@ThreadSafe @Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AmazonElasticMapReduceAsyncClient extends AmazonElasticMapReduceClient implements AmazonElasticMapReduceAsync
AsyncHandler can be used to receive
notification when an asynchronous operation completes.
Amazon EMR is a web service that makes it easier to process large amounts of data efficiently. Amazon EMR uses Hadoop processing combined with several Amazon Web Services services to do tasks such as web indexing, data mining, log file analysis, machine learning, scientific simulation, and data warehouse management.
configFactoryclient, clientConfiguration, endpoint, isEndpointOverridden, LOGGING_AWS_REQUEST_METRIC, requestHandler2s, timeOffsetENDPOINT_PREFIX| Constructor and Description |
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AmazonElasticMapReduceAsyncClient()
Deprecated.
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AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials)
Deprecated.
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AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials,
ClientConfiguration clientConfiguration,
ExecutorService executorService)
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AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials,
ExecutorService executorService)
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AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider)
Deprecated.
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AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration)
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AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ClientConfiguration clientConfiguration,
ExecutorService executorService)
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AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider,
ExecutorService executorService)
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AmazonElasticMapReduceAsyncClient(ClientConfiguration clientConfiguration)
Deprecated.
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addInstanceFleet, addInstanceGroups, addJobFlowSteps, addTags, builder, cancelSteps, createSecurityConfiguration, createStudio, createStudioSessionMapping, deleteSecurityConfiguration, deleteStudio, deleteStudioSessionMapping, describeCluster, describeJobFlows, describeJobFlows, describeNotebookExecution, describeReleaseLabel, describeSecurityConfiguration, describeStep, describeStudio, getAutoTerminationPolicy, getBlockPublicAccessConfiguration, getCachedResponseMetadata, getClusterSessionCredentials, getManagedScalingPolicy, getStudioSessionMapping, listBootstrapActions, listClusters, listClusters, listInstanceFleets, listInstanceGroups, listInstances, listNotebookExecutions, listReleaseLabels, listSecurityConfigurations, listSteps, listStudios, listStudioSessionMappings, listSupportedInstanceTypes, modifyCluster, modifyInstanceFleet, modifyInstanceGroups, modifyInstanceGroups, putAutoScalingPolicy, putAutoTerminationPolicy, putBlockPublicAccessConfiguration, putManagedScalingPolicy, removeAutoScalingPolicy, removeAutoTerminationPolicy, removeManagedScalingPolicy, removeTags, runJobFlow, setTerminationProtection, setVisibleToAllUsers, startNotebookExecution, stopNotebookExecution, terminateJobFlows, updateStudio, updateStudioSessionMapping, waitersaddRequestHandler, 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, waitaddInstanceFleet, addInstanceGroups, addJobFlowSteps, addTags, cancelSteps, createSecurityConfiguration, createStudio, createStudioSessionMapping, deleteSecurityConfiguration, deleteStudio, deleteStudioSessionMapping, describeCluster, describeJobFlows, describeJobFlows, describeNotebookExecution, describeReleaseLabel, describeSecurityConfiguration, describeStep, describeStudio, getAutoTerminationPolicy, getBlockPublicAccessConfiguration, getCachedResponseMetadata, getClusterSessionCredentials, getManagedScalingPolicy, getStudioSessionMapping, listBootstrapActions, listClusters, listClusters, listInstanceFleets, listInstanceGroups, listInstances, listNotebookExecutions, listReleaseLabels, listSecurityConfigurations, listSteps, listStudios, listStudioSessionMappings, listSupportedInstanceTypes, modifyCluster, modifyInstanceFleet, modifyInstanceGroups, modifyInstanceGroups, putAutoScalingPolicy, putAutoTerminationPolicy, putBlockPublicAccessConfiguration, putManagedScalingPolicy, removeAutoScalingPolicy, removeAutoTerminationPolicy, removeManagedScalingPolicy, removeTags, runJobFlow, setEndpoint, setRegion, setTerminationProtection, setVisibleToAllUsers, startNotebookExecution, stopNotebookExecution, terminateJobFlows, updateStudio, updateStudioSessionMapping, waiters@Deprecated public AmazonElasticMapReduceAsyncClient()
AmazonElasticMapReduceAsyncClientBuilder.defaultClient()Asynchronous methods are delegated to a fixed-size thread pool containing 50 threads (to match the default maximum number of concurrent connections to the service).
