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Glue

Service object for interacting with AWS Glue service.

public struct Glue: AWSService
Glue

Defines the public endpoint for the Glue service.

Inheritance

AWSService

Initializers

init(client:region:partition:endpoint:timeout:byteBufferAllocator:options:)

Initialize the Glue client

public init(client: AWSClient, region: SotoCore.Region? = nil, partition: AWSPartition = .aws, endpoint: String? = nil, timeout: TimeAmount? = nil, byteBufferAllocator: ByteBufferAllocator = ByteBufferAllocator(), options: AWSServiceConfig.Options = [])

Parameters

  • client: AWSClient used to process requests
  • region: Region of server you want to communicate with. This will override the partition parameter.
  • partition: AWS partition where service resides, standard (.aws), china (.awscn), government (.awsusgov).
  • endpoint: Custom endpoint URL to use instead of standard AWS servers
  • timeout: Timeout value for HTTP requests

init(from:patch:)

Initializer required by AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options). You are not able to use this initializer directly as there are no public initializers for AWSServiceConfig.Patch. Please use AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options) instead.

public init(from: Glue, patch: AWSServiceConfig.Patch)

Properties

client

Client used for communication with AWS

let client: AWSClient

config

Service configuration

let config: AWSServiceConfig

Methods

batchCreatePartition(_:logger:on:)

public func batchCreatePartition(_ input: BatchCreatePartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<BatchCreatePartitionResponse>

Creates one or more partitions in a batch operation.

batchDeleteConnection(_:logger:on:)

public func batchDeleteConnection(_ input: BatchDeleteConnectionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<BatchDeleteConnectionResponse>

Deletes a list of connection definitions from the Data Catalog.

batchDeletePartition(_:logger:on:)

public func batchDeletePartition(_ input: BatchDeletePartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<BatchDeletePartitionResponse>

Deletes one or more partitions in a batch operation.

batchDeleteTable(_:logger:on:)

public func batchDeleteTable(_ input: BatchDeleteTableRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<BatchDeleteTableResponse>

Deletes multiple tables at once.

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

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

batchDeleteTableVersion(_:logger:on:)

public func batchDeleteTableVersion(_ input: BatchDeleteTableVersionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<BatchDeleteTableVersionResponse>

Deletes a specified batch of versions of a table.

batchGetCrawlers(_:logger:on:)

public func batchGetCrawlers(_ input: BatchGetCrawlersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<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.

batchGetDevEndpoints(_:logger:on:)

public func batchGetDevEndpoints(_ input: BatchGetDevEndpointsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<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.

batchGetJobs(_:logger:on:)

public func batchGetJobs(_ input: BatchGetJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<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.

batchGetPartition(_:logger:on:)

public func batchGetPartition(_ input: BatchGetPartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<BatchGetPartitionResponse>

Retrieves partitions in a batch request.

batchGetTriggers(_:logger:on:)

public func batchGetTriggers(_ input: BatchGetTriggersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<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.

batchGetWorkflows(_:logger:on:)

public func batchGetWorkflows(_ input: BatchGetWorkflowsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<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.

batchStopJobRun(_:logger:on:)

public func batchStopJobRun(_ input: BatchStopJobRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<BatchStopJobRunResponse>

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

batchUpdatePartition(_:logger:on:)

public func batchUpdatePartition(_ input: BatchUpdatePartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<BatchUpdatePartitionResponse>

Updates one or more partitions in a batch operation.

cancelMLTaskRun(_:logger:on:)

public func cancelMLTaskRun(_ input: CancelMLTaskRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CancelMLTaskRunResponse>

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

checkSchemaVersionValidity(_:logger:on:)

public func checkSchemaVersionValidity(_ input: CheckSchemaVersionValidityInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CheckSchemaVersionValidityResponse>

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

createClassifier(_:logger:on:)

public func createClassifier(_ input: CreateClassifierRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateClassifierResponse>

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.

createConnection(_:logger:on:)

public func createConnection(_ input: CreateConnectionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateConnectionResponse>

Creates a connection definition in the Data Catalog.

createCrawler(_:logger:on:)

public func createCrawler(_ input: CreateCrawlerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateCrawlerResponse>

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.

createDatabase(_:logger:on:)

public func createDatabase(_ input: CreateDatabaseRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateDatabaseResponse>

Creates a new database in a Data Catalog.

createDevEndpoint(_:logger:on:)

public func createDevEndpoint(_ input: CreateDevEndpointRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateDevEndpointResponse>

Creates a new development endpoint.

createJob(_:logger:on:)

public func createJob(_ input: CreateJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateJobResponse>

Creates a new job definition.

createMLTransform(_:logger:on:)

public func createMLTransform(_ input: CreateMLTransformRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateMLTransformResponse>

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

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

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

createPartition(_:logger:on:)

public func createPartition(_ input: CreatePartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreatePartitionResponse>

Creates a new partition.

createPartitionIndex(_:logger:on:)

public func createPartitionIndex(_ input: CreatePartitionIndexRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreatePartitionIndexResponse>

Creates a specified partition index in an existing table.

createRegistry(_:logger:on:)

public func createRegistry(_ input: CreateRegistryInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateRegistryResponse>

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

createSchema(_:logger:on:)

public func createSchema(_ input: CreateSchemaInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateSchemaResponse>

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

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

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

createScript(_:logger:on:)

public func createScript(_ input: CreateScriptRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateScriptResponse>

Transforms a directed acyclic graph (DAG) into code.

createSecurityConfiguration(_:logger:on:)

public func createSecurityConfiguration(_ input: CreateSecurityConfigurationRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateSecurityConfigurationResponse>

