@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAWSGlue extends Object implements AWSGlue
AWSGlue. Convenient method forms pass through to the corresponding overload that
takes a request object, which throws an UnsupportedOperationException.ENDPOINT_PREFIX| Modifier | Constructor and Description |
|---|---|
protected |
AbstractAWSGlue() |
| Modifier and Type | Method and Description |
|---|---|
BatchCreatePartitionResult |
batchCreatePartition(BatchCreatePartitionRequest request)
Creates one or more partitions in a batch operation.
|
BatchDeleteConnectionResult |
batchDeleteConnection(BatchDeleteConnectionRequest request)
Deletes a list of connection definitions from the Data Catalog.
|
BatchDeletePartitionResult |
batchDeletePartition(BatchDeletePartitionRequest request)
Deletes one or more partitions in a batch operation.
|
BatchDeleteTableResult |
batchDeleteTable(BatchDeleteTableRequest request)
Deletes multiple tables at once.
|
BatchDeleteTableVersionResult |
batchDeleteTableVersion(BatchDeleteTableVersionRequest request)
Deletes a specified batch of versions of a table.
|
BatchGetCrawlersResult |
batchGetCrawlers(BatchGetCrawlersRequest request)
Returns a list of resource metadata for a given list of crawler names.
|
BatchGetDevEndpointsResult |
batchGetDevEndpoints(BatchGetDevEndpointsRequest request)
Returns a list of resource metadata for a given list of development endpoint names.
|
BatchGetJobsResult |
batchGetJobs(BatchGetJobsRequest request)
Returns a list of resource metadata for a given list of job names.
|
BatchGetPartitionResult |
batchGetPartition(BatchGetPartitionRequest request)
Retrieves partitions in a batch request.
|
BatchGetTriggersResult |
batchGetTriggers(BatchGetTriggersRequest request)
Returns a list of resource metadata for a given list of trigger names.
|
BatchGetWorkflowsResult |
batchGetWorkflows(BatchGetWorkflowsRequest request)
Returns a list of resource metadata for a given list of workflow names.
|
BatchStopJobRunResult |
batchStopJobRun(BatchStopJobRunRequest request)
Stops one or more job runs for a specified job definition.
|
CancelMLTaskRunResult |
cancelMLTaskRun(CancelMLTaskRunRequest request)
Cancels (stops) a task run.
|
CreateClassifierResult |
createClassifier(CreateClassifierRequest request)
Creates a classifier in the user's account.
|
CreateConnectionResult |
createConnection(CreateConnectionRequest request)
Creates a connection definition in the Data Catalog.
|
CreateCrawlerResult |
createCrawler(CreateCrawlerRequest request)
Creates a new crawler with specified targets, role, configuration, and optional schedule.
|
CreateDatabaseResult |
createDatabase(CreateDatabaseRequest request)
Creates a new database in a Data Catalog.
|
CreateDevEndpointResult |
createDevEndpoint(CreateDevEndpointRequest request)
Creates a new development endpoint.
|
CreateJobResult |
createJob(CreateJobRequest request)
Creates a new job definition.
|
CreateMLTransformResult |
createMLTransform(CreateMLTransformRequest request)
Creates an AWS Glue machine learning transform.
|
CreatePartitionResult |
createPartition(CreatePartitionRequest request)
Creates a new partition.
|
CreateScriptResult |
createScript(CreateScriptRequest request)
Transforms a directed acyclic graph (DAG) into code.
|
CreateSecurityConfigurationResult |
createSecurityConfiguration(CreateSecurityConfigurationRequest request)
Creates a new security configuration.
|
CreateTableResult |
createTable(CreateTableRequest request)
Creates a new table definition in the Data Catalog.
|
CreateTriggerResult |
createTrigger(CreateTriggerRequest request)
Creates a new trigger.
|
CreateUserDefinedFunctionResult |
createUserDefinedFunction(CreateUserDefinedFunctionRequest request)
Creates a new function definition in the Data Catalog.
|
CreateWorkflowResult |
createWorkflow(CreateWorkflowRequest request)
Creates a new workflow.
|
DeleteClassifierResult |
deleteClassifier(DeleteClassifierRequest request)
Removes a classifier from the Data Catalog.
|
DeleteColumnStatisticsForPartitionResult |
deleteColumnStatisticsForPartition(DeleteColumnStatisticsForPartitionRequest request)
Delete the partition column statistics of a column.
|
DeleteColumnStatisticsForTableResult |
deleteColumnStatisticsForTable(DeleteColumnStatisticsForTableRequest request)
Retrieves table statistics of columns.
|
DeleteConnectionResult |
deleteConnection(DeleteConnectionRequest request)
Deletes a connection from the Data Catalog.
|
DeleteCrawlerResult |
deleteCrawler(DeleteCrawlerRequest request)
Removes a specified crawler from the AWS Glue Data Catalog, unless the crawler state is
RUNNING. |
DeleteDatabaseResult |
deleteDatabase(DeleteDatabaseRequest request)
Removes a specified database from a Data Catalog.
|
DeleteDevEndpointResult |
deleteDevEndpoint(DeleteDevEndpointRequest request)
Deletes a specified development endpoint.
|
DeleteJobResult |
deleteJob(DeleteJobRequest request)
Deletes a specified job definition.
|
DeleteMLTransformResult |
deleteMLTransform(DeleteMLTransformRequest request)
Deletes an AWS Glue machine learning transform.
|
DeletePartitionResult |
deletePartition(DeletePartitionRequest request)
Deletes a specified partition.
|
DeleteResourcePolicyResult |
deleteResourcePolicy(DeleteResourcePolicyRequest request)
Deletes a specified policy.
|
DeleteSecurityConfigurationResult |
deleteSecurityConfiguration(DeleteSecurityConfigurationRequest request)
Deletes a specified security configuration.
|
DeleteTableResult |
deleteTable(DeleteTableRequest request)
Removes a table definition from the Data Catalog.
|
DeleteTableVersionResult |
deleteTableVersion(DeleteTableVersionRequest request)
Deletes a specified version of a table.
|
DeleteTriggerResult |
deleteTrigger(DeleteTriggerRequest request)
Deletes a specified trigger.
