@ThreadSafe @Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AWSCleanRoomsMLAsyncClient extends AWSCleanRoomsMLClient implements AWSCleanRoomsMLAsync
AsyncHandler can be used to receive
notification when an asynchronous operation completes.
Welcome to the Amazon Web Services Clean Rooms ML API Reference.
Amazon Web Services Clean Rooms ML provides a privacy-enhancing method for two parties to identify similar users in their data without the need to share their data with each other. The first party brings the training data to Clean Rooms so that they can create and configure an audience model (lookalike model) and associate it with a collaboration. The second party then brings their seed data to Clean Rooms and generates an audience (lookalike segment) that resembles the training data.
To learn more about Amazon Web Services Clean Rooms ML concepts, procedures, and best practices, see the Clean Rooms User Guide.
To learn more about SQL commands, functions, and conditions supported in Clean Rooms, see the Clean Rooms SQL Reference.
configFactoryclient, clientConfiguration, endpoint, isEndpointOverridden, LOGGING_AWS_REQUEST_METRIC, requestHandler2s, timeOffsetENDPOINT_PREFIXbuilder, createAudienceModel, createConfiguredAudienceModel, createTrainingDataset, deleteAudienceGenerationJob, deleteAudienceModel, deleteConfiguredAudienceModel, deleteConfiguredAudienceModelPolicy, deleteTrainingDataset, getAudienceGenerationJob, getAudienceModel, getCachedResponseMetadata, getConfiguredAudienceModel, getConfiguredAudienceModelPolicy, getTrainingDataset, listAudienceExportJobs, listAudienceGenerationJobs, listAudienceModels, listConfiguredAudienceModels, listTagsForResource, listTrainingDatasets, putConfiguredAudienceModelPolicy, startAudienceExportJob, startAudienceGenerationJob, tagResource, untagResource, updateConfiguredAudienceModeladdRequestHandler, addRequestHandler, beforeClientExecution, beforeMarshalling, calculateCRC32FromCompressedData, checkMutability, configureRegion, createExecutionContext, createExecutionContext, createExecutionContext, createSignerProvider, endClientExecution, endClientExecution, getClientConfiguration, getClientId, getEndpointPrefix, getMonitoringListeners, getRequestMetricsCollector, getServiceAbbreviation, getServiceName, getServiceNameIntern, getSigner, getSignerByURI, getSignerOverride, getSignerProvider, getSignerRegionOverride, getSigningRegion, getTimeOffset, isCsmEnabled, isEndpointOverridden, isProfilingEnabled, isRequestMetricsEnabled, makeImmutable, removeRequestHandler, removeRequestHandler, requestMetricCollector, setEndpoint, setEndpoint, setEndpointPrefix, setRegion, setServiceNameIntern, setSignerRegionOverride, setTimeOffset, shouldGenerateClientSideMonitoringEvents, useStrictHostNameVerification, withEndpoint, withRegion, withRegion, withTimeOffsetclone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitcreateAudienceModel, createConfiguredAudienceModel, createTrainingDataset, deleteAudienceGenerationJob, deleteAudienceModel, deleteConfiguredAudienceModel, deleteConfiguredAudienceModelPolicy, deleteTrainingDataset, getAudienceGenerationJob, getAudienceModel, getCachedResponseMetadata, getConfiguredAudienceModel, getConfiguredAudienceModelPolicy, getTrainingDataset, listAudienceExportJobs, listAudienceGenerationJobs, listAudienceModels, listConfiguredAudienceModels, listTagsForResource, listTrainingDatasets, putConfiguredAudienceModelPolicy, startAudienceExportJob, startAudienceGenerationJob, tagResource, untagResource, updateConfiguredAudienceModelpublic static AWSCleanRoomsMLAsyncClientBuilder asyncBuilder()
public ExecutorService getExecutorService()
public Future<CreateAudienceModelResult> createAudienceModelAsync(CreateAudienceModelRequest request)
AWSCleanRoomsMLAsyncDefines the information necessary to create an audience model. An audience model is a machine learning model that Clean Rooms ML trains to measure similarity between users. Clean Rooms ML manages training and storing the audience model. The audience model can be used in multiple calls to the StartAudienceGenerationJob API.