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

createTable(_:logger:on:)

public func createTable(_ input: CreateTableRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateTableResponse>

Creates a new table definition in the Data Catalog.

createTrigger(_:logger:on:)

public func createTrigger(_ input: CreateTriggerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateTriggerResponse>

Creates a new trigger.

createUserDefinedFunction(_:logger:on:)

public func createUserDefinedFunction(_ input: CreateUserDefinedFunctionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateUserDefinedFunctionResponse>

Creates a new function definition in the Data Catalog.

createWorkflow(_:logger:on:)

public func createWorkflow(_ input: CreateWorkflowRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<CreateWorkflowResponse>

Creates a new workflow.

deleteClassifier(_:logger:on:)

public func deleteClassifier(_ input: DeleteClassifierRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteClassifierResponse>

Removes a classifier from the Data Catalog.

deleteColumnStatisticsForPartition(_:logger:on:)

public func deleteColumnStatisticsForPartition(_ input: DeleteColumnStatisticsForPartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteColumnStatisticsForPartitionResponse>

Delete the partition column statistics of a column.

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

deleteColumnStatisticsForTable(_:logger:on:)

public func deleteColumnStatisticsForTable(_ input: DeleteColumnStatisticsForTableRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteColumnStatisticsForTableResponse>

Retrieves table statistics of columns.

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

deleteConnection(_:logger:on:)

public func deleteConnection(_ input: DeleteConnectionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteConnectionResponse>

Deletes a connection from the Data Catalog.

deleteCrawler(_:logger:on:)

public func deleteCrawler(_ input: DeleteCrawlerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteCrawlerResponse>

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

deleteDatabase(_:logger:on:)

public func deleteDatabase(_ input: DeleteDatabaseRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteDatabaseResponse>

Removes a specified database from a Data Catalog.

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

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

deleteDevEndpoint(_:logger:on:)

public func deleteDevEndpoint(_ input: DeleteDevEndpointRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteDevEndpointResponse>

Deletes a specified development endpoint.

deleteJob(_:logger:on:)

public func deleteJob(_ input: DeleteJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteJobResponse>

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

deleteMLTransform(_:logger:on:)

public func deleteMLTransform(_ input: DeleteMLTransformRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteMLTransformResponse>

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

deletePartition(_:logger:on:)

public func deletePartition(_ input: DeletePartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeletePartitionResponse>

Deletes a specified partition.

deletePartitionIndex(_:logger:on:)

public func deletePartitionIndex(_ input: DeletePartitionIndexRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeletePartitionIndexResponse>

Deletes a specified partition index from an existing table.

deleteRegistry(_:logger:on:)

public func deleteRegistry(_ input: DeleteRegistryInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteRegistryResponse>

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

deleteResourcePolicy(_:logger:on:)

public func deleteResourcePolicy(_ input: DeleteResourcePolicyRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteResourcePolicyResponse>

Deletes a specified policy.

deleteSchema(_:logger:on:)

public func deleteSchema(_ input: DeleteSchemaInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteSchemaResponse>

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

deleteSchemaVersions(_:logger:on:)

public func deleteSchemaVersions(_ input: DeleteSchemaVersionsInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteSchemaVersionsResponse>

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

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

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

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

deleteSecurityConfiguration(_:logger:on:)

public func deleteSecurityConfiguration(_ input: DeleteSecurityConfigurationRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteSecurityConfigurationResponse>

Deletes a specified security configuration.

deleteTable(_:logger:on:)

public func deleteTable(_ input: DeleteTableRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteTableResponse>

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. 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.

deleteTableVersion(_:logger:on:)

public func deleteTableVersion(_ input: DeleteTableVersionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteTableVersionResponse>

Deletes a specified version of a table.

deleteTrigger(_:logger:on:)

public func deleteTrigger(_ input: DeleteTriggerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteTriggerResponse>

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

deleteUserDefinedFunction(_:logger:on:)

public func deleteUserDefinedFunction(_ input: DeleteUserDefinedFunctionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteUserDefinedFunctionResponse>

Deletes an existing function definition from the Data Catalog.

deleteWorkflow(_:logger:on:)

public func deleteWorkflow(_ input: DeleteWorkflowRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteWorkflowResponse>

Deletes a workflow.

getCatalogImportStatus(_:logger:on:)

public func getCatalogImportStatus(_ input: GetCatalogImportStatusRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetCatalogImportStatusResponse>

Retrieves the status of a migration operation.

getClassifier(_:logger:on:)

public func getClassifier(_ input: GetClassifierRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetClassifierResponse>

Retrieve a classifier by name.

getClassifiers(_:logger:on:)

public func getClassifiers(_ input: GetClassifiersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetClassifiersResponse>

Lists all classifier objects in the Data Catalog.

getColumnStatisticsForPartition(_:logger:on:)

public func getColumnStatisticsForPartition(_ input: GetColumnStatisticsForPartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetColumnStatisticsForPartitionResponse>

Retrieves partition statistics of columns.

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

getColumnStatisticsForTable(_:logger:on:)

public func getColumnStatisticsForTable(_ input: GetColumnStatisticsForTableRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetColumnStatisticsForTableResponse>

Retrieves table statistics of columns.

