must remove that key to be able to set a list of public keys. Call the UpdateDevEndpoint API with the public key content in the deletePublicKeys attribute, and the list of new keys in the addPublicKeys attribute.

  • :number_of_nodes (Integer)

    The number of AWS Glue Data Processing Units (DPUs) to allocate to this DevEndpoint.

  • :worker_type (String)

    The type of predefined worker that is allocated to the development endpoint. Accepts a value of Standard, G.1X, or G.2X.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

    Known issue: when a development endpoint is created with the G.2X WorkerType configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk.

  • :number_of_workers (Integer)

    The number of workers of a defined workerType that are allocated to the development endpoint.

    The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.

  • :extra_python_libs_s3_path (String)

    The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your DevEndpoint. Multiple values must be complete paths separated by a comma.

    You can only use pure Python libraries with a DevEndpoint. Libraries that rely on C extensions, such as the pandas Python data analysis library, are not yet supported.

  • :extra_jars_s3_path (String)

    The path to one or more Java .jar files in an S3 bucket that should be loaded in your DevEndpoint.

  • :security_configuration (String)

    The name of the SecurityConfiguration structure to be used with this DevEndpoint.

  • :tags (Hash<String,String>)

    The tags to use with this DevEndpoint. You may use tags to limit access to the DevEndpoint. For more information about tags in AWS Glue, see AWS Tags in AWS Glue in the developer guide.

  • :arguments (Hash<String,String>)

    A map of arguments used to configure the DevEndpoint.

Returns:

See Also:

#create_job(options = {}) ⇒ Types::CreateJobResponse

Creates a new job definition.

Examples:

Request syntax with placeholder values


resp = client.create_job({
  name: "NameString", # required
  description: "DescriptionString",
  log_uri: "UriString",
  role: "RoleString", # required
  execution_property: {
    max_concurrent_runs: 1,
  },
  command: { # required
    name: "GenericString",
    script_location: "ScriptLocationString",
    python_version: "PythonVersionString",
  },
  default_arguments: {
    "GenericString" => "GenericString",
  },
  connections: {
    connections: ["GenericString"],
  },
  max_retries: 1,
  allocated_capacity: 1,
  timeout: 1,
  max_capacity: 1.0,
  security_configuration: "NameString",
  tags: {
    "TagKey" => "TagValue",
  },
  notification_property: {
    notify_delay_after: 1,
  },
  glue_version: "GlueVersionString",
  number_of_workers: 1,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X
})

Response structure


resp.name #=> String

Options Hash (options):

  • :name (required, String)

    The name you assign to this job definition. It must be unique in your account.

  • :description (String)

    Description of the job being defined.

  • :log_uri (String)

    This field is reserved for future use.

  • :role (required, String)

    The name or Amazon Resource Name (ARN) of the IAM role associated with this job.

  • :execution_property (Types::ExecutionProperty)

    An ExecutionProperty specifying the maximum number of concurrent runs allowed for this job.

  • :command (required, Types::JobCommand)

    The JobCommand that executes this job.

  • :default_arguments (Hash<String,String>)

    The default arguments for this job.

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

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

    For information about the key-value pairs that AWS Glue consumes to set up your job, see the Special Parameters Used by AWS Glue topic in the developer guide.

  • :connections (Types::ConnectionsList)

    The connections used for this job.

  • :max_retries (Integer)

    The maximum number of times to retry this job if it fails.

  • :allocated_capacity (Integer)

    This parameter is deprecated. Use MaxCapacity instead.

    The number of AWS Glue data processing units (DPUs) to allocate to this Job. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page.

  • :timeout (Integer)

    The job timeout in minutes. This is the maximum time that a job run can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).

  • :max_capacity (Float)

    The number of AWS Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page.

    Do not set Max Capacity if using WorkerType and NumberOfWorkers.

    The value that can be allocated for MaxCapacity depends on whether you are running a Python shell job or an Apache Spark ETL job:

    • When you specify a Python shell job (JobCommand.Name=\"pythonshell\"), you can allocate either 0.0625 or 1 DPU. The default is 0.0625 DPU.

    • When you specify an Apache Spark ETL job (JobCommand.Name=\"glueetl\"), you can allocate from 2 to 100 DPUs. The default is 10 DPUs. This job type cannot have a fractional DPU allocation.

  • :security_configuration (String)

    The name of the SecurityConfiguration structure to be used with this job.

  • :tags (Hash<String,String>)

    The tags to use with this job. You may use tags to limit access to the job. For more information about tags in AWS Glue, see AWS Tags in AWS Glue in the developer guide.

  • :notification_property (Types::NotificationProperty)

    Specifies configuration properties of a job notification.

  • :glue_version (String)

    Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for jobs of type Spark.

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

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

  • :number_of_workers (Integer)

    The number of workers of a defined workerType that are allocated when a job runs.

    The maximum number of workers you can define are 299 for G.1X, and 149 for G.2X.

  • :worker_type (String)

    The type of predefined worker that is allocated when a job runs. Accepts a value of Standard, G.1X, or G.2X.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

    • For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

    • For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

Returns:

See Also:

#create_ml_transform(options = {}) ⇒ Types::CreateMLTransformResponse

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

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

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

Examples:

Request syntax with placeholder values


resp = client.create_ml_transform({
  name: "NameString", # required
  description: "DescriptionString",
  input_record_tables: [ # required
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
      catalog_id: "NameString",
      connection_name: "NameString",
    },
  ],
  parameters: { # required
    transform_type: "FIND_MATCHES", # required, accepts FIND_MATCHES
    find_matches_parameters: {
      primary_key_column_name: "ColumnNameString",
      precision_recall_tradeoff: 1.0,
      accuracy_cost_tradeoff: 1.0,
      enforce_provided_labels: false,
    },
  },
  role: "RoleString", # required
  max_capacity: 1.0,
  worker_type: "Standard", # accepts Standard, G.1X, G.2X
  number_of_workers: 1,
  timeout: 1,
  max_retries: 1,
})

Response structure


resp.transform_id #=> String

Options Hash (options):

  • :name (required, String)

    The unique name that you give the transform when you create it.

  • :description (String)

    A description of the machine learning transform that is being defined. The default is an empty string.

  • :input_record_tables (required, Array<Types::GlueTable>)

    A list of AWS Glue table definitions used by the transform.

  • :parameters (required, Types::TransformParameters)

    The algorithmic parameters that are specific to the transform type used. Conditionally dependent on the transform type.

  • :role (required, String)

    The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. Ensure that this role has permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries that are used by the task run for this transform.

  • :max_capacity (Float)

    The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page.

    When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

  • :worker_type (String)

    The type of predefined worker that is allocated when this task runs. Accepts a value of Standard, G.1X, or G.2X.

    • For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.

    • For the G.1X worker type, each worker provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

    • For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

  • :number_of_workers (Integer)

    The number of workers of a defined workerType that are allocated when this task runs.

  • :timeout (Integer)

    The timeout of the task run for this transform in minutes. This is the maximum time that a task run for this transform can consume resources before it is terminated and enters TIMEOUT status. The default is 2,880 minutes (48 hours).

  • :max_retries (Integer)

    The maximum number of times to retry a task for this transform after a task run fails.

Returns:

See Also:

#create_partition(options = {}) ⇒ Struct

Creates a new partition.

Examples:

Request syntax with placeholder values


resp = client.create_partition({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  partition_input: { # required
    values: ["ValueString"],
    last_access_time: Time.now,
    storage_descriptor: {
      columns: [
        {
          name: "NameString", # required
          type: "ColumnTypeString",
          comment: "CommentString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
      ],
      location: "LocationString",
      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,
    },
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
    last_analyzed_time: Time.now,
  },
})

Options Hash (options):

  • :catalog_id (String)

    The AWS account ID of the catalog in which the partition is to be created.

  • :database_name (required, String)

    The name of the metadata database in which the partition is to be created.

  • :table_name (required, String)

    The name of the metadata table in which the partition is to be created.

  • :partition_input (required, Types::PartitionInput)

    A PartitionInput structure defining the partition to be created.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#create_script(options = {}) ⇒ Types::CreateScriptResponse

Transforms a directed acyclic graph (DAG) into code.

Examples:

Request syntax with placeholder values


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

Response structure


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

Options Hash (options):

  • :dag_nodes (Array<Types::CodeGenNode>)

    A list of the nodes in the DAG.

  • :dag_edges (Array<Types::CodeGenEdge>)

    A list of the edges in the DAG.

  • :language (String)

    The programming language of the resulting code from the DAG.

Returns:

See Also:

#create_security_configuration(options = {}) ⇒ Types::CreateSecurityConfigurationResponse

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

Examples:

Request syntax with placeholder values


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

Response structure


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

Options Hash (options):

  • :name (required, String)

    The name for the new security configuration.

  • :encryption_configuration (required, Types::EncryptionConfiguration)

    The encryption configuration for the new security configuration.