@Deprecated public AmazonElasticMapReduceAsyncClient(ClientConfiguration clientConfiguration)
AwsClientBuilder.withClientConfiguration(ClientConfiguration)
Asynchronous methods are delegated to a fixed-size thread pool containing a number of threads equal to the
maximum number of concurrent connections configured via ClientConfiguration.getMaxConnections().
clientConfiguration - The client configuration options controlling how this client connects to Amazon EMR (ex: proxy settings,
retry counts, etc).DefaultAWSCredentialsProviderChain,
Executors.newFixedThreadPool(int)@Deprecated public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials)
AwsClientBuilder.withCredentials(AWSCredentialsProvider)Asynchronous methods are delegated to a fixed-size thread pool containing 50 threads (to match the default maximum number of concurrent connections to the service).
awsCredentials - The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.Executors.newFixedThreadPool(int)@Deprecated public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials, ExecutorService executorService)
AwsClientBuilder.withCredentials(AWSCredentialsProvider) and
AwsAsyncClientBuilder.withExecutorFactory(com.amazonaws.client.builder.ExecutorFactory)awsCredentials - The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.executorService - The executor service by which all asynchronous requests will be executed.@Deprecated public AmazonElasticMapReduceAsyncClient(AWSCredentials awsCredentials, ClientConfiguration clientConfiguration, ExecutorService executorService)
AwsClientBuilder.withCredentials(AWSCredentialsProvider) and
AwsClientBuilder.withClientConfiguration(ClientConfiguration) and
AwsAsyncClientBuilder.withExecutorFactory(com.amazonaws.client.builder.ExecutorFactory)awsCredentials - The AWS credentials (access key ID and secret key) to use when authenticating with AWS services.clientConfiguration - Client configuration options (ex: max retry limit, proxy settings, etc).executorService - The executor service by which all asynchronous requests will be executed.@Deprecated public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider)
AwsClientBuilder.withCredentials(AWSCredentialsProvider)Asynchronous methods are delegated to a fixed-size thread pool containing 50 threads (to match the default maximum number of concurrent connections to the service).
awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.Executors.newFixedThreadPool(int)@Deprecated public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration)
AwsClientBuilder.withCredentials(AWSCredentialsProvider) and
AwsClientBuilder.withClientConfiguration(ClientConfiguration)
Asynchronous methods are delegated to a fixed-size thread pool containing a number of threads equal to the
maximum number of concurrent connections configured via ClientConfiguration.getMaxConnections().
awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.clientConfiguration - Client configuration options (ex: max retry limit, proxy settings, etc).DefaultAWSCredentialsProviderChain,
Executors.newFixedThreadPool(int)@Deprecated public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ExecutorService executorService)
AwsClientBuilder.withCredentials(AWSCredentialsProvider) and
AwsAsyncClientBuilder.withExecutorFactory(com.amazonaws.client.builder.ExecutorFactory)awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.executorService - The executor service by which all asynchronous requests will be executed.@Deprecated public AmazonElasticMapReduceAsyncClient(AWSCredentialsProvider awsCredentialsProvider, ClientConfiguration clientConfiguration, ExecutorService executorService)
AwsClientBuilder.withCredentials(AWSCredentialsProvider) and
AwsClientBuilder.withClientConfiguration(ClientConfiguration) and
AwsAsyncClientBuilder.withExecutorFactory(com.amazonaws.client.builder.ExecutorFactory)awsCredentialsProvider - The AWS credentials provider which will provide credentials to authenticate requests with AWS services.clientConfiguration - Client configuration options (ex: max retry limit, proxy settings, etc).executorService - The executor service by which all asynchronous requests will be executed.public static AmazonElasticMapReduceAsyncClientBuilder asyncBuilder()
public ExecutorService getExecutorService()
public Future<AddInstanceFleetResult> addInstanceFleetAsync(AddInstanceFleetRequest request)
AmazonElasticMapReduceAsyncAdds an instance fleet to a running cluster.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x.
addInstanceFleetAsync in interface AmazonElasticMapReduceAsyncpublic Future<AddInstanceFleetResult> addInstanceFleetAsync(AddInstanceFleetRequest request, AsyncHandler<AddInstanceFleetRequest,AddInstanceFleetResult> asyncHandler)
AmazonElasticMapReduceAsyncAdds an instance fleet to a running cluster.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x.
addInstanceFleetAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<AddInstanceGroupsResult> addInstanceGroupsAsync(AddInstanceGroupsRequest request)
AmazonElasticMapReduceAsyncAdds one or more instance groups to a running cluster.
addInstanceGroupsAsync in interface AmazonElasticMapReduceAsyncrequest - Input to an AddInstanceGroups call.public Future<AddInstanceGroupsResult> addInstanceGroupsAsync(AddInstanceGroupsRequest request, AsyncHandler<AddInstanceGroupsRequest,AddInstanceGroupsResult> asyncHandler)
AmazonElasticMapReduceAsyncAdds one or more instance groups to a running cluster.
addInstanceGroupsAsync in interface AmazonElasticMapReduceAsyncrequest - Input to an AddInstanceGroups call.asyncHandler - 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<AddJobFlowStepsResult> addJobFlowStepsAsync(AddJobFlowStepsRequest request)
AmazonElasticMapReduceAsyncAddJobFlowSteps adds new steps to a running cluster. A maximum of 256 steps are allowed in each job flow.