|
DeleteUserDefinedFunctionResult |
deleteUserDefinedFunction(DeleteUserDefinedFunctionRequest request)
Deletes an existing function definition from the Data Catalog.
|
DeleteWorkflowResult |
deleteWorkflow(DeleteWorkflowRequest request)
Deletes a workflow.
|
ResponseMetadata |
getCachedResponseMetadata(AmazonWebServiceRequest request)
Returns additional metadata for a previously executed successful request, typically used for debugging issues
where a service isn't acting as expected.
|
GetCatalogImportStatusResult |
getCatalogImportStatus(GetCatalogImportStatusRequest request)
Retrieves the status of a migration operation.
|
GetClassifierResult |
getClassifier(GetClassifierRequest request)
Retrieve a classifier by name.
|
GetClassifiersResult |
getClassifiers(GetClassifiersRequest request)
Lists all classifier objects in the Data Catalog.
|
GetColumnStatisticsForPartitionResult |
getColumnStatisticsForPartition(GetColumnStatisticsForPartitionRequest request)
Retrieves partition statistics of columns.
|
GetColumnStatisticsForTableResult |
getColumnStatisticsForTable(GetColumnStatisticsForTableRequest request)
Retrieves table statistics of columns.
|
GetConnectionResult |
getConnection(GetConnectionRequest request)
Retrieves a connection definition from the Data Catalog.
|
GetConnectionsResult |
getConnections(GetConnectionsRequest request)
Retrieves a list of connection definitions from the Data Catalog.
|
GetCrawlerResult |
getCrawler(GetCrawlerRequest request)
Retrieves metadata for a specified crawler.
|
GetCrawlerMetricsResult |
getCrawlerMetrics(GetCrawlerMetricsRequest request)
Retrieves metrics about specified crawlers.
|
GetCrawlersResult |
getCrawlers(GetCrawlersRequest request)
Retrieves metadata for all crawlers defined in the customer account.
|
GetDatabaseResult |
getDatabase(GetDatabaseRequest request)
Retrieves the definition of a specified database.
|
GetDatabasesResult |
getDatabases(GetDatabasesRequest request)
Retrieves all databases defined in a given Data Catalog.
|
GetDataCatalogEncryptionSettingsResult |
getDataCatalogEncryptionSettings(GetDataCatalogEncryptionSettingsRequest request)
Retrieves the security configuration for a specified catalog.
|
GetDataflowGraphResult |
getDataflowGraph(GetDataflowGraphRequest request)
Transforms a Python script into a directed acyclic graph (DAG).
|
GetDevEndpointResult |
getDevEndpoint(GetDevEndpointRequest request)
Retrieves information about a specified development endpoint.
|
GetDevEndpointsResult |
getDevEndpoints(GetDevEndpointsRequest request)
Retrieves all the development endpoints in this AWS account.
|
GetJobResult |
getJob(GetJobRequest request)
Retrieves an existing job definition.
|
GetJobBookmarkResult |
getJobBookmark(GetJobBookmarkRequest request)
Returns information on a job bookmark entry.
|
GetJobRunResult |
getJobRun(GetJobRunRequest request)
Retrieves the metadata for a given job run.
|
GetJobRunsResult |
getJobRuns(GetJobRunsRequest request)
Retrieves metadata for all runs of a given job definition.
|
GetJobsResult |
getJobs(GetJobsRequest request)
Retrieves all current job definitions.
|
GetMappingResult |
getMapping(GetMappingRequest request)
Creates mappings.
|
GetMLTaskRunResult |
getMLTaskRun(GetMLTaskRunRequest request)
Gets details for a specific task run on a machine learning transform.
|
GetMLTaskRunsResult |
getMLTaskRuns(GetMLTaskRunsRequest request)
Gets a list of runs for a machine learning transform.
|
GetMLTransformResult |
getMLTransform(GetMLTransformRequest request)
Gets an AWS Glue machine learning transform artifact and all its corresponding metadata.
|
GetMLTransformsResult |
getMLTransforms(GetMLTransformsRequest request)
Gets a sortable, filterable list of existing AWS Glue machine learning transforms.
|
GetPartitionResult |
getPartition(GetPartitionRequest request)
Retrieves information about a specified partition.
|
GetPartitionsResult |
getPartitions(GetPartitionsRequest request)
Retrieves information about the partitions in a table.
|
GetPlanResult |
getPlan(GetPlanRequest request)
Gets code to perform a specified mapping.
|
GetResourcePoliciesResult |
getResourcePolicies(GetResourcePoliciesRequest request)
Retrieves the security configurations for the resource policies set on individual resources, and also the
account-level policy.
|
GetResourcePolicyResult |
getResourcePolicy(GetResourcePolicyRequest request)
Retrieves a specified resource policy.
|
GetSecurityConfigurationResult |
getSecurityConfiguration(GetSecurityConfigurationRequest request)
Retrieves a specified security configuration.
|
GetSecurityConfigurationsResult |
getSecurityConfigurations(GetSecurityConfigurationsRequest request)
Retrieves a list of all security configurations.
|
GetTableResult |
getTable(GetTableRequest request)
Retrieves the
Table definition in a Data Catalog for a specified table. |
GetTablesResult |
getTables(GetTablesRequest request)
Retrieves the definitions of some or all of the tables in a given
Database. |
GetTableVersionResult |
getTableVersion(GetTableVersionRequest request)
Retrieves a specified version of a table.
|
GetTableVersionsResult |
getTableVersions(GetTableVersionsRequest request)
Retrieves a list of strings that identify available versions of a specified table.
|
GetTagsResult |
getTags(GetTagsRequest request)
Retrieves a list of tags associated with a resource.
|
GetTriggerResult |
getTrigger(GetTriggerRequest request)
Retrieves the definition of a trigger.
|
GetTriggersResult |
getTriggers(GetTriggersRequest request)
Gets all the triggers associated with a job.
|
GetUserDefinedFunctionResult |
getUserDefinedFunction(GetUserDefinedFunctionRequest request)
Retrieves a specified function definition from the Data Catalog.
|
GetUserDefinedFunctionsResult |
getUserDefinedFunctions(GetUserDefinedFunctionsRequest request)
Retrieves multiple function definitions from the Data Catalog.
|
GetWorkflowResult |
getWorkflow(GetWorkflowRequest request)
Retrieves resource metadata for a workflow.