createAudienceModelAsync in interface AWSCleanRoomsMLAsyncpublic Future<CreateAudienceModelResult> createAudienceModelAsync(CreateAudienceModelRequest request, AsyncHandler<CreateAudienceModelRequest,CreateAudienceModelResult> asyncHandler)
AWSCleanRoomsMLAsyncDefines the information necessary to create an audience model. An audience model is a machine learning model that Clean Rooms ML trains to measure similarity between users. Clean Rooms ML manages training and storing the audience model. The audience model can be used in multiple calls to the StartAudienceGenerationJob API.
createAudienceModelAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateConfiguredAudienceModelResult> createConfiguredAudienceModelAsync(CreateConfiguredAudienceModelRequest request)
AWSCleanRoomsMLAsyncDefines the information necessary to create a configured audience model.
createConfiguredAudienceModelAsync in interface AWSCleanRoomsMLAsyncpublic Future<CreateConfiguredAudienceModelResult> createConfiguredAudienceModelAsync(CreateConfiguredAudienceModelRequest request, AsyncHandler<CreateConfiguredAudienceModelRequest,CreateConfiguredAudienceModelResult> asyncHandler)
AWSCleanRoomsMLAsyncDefines the information necessary to create a configured audience model.
createConfiguredAudienceModelAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<CreateTrainingDatasetResult> createTrainingDatasetAsync(CreateTrainingDatasetRequest request)
AWSCleanRoomsMLAsync
Defines the information necessary to create a training dataset. In Clean Rooms ML, the
TrainingDataset is metadata that points to a Glue table, which is read only during
AudienceModel creation.
createTrainingDatasetAsync in interface AWSCleanRoomsMLAsyncpublic Future<CreateTrainingDatasetResult> createTrainingDatasetAsync(CreateTrainingDatasetRequest request, AsyncHandler<CreateTrainingDatasetRequest,CreateTrainingDatasetResult> asyncHandler)
AWSCleanRoomsMLAsync
Defines the information necessary to create a training dataset. In Clean Rooms ML, the
TrainingDataset is metadata that points to a Glue table, which is read only during
AudienceModel creation.
createTrainingDatasetAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAudienceGenerationJobResult> deleteAudienceGenerationJobAsync(DeleteAudienceGenerationJobRequest request)
AWSCleanRoomsMLAsyncDeletes the specified audience generation job, and removes all data associated with the job.
deleteAudienceGenerationJobAsync in interface AWSCleanRoomsMLAsyncpublic Future<DeleteAudienceGenerationJobResult> deleteAudienceGenerationJobAsync(DeleteAudienceGenerationJobRequest request, AsyncHandler<DeleteAudienceGenerationJobRequest,DeleteAudienceGenerationJobResult> asyncHandler)
AWSCleanRoomsMLAsyncDeletes the specified audience generation job, and removes all data associated with the job.
deleteAudienceGenerationJobAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteAudienceModelResult> deleteAudienceModelAsync(DeleteAudienceModelRequest request)
AWSCleanRoomsMLAsyncSpecifies an audience model that you want to delete. You can't delete an audience model if there are any configured audience models that depend on the audience model.
deleteAudienceModelAsync in interface AWSCleanRoomsMLAsyncpublic Future<DeleteAudienceModelResult> deleteAudienceModelAsync(DeleteAudienceModelRequest request, AsyncHandler<DeleteAudienceModelRequest,DeleteAudienceModelResult> asyncHandler)
AWSCleanRoomsMLAsyncSpecifies an audience model that you want to delete. You can't delete an audience model if there are any configured audience models that depend on the audience model.
deleteAudienceModelAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteConfiguredAudienceModelResult> deleteConfiguredAudienceModelAsync(DeleteConfiguredAudienceModelRequest request)
AWSCleanRoomsMLAsyncDeletes the specified configured audience model. You can't delete a configured audience model if there are any lookalike models that use the configured audience model. If you delete a configured audience model, it will be removed from any collaborations that it is associated to.