Returns:

See Also:

#create_table(options = {}) ⇒ Struct

Creates a new table definition in the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.create_table({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_input: { # required
    name: "NameString", # required
    description: "DescriptionString",
    owner: "NameString",
    last_access_time: Time.now,
    last_analyzed_time: Time.now,
    retention: 1,
    storage_descriptor: {
      columns: [
        {
          name: "NameString", # required
          type: "ColumnTypeString",
          comment: "CommentString",
          parameters: {
            "KeyString" => "ParametersMapValue",
          },
        },
      ],
      location: "LocationString",
      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,
    },
    partition_keys: [
      {
        name: "NameString", # required
        type: "ColumnTypeString",
        comment: "CommentString",
        parameters: {
          "KeyString" => "ParametersMapValue",
        },
      },
    ],
    view_original_text: "ViewTextString",
    view_expanded_text: "ViewTextString",
    table_type: "TableTypeString",
    parameters: {
      "KeyString" => "ParametersMapValue",
    },
  },
})

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which to create the Table. If none is supplied, the AWS account ID is used by default.

  • :database_name (required, String)

    The catalog database in which to create the new table. For Hive compatibility, this name is entirely lowercase.

  • :table_input (required, Types::TableInput)

    The TableInput object that defines the metadata table to create in the catalog.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#create_trigger(options = {}) ⇒ Types::CreateTriggerResponse

Creates a new trigger.

Examples:

Request syntax with placeholder values


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

Response structure


resp.name #=> String

Options Hash (options):

  • :name (required, String)

    The name of the trigger.

  • :workflow_name (String)

    The name of the workflow associated with the trigger.

  • :type (required, String)

    The type of the new trigger.

  • :schedule (String)

    A cron expression used to specify the schedule (see Time-Based Schedules for Jobs and Crawlers. For example, to run something every day at 12:15 UTC, you would specify: cron(15 12 * * ? *).

    This field is required when the trigger type is SCHEDULED.

  • :predicate (Types::Predicate)

    A predicate to specify when the new trigger should fire.

    This field is required when the trigger type is CONDITIONAL.

  • :actions (required, Array<Types::Action>)

    The actions initiated by this trigger when it fires.

  • :description (String)

    A description of the new trigger.

  • :start_on_creation (Boolean)

    Set to true to start SCHEDULED and CONDITIONAL triggers when created. True is not supported for ON_DEMAND triggers.

  • :tags (Hash<String,String>)

    The tags to use with this trigger. You may use tags to limit access to the trigger. For more information about tags in AWS Glue, see AWS Tags in AWS Glue in the developer guide.

Returns:

See Also:

#create_user_defined_function(options = {}) ⇒ Struct

Creates a new function definition in the Data Catalog.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which to create the function. If none is provided, the AWS account ID is used by default.

  • :database_name (required, String)

    The name of the catalog database in which to create the function.

  • :function_input (required, Types::UserDefinedFunctionInput)

    A FunctionInput object that defines the function to create in the Data Catalog.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#create_workflow(options = {}) ⇒ Types::CreateWorkflowResponse

Creates a new workflow.

Examples:

Request syntax with placeholder values


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

Response structure


resp.name #=> String

Options Hash (options):

  • :name (required, String)

    The name to be assigned to the workflow. It should be unique within your account.

  • :description (String)

    A description of the workflow.

  • :default_run_properties (Hash<String,String>)

    A collection of properties to be used as part of each execution of the workflow.

  • :tags (Hash<String,String>)

    The tags to be used with this workflow.

Returns:

See Also:

#delete_classifier(options = {}) ⇒ Struct

Removes a classifier from the Data Catalog.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :name (required, String)

    Name of the classifier to remove.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_connection(options = {}) ⇒ Struct

Deletes a connection from the Data Catalog.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which the connection resides. If none is provided, the AWS account ID is used by default.

  • :connection_name (required, String)

    The name of the connection to delete.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_crawler(options = {}) ⇒ Struct

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

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :name (required, String)

    The name of the crawler to remove.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_database(options = {}) ⇒ Struct

Removes a specified database from a Data Catalog.

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

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

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which the database resides. If none is provided, the AWS account ID is used by default.

  • :name (required, String)

    The name of the database to delete. For Hive compatibility, this must be all lowercase.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_dev_endpoint(options = {}) ⇒ Struct

Deletes a specified development endpoint.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :endpoint_name (required, String)

    The name of the DevEndpoint.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_job(options = {}) ⇒ Types::DeleteJobResponse

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

Examples:

Request syntax with placeholder values


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

Response structure


resp.job_name #=> String

Options Hash (options):

  • :job_name (required, String)

    The name of the job definition to delete.

Returns:

See Also:

#delete_ml_transform(options = {}) ⇒ Types::DeleteMLTransformResponse

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

Examples:

Request syntax with placeholder values


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

Response structure


resp.transform_id #=> String

Options Hash (options):

  • :transform_id (required, String)

    The unique identifier of the transform to delete.

Returns:

See Also:

#delete_partition(options = {}) ⇒ Struct

Deletes a specified partition.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the partition to be deleted resides. If none is provided, the AWS account ID is used by default.

  • :database_name (required, String)

    The name of the catalog database in which the table in question resides.

  • :table_name (required, String)

    The name of the table that contains the partition to be deleted.

  • :partition_values (required, Array<String>)

    The values that define the partition.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_resource_policy(options = {}) ⇒ Struct

Deletes a specified policy.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :policy_hash_condition (String)

    The hash value returned when this policy was set.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_security_configuration(options = {}) ⇒ Struct

Deletes a specified security configuration.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :name (required, String)

    The name of the security configuration to delete.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_table(options = {}) ⇒ Struct

Removes a table definition from the Data Catalog.

After completing this operation, you no longer have access to the table versions and partitions that belong to the deleted table. AWS 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 DeleteTable, use DeleteTableVersion or BatchDeleteTableVersion, and DeletePartition or BatchDeletePartition, to delete any resources that belong to the table.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the table resides. If none is provided, the AWS account ID is used by default.

  • :database_name (required, String)

    The name of the catalog database in which the table resides. For Hive compatibility, this name is entirely lowercase.

  • :name (required, String)

    The name of the table to be deleted. For Hive compatibility, this name is entirely lowercase.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_table_version(options = {}) ⇒ Struct

Deletes a specified version of a table.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the tables reside. If none is provided, the AWS account ID is used by default.

  • :database_name (required, String)

    The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.

  • :table_name (required, String)

    The name of the table. For Hive compatibility, this name is entirely lowercase.

  • :version_id (required, String)

    The ID of the table version to be deleted. A VersionID is a string representation of an integer. Each version is incremented by 1.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_trigger(options = {}) ⇒ Types::DeleteTriggerResponse

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

Examples:

Request syntax with placeholder values


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

Response structure


resp.name #=> String

Options Hash (options):

  • :name (required, String)

    The name of the trigger to delete.

Returns:

See Also:

#delete_user_defined_function(options = {}) ⇒ Struct

Deletes an existing function definition from the Data Catalog.

Examples:

Request syntax with placeholder values


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

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the function to be deleted is located. If none is supplied, the AWS account ID is used by default.

  • :database_name (required, String)

    The name of the catalog database where the function is located.

  • :function_name (required, String)

    The name of the function definition to be deleted.

Returns:

  • (Struct)

    Returns an empty response.

See Also:

#delete_workflow(options = {}) ⇒ Types::DeleteWorkflowResponse

Deletes a workflow.

Examples:

Request syntax with placeholder values


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

Response structure


resp.name #=> String

Options Hash (options):

  • :name (required, String)

    Name of the workflow to be deleted.

Returns:

See Also:

#get_catalog_import_status(options = {}) ⇒ Types::GetCatalogImportStatusResponse

Retrieves the status of a migration operation.

Examples:

Request syntax with placeholder values


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

Response structure


resp.import_status.import_completed #=> true/false
resp.import_status.import_time #=> Time
resp.import_status.imported_by #=> String

Options Hash (options):

  • :catalog_id (String)

    The ID of the catalog to migrate. Currently, this should be the AWS account ID.

Returns:

See Also:

#get_classifier(options = {}) ⇒ Types::GetClassifierResponse

Retrieve a classifier by name.