|
GetWorkflowRunResult |
getWorkflowRun(GetWorkflowRunRequest request)
Retrieves the metadata for a given workflow run.
|
GetWorkflowRunPropertiesResult |
getWorkflowRunProperties(GetWorkflowRunPropertiesRequest request)
Retrieves the workflow run properties which were set during the run.
|
GetWorkflowRunsResult |
getWorkflowRuns(GetWorkflowRunsRequest request)
Retrieves metadata for all runs of a given workflow.
|
ImportCatalogToGlueResult |
importCatalogToGlue(ImportCatalogToGlueRequest request)
Imports an existing Amazon Athena Data Catalog to AWS Glue
|
ListCrawlersResult |
listCrawlers(ListCrawlersRequest request)
Retrieves the names of all crawler resources in this AWS account, or the resources with the specified tag.
|
ListDevEndpointsResult |
listDevEndpoints(ListDevEndpointsRequest request)
Retrieves the names of all
DevEndpoint resources in this AWS account, or the resources with the
specified tag. |
ListJobsResult |
listJobs(ListJobsRequest request)
Retrieves the names of all job resources in this AWS account, or the resources with the specified tag.
|
ListMLTransformsResult |
listMLTransforms(ListMLTransformsRequest request)
Retrieves a sortable, filterable list of existing AWS Glue machine learning transforms in this AWS account, or
the resources with the specified tag.
|
ListTriggersResult |
listTriggers(ListTriggersRequest request)
Retrieves the names of all trigger resources in this AWS account, or the resources with the specified tag.
|
ListWorkflowsResult |
listWorkflows(ListWorkflowsRequest request)
Lists names of workflows created in the account.
|
PutDataCatalogEncryptionSettingsResult |
putDataCatalogEncryptionSettings(PutDataCatalogEncryptionSettingsRequest request)
Sets the security configuration for a specified catalog.
|
PutResourcePolicyResult |
putResourcePolicy(PutResourcePolicyRequest request)
Sets the Data Catalog resource policy for access control.
|
PutWorkflowRunPropertiesResult |
putWorkflowRunProperties(PutWorkflowRunPropertiesRequest request)
Puts the specified workflow run properties for the given workflow run.
|
ResetJobBookmarkResult |
resetJobBookmark(ResetJobBookmarkRequest request)
Resets a bookmark entry.
|
ResumeWorkflowRunResult |
resumeWorkflowRun(ResumeWorkflowRunRequest request)
Restarts selected nodes of a previous partially completed workflow run and resumes the workflow run.
|
SearchTablesResult |
searchTables(SearchTablesRequest request)
Searches a set of tables based on properties in the table metadata as well as on the parent database.
|
void |
shutdown()
Shuts down this client object, releasing any resources that might be held open.
|
StartCrawlerResult |
startCrawler(StartCrawlerRequest request)
Starts a crawl using the specified crawler, regardless of what is scheduled.
|
StartCrawlerScheduleResult |
startCrawlerSchedule(StartCrawlerScheduleRequest request)
Changes the schedule state of the specified crawler to
SCHEDULED, unless the crawler is already
running or the schedule state is already SCHEDULED. |
StartExportLabelsTaskRunResult |
startExportLabelsTaskRun(StartExportLabelsTaskRunRequest request)
Begins an asynchronous task to export all labeled data for a particular transform.
|
StartImportLabelsTaskRunResult |
startImportLabelsTaskRun(StartImportLabelsTaskRunRequest request)
Enables you to provide additional labels (examples of truth) to be used to teach the machine learning transform
and improve its quality.
|
StartJobRunResult |
startJobRun(StartJobRunRequest request)
Starts a job run using a job definition.
|
StartMLEvaluationTaskRunResult |
startMLEvaluationTaskRun(StartMLEvaluationTaskRunRequest request)
Starts a task to estimate the quality of the transform.
|
StartMLLabelingSetGenerationTaskRunResult |
startMLLabelingSetGenerationTaskRun(StartMLLabelingSetGenerationTaskRunRequest request)
Starts the active learning workflow for your machine learning transform to improve the transform's quality by
generating label sets and adding labels.
|
StartTriggerResult |
startTrigger(StartTriggerRequest request)
Starts an existing trigger.
|
StartWorkflowRunResult |
startWorkflowRun(StartWorkflowRunRequest request)
Starts a new run of the specified workflow.
|
StopCrawlerResult |
stopCrawler(StopCrawlerRequest request)
If the specified crawler is running, stops the crawl.
|
StopCrawlerScheduleResult |
stopCrawlerSchedule(StopCrawlerScheduleRequest request)
Sets the schedule state of the specified crawler to
NOT_SCHEDULED, but does not stop the crawler if
it is already running. |
StopTriggerResult |
stopTrigger(StopTriggerRequest request)
Stops a specified trigger.
|
StopWorkflowRunResult |
stopWorkflowRun(StopWorkflowRunRequest request)
Stops the execution of the specified workflow run.
|
TagResourceResult |
tagResource(TagResourceRequest request)
Adds tags to a resource.
|
UntagResourceResult |
untagResource(UntagResourceRequest request)
Removes tags from a resource.
|
UpdateClassifierResult |
updateClassifier(UpdateClassifierRequest request)
Modifies an existing classifier (a
GrokClassifier, an XMLClassifier, a
JsonClassifier, or a CsvClassifier, depending on which field is present). |
UpdateColumnStatisticsForPartitionResult |
updateColumnStatisticsForPartition(UpdateColumnStatisticsForPartitionRequest request)
Creates or updates partition statistics of columns.
|
UpdateColumnStatisticsForTableResult |
updateColumnStatisticsForTable(UpdateColumnStatisticsForTableRequest request)
Creates or updates table statistics of columns.
|
UpdateConnectionResult |
updateConnection(UpdateConnectionRequest request)
Updates a connection definition in the Data Catalog.
|
UpdateCrawlerResult |
updateCrawler(UpdateCrawlerRequest request)
Updates a crawler.
|
UpdateCrawlerScheduleResult |
updateCrawlerSchedule(UpdateCrawlerScheduleRequest request)
Updates the schedule of a crawler using a
cron expression. |
UpdateDatabaseResult |
updateDatabase(UpdateDatabaseRequest request)
Updates an existing database definition in a Data Catalog.