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

getConnection(_:logger:on:)

public func getConnection(_ input: GetConnectionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetConnectionResponse>

Retrieves a connection definition from the Data Catalog.

getConnections(_:logger:on:)

public func getConnections(_ input: GetConnectionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetConnectionsResponse>

Retrieves a list of connection definitions from the Data Catalog.

getCrawler(_:logger:on:)

public func getCrawler(_ input: GetCrawlerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetCrawlerResponse>

Retrieves metadata for a specified crawler.

getCrawlerMetrics(_:logger:on:)

public func getCrawlerMetrics(_ input: GetCrawlerMetricsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetCrawlerMetricsResponse>

Retrieves metrics about specified crawlers.

getCrawlers(_:logger:on:)

public func getCrawlers(_ input: GetCrawlersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetCrawlersResponse>

Retrieves metadata for all crawlers defined in the customer account.

getDataCatalogEncryptionSettings(_:logger:on:)

public func getDataCatalogEncryptionSettings(_ input: GetDataCatalogEncryptionSettingsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetDataCatalogEncryptionSettingsResponse>

Retrieves the security configuration for a specified catalog.

getDatabase(_:logger:on:)

public func getDatabase(_ input: GetDatabaseRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetDatabaseResponse>

Retrieves the definition of a specified database.

getDatabases(_:logger:on:)

public func getDatabases(_ input: GetDatabasesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetDatabasesResponse>

Retrieves all databases defined in a given Data Catalog.

getDataflowGraph(_:logger:on:)

public func getDataflowGraph(_ input: GetDataflowGraphRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetDataflowGraphResponse>

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

getDevEndpoint(_:logger:on:)

public func getDevEndpoint(_ input: GetDevEndpointRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetDevEndpointResponse>

Retrieves information about a specified development endpoint.

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

getDevEndpoints(_:logger:on:)

public func getDevEndpoints(_ input: GetDevEndpointsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetDevEndpointsResponse>

Retrieves all the development endpoints in this AWS account.

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

getJob(_:logger:on:)

public func getJob(_ input: GetJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetJobResponse>

Retrieves an existing job definition.

getJobBookmark(_:logger:on:)

public func getJobBookmark(_ input: GetJobBookmarkRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetJobBookmarkResponse>

Returns information on a job bookmark entry.

getJobRun(_:logger:on:)

public func getJobRun(_ input: GetJobRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetJobRunResponse>

Retrieves the metadata for a given job run.

getJobRuns(_:logger:on:)

public func getJobRuns(_ input: GetJobRunsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetJobRunsResponse>

Retrieves metadata for all runs of a given job definition.

getJobs(_:logger:on:)

public func getJobs(_ input: GetJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetJobsResponse>

Retrieves all current job definitions.

getMLTaskRun(_:logger:on:)

public func getMLTaskRun(_ input: GetMLTaskRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetMLTaskRunResponse>

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

getMLTaskRuns(_:logger:on:)

public func getMLTaskRuns(_ input: GetMLTaskRunsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetMLTaskRunsResponse>

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

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

getMLTransform(_:logger:on:)

public func getMLTransform(_ input: GetMLTransformRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetMLTransformResponse>

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

getMLTransforms(_:logger:on:)

public func getMLTransforms(_ input: GetMLTransformsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetMLTransformsResponse>

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

getMapping(_:logger:on:)

public func getMapping(_ input: GetMappingRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetMappingResponse>

Creates mappings.

getPartition(_:logger:on:)

public func getPartition(_ input: GetPartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetPartitionResponse>

Retrieves information about a specified partition.

getPartitionIndexes(_:logger:on:)

public func getPartitionIndexes(_ input: GetPartitionIndexesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetPartitionIndexesResponse>

Retrieves the partition indexes associated with a table.

getPartitions(_:logger:on:)

public func getPartitions(_ input: GetPartitionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetPartitionsResponse>

Retrieves information about the partitions in a table.

getPlan(_:logger:on:)

public func getPlan(_ input: GetPlanRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetPlanResponse>

Gets code to perform a specified mapping.

getRegistry(_:logger:on:)

public func getRegistry(_ input: GetRegistryInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetRegistryResponse>

Describes the specified registry in detail.

getResourcePolicies(_:logger:on:)

public func getResourcePolicies(_ input: GetResourcePoliciesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetResourcePoliciesResponse>

Retrieves the resource policies set on individual resources by Resource Access Manager during cross-account permission grants. Also retrieves the Data Catalog resource policy.

If you enabled metadata encryption in Data Catalog settings, and you do not have permission on the KMS key, the operation can't return the Data Catalog resource policy.

getResourcePolicy(_:logger:on:)

public func getResourcePolicy(_ input: GetResourcePolicyRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetResourcePolicyResponse>

Retrieves a specified resource policy.

getSchema(_:logger:on:)

public func getSchema(_ input: GetSchemaInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetSchemaResponse>

Describes the specified schema in detail.

getSchemaByDefinition(_:logger:on:)

public func getSchemaByDefinition(_ input: GetSchemaByDefinitionInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetSchemaByDefinitionResponse>

Retrieves a schema by the SchemaDefinition. The schema definition is sent to the Schema Registry, canonicalized, and hashed. If the hash is matched within the scope of the SchemaName or ARN (or the default registry, if none is supplied), that schema’s metadata is returned. Otherwise, a 404 or NotFound error is returned. Schema versions in Deleted statuses will not be included in the results.

getSchemaVersion(_:logger:on:)

public func getSchemaVersion(_ input: GetSchemaVersionInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetSchemaVersionResponse>

Get the specified schema by its unique ID assigned when a version of the schema is created or registered. Schema versions in Deleted status will not be included in the results.

getSchemaVersionsDiff(_:logger:on:)

public func getSchemaVersionsDiff(_ input: GetSchemaVersionsDiffInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetSchemaVersionsDiffResponse>

Fetches the schema version difference in the specified difference type between two stored schema versions in the Schema Registry.