Examples:

Request syntax with placeholder values


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

Response structure


resp.classifier.grok_classifier.name #=> String
resp.classifier.grok_classifier.classification #=> String
resp.classifier.grok_classifier.creation_time #=> Time
resp.classifier.grok_classifier.last_updated #=> Time
resp.classifier.grok_classifier.version #=> Integer
resp.classifier.grok_classifier.grok_pattern #=> String
resp.classifier.grok_classifier.custom_patterns #=> String
resp.classifier.xml_classifier.name #=> String
resp.classifier.xml_classifier.classification #=> String
resp.classifier.xml_classifier.creation_time #=> Time
resp.classifier.xml_classifier.last_updated #=> Time
resp.classifier.xml_classifier.version #=> Integer
resp.classifier.xml_classifier.row_tag #=> String
resp.classifier.json_classifier.name #=> String
resp.classifier.json_classifier.creation_time #=> Time
resp.classifier.json_classifier.last_updated #=> Time
resp.classifier.json_classifier.version #=> Integer
resp.classifier.json_classifier.json_path #=> String
resp.classifier.csv_classifier.name #=> String
resp.classifier.csv_classifier.creation_time #=> Time
resp.classifier.csv_classifier.last_updated #=> Time
resp.classifier.csv_classifier.version #=> Integer
resp.classifier.csv_classifier.delimiter #=> String
resp.classifier.csv_classifier.quote_symbol #=> String
resp.classifier.csv_classifier.contains_header #=> String, one of "UNKNOWN", "PRESENT", "ABSENT"
resp.classifier.csv_classifier.header #=> Array
resp.classifier.csv_classifier.header[0] #=> String
resp.classifier.csv_classifier.disable_value_trimming #=> true/false
resp.classifier.csv_classifier.allow_single_column #=> true/false

Options Hash (options):

  • :name (required, String)

    Name of the classifier to retrieve.

Returns:

See Also:

#get_classifiers(options = {}) ⇒ Types::GetClassifiersResponse

Lists all classifier objects in the Data Catalog.

Examples:

Request syntax with placeholder values


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

Response structure


resp.classifiers #=> Array
resp.classifiers[0].grok_classifier.name #=> String
resp.classifiers[0].grok_classifier.classification #=> String
resp.classifiers[0].grok_classifier.creation_time #=> Time
resp.classifiers[0].grok_classifier.last_updated #=> Time
resp.classifiers[0].grok_classifier.version #=> Integer
resp.classifiers[0].grok_classifier.grok_pattern #=> String
resp.classifiers[0].grok_classifier.custom_patterns #=> String
resp.classifiers[0].xml_classifier.name #=> String
resp.classifiers[0].xml_classifier.classification #=> String
resp.classifiers[0].xml_classifier.creation_time #=> Time
resp.classifiers[0].xml_classifier.last_updated #=> Time
resp.classifiers[0].xml_classifier.version #=> Integer
resp.classifiers[0].xml_classifier.row_tag #=> String
resp.classifiers[0].json_classifier.name #=> String
resp.classifiers[0].json_classifier.creation_time #=> Time
resp.classifiers[0].json_classifier.last_updated #=> Time
resp.classifiers[0].json_classifier.version #=> Integer
resp.classifiers[0].json_classifier.json_path #=> String
resp.classifiers[0].csv_classifier.name #=> String
resp.classifiers[0].csv_classifier.creation_time #=> Time
resp.classifiers[0].csv_classifier.last_updated #=> Time
resp.classifiers[0].csv_classifier.version #=> Integer
resp.classifiers[0].csv_classifier.delimiter #=> String
resp.classifiers[0].csv_classifier.quote_symbol #=> String
resp.classifiers[0].csv_classifier.contains_header #=> String, one of "UNKNOWN", "PRESENT", "ABSENT"
resp.classifiers[0].csv_classifier.header #=> Array
resp.classifiers[0].csv_classifier.header[0] #=> String
resp.classifiers[0].csv_classifier.disable_value_trimming #=> true/false
resp.classifiers[0].csv_classifier.allow_single_column #=> true/false
resp.next_token #=> String

Options Hash (options):

  • :max_results (Integer)

    The size of the list to return (optional).

  • :next_token (String)

    An optional continuation token.

Returns:

See Also:

#get_connection(options = {}) ⇒ Types::GetConnectionResponse

Retrieves a connection definition from the Data Catalog.

Examples:

Request syntax with placeholder values


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

Response structure


resp.connection.name #=> String
resp.connection.description #=> String
resp.connection.connection_type #=> String, one of "JDBC", "SFTP"
resp.connection.match_criteria #=> Array
resp.connection.match_criteria[0] #=> String
resp.connection.connection_properties #=> Hash
resp.connection.connection_properties["ConnectionPropertyKey"] #=> String
resp.connection.physical_connection_requirements.subnet_id #=> String
resp.connection.physical_connection_requirements.security_group_id_list #=> Array
resp.connection.physical_connection_requirements.security_group_id_list[0] #=> String
resp.connection.physical_connection_requirements.availability_zone #=> String
resp.connection.creation_time #=> Time
resp.connection.last_updated_time #=> Time
resp.connection.last_updated_by #=> String

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which the connection resides. If none is provided, the AWS account ID is used by default.

  • :name (required, String)

    The name of the connection definition to retrieve.

  • :hide_password (Boolean)

    Allows you to retrieve the connection metadata without returning the password. For instance, the AWS Glue console uses this flag to retrieve the connection, and does not display the password. Set this parameter when the caller might not have permission to use the AWS KMS key to decrypt the password, but it does have permission to access the rest of the connection properties.

Returns:

See Also:

#get_connections(options = {}) ⇒ Types::GetConnectionsResponse

Retrieves a list of connection definitions from the Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.get_connections({
  catalog_id: "CatalogIdString",
  filter: {
    match_criteria: ["NameString"],
    connection_type: "JDBC", # accepts JDBC, SFTP
  },
  hide_password: false,
  next_token: "Token",
  max_results: 1,
})

Response structure


resp.connection_list #=> Array
resp.connection_list[0].name #=> String
resp.connection_list[0].description #=> String
resp.connection_list[0].connection_type #=> String, one of "JDBC", "SFTP"
resp.connection_list[0].match_criteria #=> Array
resp.connection_list[0].match_criteria[0] #=> String
resp.connection_list[0].connection_properties #=> Hash
resp.connection_list[0].connection_properties["ConnectionPropertyKey"] #=> String
resp.connection_list[0].physical_connection_requirements.subnet_id #=> String
resp.connection_list[0].physical_connection_requirements.security_group_id_list #=> Array
resp.connection_list[0].physical_connection_requirements.security_group_id_list[0] #=> String
resp.connection_list[0].physical_connection_requirements.availability_zone #=> String
resp.connection_list[0].creation_time #=> Time
resp.connection_list[0].last_updated_time #=> Time
resp.connection_list[0].last_updated_by #=> String
resp.next_token #=> String

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which the connections reside. If none is provided, the AWS account ID is used by default.

  • :filter (Types::GetConnectionsFilter)

    A filter that controls which connections are returned.

  • :hide_password (Boolean)

    Allows you to retrieve the connection metadata without returning the password. For instance, the AWS Glue console uses this flag to retrieve the connection, and does not display the password. Set this parameter when the caller might not have permission to use the AWS KMS key to decrypt the password, but it does have permission to access the rest of the connection properties.

  • :next_token (String)

    A continuation token, if this is a continuation call.

  • :max_results (Integer)

    The maximum number of connections to return in one response.

Returns:

See Also:

#get_crawler(options = {}) ⇒ Types::GetCrawlerResponse

Retrieves metadata for a specified crawler.

Examples:

Request syntax with placeholder values


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

Response structure


resp.crawler.name #=> String
resp.crawler.role #=> String
resp.crawler.targets.s3_targets #=> Array
resp.crawler.targets.s3_targets[0].path #=> String
resp.crawler.targets.s3_targets[0].exclusions #=> Array
resp.crawler.targets.s3_targets[0].exclusions[0] #=> String
resp.crawler.targets.jdbc_targets #=> Array
resp.crawler.targets.jdbc_targets[0].connection_name #=> String
resp.crawler.targets.jdbc_targets[0].path #=> String
resp.crawler.targets.jdbc_targets[0].exclusions #=> Array
resp.crawler.targets.jdbc_targets[0].exclusions[0] #=> String
resp.crawler.targets.dynamo_db_targets #=> Array
resp.crawler.targets.dynamo_db_targets[0].path #=> String
resp.crawler.targets.catalog_targets #=> Array
resp.crawler.targets.catalog_targets[0].database_name #=> String
resp.crawler.targets.catalog_targets[0].tables #=> Array
resp.crawler.targets.catalog_targets[0].tables[0] #=> String
resp.crawler.database_name #=> String
resp.crawler.description #=> String
resp.crawler.classifiers #=> Array
resp.crawler.classifiers[0] #=> String
resp.crawler.schema_change_policy.update_behavior #=> String, one of "LOG", "UPDATE_IN_DATABASE"
resp.crawler.schema_change_policy.delete_behavior #=> String, one of "LOG", "DELETE_FROM_DATABASE", "DEPRECATE_IN_DATABASE"
resp.crawler.state #=> String, one of "READY", "RUNNING", "STOPPING"
resp.crawler.table_prefix #=> String
resp.crawler.schedule.schedule_expression #=> String
resp.crawler.schedule.state #=> String, one of "SCHEDULED", "NOT_SCHEDULED", "TRANSITIONING"
resp.crawler.crawl_elapsed_time #=> Integer
resp.crawler.creation_time #=> Time
resp.crawler.last_updated #=> Time
resp.crawler.last_crawl.status #=> String, one of "SUCCEEDED", "CANCELLED", "FAILED"
resp.crawler.last_crawl.error_message #=> String
resp.crawler.last_crawl.log_group #=> String
resp.crawler.last_crawl.log_stream #=> String
resp.crawler.last_crawl.message_prefix #=> String
resp.crawler.last_crawl.start_time #=> Time
resp.crawler.version #=> Integer
resp.crawler.configuration #=> String
resp.crawler.crawler_security_configuration #=> String

Options Hash (options):

  • :name (required, String)

    The name of the crawler to retrieve metadata for.