|
UpdateDevEndpointResult |
updateDevEndpoint(UpdateDevEndpointRequest request)
Updates a specified development endpoint.
|
UpdateJobResult |
updateJob(UpdateJobRequest request)
Updates an existing job definition.
|
UpdateMLTransformResult |
updateMLTransform(UpdateMLTransformRequest request)
Updates an existing machine learning transform.
|
UpdatePartitionResult |
updatePartition(UpdatePartitionRequest request)
Updates a partition.
|
UpdateTableResult |
updateTable(UpdateTableRequest request)
Updates a metadata table in the Data Catalog.
|
UpdateTriggerResult |
updateTrigger(UpdateTriggerRequest request)
Updates a trigger definition.
|
UpdateUserDefinedFunctionResult |
updateUserDefinedFunction(UpdateUserDefinedFunctionRequest request)
Updates an existing function definition in the Data Catalog.
|
UpdateWorkflowResult |
updateWorkflow(UpdateWorkflowRequest request)
Updates an existing workflow.
|
public BatchCreatePartitionResult batchCreatePartition(BatchCreatePartitionRequest request)
AWSGlueCreates one or more partitions in a batch operation.
batchCreatePartition in interface AWSGluepublic BatchDeleteConnectionResult batchDeleteConnection(BatchDeleteConnectionRequest request)
AWSGlueDeletes a list of connection definitions from the Data Catalog.
batchDeleteConnection in interface AWSGluepublic BatchDeletePartitionResult batchDeletePartition(BatchDeletePartitionRequest request)
AWSGlueDeletes one or more partitions in a batch operation.
batchDeletePartition in interface AWSGluepublic BatchDeleteTableResult batchDeleteTable(BatchDeleteTableRequest request)
AWSGlueDeletes multiple tables at once.
After completing this operation, you no longer have access to the table versions and partitions that belong to the deleted table. AWS Glue deletes these "orphaned" resources asynchronously in a timely manner, at the discretion of the service.
To ensure the immediate deletion of all related resources, before calling BatchDeleteTable, use
DeleteTableVersion or BatchDeleteTableVersion, and DeletePartition or
BatchDeletePartition, to delete any resources that belong to the table.
batchDeleteTable in interface AWSGluepublic BatchDeleteTableVersionResult batchDeleteTableVersion(BatchDeleteTableVersionRequest request)
AWSGlueDeletes a specified batch of versions of a table.
batchDeleteTableVersion in interface AWSGluepublic BatchGetCrawlersResult batchGetCrawlers(BatchGetCrawlersRequest request)
AWSGlue
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.
batchGetCrawlers in interface AWSGluepublic BatchGetDevEndpointsResult batchGetDevEndpoints(BatchGetDevEndpointsRequest request)
AWSGlue
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.
batchGetDevEndpoints in interface AWSGluepublic BatchGetJobsResult batchGetJobs(BatchGetJobsRequest request)
AWSGlue
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.
batchGetJobs in interface AWSGluepublic BatchGetPartitionResult batchGetPartition(BatchGetPartitionRequest request)
AWSGlueRetrieves partitions in a batch request.
batchGetPartition in interface AWSGluepublic BatchGetTriggersResult batchGetTriggers(BatchGetTriggersRequest request)
AWSGlue
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.
batchGetTriggers in interface AWSGluepublic BatchGetWorkflowsResult batchGetWorkflows(BatchGetWorkflowsRequest request)
AWSGlue
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.
batchGetWorkflows in interface AWSGluepublic BatchStopJobRunResult batchStopJobRun(BatchStopJobRunRequest request)
AWSGlueStops one or more job runs for a specified job definition.
batchStopJobRun in interface AWSGluepublic CancelMLTaskRunResult cancelMLTaskRun(CancelMLTaskRunRequest request)
AWSGlue
Cancels (stops) a task run. Machine learning task runs are asynchronous tasks that AWS Glue runs on your behalf
as part of various machine learning workflows. You can cancel a machine learning task run at any time by calling
CancelMLTaskRun with a task run's parent transform's TransformID and the task run's
TaskRunId.
cancelMLTaskRun in interface AWSGluepublic CreateClassifierResult createClassifier(CreateClassifierRequest request)
AWSGlue
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.
createClassifier in interface AWSGluepublic CreateConnectionResult createConnection(CreateConnectionRequest request)
AWSGlueCreates a connection definition in the Data Catalog.
createConnection in interface AWSGluepublic CreateCrawlerResult createCrawler(CreateCrawlerRequest request)
AWSGlue
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.
createCrawler in interface AWSGluepublic CreateDatabaseResult createDatabase(CreateDatabaseRequest request)
AWSGlueCreates a new database in a Data Catalog.
createDatabase in interface AWSGluepublic CreateDevEndpointResult createDevEndpoint(CreateDevEndpointRequest request)
AWSGlueCreates a new development endpoint.
createDevEndpoint in interface AWSGluepublic CreateJobResult createJob(CreateJobRequest request)
AWSGlueCreates a new job definition.
createJob in interface AWSGluepublic CreateMLTransformResult createMLTransform(CreateMLTransformRequest request)
AWSGlueCreates an AWS Glue machine learning transform. This operation creates the transform and all the necessary parameters to train it.
Call this operation as the first step in the process of using a machine learning transform (such as the
FindMatches transform) for deduplicating data. You can provide an optional Description,
in addition to the parameters that you want to use for your algorithm.