deleteConfiguredAudienceModelAsync in interface AWSCleanRoomsMLAsyncpublic Future<DeleteConfiguredAudienceModelResult> deleteConfiguredAudienceModelAsync(DeleteConfiguredAudienceModelRequest request, AsyncHandler<DeleteConfiguredAudienceModelRequest,DeleteConfiguredAudienceModelResult> asyncHandler)
AWSCleanRoomsMLAsyncDeletes the specified configured audience model. You can't delete a configured audience model if there are any lookalike models that use the configured audience model. If you delete a configured audience model, it will be removed from any collaborations that it is associated to.
deleteConfiguredAudienceModelAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteConfiguredAudienceModelPolicyResult> deleteConfiguredAudienceModelPolicyAsync(DeleteConfiguredAudienceModelPolicyRequest request)
AWSCleanRoomsMLAsyncDeletes the specified configured audience model policy.
deleteConfiguredAudienceModelPolicyAsync in interface AWSCleanRoomsMLAsyncpublic Future<DeleteConfiguredAudienceModelPolicyResult> deleteConfiguredAudienceModelPolicyAsync(DeleteConfiguredAudienceModelPolicyRequest request, AsyncHandler<DeleteConfiguredAudienceModelPolicyRequest,DeleteConfiguredAudienceModelPolicyResult> asyncHandler)
AWSCleanRoomsMLAsyncDeletes the specified configured audience model policy.
deleteConfiguredAudienceModelPolicyAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<DeleteTrainingDatasetResult> deleteTrainingDatasetAsync(DeleteTrainingDatasetRequest request)
AWSCleanRoomsMLAsync
Specifies a training dataset that you want to delete. You can't delete a training dataset if there are any
audience models that depend on the training dataset. In Clean Rooms ML, the TrainingDataset is
metadata that points to a Glue table, which is read only during AudienceModel creation. This action
deletes the metadata.
deleteTrainingDatasetAsync in interface AWSCleanRoomsMLAsyncpublic Future<DeleteTrainingDatasetResult> deleteTrainingDatasetAsync(DeleteTrainingDatasetRequest request, AsyncHandler<DeleteTrainingDatasetRequest,DeleteTrainingDatasetResult> asyncHandler)
AWSCleanRoomsMLAsync
Specifies a training dataset that you want to delete. You can't delete a training dataset if there are any
audience models that depend on the training dataset. In Clean Rooms ML, the TrainingDataset is
metadata that points to a Glue table, which is read only during AudienceModel creation. This action
deletes the metadata.
deleteTrainingDatasetAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetAudienceGenerationJobResult> getAudienceGenerationJobAsync(GetAudienceGenerationJobRequest request)
AWSCleanRoomsMLAsyncReturns information about an audience generation job.
getAudienceGenerationJobAsync in interface AWSCleanRoomsMLAsyncpublic Future<GetAudienceGenerationJobResult> getAudienceGenerationJobAsync(GetAudienceGenerationJobRequest request, AsyncHandler<GetAudienceGenerationJobRequest,GetAudienceGenerationJobResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns information about an audience generation job.
getAudienceGenerationJobAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetAudienceModelResult> getAudienceModelAsync(GetAudienceModelRequest request)
AWSCleanRoomsMLAsyncReturns information about an audience model
getAudienceModelAsync in interface AWSCleanRoomsMLAsyncpublic Future<GetAudienceModelResult> getAudienceModelAsync(GetAudienceModelRequest request, AsyncHandler<GetAudienceModelRequest,GetAudienceModelResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns information about an audience model
getAudienceModelAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetConfiguredAudienceModelResult> getConfiguredAudienceModelAsync(GetConfiguredAudienceModelRequest request)
AWSCleanRoomsMLAsyncReturns information about a specified configured audience model.
getConfiguredAudienceModelAsync in interface AWSCleanRoomsMLAsyncpublic Future<GetConfiguredAudienceModelResult> getConfiguredAudienceModelAsync(GetConfiguredAudienceModelRequest request, AsyncHandler<GetConfiguredAudienceModelRequest,GetConfiguredAudienceModelResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns information about a specified configured audience model.
getConfiguredAudienceModelAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetConfiguredAudienceModelPolicyResult> getConfiguredAudienceModelPolicyAsync(GetConfiguredAudienceModelPolicyRequest request)
AWSCleanRoomsMLAsyncReturns information about a configured audience model policy.
getConfiguredAudienceModelPolicyAsync in interface AWSCleanRoomsMLAsyncpublic Future<GetConfiguredAudienceModelPolicyResult> getConfiguredAudienceModelPolicyAsync(GetConfiguredAudienceModelPolicyRequest request, AsyncHandler<GetConfiguredAudienceModelPolicyRequest,GetConfiguredAudienceModelPolicyResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns information about a configured audience model policy.
getConfiguredAudienceModelPolicyAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetTrainingDatasetResult> getTrainingDatasetAsync(GetTrainingDatasetRequest request)
AWSCleanRoomsMLAsyncReturns information about a training dataset.
getTrainingDatasetAsync in interface AWSCleanRoomsMLAsyncpublic Future<GetTrainingDatasetResult> getTrainingDatasetAsync(GetTrainingDatasetRequest request, AsyncHandler<GetTrainingDatasetRequest,GetTrainingDatasetResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns information about a training dataset.
getTrainingDatasetAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAudienceExportJobsResult> listAudienceExportJobsAsync(ListAudienceExportJobsRequest request)
AWSCleanRoomsMLAsyncReturns a list of the audience export jobs.
listAudienceExportJobsAsync in interface AWSCleanRoomsMLAsyncpublic Future<ListAudienceExportJobsResult> listAudienceExportJobsAsync(ListAudienceExportJobsRequest request, AsyncHandler<ListAudienceExportJobsRequest,ListAudienceExportJobsResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns a list of the audience export jobs.
listAudienceExportJobsAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAudienceGenerationJobsResult> listAudienceGenerationJobsAsync(ListAudienceGenerationJobsRequest request)
AWSCleanRoomsMLAsyncReturns a list of audience generation jobs.
listAudienceGenerationJobsAsync in interface AWSCleanRoomsMLAsyncpublic Future<ListAudienceGenerationJobsResult> listAudienceGenerationJobsAsync(ListAudienceGenerationJobsRequest request, AsyncHandler<ListAudienceGenerationJobsRequest,ListAudienceGenerationJobsResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns a list of audience generation jobs.
listAudienceGenerationJobsAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListAudienceModelsResult> listAudienceModelsAsync(ListAudienceModelsRequest request)
AWSCleanRoomsMLAsyncReturns a list of audience models.
listAudienceModelsAsync in interface AWSCleanRoomsMLAsyncpublic Future<ListAudienceModelsResult> listAudienceModelsAsync(ListAudienceModelsRequest request, AsyncHandler<ListAudienceModelsRequest,ListAudienceModelsResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns a list of audience models.
listAudienceModelsAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListConfiguredAudienceModelsResult> listConfiguredAudienceModelsAsync(ListConfiguredAudienceModelsRequest request)
AWSCleanRoomsMLAsyncReturns a list of the configured audience models.
listConfiguredAudienceModelsAsync in interface AWSCleanRoomsMLAsyncpublic Future<ListConfiguredAudienceModelsResult> listConfiguredAudienceModelsAsync(ListConfiguredAudienceModelsRequest request, AsyncHandler<ListConfiguredAudienceModelsRequest,ListConfiguredAudienceModelsResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns a list of the configured audience models.
listConfiguredAudienceModelsAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request)
AWSCleanRoomsMLAsyncReturns a list of tags for a provided resource.
listTagsForResourceAsync in interface AWSCleanRoomsMLAsyncpublic Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest request, AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns a list of tags for a provided resource.
listTagsForResourceAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<ListTrainingDatasetsResult> listTrainingDatasetsAsync(ListTrainingDatasetsRequest request)
AWSCleanRoomsMLAsyncReturns a list of training datasets.
listTrainingDatasetsAsync in interface AWSCleanRoomsMLAsyncpublic Future<ListTrainingDatasetsResult> listTrainingDatasetsAsync(ListTrainingDatasetsRequest request, AsyncHandler<ListTrainingDatasetsRequest,ListTrainingDatasetsResult> asyncHandler)
AWSCleanRoomsMLAsyncReturns a list of training datasets.
listTrainingDatasetsAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<PutConfiguredAudienceModelPolicyResult> putConfiguredAudienceModelPolicyAsync(PutConfiguredAudienceModelPolicyRequest request)
AWSCleanRoomsMLAsyncCreate or update the resource policy for a configured audience model.
putConfiguredAudienceModelPolicyAsync in interface AWSCleanRoomsMLAsyncpublic Future<PutConfiguredAudienceModelPolicyResult> putConfiguredAudienceModelPolicyAsync(PutConfiguredAudienceModelPolicyRequest request, AsyncHandler<PutConfiguredAudienceModelPolicyRequest,PutConfiguredAudienceModelPolicyResult> asyncHandler)
AWSCleanRoomsMLAsyncCreate or update the resource policy for a configured audience model.
putConfiguredAudienceModelPolicyAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartAudienceExportJobResult> startAudienceExportJobAsync(StartAudienceExportJobRequest request)
AWSCleanRoomsMLAsyncExport an audience of a specified size after you have generated an audience.
startAudienceExportJobAsync in interface AWSCleanRoomsMLAsyncpublic Future<StartAudienceExportJobResult> startAudienceExportJobAsync(StartAudienceExportJobRequest request, AsyncHandler<StartAudienceExportJobRequest,StartAudienceExportJobResult> asyncHandler)
AWSCleanRoomsMLAsyncExport an audience of a specified size after you have generated an audience.
startAudienceExportJobAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<StartAudienceGenerationJobResult> startAudienceGenerationJobAsync(StartAudienceGenerationJobRequest request)
AWSCleanRoomsMLAsyncInformation necessary to start the audience generation job.
startAudienceGenerationJobAsync in interface AWSCleanRoomsMLAsyncpublic Future<StartAudienceGenerationJobResult> startAudienceGenerationJobAsync(StartAudienceGenerationJobRequest request, AsyncHandler<StartAudienceGenerationJobRequest,StartAudienceGenerationJobResult> asyncHandler)
AWSCleanRoomsMLAsyncInformation necessary to start the audience generation job.
startAudienceGenerationJobAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<TagResourceResult> tagResourceAsync(TagResourceRequest request)
AWSCleanRoomsMLAsyncAdds metadata tags to a specified resource.
tagResourceAsync in interface AWSCleanRoomsMLAsyncpublic Future<TagResourceResult> tagResourceAsync(TagResourceRequest request, AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)
AWSCleanRoomsMLAsyncAdds metadata tags to a specified resource.
tagResourceAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request)
AWSCleanRoomsMLAsyncRemoves metadata tags from a specified resource.
untagResourceAsync in interface AWSCleanRoomsMLAsyncpublic Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest request, AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)
AWSCleanRoomsMLAsyncRemoves metadata tags from a specified resource.
untagResourceAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<UpdateConfiguredAudienceModelResult> updateConfiguredAudienceModelAsync(UpdateConfiguredAudienceModelRequest request)
AWSCleanRoomsMLAsyncProvides the information necessary to update a configured audience model. Updates that impact audience generation jobs take effect when a new job starts, but do not impact currently running jobs.
updateConfiguredAudienceModelAsync in interface AWSCleanRoomsMLAsyncpublic Future<UpdateConfiguredAudienceModelResult> updateConfiguredAudienceModelAsync(UpdateConfiguredAudienceModelRequest request, AsyncHandler<UpdateConfiguredAudienceModelRequest,UpdateConfiguredAudienceModelResult> asyncHandler)
AWSCleanRoomsMLAsyncProvides the information necessary to update a configured audience model. Updates that impact audience generation jobs take effect when a new job starts, but do not impact currently running jobs.
updateConfiguredAudienceModelAsync in interface AWSCleanRoomsMLAsyncasyncHandler - Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public void shutdown()
getExecutorService().shutdown() followed by getExecutorService().awaitTermination() prior to
calling this method.shutdown in interface AWSCleanRoomsMLshutdown in class AWSCleanRoomsMLClientCopyright © 2025. All rights reserved.