Returns:

See Also:

#get_crawler_metrics(options = {}) ⇒ Types::GetCrawlerMetricsResponse

Retrieves metrics about specified crawlers.

Examples:

Request syntax with placeholder values


resp = client.get_crawler_metrics({
  crawler_name_list: ["NameString"],
  max_results: 1,
  next_token: "Token",
})

Response structure


resp.crawler_metrics_list #=> Array
resp.crawler_metrics_list[0].crawler_name #=> String
resp.crawler_metrics_list[0].time_left_seconds #=> Float
resp.crawler_metrics_list[0].still_estimating #=> true/false
resp.crawler_metrics_list[0].last_runtime_seconds #=> Float
resp.crawler_metrics_list[0].median_runtime_seconds #=> Float
resp.crawler_metrics_list[0].tables_created #=> Integer
resp.crawler_metrics_list[0].tables_updated #=> Integer
resp.crawler_metrics_list[0].tables_deleted #=> Integer
resp.next_token #=> String

Options Hash (options):

  • :crawler_name_list (Array<String>)

    A list of the names of crawlers about which to retrieve metrics.

  • :max_results (Integer)

    The maximum size of a list to return.

  • :next_token (String)

    A continuation token, if this is a continuation call.

Returns:

See Also:

#get_crawlers(options = {}) ⇒ Types::GetCrawlersResponse

Retrieves metadata for all crawlers defined in the customer account.

Examples:

Request syntax with placeholder values


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

Response structure


resp.crawlers #=> Array
resp.crawlers[0].name #=> String
resp.crawlers[0].role #=> String
resp.crawlers[0].targets.s3_targets #=> Array
resp.crawlers[0].targets.s3_targets[0].path #=> String
resp.crawlers[0].targets.s3_targets[0].exclusions #=> Array
resp.crawlers[0].targets.s3_targets[0].exclusions[0] #=> String
resp.crawlers[0].targets.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.dynamo_db_targets #=> Array
resp.crawlers[0].targets.dynamo_db_targets[0].path #=> String
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].database_name #=> String
resp.crawlers[0].description #=> String
resp.crawlers[0].classifiers #=> Array
resp.crawlers[0].classifiers[0] #=> String
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].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.next_token #=> String

Options Hash (options):

  • :max_results (Integer)

    The number of crawlers to return on each call.

  • :next_token (String)

    A continuation token, if this is a continuation request.

Returns:

See Also:

#get_data_catalog_encryption_settings(options = {}) ⇒ Types::GetDataCatalogEncryptionSettingsResponse

Retrieves the security configuration for a specified catalog.

Examples:

Request syntax with placeholder values


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

Response structure


resp.data_catalog_encryption_settings.encryption_at_rest.catalog_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.data_catalog_encryption_settings.encryption_at_rest.sse_aws_kms_key_id #=> String
resp.data_catalog_encryption_settings.connection_password_encryption.return_connection_password_encrypted #=> true/false
resp.data_catalog_encryption_settings.connection_password_encryption.aws_kms_key_id #=> String

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog to retrieve the security configuration for. If none is provided, the AWS account ID is used by default.

Returns:

See Also:

#get_database(options = {}) ⇒ Types::GetDatabaseResponse

Retrieves the definition of a specified database.

Examples:

Request syntax with placeholder values


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

Response structure


resp.database.name #=> String
resp.database.description #=> String
resp.database.location_uri #=> String
resp.database.parameters #=> Hash
resp.database.parameters["KeyString"] #=> String
resp.database.create_time #=> Time
resp.database.create_table_default_permissions #=> Array
resp.database.create_table_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.database.create_table_default_permissions[0].permissions #=> Array
resp.database.create_table_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog in which the database resides. If none is provided, the AWS account ID is used by default.

  • :name (required, String)

    The name of the database to retrieve. For Hive compatibility, this should be all lowercase.

Returns:

See Also:

#get_databases(options = {}) ⇒ Types::GetDatabasesResponse

Retrieves all databases defined in a given Data Catalog.

Examples:

Request syntax with placeholder values


resp = client.get_databases({
  catalog_id: "CatalogIdString",
  next_token: "Token",
  max_results: 1,
})

Response structure


resp.database_list #=> Array
resp.database_list[0].name #=> String
resp.database_list[0].description #=> String
resp.database_list[0].location_uri #=> String
resp.database_list[0].parameters #=> Hash
resp.database_list[0].parameters["KeyString"] #=> String
resp.database_list[0].create_time #=> Time
resp.database_list[0].create_table_default_permissions #=> Array
resp.database_list[0].create_table_default_permissions[0].principal.data_lake_principal_identifier #=> String
resp.database_list[0].create_table_default_permissions[0].permissions #=> Array
resp.database_list[0].create_table_default_permissions[0].permissions[0] #=> String, one of "ALL", "SELECT", "ALTER", "DROP", "DELETE", "INSERT", "CREATE_DATABASE", "CREATE_TABLE", "DATA_LOCATION_ACCESS"
resp.next_token #=> String

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog from which to retrieve Databases. If none is provided, the AWS account ID is used by default.

  • :next_token (String)

    A continuation token, if this is a continuation call.

  • :max_results (Integer)

    The maximum number of databases to return in one response.

Returns:

See Also:

#get_dataflow_graph(options = {}) ⇒ Types::GetDataflowGraphResponse

Transforms a Python script into a directed acyclic graph (DAG).

Examples:

Request syntax with placeholder values


resp = client.get_dataflow_graph({
  python_script: "PythonScript",
})

Response structure


resp.dag_nodes #=> Array
resp.dag_nodes[0].id #=> String
resp.dag_nodes[0].node_type #=> String
resp.dag_nodes[0].args #=> Array
resp.dag_nodes[0].args[0].name #=> String
resp.dag_nodes[0].args[0].value #=> String
resp.dag_nodes[0].args[0].param #=> true/false
resp.dag_nodes[0].line_number #=> Integer
resp.dag_edges #=> Array
resp.dag_edges[0].source #=> String
resp.dag_edges[0].target #=> String
resp.dag_edges[0].target_parameter #=> String

Options Hash (options):

  • :python_script (String)

    The Python script to transform.

Returns:

See Also:

#get_dev_endpoint(options = {}) ⇒ Types::GetDevEndpointResponse

Retrieves information about a specified development endpoint.

When you create a development endpoint in a virtual private cloud (VPC), AWS Glue returns only a private IP address, and the public IP address field is not populated. When you create a non-VPC development endpoint, AWS Glue returns only a public IP address.

Examples:

Request syntax with placeholder values


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

Response structure


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

Options Hash (options):

  • :endpoint_name (required, String)

    Name of the DevEndpoint to retrieve information for.

Returns:

See Also:

#get_dev_endpoints(options = {}) ⇒ Types::GetDevEndpointsResponse

Retrieves all the development endpoints in this AWS account.

When you create a development endpoint in a virtual private cloud (VPC), AWS Glue returns only a private IP address and the public IP address field is not populated. When you create a non-VPC development endpoint, AWS Glue returns only a public IP address.

Examples:

Request syntax with placeholder values


resp = client.get_dev_endpoints({
  max_results: 1,
  next_token: "GenericString",
})

Response structure


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

Options Hash (options):

  • :max_results (Integer)

    The maximum size of information to return.

  • :next_token (String)

    A continuation token, if this is a continuation call.

Returns:

See Also:

#get_job(options = {}) ⇒ Types::GetJobResponse

Retrieves an existing job definition.

Examples:

Request syntax with placeholder values


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

Response structure


resp.job.name #=> String
resp.job.description #=> String
resp.job.log_uri #=> String
resp.job.role #=> String
resp.job.created_on #=> Time
resp.job.last_modified_on #=> Time
resp.job.execution_property.max_concurrent_runs #=> Integer
resp.job.command.name #=> String
resp.job.command.script_location #=> String
resp.job.command.python_version #=> String
resp.job.default_arguments #=> Hash
resp.job.default_arguments["GenericString"] #=> String
resp.job.connections.connections #=> Array
resp.job.connections.connections[0] #=> String
resp.job.max_retries #=> Integer
resp.job.allocated_capacity #=> Integer
resp.job.timeout #=> Integer
resp.job.max_capacity #=> Float
resp.job.worker_type #=> String, one of "Standard", "G.1X", "G.2X"
resp.job.number_of_workers #=> Integer
resp.job.security_configuration #=> String
resp.job.notification_property.notify_delay_after #=> Integer
resp.job.glue_version #=> String

Options Hash (options):

  • :job_name (required, String)

    The name of the job definition to retrieve.