This API allows you to compare two schema versions between two schema definitions under the same schema.

getSecurityConfiguration(_:logger:on:)

public func getSecurityConfiguration(_ input: GetSecurityConfigurationRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetSecurityConfigurationResponse>

Retrieves a specified security configuration.

getSecurityConfigurations(_:logger:on:)

public func getSecurityConfigurations(_ input: GetSecurityConfigurationsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetSecurityConfigurationsResponse>

Retrieves a list of all security configurations.

getTable(_:logger:on:)

public func getTable(_ input: GetTableRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetTableResponse>

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

getTableVersion(_:logger:on:)

public func getTableVersion(_ input: GetTableVersionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetTableVersionResponse>

Retrieves a specified version of a table.

getTableVersions(_:logger:on:)

public func getTableVersions(_ input: GetTableVersionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetTableVersionsResponse>

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

getTables(_:logger:on:)

public func getTables(_ input: GetTablesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetTablesResponse>

Retrieves the definitions of some or all of the tables in a given Database.

getTags(_:logger:on:)

public func getTags(_ input: GetTagsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetTagsResponse>

Retrieves a list of tags associated with a resource.

getTrigger(_:logger:on:)

public func getTrigger(_ input: GetTriggerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetTriggerResponse>

Retrieves the definition of a trigger.

getTriggers(_:logger:on:)

public func getTriggers(_ input: GetTriggersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetTriggersResponse>

Gets all the triggers associated with a job.

getUserDefinedFunction(_:logger:on:)

public func getUserDefinedFunction(_ input: GetUserDefinedFunctionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetUserDefinedFunctionResponse>

Retrieves a specified function definition from the Data Catalog.

getUserDefinedFunctions(_:logger:on:)

public func getUserDefinedFunctions(_ input: GetUserDefinedFunctionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetUserDefinedFunctionsResponse>

Retrieves multiple function definitions from the Data Catalog.

getWorkflow(_:logger:on:)

public func getWorkflow(_ input: GetWorkflowRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetWorkflowResponse>

Retrieves resource metadata for a workflow.

getWorkflowRun(_:logger:on:)

public func getWorkflowRun(_ input: GetWorkflowRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetWorkflowRunResponse>

Retrieves the metadata for a given workflow run.

getWorkflowRunProperties(_:logger:on:)

public func getWorkflowRunProperties(_ input: GetWorkflowRunPropertiesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetWorkflowRunPropertiesResponse>

Retrieves the workflow run properties which were set during the run.

getWorkflowRuns(_:logger:on:)

public func getWorkflowRuns(_ input: GetWorkflowRunsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<GetWorkflowRunsResponse>

Retrieves metadata for all runs of a given workflow.

importCatalogToGlue(_:logger:on:)

public func importCatalogToGlue(_ input: ImportCatalogToGlueRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ImportCatalogToGlueResponse>

Imports an existing Amazon Athena Data Catalog to Glue.

listCrawlers(_:logger:on:)

public func listCrawlers(_ input: ListCrawlersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListCrawlersResponse>

Retrieves the names of all crawler resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

listDevEndpoints(_:logger:on:)

public func listDevEndpoints(_ input: ListDevEndpointsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListDevEndpointsResponse>

Retrieves the names of all DevEndpoint resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

listJobs(_:logger:on:)

public func listJobs(_ input: ListJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListJobsResponse>

Retrieves the names of all job resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

listMLTransforms(_:logger:on:)

public func listMLTransforms(_ input: ListMLTransformsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListMLTransformsResponse>

Retrieves a sortable, filterable list of existing Glue machine learning transforms in this Amazon Web Services account, or the resources with the specified tag. This operation takes the optional Tags field, which you can use as a filter of the responses so that tagged resources can be retrieved as a group. If you choose to use tag filtering, only resources with the tags are retrieved.

listRegistries(_:logger:on:)

public func listRegistries(_ input: ListRegistriesInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListRegistriesResponse>

Returns a list of registries that you have created, with minimal registry information. Registries in the Deleting status will not be included in the results. Empty results will be returned if there are no registries available.

listSchemaVersions(_:logger:on:)

public func listSchemaVersions(_ input: ListSchemaVersionsInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListSchemaVersionsResponse>

Returns a list of schema versions that you have created, with minimal information. Schema versions in Deleted status will not be included in the results. Empty results will be returned if there are no schema versions available.

listSchemas(_:logger:on:)

public func listSchemas(_ input: ListSchemasInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListSchemasResponse>

Returns a list of schemas with minimal details. Schemas in Deleting status will not be included in the results. Empty results will be returned if there are no schemas available.

When the RegistryId is not provided, all the schemas across registries will be part of the API response.

listTriggers(_:logger:on:)

public func listTriggers(_ input: ListTriggersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListTriggersResponse>

Retrieves the names of all trigger resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

listWorkflows(_:logger:on:)

public func listWorkflows(_ input: ListWorkflowsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ListWorkflowsResponse>

Lists names of workflows created in the account.

putDataCatalogEncryptionSettings(_:logger:on:)

public func putDataCatalogEncryptionSettings(_ input: PutDataCatalogEncryptionSettingsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<PutDataCatalogEncryptionSettingsResponse>

Sets the security configuration for a specified catalog. After the configuration has been set, the specified encryption is applied to every catalog write thereafter.

putResourcePolicy(_:logger:on:)

public func putResourcePolicy(_ input: PutResourcePolicyRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<PutResourcePolicyResponse>

Sets the Data Catalog resource policy for access control.

putSchemaVersionMetadata(_:logger:on:)

public func putSchemaVersionMetadata(_ input: PutSchemaVersionMetadataInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<PutSchemaVersionMetadataResponse>

Puts the metadata key value pair for a specified schema version ID. A maximum of 10 key value pairs will be allowed per schema version. They can be added over one or more calls.

putWorkflowRunProperties(_:logger:on:)

public func putWorkflowRunProperties(_ input: PutWorkflowRunPropertiesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<PutWorkflowRunPropertiesResponse>

Puts the specified workflow run properties for the given workflow run. If a property already exists for the specified run, then it overrides the value otherwise adds the property to existing properties.

querySchemaVersionMetadata(_:logger:on:)

public func querySchemaVersionMetadata(_ input: QuerySchemaVersionMetadataInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<QuerySchemaVersionMetadataResponse>

Queries for the schema version metadata information.

registerSchemaVersion(_:logger:on:)

public func registerSchemaVersion(_ input: RegisterSchemaVersionInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<RegisterSchemaVersionResponse>

Adds a new version to the existing schema. Returns an error if new version of schema does not meet the compatibility requirements of the schema set. This API will not create a new schema set and will return a 404 error if the schema set is not already present in the Schema Registry.