If your cluster is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps to process your data. You can bypass the 256-step limitation in various ways, including using SSH to connect to the master node and submitting queries directly to the software running on the master node, such as Hive and Hadoop.
A step specifies the location of a JAR file stored either on the master node of the cluster or in Amazon S3. Each step is performed by the main function of the main class of the JAR file. The main class can be specified either in the manifest of the JAR or by using the MainFunction parameter of the step.
Amazon EMR executes each step in the order listed. For a step to be considered complete, the main function must exit with a zero exit code and all Hadoop jobs started while the step was running must have completed and run successfully.
You can only add steps to a cluster that is in one of the following states: STARTING, BOOTSTRAPPING, RUNNING, or WAITING.
The string values passed into HadoopJarStep object cannot exceed a total of 10240 characters.
addJobFlowStepsAsync in interface AmazonElasticMapReduceAsyncrequest - The input argument to the AddJobFlowSteps operation.public Future<AddJobFlowStepsResult> addJobFlowStepsAsync(AddJobFlowStepsRequest request, AsyncHandler<AddJobFlowStepsRequest,AddJobFlowStepsResult> asyncHandler)
AmazonElasticMapReduceAsyncAddJobFlowSteps adds new steps to a running cluster. A maximum of 256 steps are allowed in each job flow.
If your cluster is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps to process your data. You can bypass the 256-step limitation in various ways, including using SSH to connect to the master node and submitting queries directly to the software running on the master node, such as Hive and Hadoop.
A step specifies the location of a JAR file stored either on the master node of the cluster or in Amazon S3. Each step is performed by the main function of the main class of the JAR file. The main class can be specified either in the manifest of the JAR or by using the MainFunction parameter of the step.
Amazon EMR executes each step in the order listed. For a step to be considered complete, the main function must exit with a zero exit code and all Hadoop jobs started while the step was running must have completed and run successfully.
You can only add steps to a cluster that is in one of the following states: STARTING, BOOTSTRAPPING, RUNNING, or WAITING.
The string values passed into HadoopJarStep object cannot exceed a total of 10240 characters.
addJobFlowStepsAsync in interface AmazonElasticMapReduceAsyncrequest - The input argument to the AddJobFlowSteps operation.asyncHandler - 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<AddTagsResult> addTagsAsync(AddTagsRequest request)
AmazonElasticMapReduceAsyncAdds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio. Tags make it easier to associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
addTagsAsync in interface AmazonElasticMapReduceAsyncrequest - This input identifies an Amazon EMR resource and a list of tags to attach.public Future<AddTagsResult> addTagsAsync(AddTagsRequest request, AsyncHandler<AddTagsRequest,AddTagsResult> asyncHandler)
AmazonElasticMapReduceAsyncAdds tags to an Amazon EMR resource, such as a cluster or an Amazon EMR Studio. Tags make it easier to associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
addTagsAsync in interface AmazonElasticMapReduceAsyncrequest - This input identifies an Amazon EMR resource and a list of tags to attach.asyncHandler - 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<CancelStepsResult> cancelStepsAsync(CancelStepsRequest request)
AmazonElasticMapReduceAsync
Cancels a pending step or steps in a running cluster. Available only in Amazon EMR versions 4.8.0 and later,
excluding version 5.0.0. A maximum of 256 steps are allowed in each CancelSteps request. CancelSteps is
idempotent but asynchronous; it does not guarantee that a step will be canceled, even if the request is
successfully submitted. When you use Amazon EMR releases 5.28.0 and later, you can cancel steps that are in a
PENDING or RUNNING state. In earlier versions of Amazon EMR, you can only cancel steps
that are in a PENDING state.
cancelStepsAsync in interface AmazonElasticMapReduceAsyncrequest - The input argument to the CancelSteps operation.public Future<CancelStepsResult> cancelStepsAsync(CancelStepsRequest request, AsyncHandler<CancelStepsRequest,CancelStepsResult> asyncHandler)
AmazonElasticMapReduceAsync
Cancels a pending step or steps in a running cluster. Available only in Amazon EMR versions 4.8.0 and later,
excluding version 5.0.0. A maximum of 256 steps are allowed in each CancelSteps request. CancelSteps is
idempotent but asynchronous; it does not guarantee that a step will be canceled, even if the request is
successfully submitted. When you use Amazon EMR releases 5.28.0 and later, you can cancel steps that are in a
PENDING or RUNNING state. In earlier versions of Amazon EMR, you can only cancel steps
that are in a PENDING state.