Returns:

See Also:

#get_job_bookmark(options = {}) ⇒ Types::GetJobBookmarkResponse

Returns information on a job bookmark entry.

Examples:

Request syntax with placeholder values


resp = client.get_job_bookmark({
  job_name: "JobName", # required
  run_id: "RunId",
})

Response structure


resp.job_bookmark_entry.job_name #=> String
resp.job_bookmark_entry.version #=> Integer
resp.job_bookmark_entry.run #=> Integer
resp.job_bookmark_entry.attempt #=> Integer
resp.job_bookmark_entry.previous_run_id #=> String
resp.job_bookmark_entry.run_id #=> String
resp.job_bookmark_entry.job_bookmark #=> String

Options Hash (options):

  • :job_name (required, String)

    The name of the job in question.

  • :run_id (String)

    The unique run identifier associated with this job run.

Returns:

See Also:

#get_job_run(options = {}) ⇒ Types::GetJobRunResponse

Retrieves the metadata for a given job run.

Examples:

Request syntax with placeholder values


resp = client.get_job_run({
  job_name: "NameString", # required
  run_id: "IdString", # required
  predecessors_included: false,
})

Response structure


resp.job_run.id #=> String
resp.job_run.attempt #=> Integer
resp.job_run.previous_run_id #=> String
resp.job_run.trigger_name #=> String
resp.job_run.job_name #=> String
resp.job_run.started_on #=> Time
resp.job_run.last_modified_on #=> Time
resp.job_run.completed_on #=> Time
resp.job_run.job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.job_run.arguments #=> Hash
resp.job_run.arguments["GenericString"] #=> String
resp.job_run.error_message #=> String
resp.job_run.predecessor_runs #=> Array
resp.job_run.predecessor_runs[0].job_name #=> String
resp.job_run.predecessor_runs[0].run_id #=> String
resp.job_run.allocated_capacity #=> Integer
resp.job_run.execution_time #=> Integer
resp.job_run.timeout #=> Integer
resp.job_run.max_capacity #=> Float
resp.job_run.worker_type #=> String, one of "Standard", "G.1X", "G.2X"
resp.job_run.number_of_workers #=> Integer
resp.job_run.security_configuration #=> String
resp.job_run.log_group_name #=> String
resp.job_run.notification_property.notify_delay_after #=> Integer
resp.job_run.glue_version #=> String

Options Hash (options):

  • :job_name (required, String)

    Name of the job definition being run.

  • :run_id (required, String)

    The ID of the job run.

  • :predecessors_included (Boolean)

    True if a list of predecessor runs should be returned.

Returns:

See Also:

#get_job_runs(options = {}) ⇒ Types::GetJobRunsResponse

Retrieves metadata for all runs of a given job definition.

Examples:

Request syntax with placeholder values


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

Response structure


resp.job_runs #=> Array
resp.job_runs[0].id #=> String
resp.job_runs[0].attempt #=> Integer
resp.job_runs[0].previous_run_id #=> String
resp.job_runs[0].trigger_name #=> String
resp.job_runs[0].job_name #=> String
resp.job_runs[0].started_on #=> Time
resp.job_runs[0].last_modified_on #=> Time
resp.job_runs[0].completed_on #=> Time
resp.job_runs[0].job_run_state #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.job_runs[0].arguments #=> Hash
resp.job_runs[0].arguments["GenericString"] #=> String
resp.job_runs[0].error_message #=> String
resp.job_runs[0].predecessor_runs #=> Array
resp.job_runs[0].predecessor_runs[0].job_name #=> String
resp.job_runs[0].predecessor_runs[0].run_id #=> String
resp.job_runs[0].allocated_capacity #=> Integer
resp.job_runs[0].execution_time #=> Integer
resp.job_runs[0].timeout #=> Integer
resp.job_runs[0].max_capacity #=> Float
resp.job_runs[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X"
resp.job_runs[0].number_of_workers #=> Integer
resp.job_runs[0].security_configuration #=> String
resp.job_runs[0].log_group_name #=> String
resp.job_runs[0].notification_property.notify_delay_after #=> Integer
resp.job_runs[0].glue_version #=> String
resp.next_token #=> String

Options Hash (options):

  • :job_name (required, String)

    The name of the job definition for which to retrieve all job runs.

  • :next_token (String)

    A continuation token, if this is a continuation call.

  • :max_results (Integer)

    The maximum size of the response.

Returns:

See Also:

#get_jobs(options = {}) ⇒ Types::GetJobsResponse

Retrieves all current job definitions.

Examples:

Request syntax with placeholder values


resp = client.get_jobs({
  next_token: "GenericString",
  max_results: 1,
})

Response structure


resp.jobs #=> Array
resp.jobs[0].name #=> String
resp.jobs[0].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].default_arguments #=> Hash
resp.jobs[0].default_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"
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.next_token #=> String

Options Hash (options):

  • :next_token (String)

    A continuation token, if this is a continuation call.

  • :max_results (Integer)

    The maximum size of the response.

Returns:

See Also:

#get_mapping(options = {}) ⇒ Types::GetMappingResponse

Creates mappings.

Examples:

Request syntax with placeholder values


resp = client.get_mapping({
  source: { # required
    database_name: "NameString", # required
    table_name: "NameString", # required
  },
  sinks: [
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
    },
  ],
  location: {
    jdbc: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    s3: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    dynamo_db: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
  },
})

Response structure


resp.mapping #=> Array
resp.mapping[0].source_table #=> String
resp.mapping[0].source_path #=> String
resp.mapping[0].source_type #=> String
resp.mapping[0].target_table #=> String
resp.mapping[0].target_path #=> String
resp.mapping[0].target_type #=> String

Options Hash (options):

Returns:

See Also:

#get_ml_task_run(options = {}) ⇒ Types::GetMLTaskRunResponse

Gets details for a specific task run on a machine learning transform. Machine learning task runs are asynchronous tasks that AWS Glue runs on your behalf as part of various machine learning workflows. You can check the stats of any task run by calling GetMLTaskRun with the TaskRunID and its parent transform's TransformID.

Examples:

Request syntax with placeholder values


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

Response structure


resp.transform_id #=> String
resp.task_run_id #=> String
resp.status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.log_group_name #=> String
resp.properties.task_type #=> String, one of "EVALUATION", "LABELING_SET_GENERATION", "IMPORT_LABELS", "EXPORT_LABELS", "FIND_MATCHES"
resp.properties.import_labels_task_run_properties.input_s3_path #=> String
resp.properties.import_labels_task_run_properties.replace #=> true/false
resp.properties.export_labels_task_run_properties.output_s3_path #=> String
resp.properties.labeling_set_generation_task_run_properties.output_s3_path #=> String
resp.properties.find_matches_task_run_properties.job_id #=> String
resp.properties.find_matches_task_run_properties.job_name #=> String
resp.properties.find_matches_task_run_properties.job_run_id #=> String
resp.error_string #=> String
resp.started_on #=> Time
resp.last_modified_on #=> Time
resp.completed_on #=> Time
resp.execution_time #=> Integer

Options Hash (options):

  • :transform_id (required, String)

    The unique identifier of the machine learning transform.

  • :task_run_id (required, String)

    The unique identifier of the task run.

Returns:

See Also:

#get_ml_task_runs(options = {}) ⇒ Types::GetMLTaskRunsResponse

Gets a list of runs for a machine learning transform. Machine learning task runs are asynchronous tasks that AWS Glue runs on your behalf as part of various machine learning workflows. You can get a sortable, filterable list of machine learning task runs by calling GetMLTaskRuns with their parent transform's TransformID and other optional parameters as documented in this section.

This operation returns a list of historic runs and must be paginated.