You must also specify certain parameters for the tasks that AWS Glue runs on your behalf as part of learning from
your data and creating a high-quality machine learning transform. These parameters include Role, and
optionally, AllocatedCapacity, Timeout, and MaxRetries. For more
information, see Jobs.
createMLTransform in interface AWSGluepublic CreatePartitionResult createPartition(CreatePartitionRequest request)
AWSGlueCreates a new partition.
createPartition in interface AWSGluepublic CreateScriptResult createScript(CreateScriptRequest request)
AWSGlueTransforms a directed acyclic graph (DAG) into code.
createScript in interface AWSGluepublic CreateSecurityConfigurationResult createSecurityConfiguration(CreateSecurityConfigurationRequest request)
AWSGlueCreates a new security configuration. A security configuration is a set of security properties that can be used by AWS Glue. You can use a security configuration to encrypt data at rest. For information about using security configurations in AWS Glue, see Encrypting Data Written by Crawlers, Jobs, and Development Endpoints.
createSecurityConfiguration in interface AWSGluepublic CreateTableResult createTable(CreateTableRequest request)
AWSGlueCreates a new table definition in the Data Catalog.
createTable in interface AWSGluepublic CreateTriggerResult createTrigger(CreateTriggerRequest request)
AWSGlueCreates a new trigger.
createTrigger in interface AWSGluepublic CreateUserDefinedFunctionResult createUserDefinedFunction(CreateUserDefinedFunctionRequest request)
AWSGlueCreates a new function definition in the Data Catalog.
createUserDefinedFunction in interface AWSGluepublic CreateWorkflowResult createWorkflow(CreateWorkflowRequest request)
AWSGlueCreates a new workflow.
createWorkflow in interface AWSGluepublic DeleteClassifierResult deleteClassifier(DeleteClassifierRequest request)
AWSGlueRemoves a classifier from the Data Catalog.
deleteClassifier in interface AWSGluepublic DeleteColumnStatisticsForPartitionResult deleteColumnStatisticsForPartition(DeleteColumnStatisticsForPartitionRequest request)
AWSGlueDelete the partition column statistics of a column.
deleteColumnStatisticsForPartition in interface AWSGluepublic DeleteColumnStatisticsForTableResult deleteColumnStatisticsForTable(DeleteColumnStatisticsForTableRequest request)
AWSGlueRetrieves table statistics of columns.
deleteColumnStatisticsForTable in interface AWSGluepublic DeleteConnectionResult deleteConnection(DeleteConnectionRequest request)
AWSGlueDeletes a connection from the Data Catalog.
deleteConnection in interface AWSGluepublic DeleteCrawlerResult deleteCrawler(DeleteCrawlerRequest request)
AWSGlue
Removes a specified crawler from the AWS Glue Data Catalog, unless the crawler state is RUNNING.
deleteCrawler in interface AWSGluepublic DeleteDatabaseResult deleteDatabase(DeleteDatabaseRequest request)
AWSGlueRemoves a specified database from a Data Catalog.
After completing this operation, you no longer have access to the tables (and all table versions and partitions that might belong to the tables) and the user-defined functions in the deleted database. AWS Glue deletes these "orphaned" resources asynchronously in a timely manner, at the discretion of the service.
To ensure the immediate deletion of all related resources, before calling DeleteDatabase, use
DeleteTableVersion or BatchDeleteTableVersion, DeletePartition or
BatchDeletePartition, DeleteUserDefinedFunction, and DeleteTable or
BatchDeleteTable, to delete any resources that belong to the database.
deleteDatabase in interface AWSGluepublic DeleteDevEndpointResult deleteDevEndpoint(DeleteDevEndpointRequest request)
AWSGlueDeletes a specified development endpoint.
deleteDevEndpoint in interface AWSGluepublic DeleteJobResult deleteJob(DeleteJobRequest request)
AWSGlueDeletes a specified job definition. If the job definition is not found, no exception is thrown.
deleteJob in interface AWSGluepublic DeleteMLTransformResult deleteMLTransform(DeleteMLTransformRequest request)
AWSGlue
Deletes an AWS Glue machine learning transform. Machine learning transforms are a special type of transform that
use machine learning to learn the details of the transformation to be performed by learning from examples
provided by humans. These transformations are then saved by AWS Glue. If you no longer need a transform, you can
delete it by calling DeleteMLTransforms. However, any AWS Glue jobs that still reference the deleted
transform will no longer succeed.
deleteMLTransform in interface AWSGluepublic DeletePartitionResult deletePartition(DeletePartitionRequest request)
AWSGlueDeletes a specified partition.
deletePartition in interface AWSGluepublic DeleteResourcePolicyResult deleteResourcePolicy(DeleteResourcePolicyRequest request)
AWSGlueDeletes a specified policy.
deleteResourcePolicy in interface AWSGluepublic DeleteSecurityConfigurationResult deleteSecurityConfiguration(DeleteSecurityConfigurationRequest request)
AWSGlueDeletes a specified security configuration.
deleteSecurityConfiguration in interface AWSGluepublic DeleteTableResult deleteTable(DeleteTableRequest request)
AWSGlueRemoves a table definition from the Data Catalog.
After completing this operation, you no longer have access to the table versions and partitions that belong to the deleted table. AWS Glue deletes these "orphaned" resources asynchronously in a timely manner, at the discretion of the service.
To ensure the immediate deletion of all related resources, before calling DeleteTable, use
DeleteTableVersion or BatchDeleteTableVersion, and DeletePartition or
BatchDeletePartition, to delete any resources that belong to the table.
deleteTable in interface AWSGluepublic DeleteTableVersionResult deleteTableVersion(DeleteTableVersionRequest request)
AWSGlueDeletes a specified version of a table.
deleteTableVersion in interface AWSGluepublic DeleteTriggerResult deleteTrigger(DeleteTriggerRequest request)
AWSGlueDeletes a specified trigger. If the trigger is not found, no exception is thrown.
deleteTrigger in interface AWSGluepublic DeleteUserDefinedFunctionResult deleteUserDefinedFunction(DeleteUserDefinedFunctionRequest request)
AWSGlueDeletes an existing function definition from the Data Catalog.
deleteUserDefinedFunction in interface AWSGluepublic DeleteWorkflowResult deleteWorkflow(DeleteWorkflowRequest request)
AWSGlueDeletes a workflow.
deleteWorkflow in interface AWSGluepublic GetCatalogImportStatusResult getCatalogImportStatus(GetCatalogImportStatusRequest request)
AWSGlueRetrieves the status of a migration operation.
getCatalogImportStatus in interface AWSGluepublic GetClassifierResult getClassifier(GetClassifierRequest request)
AWSGlueRetrieve a classifier by name.
getClassifier in interface AWSGluepublic GetClassifiersResult getClassifiers(GetClassifiersRequest request)
AWSGlueLists all classifier objects in the Data Catalog.