If this is the first schema definition to be registered in the Schema Registry, this API will store the schema version and return immediately. Otherwise, this call has the potential to run longer than other operations due to compatibility modes. You can call the GetSchemaVersion API with the SchemaVersionId to check compatibility modes.

If the same schema definition is already stored in Schema Registry as a version, the schema ID of the existing schema is returned to the caller.

removeSchemaVersionMetadata(_:logger:on:)

public func removeSchemaVersionMetadata(_ input: RemoveSchemaVersionMetadataInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<RemoveSchemaVersionMetadataResponse>

Removes a key value pair from the schema version metadata for the specified schema version ID.

resetJobBookmark(_:logger:on:)

public func resetJobBookmark(_ input: ResetJobBookmarkRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ResetJobBookmarkResponse>

Resets a bookmark entry.

resumeWorkflowRun(_:logger:on:)

public func resumeWorkflowRun(_ input: ResumeWorkflowRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<ResumeWorkflowRunResponse>

Restarts selected nodes of a previous partially completed workflow run and resumes the workflow run. The selected nodes and all nodes that are downstream from the selected nodes are run.

searchTables(_:logger:on:)

public func searchTables(_ input: SearchTablesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<SearchTablesResponse>

Searches a set of tables based on properties in the table metadata as well as on the parent database. You can search against text or filter conditions.

You can only get tables that you have access to based on the security policies defined in Lake Formation. You need at least a read-only access to the table for it to be returned. If you do not have access to all the columns in the table, these columns will not be searched against when returning the list of tables back to you. If you have access to the columns but not the data in the columns, those columns and the associated metadata for those columns will be included in the search.

startCrawler(_:logger:on:)

public func startCrawler(_ input: StartCrawlerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartCrawlerResponse>

Starts a crawl using the specified crawler, regardless of what is scheduled. If the crawler is already running, returns a CrawlerRunningException.

startCrawlerSchedule(_:logger:on:)

public func startCrawlerSchedule(_ input: StartCrawlerScheduleRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartCrawlerScheduleResponse>

Changes the schedule state of the specified crawler to SCHEDULED, unless the crawler is already running or the schedule state is already SCHEDULED.

startExportLabelsTaskRun(_:logger:on:)

public func startExportLabelsTaskRun(_ input: StartExportLabelsTaskRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartExportLabelsTaskRunResponse>

Begins an asynchronous task to export all labeled data for a particular transform. This task is the only label-related API call that is not part of the typical active learning workflow. You typically use StartExportLabelsTaskRun when you want to work with all of your existing labels at the same time, such as when you want to remove or change labels that were previously submitted as truth. This API operation accepts the TransformId whose labels you want to export and an Amazon Simple Storage Service (Amazon S3) path to export the labels to. The operation returns a TaskRunId. You can check on the status of your task run by calling the GetMLTaskRun API.

startImportLabelsTaskRun(_:logger:on:)

public func startImportLabelsTaskRun(_ input: StartImportLabelsTaskRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartImportLabelsTaskRunResponse>

Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform and improve its quality. This API operation is generally used as part of the active learning workflow that starts with the StartMLLabelingSetGenerationTaskRun call and that ultimately results in improving the quality of your machine learning transform.

After the StartMLLabelingSetGenerationTaskRun finishes, Glue machine learning will have generated a series of questions for humans to answer. (Answering these questions is often called 'labeling' in the machine learning workflows). In the case of the FindMatches transform, these questions are of the form, “What is the correct way to group these rows together into groups composed entirely of matching records?” After the labeling process is finished, users upload their answers/labels with a call to StartImportLabelsTaskRun. After StartImportLabelsTaskRun finishes, all future runs of the machine learning transform use the new and improved labels and perform a higher-quality transformation.

By default, StartMLLabelingSetGenerationTaskRun continually learns from and combines all labels that you upload unless you set Replace to true. If you set Replace to true, StartImportLabelsTaskRun deletes and forgets all previously uploaded labels and learns only from the exact set that you upload. Replacing labels can be helpful if you realize that you previously uploaded incorrect labels, and you believe that they are having a negative effect on your transform quality.

You can check on the status of your task run by calling the GetMLTaskRun operation.

startJobRun(_:logger:on:)

public func startJobRun(_ input: StartJobRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartJobRunResponse>

Starts a job run using a job definition.

startMLEvaluationTaskRun(_:logger:on:)

public func startMLEvaluationTaskRun(_ input: StartMLEvaluationTaskRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartMLEvaluationTaskRunResponse>

Starts a task to estimate the quality of the transform.

When you provide label sets as examples of truth, Glue machine learning uses some of those examples to learn from them. The rest of the labels are used as a test to estimate quality.

Returns a unique identifier for the run. You can call GetMLTaskRun to get more information about the stats of the EvaluationTaskRun.

startMLLabelingSetGenerationTaskRun(_:logger:on:)

public func startMLLabelingSetGenerationTaskRun(_ input: StartMLLabelingSetGenerationTaskRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartMLLabelingSetGenerationTaskRunResponse>

Starts the active learning workflow for your machine learning transform to improve the transform's quality by generating label sets and adding labels.