Examples:

Request syntax with placeholder values


resp = client.get_ml_task_runs({
  transform_id: "HashString", # required
  next_token: "PaginationToken",
  max_results: 1,
  filter: {
    task_run_type: "EVALUATION", # accepts EVALUATION, LABELING_SET_GENERATION, IMPORT_LABELS, EXPORT_LABELS, FIND_MATCHES
    status: "STARTING", # accepts STARTING, RUNNING, STOPPING, STOPPED, SUCCEEDED, FAILED, TIMEOUT
    started_before: Time.now,
    started_after: Time.now,
  },
  sort: {
    column: "TASK_RUN_TYPE", # required, accepts TASK_RUN_TYPE, STATUS, STARTED
    sort_direction: "DESCENDING", # required, accepts DESCENDING, ASCENDING
  },
})

Response structure


resp.task_runs #=> Array
resp.task_runs[0].transform_id #=> String
resp.task_runs[0].task_run_id #=> String
resp.task_runs[0].status #=> String, one of "STARTING", "RUNNING", "STOPPING", "STOPPED", "SUCCEEDED", "FAILED", "TIMEOUT"
resp.task_runs[0].log_group_name #=> String
resp.task_runs[0].properties.task_type #=> String, one of "EVALUATION", "LABELING_SET_GENERATION", "IMPORT_LABELS", "EXPORT_LABELS", "FIND_MATCHES"
resp.task_runs[0].properties.import_labels_task_run_properties.input_s3_path #=> String
resp.task_runs[0].properties.import_labels_task_run_properties.replace #=> true/false
resp.task_runs[0].properties.export_labels_task_run_properties.output_s3_path #=> String
resp.task_runs[0].properties.labeling_set_generation_task_run_properties.output_s3_path #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_id #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_name #=> String
resp.task_runs[0].properties.find_matches_task_run_properties.job_run_id #=> String
resp.task_runs[0].error_string #=> String
resp.task_runs[0].started_on #=> Time
resp.task_runs[0].last_modified_on #=> Time
resp.task_runs[0].completed_on #=> Time
resp.task_runs[0].execution_time #=> Integer
resp.next_token #=> String

Options Hash (options):

  • :transform_id (required, String)

    The unique identifier of the machine learning transform.

  • :next_token (String)

    A token for pagination of the results. The default is empty.

  • :max_results (Integer)

    The maximum number of results to return.

  • :filter (Types::TaskRunFilterCriteria)

    The filter criteria, in the TaskRunFilterCriteria structure, for the task run.

  • :sort (Types::TaskRunSortCriteria)

    The sorting criteria, in the TaskRunSortCriteria structure, for the task run.

Returns:

See Also:

#get_ml_transform(options = {}) ⇒ Types::GetMLTransformResponse

Gets an AWS Glue machine learning transform artifact and all its corresponding metadata. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by AWS Glue. You can retrieve their metadata by calling GetMLTransform.

Examples:

Request syntax with placeholder values


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

Response structure


resp.transform_id #=> String
resp.name #=> String
resp.description #=> String
resp.status #=> String, one of "NOT_READY", "READY", "DELETING"
resp.created_on #=> Time
resp.last_modified_on #=> Time
resp.input_record_tables #=> Array
resp.input_record_tables[0].database_name #=> String
resp.input_record_tables[0].table_name #=> String
resp.input_record_tables[0].catalog_id #=> String
resp.input_record_tables[0].connection_name #=> String
resp.parameters.transform_type #=> String, one of "FIND_MATCHES"
resp.parameters.find_matches_parameters.primary_key_column_name #=> String
resp.parameters.find_matches_parameters.precision_recall_tradeoff #=> Float
resp.parameters.find_matches_parameters.accuracy_cost_tradeoff #=> Float
resp.parameters.find_matches_parameters.enforce_provided_labels #=> true/false
resp.evaluation_metrics.transform_type #=> String, one of "FIND_MATCHES"
resp.evaluation_metrics.find_matches_metrics.area_under_pr_curve #=> Float
resp.evaluation_metrics.find_matches_metrics.precision #=> Float
resp.evaluation_metrics.find_matches_metrics.recall #=> Float
resp.evaluation_metrics.find_matches_metrics.f1 #=> Float
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_positives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_positives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_negatives #=> Integer
resp.evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_negatives #=> Integer
resp.label_count #=> Integer
resp.schema #=> Array
resp.schema[0].name #=> String
resp.schema[0].data_type #=> String
resp.role #=> String
resp.max_capacity #=> Float
resp.worker_type #=> String, one of "Standard", "G.1X", "G.2X"
resp.number_of_workers #=> Integer
resp.timeout #=> Integer
resp.max_retries #=> Integer

Options Hash (options):

  • :transform_id (required, String)

    The unique identifier of the transform, generated at the time that the transform was created.

Returns:

See Also:

#get_ml_transforms(options = {}) ⇒ Types::GetMLTransformsResponse

Gets a sortable, filterable list of existing AWS Glue machine learning transforms. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by AWS Glue, and you can retrieve their metadata by calling GetMLTransforms.

Examples:

Request syntax with placeholder values


resp = client.get_ml_transforms({
  next_token: "PaginationToken",
  max_results: 1,
  filter: {
    name: "NameString",
    transform_type: "FIND_MATCHES", # accepts FIND_MATCHES
    status: "NOT_READY", # accepts NOT_READY, READY, DELETING
    created_before: Time.now,
    created_after: Time.now,
    last_modified_before: Time.now,
    last_modified_after: Time.now,
    schema: [
      {
        name: "ColumnNameString",
        data_type: "ColumnTypeString",
      },
    ],
  },
  sort: {
    column: "NAME", # required, accepts NAME, TRANSFORM_TYPE, STATUS, CREATED, LAST_MODIFIED
    sort_direction: "DESCENDING", # required, accepts DESCENDING, ASCENDING
  },
})

Response structure


resp.transforms #=> Array
resp.transforms[0].transform_id #=> String
resp.transforms[0].name #=> String
resp.transforms[0].description #=> String
resp.transforms[0].status #=> String, one of "NOT_READY", "READY", "DELETING"
resp.transforms[0].created_on #=> Time
resp.transforms[0].last_modified_on #=> Time
resp.transforms[0].input_record_tables #=> Array
resp.transforms[0].input_record_tables[0].database_name #=> String
resp.transforms[0].input_record_tables[0].table_name #=> String
resp.transforms[0].input_record_tables[0].catalog_id #=> String
resp.transforms[0].input_record_tables[0].connection_name #=> String
resp.transforms[0].parameters.transform_type #=> String, one of "FIND_MATCHES"
resp.transforms[0].parameters.find_matches_parameters.primary_key_column_name #=> String
resp.transforms[0].parameters.find_matches_parameters.precision_recall_tradeoff #=> Float
resp.transforms[0].parameters.find_matches_parameters.accuracy_cost_tradeoff #=> Float
resp.transforms[0].parameters.find_matches_parameters.enforce_provided_labels #=> true/false
resp.transforms[0].evaluation_metrics.transform_type #=> String, one of "FIND_MATCHES"
resp.transforms[0].evaluation_metrics.find_matches_metrics.area_under_pr_curve #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.precision #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.recall #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.f1 #=> Float
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_positives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_positives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_true_negatives #=> Integer
resp.transforms[0].evaluation_metrics.find_matches_metrics.confusion_matrix.num_false_negatives #=> Integer
resp.transforms[0].label_count #=> Integer
resp.transforms[0].schema #=> Array
resp.transforms[0].schema[0].name #=> String
resp.transforms[0].schema[0].data_type #=> String
resp.transforms[0].role #=> String
resp.transforms[0].max_capacity #=> Float
resp.transforms[0].worker_type #=> String, one of "Standard", "G.1X", "G.2X"
resp.transforms[0].number_of_workers #=> Integer
resp.transforms[0].timeout #=> Integer
resp.transforms[0].max_retries #=> Integer
resp.next_token #=> String

Options Hash (options):

Returns:

See Also:

#get_partition(options = {}) ⇒ Types::GetPartitionResponse

Retrieves information about a specified partition.

Examples:

Request syntax with placeholder values


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

Response structure


resp.partition.values #=> Array
resp.partition.values[0] #=> String
resp.partition.database_name #=> String
resp.partition.table_name #=> String
resp.partition.creation_time #=> Time
resp.partition.last_access_time #=> Time
resp.partition.storage_descriptor.columns #=> Array
resp.partition.storage_descriptor.columns[0].name #=> String
resp.partition.storage_descriptor.columns[0].type #=> String
resp.partition.storage_descriptor.columns[0].comment #=> String
resp.partition.storage_descriptor.columns[0].parameters #=> Hash
resp.partition.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.partition.storage_descriptor.location #=> String
resp.partition.storage_descriptor.input_format #=> String
resp.partition.storage_descriptor.output_format #=> String
resp.partition.storage_descriptor.compressed #=> true/false
resp.partition.storage_descriptor.number_of_buckets #=> Integer
resp.partition.storage_descriptor.serde_info.name #=> String
resp.partition.storage_descriptor.serde_info.serialization_library #=> String
resp.partition.storage_descriptor.serde_info.parameters #=> Hash
resp.partition.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.partition.storage_descriptor.bucket_columns #=> Array
resp.partition.storage_descriptor.bucket_columns[0] #=> String
resp.partition.storage_descriptor.sort_columns #=> Array
resp.partition.storage_descriptor.sort_columns[0].column #=> String
resp.partition.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.partition.storage_descriptor.parameters #=> Hash
resp.partition.storage_descriptor.parameters["KeyString"] #=> String
resp.partition.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.partition.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.partition.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.partition.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.partition.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.partition.storage_descriptor.stored_as_sub_directories #=> true/false
resp.partition.parameters #=> Hash
resp.partition.parameters["KeyString"] #=> String
resp.partition.last_analyzed_time #=> Time

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the partition in question resides. If none is provided, the AWS account ID is used by default.