getClassifiers in interface AWSGluepublic GetColumnStatisticsForPartitionResult getColumnStatisticsForPartition(GetColumnStatisticsForPartitionRequest request)
AWSGlueRetrieves partition statistics of columns.
getColumnStatisticsForPartition in interface AWSGluepublic GetColumnStatisticsForTableResult getColumnStatisticsForTable(GetColumnStatisticsForTableRequest request)
AWSGlueRetrieves table statistics of columns.
getColumnStatisticsForTable in interface AWSGluepublic GetConnectionResult getConnection(GetConnectionRequest request)
AWSGlueRetrieves a connection definition from the Data Catalog.
getConnection in interface AWSGluepublic GetConnectionsResult getConnections(GetConnectionsRequest request)
AWSGlueRetrieves a list of connection definitions from the Data Catalog.
getConnections in interface AWSGluepublic GetCrawlerResult getCrawler(GetCrawlerRequest request)
AWSGlueRetrieves metadata for a specified crawler.
getCrawler in interface AWSGluepublic GetCrawlerMetricsResult getCrawlerMetrics(GetCrawlerMetricsRequest request)
AWSGlueRetrieves metrics about specified crawlers.
getCrawlerMetrics in interface AWSGluepublic GetCrawlersResult getCrawlers(GetCrawlersRequest request)
AWSGlueRetrieves metadata for all crawlers defined in the customer account.
getCrawlers in interface AWSGluepublic GetDataCatalogEncryptionSettingsResult getDataCatalogEncryptionSettings(GetDataCatalogEncryptionSettingsRequest request)
AWSGlueRetrieves the security configuration for a specified catalog.
getDataCatalogEncryptionSettings in interface AWSGluepublic GetDatabaseResult getDatabase(GetDatabaseRequest request)
AWSGlueRetrieves the definition of a specified database.
getDatabase in interface AWSGluepublic GetDatabasesResult getDatabases(GetDatabasesRequest request)
AWSGlueRetrieves all databases defined in a given Data Catalog.
getDatabases in interface AWSGluepublic GetDataflowGraphResult getDataflowGraph(GetDataflowGraphRequest request)
AWSGlueTransforms a Python script into a directed acyclic graph (DAG).
getDataflowGraph in interface AWSGluepublic GetDevEndpointResult getDevEndpoint(GetDevEndpointRequest request)
AWSGlueRetrieves information about a specified development endpoint.
When you create a development endpoint in a virtual private cloud (VPC), AWS Glue returns only a private IP address, and the public IP address field is not populated. When you create a non-VPC development endpoint, AWS Glue returns only a public IP address.
getDevEndpoint in interface AWSGluepublic GetDevEndpointsResult getDevEndpoints(GetDevEndpointsRequest request)
AWSGlueRetrieves all the development endpoints in this AWS account.
When you create a development endpoint in a virtual private cloud (VPC), AWS Glue returns only a private IP address and the public IP address field is not populated. When you create a non-VPC development endpoint, AWS Glue returns only a public IP address.
getDevEndpoints in interface AWSGluepublic GetJobResult getJob(GetJobRequest request)
AWSGlueRetrieves an existing job definition.
getJob in interface AWSGluepublic GetJobBookmarkResult getJobBookmark(GetJobBookmarkRequest request)
AWSGlueReturns information on a job bookmark entry.
getJobBookmark in interface AWSGluepublic GetJobRunResult getJobRun(GetJobRunRequest request)
AWSGlueRetrieves the metadata for a given job run.
getJobRun in interface AWSGluepublic GetJobRunsResult getJobRuns(GetJobRunsRequest request)
AWSGlueRetrieves metadata for all runs of a given job definition.
getJobRuns in interface AWSGluepublic GetJobsResult getJobs(GetJobsRequest request)
AWSGlueRetrieves all current job definitions.
getJobs in interface AWSGluepublic GetMLTaskRunResult getMLTaskRun(GetMLTaskRunRequest request)
AWSGlue
Gets details for a specific task run on a machine learning transform. Machine learning task runs are asynchronous
tasks that AWS Glue runs on your behalf as part of various machine learning workflows. You can check the stats of
any task run by calling GetMLTaskRun with the TaskRunID and its parent transform's
TransformID.
getMLTaskRun in interface AWSGluepublic GetMLTaskRunsResult getMLTaskRuns(GetMLTaskRunsRequest request)
AWSGlue
Gets a list of runs for a machine learning transform. Machine learning task runs are asynchronous tasks that AWS
Glue runs on your behalf as part of various machine learning workflows. You can get a sortable, filterable list
of machine learning task runs by calling GetMLTaskRuns with their parent transform's
TransformID and other optional parameters as documented in this section.
This operation returns a list of historic runs and must be paginated.
getMLTaskRuns in interface AWSGluepublic GetMLTransformResult getMLTransform(GetMLTransformRequest request)
AWSGlue
Gets an AWS Glue machine learning transform artifact and all its corresponding metadata. Machine learning
transforms are a special type of transform that use machine learning to learn the details of the transformation
to be performed by learning from examples provided by humans. These transformations are then saved by AWS Glue.
You can retrieve their metadata by calling GetMLTransform.
getMLTransform in interface AWSGluepublic GetMLTransformsResult getMLTransforms(GetMLTransformsRequest request)
AWSGlue
Gets a sortable, filterable list of existing AWS Glue machine learning transforms. Machine learning transforms
are a special type of transform that use machine learning to learn the details of the transformation to be
performed by learning from examples provided by humans. These transformations are then saved by AWS Glue, and you
can retrieve their metadata by calling GetMLTransforms.
getMLTransforms in interface AWSGluepublic GetMappingResult getMapping(GetMappingRequest request)
AWSGlueCreates mappings.
getMapping in interface AWSGluepublic GetPartitionResult getPartition(GetPartitionRequest request)
AWSGlueRetrieves information about a specified partition.
getPartition in interface AWSGluepublic GetPartitionsResult getPartitions(GetPartitionsRequest request)
AWSGlueRetrieves information about the partitions in a table.
getPartitions in interface AWSGluepublic GetPlanResult getPlan(GetPlanRequest request)
AWSGlueGets code to perform a specified mapping.
getPlan in interface AWSGluepublic GetResourcePoliciesResult getResourcePolicies(GetResourcePoliciesRequest request)
AWSGlueRetrieves the security configurations for the resource policies set on individual resources, and also the account-level policy.