When the StartMLLabelingSetGenerationTaskRun finishes, Glue will have generated a "labeling set" or a set of questions for humans to answer.

In the case of the FindMatches transform, these questions are of the form, “What is the correct way to group these rows together into groups composed entirely of matching records?”

After the labeling process is finished, you can upload your labels with a call to StartImportLabelsTaskRun. After StartImportLabelsTaskRun finishes, all future runs of the machine learning transform will use the new and improved labels and perform a higher-quality transformation.

startTrigger(_:logger:on:)

public func startTrigger(_ input: StartTriggerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartTriggerResponse>

Starts an existing trigger. See Triggering Jobs for information about how different types of trigger are started.

startWorkflowRun(_:logger:on:)

public func startWorkflowRun(_ input: StartWorkflowRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StartWorkflowRunResponse>

Starts a new run of the specified workflow.

stopCrawler(_:logger:on:)

public func stopCrawler(_ input: StopCrawlerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopCrawlerResponse>

If the specified crawler is running, stops the crawl.

stopCrawlerSchedule(_:logger:on:)

public func stopCrawlerSchedule(_ input: StopCrawlerScheduleRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopCrawlerScheduleResponse>

Sets the schedule state of the specified crawler to NOT_SCHEDULED, but does not stop the crawler if it is already running.

stopTrigger(_:logger:on:)

public func stopTrigger(_ input: StopTriggerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopTriggerResponse>

Stops a specified trigger.

stopWorkflowRun(_:logger:on:)

public func stopWorkflowRun(_ input: StopWorkflowRunRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<StopWorkflowRunResponse>

Stops the execution of the specified workflow run.

tagResource(_:logger:on:)

public func tagResource(_ input: TagResourceRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<TagResourceResponse>

Adds tags to a resource. A tag is a label you can assign to an Amazon Web Services resource. In Glue, you can tag only certain resources. For information about what resources you can tag, see Amazon Web Services Tags in Glue.

untagResource(_:logger:on:)

public func untagResource(_ input: UntagResourceRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UntagResourceResponse>

Removes tags from a resource.

updateClassifier(_:logger:on:)

public func updateClassifier(_ input: UpdateClassifierRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateClassifierResponse>

Modifies an existing classifier (a GrokClassifier, an XMLClassifier, a JsonClassifier, or a CsvClassifier, depending on which field is present).

updateColumnStatisticsForPartition(_:logger:on:)

public func updateColumnStatisticsForPartition(_ input: UpdateColumnStatisticsForPartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateColumnStatisticsForPartitionResponse>

Creates or updates partition statistics of columns.

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

updateColumnStatisticsForTable(_:logger:on:)

public func updateColumnStatisticsForTable(_ input: UpdateColumnStatisticsForTableRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateColumnStatisticsForTableResponse>

Creates or updates table statistics of columns.

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

updateConnection(_:logger:on:)

public func updateConnection(_ input: UpdateConnectionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateConnectionResponse>

Updates a connection definition in the Data Catalog.

updateCrawler(_:logger:on:)

public func updateCrawler(_ input: UpdateCrawlerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateCrawlerResponse>

Updates a crawler. If a crawler is running, you must stop it using StopCrawler before updating it.

updateCrawlerSchedule(_:logger:on:)

public func updateCrawlerSchedule(_ input: UpdateCrawlerScheduleRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateCrawlerScheduleResponse>

Updates the schedule of a crawler using a cron expression.

updateDatabase(_:logger:on:)

public func updateDatabase(_ input: UpdateDatabaseRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateDatabaseResponse>

Updates an existing database definition in a Data Catalog.

updateDevEndpoint(_:logger:on:)

public func updateDevEndpoint(_ input: UpdateDevEndpointRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateDevEndpointResponse>

Updates a specified development endpoint.

updateJob(_:logger:on:)

public func updateJob(_ input: UpdateJobRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateJobResponse>

Updates an existing job definition.

updateMLTransform(_:logger:on:)

public func updateMLTransform(_ input: UpdateMLTransformRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateMLTransformResponse>

Updates an existing machine learning transform. Call this operation to tune the algorithm parameters to achieve better results.

After calling this operation, you can call the StartMLEvaluationTaskRun operation to assess how well your new parameters achieved your goals (such as improving the quality of your machine learning transform, or making it more cost-effective).

updatePartition(_:logger:on:)

public func updatePartition(_ input: UpdatePartitionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdatePartitionResponse>

Updates a partition.

updateRegistry(_:logger:on:)

public func updateRegistry(_ input: UpdateRegistryInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateRegistryResponse>

Updates an existing registry which is used to hold a collection of schemas. The updated properties relate to the registry, and do not modify any of the schemas within the registry.

updateSchema(_:logger:on:)

public func updateSchema(_ input: UpdateSchemaInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateSchemaResponse>

Updates the description, compatibility setting, or version checkpoint for a schema set.

For updating the compatibility setting, the call will not validate compatibility for the entire set of schema versions with the new compatibility setting. If the value for Compatibility is provided, the VersionNumber (a checkpoint) is also required. The API will validate the checkpoint version number for consistency.

If the value for the VersionNumber (checkpoint) is provided, Compatibility is optional and this can be used to set/reset a checkpoint for the schema.