  • :database_name (required, String)

    The name of the catalog database where the partition resides.

  • :table_name (required, String)

    The name of the partition\'s table.

  • :partition_values (required, Array<String>)

    The values that define the partition.

Returns:

See Also:

#get_partitions(options = {}) ⇒ Types::GetPartitionsResponse

Retrieves information about the partitions in a table.

Examples:

Request syntax with placeholder values


resp = client.get_partitions({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  expression: "PredicateString",
  next_token: "Token",
  segment: {
    segment_number: 1, # required
    total_segments: 1, # required
  },
  max_results: 1,
})

Response structure


resp.partitions #=> Array
resp.partitions[0].values #=> Array
resp.partitions[0].values[0] #=> String
resp.partitions[0].database_name #=> String
resp.partitions[0].table_name #=> String
resp.partitions[0].creation_time #=> Time
resp.partitions[0].last_access_time #=> Time
resp.partitions[0].storage_descriptor.columns #=> Array
resp.partitions[0].storage_descriptor.columns[0].name #=> String
resp.partitions[0].storage_descriptor.columns[0].type #=> String
resp.partitions[0].storage_descriptor.columns[0].comment #=> String
resp.partitions[0].storage_descriptor.columns[0].parameters #=> Hash
resp.partitions[0].storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.location #=> String
resp.partitions[0].storage_descriptor.input_format #=> String
resp.partitions[0].storage_descriptor.output_format #=> String
resp.partitions[0].storage_descriptor.compressed #=> true/false
resp.partitions[0].storage_descriptor.number_of_buckets #=> Integer
resp.partitions[0].storage_descriptor.serde_info.name #=> String
resp.partitions[0].storage_descriptor.serde_info.serialization_library #=> String
resp.partitions[0].storage_descriptor.serde_info.parameters #=> Hash
resp.partitions[0].storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.bucket_columns #=> Array
resp.partitions[0].storage_descriptor.bucket_columns[0] #=> String
resp.partitions[0].storage_descriptor.sort_columns #=> Array
resp.partitions[0].storage_descriptor.sort_columns[0].column #=> String
resp.partitions[0].storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.partitions[0].storage_descriptor.parameters #=> Hash
resp.partitions[0].storage_descriptor.parameters["KeyString"] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.partitions[0].storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.partitions[0].storage_descriptor.stored_as_sub_directories #=> true/false
resp.partitions[0].parameters #=> Hash
resp.partitions[0].parameters["KeyString"] #=> String
resp.partitions[0].last_analyzed_time #=> Time
resp.next_token #=> String

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the partitions in question reside. If none is provided, the AWS account ID is used by default.

  • :database_name (required, String)

    The name of the catalog database where the partitions reside.

  • :table_name (required, String)

    The name of the partitions\' table.

  • :expression (String)

    An expression that filters the partitions to be returned.

    The expression uses SQL syntax similar to the SQL WHERE filter clause. The SQL statement parser JSQLParser parses the expression.

    Operators: The following are the operators that you can use in the Expression API call:

    =

    : Checks whether the values of the two operands are equal; if yes, then the condition becomes true.

    Example: Assume \'variable a\' holds 10 and \'variable b\' holds 20.

    (a = b) is not true.

    < >

    Checks whether the values of two operands are equal; if the values are not equal, then the condition becomes true.

    Example: (a < > b) is true.

    >

    Checks whether the value of the left operand is greater than the value of the right operand; if yes, then the condition becomes true.

    Example: (a > b) is not true.

    <

    Checks whether the value of the left operand is less than the value of the right operand; if yes, then the condition becomes true.

    Example: (a < b) is true.

    >=

    : Checks whether the value of the left operand is greater than or equal to the value of the right operand; if yes, then the condition becomes true.

    Example: (a >= b) is not true.

    <=

    : Checks whether the value of the left operand is less than or equal to the value of the right operand; if yes, then the condition becomes true.

    Example: (a <= b) is true.

    AND, OR, IN, BETWEEN, LIKE, NOT, IS NULL

    Logical operators.

    Supported Partition Key Types: The following are the supported partition keys.

    • string

    • date

    • timestamp

    • int

    • bigint

    • long

    • tinyint

    • smallint

    • decimal

    If an invalid type is encountered, an exception is thrown.

    The following list shows the valid operators on each type. When you define a crawler, the partitionKey type is created as a STRING, to be compatible with the catalog partitions.

    Sample API Call:

  • :next_token (String)

    A continuation token, if this is not the first call to retrieve these partitions.

  • :segment (Types::Segment)

    The segment of the table\'s partitions to scan in this request.

  • :max_results (Integer)

    The maximum number of partitions to return in a single response.

Returns:

See Also:

#get_plan(options = {}) ⇒ Types::GetPlanResponse

Gets code to perform a specified mapping.

Examples:

Request syntax with placeholder values


resp = client.get_plan({
  mapping: [ # required
    {
      source_table: "TableName",
      source_path: "SchemaPathString",
      source_type: "FieldType",
      target_table: "TableName",
      target_path: "SchemaPathString",
      target_type: "FieldType",
    },
  ],
  source: { # required
    database_name: "NameString", # required
    table_name: "NameString", # required
  },
  sinks: [
    {
      database_name: "NameString", # required
      table_name: "NameString", # required
    },
  ],
  location: {
    jdbc: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    s3: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
    dynamo_db: [
      {
        name: "CodeGenArgName", # required
        value: "CodeGenArgValue", # required
        param: false,
      },
    ],
  },
  language: "PYTHON", # accepts PYTHON, SCALA
})

Response structure


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

Options Hash (options):

  • :mapping (required, Array<Types::MappingEntry>)

    The list of mappings from a source table to target tables.

  • :source (required, Types::CatalogEntry)

    The source table.

  • :sinks (Array<Types::CatalogEntry>)

    The target tables.

  • :location (Types::Location)

    The parameters for the mapping.

  • :language (String)

    The programming language of the code to perform the mapping.

Returns:

See Also:

#get_resource_policy(options = {}) ⇒ Types::GetResourcePolicyResponse

Retrieves a specified resource policy.

Examples:

Request syntax with placeholder values


resp = client.get_resource_policy()

Response structure


resp.policy_in_json #=> String
resp.policy_hash #=> String
resp.create_time #=> Time
resp.update_time #=> Time

Returns:

See Also:

#get_security_configuration(options = {}) ⇒ Types::GetSecurityConfigurationResponse

Retrieves a specified security configuration.

Examples:

Request syntax with placeholder values


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

Response structure


resp.security_configuration.name #=> String
resp.security_configuration.created_time_stamp #=> Time
resp.security_configuration.encryption_configuration.s3_encryption #=> Array
resp.security_configuration.encryption_configuration.s3_encryption[0].s3_encryption_mode #=> String, one of "DISABLED", "SSE-KMS", "SSE-S3"
resp.security_configuration.encryption_configuration.s3_encryption[0].kms_key_arn #=> String
resp.security_configuration.encryption_configuration.cloud_watch_encryption.cloud_watch_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.security_configuration.encryption_configuration.cloud_watch_encryption.kms_key_arn #=> String
resp.security_configuration.encryption_configuration.job_bookmarks_encryption.job_bookmarks_encryption_mode #=> String, one of "DISABLED", "CSE-KMS"
resp.security_configuration.encryption_configuration.job_bookmarks_encryption.kms_key_arn #=> String

Options Hash (options):

  • :name (required, String)

    The name of the security configuration to retrieve.

Returns:

See Also:

#get_security_configurations(options = {}) ⇒ Types::GetSecurityConfigurationsResponse

Retrieves a list of all security configurations.

Examples:

Request syntax with placeholder values


resp = client.get_security_configurations({
  max_results: 1,
  next_token: "GenericString",
})

Response structure


resp.security_configurations #=> Array
resp.security_configurations[0].name #=> String
resp.security_configurations[0].created_time_stamp #=> Time
resp.security_configurations[0].encryption_configuration.s3_encryption #=> Array
resp.security_configurations[0].encryption_configuration.s3_encryption[0].s3_encryption_mode #=> String, one of "DISABLED", "SSE-KMS", "SSE-S3"
resp.security_configurations[0].encryption_configuration.s3_encryption[0].kms_key_arn #=> String
resp.security_configurations[0].encryption_configuration.cloud_watch_encryption.cloud_watch_encryption_mode #=> String, one of "DISABLED", "SSE-KMS"
resp.security_configurations[0].encryption_configuration.cloud_watch_encryption.kms_key_arn #=> String
resp.security_configurations[0].encryption_configuration.job_bookmarks_encryption.job_bookmarks_encryption_mode #=> String, one of "DISABLED", "CSE-KMS"
resp.security_configurations[0].encryption_configuration.job_bookmarks_encryption.kms_key_arn #=> String
resp.next_token #=> String

Options Hash (options):

  • :max_results (Integer)

    The maximum number of results to return.