This operation also returns the Data Catalog resource policy. However, if you enabled metadata encryption in Data Catalog settings, and you do not have permission on the AWS KMS key, the operation can't return the Data Catalog resource policy.
getResourcePolicies in interface AWSGluepublic GetResourcePolicyResult getResourcePolicy(GetResourcePolicyRequest request)
AWSGlueRetrieves a specified resource policy.
getResourcePolicy in interface AWSGluepublic GetSecurityConfigurationResult getSecurityConfiguration(GetSecurityConfigurationRequest request)
AWSGlueRetrieves a specified security configuration.
getSecurityConfiguration in interface AWSGluepublic GetSecurityConfigurationsResult getSecurityConfigurations(GetSecurityConfigurationsRequest request)
AWSGlueRetrieves a list of all security configurations.
getSecurityConfigurations in interface AWSGluepublic GetTableResult getTable(GetTableRequest request)
AWSGlue
Retrieves the Table definition in a Data Catalog for a specified table.
getTable in interface AWSGluepublic GetTableVersionResult getTableVersion(GetTableVersionRequest request)
AWSGlueRetrieves a specified version of a table.
getTableVersion in interface AWSGluepublic GetTableVersionsResult getTableVersions(GetTableVersionsRequest request)
AWSGlueRetrieves a list of strings that identify available versions of a specified table.
getTableVersions in interface AWSGluepublic GetTablesResult getTables(GetTablesRequest request)
AWSGlue
Retrieves the definitions of some or all of the tables in a given Database.
getTables in interface AWSGluepublic GetTagsResult getTags(GetTagsRequest request)
AWSGlueRetrieves a list of tags associated with a resource.
getTags in interface AWSGluepublic GetTriggerResult getTrigger(GetTriggerRequest request)
AWSGlueRetrieves the definition of a trigger.
getTrigger in interface AWSGluepublic GetTriggersResult getTriggers(GetTriggersRequest request)
AWSGlueGets all the triggers associated with a job.
getTriggers in interface AWSGluepublic GetUserDefinedFunctionResult getUserDefinedFunction(GetUserDefinedFunctionRequest request)
AWSGlueRetrieves a specified function definition from the Data Catalog.
getUserDefinedFunction in interface AWSGluepublic GetUserDefinedFunctionsResult getUserDefinedFunctions(GetUserDefinedFunctionsRequest request)
AWSGlueRetrieves multiple function definitions from the Data Catalog.
getUserDefinedFunctions in interface AWSGluepublic GetWorkflowResult getWorkflow(GetWorkflowRequest request)
AWSGlueRetrieves resource metadata for a workflow.
getWorkflow in interface AWSGluepublic GetWorkflowRunResult getWorkflowRun(GetWorkflowRunRequest request)
AWSGlueRetrieves the metadata for a given workflow run.
getWorkflowRun in interface AWSGluepublic GetWorkflowRunPropertiesResult getWorkflowRunProperties(GetWorkflowRunPropertiesRequest request)
AWSGlueRetrieves the workflow run properties which were set during the run.
getWorkflowRunProperties in interface AWSGluepublic GetWorkflowRunsResult getWorkflowRuns(GetWorkflowRunsRequest request)
AWSGlueRetrieves metadata for all runs of a given workflow.
getWorkflowRuns in interface AWSGluepublic ImportCatalogToGlueResult importCatalogToGlue(ImportCatalogToGlueRequest request)
AWSGlueImports an existing Amazon Athena Data Catalog to AWS Glue
importCatalogToGlue in interface AWSGluepublic ListCrawlersResult listCrawlers(ListCrawlersRequest request)
AWSGlueRetrieves the names of all crawler resources in this AWS 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.
listCrawlers in interface AWSGluepublic ListDevEndpointsResult listDevEndpoints(ListDevEndpointsRequest request)
AWSGlue
Retrieves the names of all DevEndpoint resources in this AWS 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 in interface AWSGluepublic ListJobsResult listJobs(ListJobsRequest request)
AWSGlueRetrieves the names of all job resources in this AWS 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 in interface AWSGluepublic ListMLTransformsResult listMLTransforms(ListMLTransformsRequest request)
AWSGlue
Retrieves a sortable, filterable list of existing AWS Glue machine learning transforms in this AWS 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.
listMLTransforms in interface AWSGluepublic ListTriggersResult listTriggers(ListTriggersRequest request)
AWSGlueRetrieves the names of all trigger resources in this AWS 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.
listTriggers in interface AWSGluepublic ListWorkflowsResult listWorkflows(ListWorkflowsRequest request)
AWSGlueLists names of workflows created in the account.
listWorkflows in interface AWSGluepublic PutDataCatalogEncryptionSettingsResult putDataCatalogEncryptionSettings(PutDataCatalogEncryptionSettingsRequest request)
AWSGlueSets the security configuration for a specified catalog. After the configuration has been set, the specified encryption is applied to every catalog write thereafter.
putDataCatalogEncryptionSettings in interface AWSGluepublic PutResourcePolicyResult putResourcePolicy(PutResourcePolicyRequest request)
AWSGlueSets the Data Catalog resource policy for access control.
putResourcePolicy in interface AWSGluepublic PutWorkflowRunPropertiesResult putWorkflowRunProperties(PutWorkflowRunPropertiesRequest request)
AWSGluePuts 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.
putWorkflowRunProperties in interface AWSGluepublic ResetJobBookmarkResult resetJobBookmark(ResetJobBookmarkRequest request)
AWSGlueResets a bookmark entry.
resetJobBookmark in interface AWSGluepublic ResumeWorkflowRunResult resumeWorkflowRun(ResumeWorkflowRunRequest request)
AWSGlueRestarts 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.
resumeWorkflowRun in interface AWSGluepublic SearchTablesResult searchTables(SearchTablesRequest request)
AWSGlueSearches 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.
searchTables in interface AWSGluepublic StartCrawlerResult startCrawler(StartCrawlerRequest request)
AWSGlueStarts a crawl using the specified crawler, regardless of what is scheduled. If the crawler is already running, returns a CrawlerRunningException.