This update will happen only if the schema is in the AVAILABLE state.

updateTable(_:logger:on:)

public func updateTable(_ input: UpdateTableRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateTableResponse>

Updates a metadata table in the Data Catalog.

updateTrigger(_:logger:on:)

public func updateTrigger(_ input: UpdateTriggerRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateTriggerResponse>

Updates a trigger definition.

updateUserDefinedFunction(_:logger:on:)

public func updateUserDefinedFunction(_ input: UpdateUserDefinedFunctionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateUserDefinedFunctionResponse>

Updates an existing function definition in the Data Catalog.

updateWorkflow(_:logger:on:)

public func updateWorkflow(_ input: UpdateWorkflowRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<UpdateWorkflowResponse>

Updates an existing workflow.

getClassifiersPaginator(_:_:logger:on:onPage:)

public func getClassifiersPaginator<Result>(_ input: GetClassifiersRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetClassifiersResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Lists all classifier objects in the Data Catalog.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getClassifiersPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getClassifiersPaginator(_ input: GetClassifiersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetClassifiersResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getConnectionsPaginator(_:_:logger:on:onPage:)

public func getConnectionsPaginator<Result>(_ input: GetConnectionsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetConnectionsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves a list of connection definitions from the Data Catalog.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getConnectionsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getConnectionsPaginator(_ input: GetConnectionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetConnectionsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getCrawlerMetricsPaginator(_:_:logger:on:onPage:)

public func getCrawlerMetricsPaginator<Result>(_ input: GetCrawlerMetricsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetCrawlerMetricsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves metrics about specified crawlers.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getCrawlerMetricsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getCrawlerMetricsPaginator(_ input: GetCrawlerMetricsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetCrawlerMetricsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getCrawlersPaginator(_:_:logger:on:onPage:)

public func getCrawlersPaginator<Result>(_ input: GetCrawlersRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetCrawlersResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves metadata for all crawlers defined in the customer account.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getCrawlersPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getCrawlersPaginator(_ input: GetCrawlersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetCrawlersResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getDatabasesPaginator(_:_:logger:on:onPage:)

public func getDatabasesPaginator<Result>(_ input: GetDatabasesRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetDatabasesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves all databases defined in a given Data Catalog.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getDatabasesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getDatabasesPaginator(_ input: GetDatabasesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetDatabasesResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getDevEndpointsPaginator(_:_:logger:on:onPage:)

public func getDevEndpointsPaginator<Result>(_ input: GetDevEndpointsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetDevEndpointsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves all the development endpoints in this AWS account.

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

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getDevEndpointsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getDevEndpointsPaginator(_ input: GetDevEndpointsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetDevEndpointsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getJobRunsPaginator(_:_:logger:on:onPage:)

public func getJobRunsPaginator<Result>(_ input: GetJobRunsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetJobRunsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves metadata for all runs of a given job definition.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getJobRunsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getJobRunsPaginator(_ input: GetJobRunsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetJobRunsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getJobsPaginator(_:_:logger:on:onPage:)

public func getJobsPaginator<Result>(_ input: GetJobsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetJobsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves all current job definitions.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getJobsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getJobsPaginator(_ input: GetJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetJobsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getMLTaskRunsPaginator(_:_:logger:on:onPage:)

public func getMLTaskRunsPaginator<Result>(_ input: GetMLTaskRunsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetMLTaskRunsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

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

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

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getMLTaskRunsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getMLTaskRunsPaginator(_ input: GetMLTaskRunsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetMLTaskRunsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getMLTransformsPaginator(_:_:logger:on:onPage:)

public func getMLTransformsPaginator<Result>(_ input: GetMLTransformsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetMLTransformsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

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

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getMLTransformsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getMLTransformsPaginator(_ input: GetMLTransformsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetMLTransformsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getPartitionIndexesPaginator(_:_:logger:on:onPage:)

public func getPartitionIndexesPaginator<Result>(_ input: GetPartitionIndexesRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetPartitionIndexesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves the partition indexes associated with a table.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getPartitionIndexesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getPartitionIndexesPaginator(_ input: GetPartitionIndexesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetPartitionIndexesResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getPartitionsPaginator(_:_:logger:on:onPage:)

public func getPartitionsPaginator<Result>(_ input: GetPartitionsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetPartitionsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves information about the partitions in a table.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getPartitionsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getPartitionsPaginator(_ input: GetPartitionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetPartitionsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getResourcePoliciesPaginator(_:_:logger:on:onPage:)

public func getResourcePoliciesPaginator<Result>(_ input: GetResourcePoliciesRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetResourcePoliciesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves the resource policies set on individual resources by Resource Access Manager during cross-account permission grants. Also retrieves the Data Catalog resource policy.

If you enabled metadata encryption in Data Catalog settings, and you do not have permission on the KMS key, the operation can't return the Data Catalog resource policy.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getResourcePoliciesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getResourcePoliciesPaginator(_ input: GetResourcePoliciesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetResourcePoliciesResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getSecurityConfigurationsPaginator(_:_:logger:on:onPage:)

public func getSecurityConfigurationsPaginator<Result>(_ input: GetSecurityConfigurationsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetSecurityConfigurationsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves a list of all security configurations.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getSecurityConfigurationsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getSecurityConfigurationsPaginator(_ input: GetSecurityConfigurationsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetSecurityConfigurationsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getTableVersionsPaginator(_:_:logger:on:onPage:)

public func getTableVersionsPaginator<Result>(_ input: GetTableVersionsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetTableVersionsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