  • :next_token (String)

    A continuation token, if this is a continuation call.

Returns:

See Also:

#get_table(options = {}) ⇒ Types::GetTableResponse

Retrieves the Table definition in a Data Catalog for a specified table.

Examples:

Request syntax with placeholder values


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

Response structure


resp.table.name #=> String
resp.table.database_name #=> String
resp.table.description #=> String
resp.table.owner #=> String
resp.table.create_time #=> Time
resp.table.update_time #=> Time
resp.table.last_access_time #=> Time
resp.table.last_analyzed_time #=> Time
resp.table.retention #=> Integer
resp.table.storage_descriptor.columns #=> Array
resp.table.storage_descriptor.columns[0].name #=> String
resp.table.storage_descriptor.columns[0].type #=> String
resp.table.storage_descriptor.columns[0].comment #=> String
resp.table.storage_descriptor.columns[0].parameters #=> Hash
resp.table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table.storage_descriptor.location #=> String
resp.table.storage_descriptor.input_format #=> String
resp.table.storage_descriptor.output_format #=> String
resp.table.storage_descriptor.compressed #=> true/false
resp.table.storage_descriptor.number_of_buckets #=> Integer
resp.table.storage_descriptor.serde_info.name #=> String
resp.table.storage_descriptor.serde_info.serialization_library #=> String
resp.table.storage_descriptor.serde_info.parameters #=> Hash
resp.table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table.storage_descriptor.bucket_columns #=> Array
resp.table.storage_descriptor.bucket_columns[0] #=> String
resp.table.storage_descriptor.sort_columns #=> Array
resp.table.storage_descriptor.sort_columns[0].column #=> String
resp.table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table.storage_descriptor.parameters #=> Hash
resp.table.storage_descriptor.parameters["KeyString"] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table.storage_descriptor.stored_as_sub_directories #=> true/false
resp.table.partition_keys #=> Array
resp.table.partition_keys[0].name #=> String
resp.table.partition_keys[0].type #=> String
resp.table.partition_keys[0].comment #=> String
resp.table.partition_keys[0].parameters #=> Hash
resp.table.partition_keys[0].parameters["KeyString"] #=> String
resp.table.view_original_text #=> String
resp.table.view_expanded_text #=> String
resp.table.table_type #=> String
resp.table.parameters #=> Hash
resp.table.parameters["KeyString"] #=> String
resp.table.created_by #=> String
resp.table.is_registered_with_lake_formation #=> true/false

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the table resides. If none is provided, the AWS account ID is used by default.

  • :database_name (required, String)

    The name of the database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.

  • :name (required, String)

    The name of the table for which to retrieve the definition. For Hive compatibility, this name is entirely lowercase.

Returns:

See Also:

#get_table_version(options = {}) ⇒ Types::GetTableVersionResponse

Retrieves a specified version of a table.

Examples:

Request syntax with placeholder values


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

Response structure


resp.table_version.table.name #=> String
resp.table_version.table.database_name #=> String
resp.table_version.table.description #=> String
resp.table_version.table.owner #=> String
resp.table_version.table.create_time #=> Time
resp.table_version.table.update_time #=> Time
resp.table_version.table.last_access_time #=> Time
resp.table_version.table.last_analyzed_time #=> Time
resp.table_version.table.retention #=> Integer
resp.table_version.table.storage_descriptor.columns #=> Array
resp.table_version.table.storage_descriptor.columns[0].name #=> String
resp.table_version.table.storage_descriptor.columns[0].type #=> String
resp.table_version.table.storage_descriptor.columns[0].comment #=> String
resp.table_version.table.storage_descriptor.columns[0].parameters #=> Hash
resp.table_version.table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.location #=> String
resp.table_version.table.storage_descriptor.input_format #=> String
resp.table_version.table.storage_descriptor.output_format #=> String
resp.table_version.table.storage_descriptor.compressed #=> true/false
resp.table_version.table.storage_descriptor.number_of_buckets #=> Integer
resp.table_version.table.storage_descriptor.serde_info.name #=> String
resp.table_version.table.storage_descriptor.serde_info.serialization_library #=> String
resp.table_version.table.storage_descriptor.serde_info.parameters #=> Hash
resp.table_version.table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.bucket_columns #=> Array
resp.table_version.table.storage_descriptor.bucket_columns[0] #=> String
resp.table_version.table.storage_descriptor.sort_columns #=> Array
resp.table_version.table.storage_descriptor.sort_columns[0].column #=> String
resp.table_version.table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_version.table.storage_descriptor.parameters #=> Hash
resp.table_version.table.storage_descriptor.parameters["KeyString"] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_values #=> Array
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_values[0] #=> String
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_value_location_maps #=> Hash
resp.table_version.table.storage_descriptor.skewed_info.skewed_column_value_location_maps["ColumnValuesString"] #=> String
resp.table_version.table.storage_descriptor.stored_as_sub_directories #=> true/false
resp.table_version.table.partition_keys #=> Array
resp.table_version.table.partition_keys[0].name #=> String
resp.table_version.table.partition_keys[0].type #=> String
resp.table_version.table.partition_keys[0].comment #=> String
resp.table_version.table.partition_keys[0].parameters #=> Hash
resp.table_version.table.partition_keys[0].parameters["KeyString"] #=> String
resp.table_version.table.view_original_text #=> String
resp.table_version.table.view_expanded_text #=> String
resp.table_version.table.table_type #=> String
resp.table_version.table.parameters #=> Hash
resp.table_version.table.parameters["KeyString"] #=> String
resp.table_version.table.created_by #=> String
resp.table_version.table.is_registered_with_lake_formation #=> true/false
resp.table_version.version_id #=> String

Options Hash (options):

  • :catalog_id (String)

    The ID of the Data Catalog where the tables reside. If none is provided, the AWS account ID is used by default.

  • :database_name (required, String)

    The database in the catalog in which the table resides. For Hive compatibility, this name is entirely lowercase.

  • :table_name (required, String)

    The name of the table. For Hive compatibility, this name is entirely lowercase.

  • :version_id (String)

    The ID value of the table version to be retrieved. A VersionID is a string representation of an integer. Each version is incremented by 1.

Returns:

See Also:

#get_table_versions(options = {}) ⇒ Types::GetTableVersionsResponse

Retrieves a list of strings that identify available versions of a specified table.

Examples:

Request syntax with placeholder values


resp = client.get_table_versions({
  catalog_id: "CatalogIdString",
  database_name: "NameString", # required
  table_name: "NameString", # required
  next_token: "Token",
  max_results: 1,
})

Response structure


resp.table_versions #=> Array
resp.table_versions[0].table.name #=> String
resp.table_versions[0].table.database_name #=> String
resp.table_versions[0].table.description #=> String
resp.table_versions[0].table.owner #=> String
resp.table_versions[0].table.create_time #=> Time
resp.table_versions[0].table.update_time #=> Time
resp.table_versions[0].table.last_access_time #=> Time
resp.table_versions[0].table.last_analyzed_time #=> Time
resp.table_versions[0].table.retention #=> Integer
resp.table_versions[0].table.storage_descriptor.columns #=> Array
resp.table_versions[0].table.storage_descriptor.columns[0].name #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].type #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].comment #=> String
resp.table_versions[0].table.storage_descriptor.columns[0].parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.columns[0].parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.location #=> String
resp.table_versions[0].table.storage_descriptor.input_format #=> String
resp.table_versions[0].table.storage_descriptor.output_format #=> String
resp.table_versions[0].table.storage_descriptor.compressed #=> true/false
resp.table_versions[0].table.storage_descriptor.number_of_buckets #=> Integer
resp.table_versions[0].table.storage_descriptor.serde_info.name #=> String
resp.table_versions[0].table.storage_descriptor.serde_info.serialization_library #=> String
resp.table_versions[0].table.storage_descriptor.serde_info.parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.serde_info.parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.bucket_columns #=> Array
resp.table_versions[0].table.storage_descriptor.bucket_columns[0] #=> String
resp.table_versions[0].table.storage_descriptor.sort_columns #=> Array
resp.table_versions[0].table.storage_descriptor.sort_columns[0].column #=> String
resp.table_versions[0].table.storage_descriptor.sort_columns[0].sort_order #=> Integer
resp.table_versions[0].table.storage_descriptor.parameters #=> Hash
resp.table_versions[0].table.storage_descriptor.parameters["KeyString"] #=> String
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_names #=> Array
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_names[0] #=> String
resp.table_versions[0].table.storage_descriptor.skewed_info.skewed_column_values #=> Array