startCrawler in interface AWSGluepublic StartCrawlerScheduleResult startCrawlerSchedule(StartCrawlerScheduleRequest request)
AWSGlue
Changes the schedule state of the specified crawler to SCHEDULED, unless the crawler is already
running or the schedule state is already SCHEDULED.
startCrawlerSchedule in interface AWSGluepublic StartExportLabelsTaskRunResult startExportLabelsTaskRun(StartExportLabelsTaskRunRequest request)
AWSGlue
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.
startExportLabelsTaskRun in interface AWSGluepublic StartImportLabelsTaskRunResult startImportLabelsTaskRun(StartImportLabelsTaskRunRequest request)
AWSGlue
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, AWS 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.
startImportLabelsTaskRun in interface AWSGluepublic StartJobRunResult startJobRun(StartJobRunRequest request)
AWSGlueStarts a job run using a job definition.
startJobRun in interface AWSGluepublic StartMLEvaluationTaskRunResult startMLEvaluationTaskRun(StartMLEvaluationTaskRunRequest request)
AWSGlueStarts a task to estimate the quality of the transform.
When you provide label sets as examples of truth, AWS 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.
startMLEvaluationTaskRun in interface AWSGluepublic StartMLLabelingSetGenerationTaskRunResult startMLLabelingSetGenerationTaskRun(StartMLLabelingSetGenerationTaskRunRequest request)
AWSGlueStarts 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, AWS 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.
startMLLabelingSetGenerationTaskRun in interface AWSGluepublic StartTriggerResult startTrigger(StartTriggerRequest request)
AWSGlueStarts an existing trigger. See Triggering Jobs for information about how different types of trigger are started.
startTrigger in interface AWSGluepublic StartWorkflowRunResult startWorkflowRun(StartWorkflowRunRequest request)
AWSGlueStarts a new run of the specified workflow.
startWorkflowRun in interface AWSGluepublic StopCrawlerResult stopCrawler(StopCrawlerRequest request)
AWSGlueIf the specified crawler is running, stops the crawl.
stopCrawler in interface AWSGluepublic StopCrawlerScheduleResult stopCrawlerSchedule(StopCrawlerScheduleRequest request)
AWSGlue
Sets the schedule state of the specified crawler to NOT_SCHEDULED, but does not stop the crawler if
it is already running.
stopCrawlerSchedule in interface AWSGluepublic StopTriggerResult stopTrigger(StopTriggerRequest request)
AWSGlueStops a specified trigger.
stopTrigger in interface AWSGluepublic StopWorkflowRunResult stopWorkflowRun(StopWorkflowRunRequest request)
AWSGlueStops the execution of the specified workflow run.
stopWorkflowRun in interface AWSGluepublic TagResourceResult tagResource(TagResourceRequest request)
AWSGlueAdds tags to a resource. A tag is a label you can assign to an AWS resource. In AWS Glue, you can tag only certain resources. For information about what resources you can tag, see AWS Tags in AWS Glue.
tagResource in interface AWSGluepublic UntagResourceResult untagResource(UntagResourceRequest request)
AWSGlueRemoves tags from a resource.
untagResource in interface AWSGluepublic UpdateClassifierResult updateClassifier(UpdateClassifierRequest request)
AWSGlue
Modifies an existing classifier (a GrokClassifier, an XMLClassifier, a
JsonClassifier, or a CsvClassifier, depending on which field is present).
updateClassifier in interface AWSGluepublic UpdateColumnStatisticsForPartitionResult updateColumnStatisticsForPartition(UpdateColumnStatisticsForPartitionRequest request)
AWSGlueCreates or updates partition statistics of columns.
updateColumnStatisticsForPartition in interface AWSGluepublic UpdateColumnStatisticsForTableResult updateColumnStatisticsForTable(UpdateColumnStatisticsForTableRequest request)
AWSGlueCreates or updates table statistics of columns.
updateColumnStatisticsForTable in interface AWSGluepublic UpdateConnectionResult updateConnection(UpdateConnectionRequest request)
AWSGlueUpdates a connection definition in the Data Catalog.
updateConnection in interface AWSGluepublic UpdateCrawlerResult updateCrawler(UpdateCrawlerRequest request)
AWSGlue
Updates a crawler. If a crawler is running, you must stop it using StopCrawler before updating it.
updateCrawler in interface AWSGluepublic UpdateCrawlerScheduleResult updateCrawlerSchedule(UpdateCrawlerScheduleRequest request)
AWSGlue
Updates the schedule of a crawler using a cron expression.
updateCrawlerSchedule in interface AWSGluepublic UpdateDatabaseResult updateDatabase(UpdateDatabaseRequest request)
AWSGlueUpdates an existing database definition in a Data Catalog.
updateDatabase in interface AWSGluepublic UpdateDevEndpointResult updateDevEndpoint(UpdateDevEndpointRequest request)
AWSGlueUpdates a specified development endpoint.
updateDevEndpoint in interface AWSGluepublic UpdateJobResult updateJob(UpdateJobRequest request)
AWSGlueUpdates an existing job definition.
updateJob in interface AWSGluepublic UpdateMLTransformResult updateMLTransform(UpdateMLTransformRequest request)
AWSGlueUpdates 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).
updateMLTransform in interface AWSGluepublic UpdatePartitionResult updatePartition(UpdatePartitionRequest request)
AWSGlueUpdates a partition.
updatePartition in interface AWSGluepublic UpdateTableResult updateTable(UpdateTableRequest request)
AWSGlueUpdates a metadata table in the Data Catalog.
updateTable in interface AWSGluepublic UpdateTriggerResult updateTrigger(UpdateTriggerRequest request)
AWSGlueUpdates a trigger definition.
updateTrigger in interface AWSGluepublic UpdateUserDefinedFunctionResult updateUserDefinedFunction(UpdateUserDefinedFunctionRequest request)
AWSGlueUpdates an existing function definition in the Data Catalog.
updateUserDefinedFunction in interface AWSGluepublic UpdateWorkflowResult updateWorkflow(UpdateWorkflowRequest request)
AWSGlueUpdates an existing workflow.
updateWorkflow in interface AWSGluepublic void shutdown()
AWSGluepublic ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
AWSGlueResponse metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.
getCachedResponseMetadata in interface AWSGluerequest - The originally executed request.Copyright © 2020. All rights reserved.