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

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getTableVersionsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getTableVersionsPaginator(_ input: GetTableVersionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetTableVersionsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getTablesPaginator(_:_:logger:on:onPage:)

public func getTablesPaginator<Result>(_ input: GetTablesRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetTablesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves the definitions of some or all of the tables in a given Database.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getTablesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getTablesPaginator(_ input: GetTablesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetTablesResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getTriggersPaginator(_:_:logger:on:onPage:)

public func getTriggersPaginator<Result>(_ input: GetTriggersRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetTriggersResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Gets all the triggers associated with a job.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getTriggersPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getTriggersPaginator(_ input: GetTriggersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetTriggersResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getUserDefinedFunctionsPaginator(_:_:logger:on:onPage:)

public func getUserDefinedFunctionsPaginator<Result>(_ input: GetUserDefinedFunctionsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetUserDefinedFunctionsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves multiple function definitions from the Data Catalog.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getUserDefinedFunctionsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getUserDefinedFunctionsPaginator(_ input: GetUserDefinedFunctionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetUserDefinedFunctionsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

getWorkflowRunsPaginator(_:_:logger:on:onPage:)

public func getWorkflowRunsPaginator<Result>(_ input: GetWorkflowRunsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, GetWorkflowRunsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves metadata for all runs of a given workflow.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

getWorkflowRunsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func getWorkflowRunsPaginator(_ input: GetWorkflowRunsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (GetWorkflowRunsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listCrawlersPaginator(_:_:logger:on:onPage:)

public func listCrawlersPaginator<Result>(_ input: ListCrawlersRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListCrawlersResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves the names of all crawler resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listCrawlersPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listCrawlersPaginator(_ input: ListCrawlersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListCrawlersResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listDevEndpointsPaginator(_:_:logger:on:onPage:)

public func listDevEndpointsPaginator<Result>(_ input: ListDevEndpointsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListDevEndpointsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves the names of all DevEndpoint resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listDevEndpointsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listDevEndpointsPaginator(_ input: ListDevEndpointsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListDevEndpointsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listJobsPaginator(_:_:logger:on:onPage:)

public func listJobsPaginator<Result>(_ input: ListJobsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListJobsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves the names of all job resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listJobsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listJobsPaginator(_ input: ListJobsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListJobsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listMLTransformsPaginator(_:_:logger:on:onPage:)

public func listMLTransformsPaginator<Result>(_ input: ListMLTransformsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListMLTransformsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves a sortable, filterable list of existing Glue machine learning transforms in this Amazon Web Services account, or the resources with the specified tag. This operation takes the optional Tags field, which you can use as a filter of the responses so that tagged resources can be retrieved as a group. If you choose to use tag filtering, only resources with the tags are retrieved.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listMLTransformsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listMLTransformsPaginator(_ input: ListMLTransformsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListMLTransformsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listRegistriesPaginator(_:_:logger:on:onPage:)

public func listRegistriesPaginator<Result>(_ input: ListRegistriesInput, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListRegistriesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Returns a list of registries that you have created, with minimal registry information. Registries in the Deleting status will not be included in the results. Empty results will be returned if there are no registries available.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listRegistriesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listRegistriesPaginator(_ input: ListRegistriesInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListRegistriesResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listSchemaVersionsPaginator(_:_:logger:on:onPage:)

public func listSchemaVersionsPaginator<Result>(_ input: ListSchemaVersionsInput, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListSchemaVersionsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Returns a list of schema versions that you have created, with minimal information. Schema versions in Deleted status will not be included in the results. Empty results will be returned if there are no schema versions available.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listSchemaVersionsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listSchemaVersionsPaginator(_ input: ListSchemaVersionsInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListSchemaVersionsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listSchemasPaginator(_:_:logger:on:onPage:)

public func listSchemasPaginator<Result>(_ input: ListSchemasInput, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListSchemasResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Returns a list of schemas with minimal details. Schemas in Deleting status will not be included in the results. Empty results will be returned if there are no schemas available.

When the RegistryId is not provided, all the schemas across registries will be part of the API response.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listSchemasPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listSchemasPaginator(_ input: ListSchemasInput, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListSchemasResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listTriggersPaginator(_:_:logger:on:onPage:)

public func listTriggersPaginator<Result>(_ input: ListTriggersRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListTriggersResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Retrieves the names of all trigger resources in this Amazon Web Services account, or the resources with the specified tag. This operation allows you to see which resources are available in your account, and their names.

This operation takes the optional Tags field, which you can use as a filter on the response so that tagged resources can be retrieved as a group. If you choose to use tags filtering, only resources with the tag are retrieved.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listTriggersPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listTriggersPaginator(_ input: ListTriggersRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListTriggersResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

listWorkflowsPaginator(_:_:logger:on:onPage:)

public func listWorkflowsPaginator<Result>(_ input: ListWorkflowsRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, ListWorkflowsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Lists names of workflows created in the account.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

listWorkflowsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func listWorkflowsPaginator(_ input: ListWorkflowsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (ListWorkflowsResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

searchTablesPaginator(_:_:logger:on:onPage:)

public func searchTablesPaginator<Result>(_ input: SearchTablesRequest, _ initialValue: Result, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (Result, SearchTablesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>) -> EventLoopFuture<Result>

Searches a set of tables based on properties in the table metadata as well as on the parent database. You can search against text or filter conditions.

You can only get tables that you have access to based on the security policies defined in Lake Formation. You need at least a read-only access to the table for it to be returned. If you do not have access to all the columns in the table, these columns will not be searched against when returning the list of tables back to you. If you have access to the columns but not the data in the columns, those columns and the associated metadata for those columns will be included in the search.

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:_:) -> Result.

Parameters:

  • input: Input for request
  • initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

searchTablesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func searchTablesPaginator(_ input: SearchTablesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil, onPage: @escaping (SearchTablesResponse, EventLoop) -> EventLoopFuture<Bool>) -> EventLoopFuture<Void>

Parameters

  • input: Input for request
  • logger: Logger used for logging output
  • eventLoop: EventLoop to run this process on
  • onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.