cancelStepsAsync in interface AmazonElasticMapReduceAsyncrequest - The input argument to the CancelSteps operation.asyncHandler - 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<CreateSecurityConfigurationResult> createSecurityConfigurationAsync(CreateSecurityConfigurationRequest request)
AmazonElasticMapReduceAsyncCreates a security configuration, which is stored in the service and can be specified when a cluster is created.
createSecurityConfigurationAsync in interface AmazonElasticMapReduceAsyncpublic Future<CreateSecurityConfigurationResult> createSecurityConfigurationAsync(CreateSecurityConfigurationRequest request, AsyncHandler<CreateSecurityConfigurationRequest,CreateSecurityConfigurationResult> asyncHandler)
AmazonElasticMapReduceAsyncCreates a security configuration, which is stored in the service and can be specified when a cluster is created.
createSecurityConfigurationAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<CreateStudioResult> createStudioAsync(CreateStudioRequest request)
AmazonElasticMapReduceAsyncCreates a new Amazon EMR Studio.
createStudioAsync in interface AmazonElasticMapReduceAsyncpublic Future<CreateStudioResult> createStudioAsync(CreateStudioRequest request, AsyncHandler<CreateStudioRequest,CreateStudioResult> asyncHandler)
AmazonElasticMapReduceAsyncCreates a new Amazon EMR Studio.
createStudioAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<CreateStudioSessionMappingResult> createStudioSessionMappingAsync(CreateStudioSessionMappingRequest request)
AmazonElasticMapReduceAsync
Maps a user or group to the Amazon EMR Studio specified by StudioId, and applies a session policy to
refine Studio permissions for that user or group. Use CreateStudioSessionMapping to assign users to
a Studio when you use IAM Identity Center authentication. For instructions on how to assign users to a Studio
when you use IAM authentication, see Assign a user or group to your EMR Studio.
createStudioSessionMappingAsync in interface AmazonElasticMapReduceAsyncpublic Future<CreateStudioSessionMappingResult> createStudioSessionMappingAsync(CreateStudioSessionMappingRequest request, AsyncHandler<CreateStudioSessionMappingRequest,CreateStudioSessionMappingResult> asyncHandler)
AmazonElasticMapReduceAsync
Maps a user or group to the Amazon EMR Studio specified by StudioId, and applies a session policy to
refine Studio permissions for that user or group. Use CreateStudioSessionMapping to assign users to
a Studio when you use IAM Identity Center authentication. For instructions on how to assign users to a Studio
when you use IAM authentication, see Assign a user or group to your EMR Studio.
createStudioSessionMappingAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<DeleteSecurityConfigurationResult> deleteSecurityConfigurationAsync(DeleteSecurityConfigurationRequest request)
AmazonElasticMapReduceAsyncDeletes a security configuration.
deleteSecurityConfigurationAsync in interface AmazonElasticMapReduceAsyncpublic Future<DeleteSecurityConfigurationResult> deleteSecurityConfigurationAsync(DeleteSecurityConfigurationRequest request, AsyncHandler<DeleteSecurityConfigurationRequest,DeleteSecurityConfigurationResult> asyncHandler)
AmazonElasticMapReduceAsyncDeletes a security configuration.
deleteSecurityConfigurationAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<DeleteStudioResult> deleteStudioAsync(DeleteStudioRequest request)
AmazonElasticMapReduceAsyncRemoves an Amazon EMR Studio from the Studio metadata store.
deleteStudioAsync in interface AmazonElasticMapReduceAsyncpublic Future<DeleteStudioResult> deleteStudioAsync(DeleteStudioRequest request, AsyncHandler<DeleteStudioRequest,DeleteStudioResult> asyncHandler)
AmazonElasticMapReduceAsyncRemoves an Amazon EMR Studio from the Studio metadata store.
deleteStudioAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<DeleteStudioSessionMappingResult> deleteStudioSessionMappingAsync(DeleteStudioSessionMappingRequest request)
AmazonElasticMapReduceAsyncRemoves a user or group from an Amazon EMR Studio.
deleteStudioSessionMappingAsync in interface AmazonElasticMapReduceAsyncpublic Future<DeleteStudioSessionMappingResult> deleteStudioSessionMappingAsync(DeleteStudioSessionMappingRequest request, AsyncHandler<DeleteStudioSessionMappingRequest,DeleteStudioSessionMappingResult> asyncHandler)
AmazonElasticMapReduceAsyncRemoves a user or group from an Amazon EMR Studio.
deleteStudioSessionMappingAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<DescribeClusterResult> describeClusterAsync(DescribeClusterRequest request)
AmazonElasticMapReduceAsyncProvides cluster-level details including status, hardware and software configuration, VPC settings, and so on.
describeClusterAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which cluster to describe.public Future<DescribeClusterResult> describeClusterAsync(DescribeClusterRequest request, AsyncHandler<DescribeClusterRequest,DescribeClusterResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides cluster-level details including status, hardware and software configuration, VPC settings, and so on.
describeClusterAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which cluster to describe.asyncHandler - 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.@Deprecated public Future<DescribeJobFlowsResult> describeJobFlowsAsync(DescribeJobFlowsRequest request)
AmazonElasticMapReduceAsyncThis API is no longer supported and will eventually be removed. We recommend you use ListClusters, DescribeCluster, ListSteps, ListInstanceGroups and ListBootstrapActions instead.
DescribeJobFlows returns a list of job flows that match all of the supplied parameters. The parameters can include a list of job flow IDs, job flow states, and restrictions on job flow creation date and time.
Regardless of supplied parameters, only job flows created within the last two months are returned.
If no parameters are supplied, then job flows matching either of the following criteria are returned:
Job flows created and completed in the last two weeks
Job flows created within the last two months that are in one of the following states: RUNNING,
WAITING, SHUTTING_DOWN, STARTING
Amazon EMR can return a maximum of 512 job flow descriptions.
describeJobFlowsAsync in interface AmazonElasticMapReduceAsyncrequest - The input for the DescribeJobFlows operation.@Deprecated public Future<DescribeJobFlowsResult> describeJobFlowsAsync(DescribeJobFlowsRequest request, AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
AmazonElasticMapReduceAsyncThis API is no longer supported and will eventually be removed. We recommend you use ListClusters, DescribeCluster, ListSteps, ListInstanceGroups and ListBootstrapActions instead.
DescribeJobFlows returns a list of job flows that match all of the supplied parameters. The parameters can include a list of job flow IDs, job flow states, and restrictions on job flow creation date and time.
Regardless of supplied parameters, only job flows created within the last two months are returned.
If no parameters are supplied, then job flows matching either of the following criteria are returned:
Job flows created and completed in the last two weeks
Job flows created within the last two months that are in one of the following states: RUNNING,
WAITING, SHUTTING_DOWN, STARTING
Amazon EMR can return a maximum of 512 job flow descriptions.
describeJobFlowsAsync in interface AmazonElasticMapReduceAsyncrequest - The input for the DescribeJobFlows operation.asyncHandler - 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.@Deprecated public Future<DescribeJobFlowsResult> describeJobFlowsAsync()
describeJobFlowsAsync in interface AmazonElasticMapReduceAsyncdescribeJobFlowsAsync(DescribeJobFlowsRequest)@Deprecated public Future<DescribeJobFlowsResult> describeJobFlowsAsync(AsyncHandler<DescribeJobFlowsRequest,DescribeJobFlowsResult> asyncHandler)
describeJobFlowsAsync in interface AmazonElasticMapReduceAsyncdescribeJobFlowsAsync(DescribeJobFlowsRequest, com.amazonaws.handlers.AsyncHandler)public Future<DescribeNotebookExecutionResult> describeNotebookExecutionAsync(DescribeNotebookExecutionRequest request)
AmazonElasticMapReduceAsyncProvides details of a notebook execution.
describeNotebookExecutionAsync in interface AmazonElasticMapReduceAsyncpublic Future<DescribeNotebookExecutionResult> describeNotebookExecutionAsync(DescribeNotebookExecutionRequest request, AsyncHandler<DescribeNotebookExecutionRequest,DescribeNotebookExecutionResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides details of a notebook execution.
describeNotebookExecutionAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<DescribeReleaseLabelResult> describeReleaseLabelAsync(DescribeReleaseLabelRequest request)
AmazonElasticMapReduceAsyncProvides Amazon EMR release label details, such as the releases available the Region where the API request is run, and the available applications for a specific Amazon EMR release label. Can also list Amazon EMR releases that support a specified version of Spark.
describeReleaseLabelAsync in interface AmazonElasticMapReduceAsyncpublic Future<DescribeReleaseLabelResult> describeReleaseLabelAsync(DescribeReleaseLabelRequest request, AsyncHandler<DescribeReleaseLabelRequest,DescribeReleaseLabelResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides Amazon EMR release label details, such as the releases available the Region where the API request is run, and the available applications for a specific Amazon EMR release label. Can also list Amazon EMR releases that support a specified version of Spark.
describeReleaseLabelAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<DescribeSecurityConfigurationResult> describeSecurityConfigurationAsync(DescribeSecurityConfigurationRequest request)
AmazonElasticMapReduceAsyncProvides the details of a security configuration by returning the configuration JSON.
describeSecurityConfigurationAsync in interface AmazonElasticMapReduceAsyncpublic Future<DescribeSecurityConfigurationResult> describeSecurityConfigurationAsync(DescribeSecurityConfigurationRequest request, AsyncHandler<DescribeSecurityConfigurationRequest,DescribeSecurityConfigurationResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides the details of a security configuration by returning the configuration JSON.
describeSecurityConfigurationAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<DescribeStepResult> describeStepAsync(DescribeStepRequest request)
AmazonElasticMapReduceAsyncProvides more detail about the cluster step.
describeStepAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which step to describe.public Future<DescribeStepResult> describeStepAsync(DescribeStepRequest request, AsyncHandler<DescribeStepRequest,DescribeStepResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides more detail about the cluster step.
describeStepAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which step to describe.asyncHandler - 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<DescribeStudioResult> describeStudioAsync(DescribeStudioRequest request)
AmazonElasticMapReduceAsyncReturns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
describeStudioAsync in interface AmazonElasticMapReduceAsyncpublic Future<DescribeStudioResult> describeStudioAsync(DescribeStudioRequest request, AsyncHandler<DescribeStudioRequest,DescribeStudioResult> asyncHandler)
AmazonElasticMapReduceAsyncReturns details for the specified Amazon EMR Studio including ID, Name, VPC, Studio access URL, and so on.
describeStudioAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<GetAutoTerminationPolicyResult> getAutoTerminationPolicyAsync(GetAutoTerminationPolicyRequest request)
AmazonElasticMapReduceAsyncReturns the auto-termination policy for an Amazon EMR cluster.
getAutoTerminationPolicyAsync in interface AmazonElasticMapReduceAsyncpublic Future<GetAutoTerminationPolicyResult> getAutoTerminationPolicyAsync(GetAutoTerminationPolicyRequest request, AsyncHandler<GetAutoTerminationPolicyRequest,GetAutoTerminationPolicyResult> asyncHandler)
AmazonElasticMapReduceAsyncReturns the auto-termination policy for an Amazon EMR cluster.
getAutoTerminationPolicyAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<GetBlockPublicAccessConfigurationResult> getBlockPublicAccessConfigurationAsync(GetBlockPublicAccessConfigurationRequest request)
AmazonElasticMapReduceAsyncReturns the Amazon EMR block public access configuration for your Amazon Web Services account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
getBlockPublicAccessConfigurationAsync in interface AmazonElasticMapReduceAsyncpublic Future<GetBlockPublicAccessConfigurationResult> getBlockPublicAccessConfigurationAsync(GetBlockPublicAccessConfigurationRequest request, AsyncHandler<GetBlockPublicAccessConfigurationRequest,GetBlockPublicAccessConfigurationResult> asyncHandler)
AmazonElasticMapReduceAsyncReturns the Amazon EMR block public access configuration for your Amazon Web Services account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
getBlockPublicAccessConfigurationAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<GetClusterSessionCredentialsResult> getClusterSessionCredentialsAsync(GetClusterSessionCredentialsRequest request)
AmazonElasticMapReduceAsyncProvides temporary, HTTP basic credentials that are associated with a given runtime IAM role and used by a cluster with fine-grained access control activated. You can use these credentials to connect to cluster endpoints that support username and password authentication.
getClusterSessionCredentialsAsync in interface AmazonElasticMapReduceAsyncpublic Future<GetClusterSessionCredentialsResult> getClusterSessionCredentialsAsync(GetClusterSessionCredentialsRequest request, AsyncHandler<GetClusterSessionCredentialsRequest,GetClusterSessionCredentialsResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides temporary, HTTP basic credentials that are associated with a given runtime IAM role and used by a cluster with fine-grained access control activated. You can use these credentials to connect to cluster endpoints that support username and password authentication.
getClusterSessionCredentialsAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<GetManagedScalingPolicyResult> getManagedScalingPolicyAsync(GetManagedScalingPolicyRequest request)
AmazonElasticMapReduceAsyncFetches the attached managed scaling policy for an Amazon EMR cluster.
getManagedScalingPolicyAsync in interface AmazonElasticMapReduceAsyncpublic Future<GetManagedScalingPolicyResult> getManagedScalingPolicyAsync(GetManagedScalingPolicyRequest request, AsyncHandler<GetManagedScalingPolicyRequest,GetManagedScalingPolicyResult> asyncHandler)
AmazonElasticMapReduceAsyncFetches the attached managed scaling policy for an Amazon EMR cluster.
getManagedScalingPolicyAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<GetStudioSessionMappingResult> getStudioSessionMappingAsync(GetStudioSessionMappingRequest request)
AmazonElasticMapReduceAsyncFetches mapping details for the specified Amazon EMR Studio and identity (user or group).
getStudioSessionMappingAsync in interface AmazonElasticMapReduceAsyncpublic Future<GetStudioSessionMappingResult> getStudioSessionMappingAsync(GetStudioSessionMappingRequest request, AsyncHandler<GetStudioSessionMappingRequest,GetStudioSessionMappingResult> asyncHandler)
AmazonElasticMapReduceAsyncFetches mapping details for the specified Amazon EMR Studio and identity (user or group).
getStudioSessionMappingAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ListBootstrapActionsResult> listBootstrapActionsAsync(ListBootstrapActionsRequest request)
AmazonElasticMapReduceAsyncProvides information about the bootstrap actions associated with a cluster.
listBootstrapActionsAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which bootstrap actions to retrieve.public Future<ListBootstrapActionsResult> listBootstrapActionsAsync(ListBootstrapActionsRequest request, AsyncHandler<ListBootstrapActionsRequest,ListBootstrapActionsResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides information about the bootstrap actions associated with a cluster.
listBootstrapActionsAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which bootstrap actions to retrieve.asyncHandler - 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<ListClustersResult> listClustersAsync(ListClustersRequest request)
AmazonElasticMapReduceAsyncProvides the status of all clusters visible to this Amazon Web Services account. Allows you to filter the list of clusters based on certain criteria; for example, filtering by cluster creation date and time or by status. This call returns a maximum of 50 clusters in unsorted order per call, but returns a marker to track the paging of the cluster list across multiple ListClusters calls.
listClustersAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines how the ListClusters action filters the list of clusters that it returns.public Future<ListClustersResult> listClustersAsync(ListClustersRequest request, AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides the status of all clusters visible to this Amazon Web Services account. Allows you to filter the list of clusters based on certain criteria; for example, filtering by cluster creation date and time or by status. This call returns a maximum of 50 clusters in unsorted order per call, but returns a marker to track the paging of the cluster list across multiple ListClusters calls.
listClustersAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines how the ListClusters action filters the list of clusters that it returns.asyncHandler - 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<ListClustersResult> listClustersAsync()
listClustersAsync in interface AmazonElasticMapReduceAsynclistClustersAsync(ListClustersRequest)public Future<ListClustersResult> listClustersAsync(AsyncHandler<ListClustersRequest,ListClustersResult> asyncHandler)
listClustersAsync in interface AmazonElasticMapReduceAsynclistClustersAsync(ListClustersRequest, com.amazonaws.handlers.AsyncHandler)public Future<ListInstanceFleetsResult> listInstanceFleetsAsync(ListInstanceFleetsRequest request)
AmazonElasticMapReduceAsyncLists all available details about the instance fleets in a cluster.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions.
listInstanceFleetsAsync in interface AmazonElasticMapReduceAsyncpublic Future<ListInstanceFleetsResult> listInstanceFleetsAsync(ListInstanceFleetsRequest request, AsyncHandler<ListInstanceFleetsRequest,ListInstanceFleetsResult> asyncHandler)
AmazonElasticMapReduceAsyncLists all available details about the instance fleets in a cluster.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions.
listInstanceFleetsAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ListInstanceGroupsResult> listInstanceGroupsAsync(ListInstanceGroupsRequest request)
AmazonElasticMapReduceAsyncProvides all available details about the instance groups in a cluster.
listInstanceGroupsAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which instance groups to retrieve.public Future<ListInstanceGroupsResult> listInstanceGroupsAsync(ListInstanceGroupsRequest request, AsyncHandler<ListInstanceGroupsRequest,ListInstanceGroupsResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides all available details about the instance groups in a cluster.
listInstanceGroupsAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which instance groups to retrieve.asyncHandler - 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<ListInstancesResult> listInstancesAsync(ListInstancesRequest request)
AmazonElasticMapReduceAsyncProvides information for all active Amazon EC2 instances and Amazon EC2 instances terminated in the last 30 days, up to a maximum of 2,000. Amazon EC2 instances in any of the following states are considered active: AWAITING_FULFILLMENT, PROVISIONING, BOOTSTRAPPING, RUNNING.
listInstancesAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which instances to list.public Future<ListInstancesResult> listInstancesAsync(ListInstancesRequest request, AsyncHandler<ListInstancesRequest,ListInstancesResult> asyncHandler)
AmazonElasticMapReduceAsyncProvides information for all active Amazon EC2 instances and Amazon EC2 instances terminated in the last 30 days, up to a maximum of 2,000. Amazon EC2 instances in any of the following states are considered active: AWAITING_FULFILLMENT, PROVISIONING, BOOTSTRAPPING, RUNNING.
listInstancesAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which instances to list.asyncHandler - 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<ListNotebookExecutionsResult> listNotebookExecutionsAsync(ListNotebookExecutionsRequest request)
AmazonElasticMapReduceAsync
Provides summaries of all notebook executions. You can filter the list based on multiple criteria such as status,
time range, and editor id. Returns a maximum of 50 notebook executions and a marker to track the paging of a
longer notebook execution list across multiple ListNotebookExecutions calls.
listNotebookExecutionsAsync in interface AmazonElasticMapReduceAsyncpublic Future<ListNotebookExecutionsResult> listNotebookExecutionsAsync(ListNotebookExecutionsRequest request, AsyncHandler<ListNotebookExecutionsRequest,ListNotebookExecutionsResult> asyncHandler)
AmazonElasticMapReduceAsync
Provides summaries of all notebook executions. You can filter the list based on multiple criteria such as status,
time range, and editor id. Returns a maximum of 50 notebook executions and a marker to track the paging of a
longer notebook execution list across multiple ListNotebookExecutions calls.
listNotebookExecutionsAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ListReleaseLabelsResult> listReleaseLabelsAsync(ListReleaseLabelsRequest request)
AmazonElasticMapReduceAsyncRetrieves release labels of Amazon EMR services in the Region where the API is called.
listReleaseLabelsAsync in interface AmazonElasticMapReduceAsyncpublic Future<ListReleaseLabelsResult> listReleaseLabelsAsync(ListReleaseLabelsRequest request, AsyncHandler<ListReleaseLabelsRequest,ListReleaseLabelsResult> asyncHandler)
AmazonElasticMapReduceAsyncRetrieves release labels of Amazon EMR services in the Region where the API is called.
listReleaseLabelsAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ListSecurityConfigurationsResult> listSecurityConfigurationsAsync(ListSecurityConfigurationsRequest request)
AmazonElasticMapReduceAsyncLists all the security configurations visible to this account, providing their creation dates and times, and their names. This call returns a maximum of 50 clusters per call, but returns a marker to track the paging of the cluster list across multiple ListSecurityConfigurations calls.
listSecurityConfigurationsAsync in interface AmazonElasticMapReduceAsyncpublic Future<ListSecurityConfigurationsResult> listSecurityConfigurationsAsync(ListSecurityConfigurationsRequest request, AsyncHandler<ListSecurityConfigurationsRequest,ListSecurityConfigurationsResult> asyncHandler)
AmazonElasticMapReduceAsyncLists all the security configurations visible to this account, providing their creation dates and times, and their names. This call returns a maximum of 50 clusters per call, but returns a marker to track the paging of the cluster list across multiple ListSecurityConfigurations calls.
listSecurityConfigurationsAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ListStepsResult> listStepsAsync(ListStepsRequest request)
AmazonElasticMapReduceAsync
Provides a list of steps for the cluster in reverse order unless you specify stepIds with the
request or filter by StepStates. You can specify a maximum of 10 stepIDs. The CLI
automatically paginates results to return a list greater than 50 steps. To return more than 50 steps using the
CLI, specify a Marker, which is a pagination token that indicates the next set of steps to retrieve.
listStepsAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which steps to list.public Future<ListStepsResult> listStepsAsync(ListStepsRequest request, AsyncHandler<ListStepsRequest,ListStepsResult> asyncHandler)
AmazonElasticMapReduceAsync
Provides a list of steps for the cluster in reverse order unless you specify stepIds with the
request or filter by StepStates. You can specify a maximum of 10 stepIDs. The CLI
automatically paginates results to return a list greater than 50 steps. To return more than 50 steps using the
CLI, specify a Marker, which is a pagination token that indicates the next set of steps to retrieve.
listStepsAsync in interface AmazonElasticMapReduceAsyncrequest - This input determines which steps to list.asyncHandler - 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<ListStudioSessionMappingsResult> listStudioSessionMappingsAsync(ListStudioSessionMappingsRequest request)
AmazonElasticMapReduceAsync
Returns a list of all user or group session mappings for the Amazon EMR Studio specified by StudioId
.
listStudioSessionMappingsAsync in interface AmazonElasticMapReduceAsyncpublic Future<ListStudioSessionMappingsResult> listStudioSessionMappingsAsync(ListStudioSessionMappingsRequest request, AsyncHandler<ListStudioSessionMappingsRequest,ListStudioSessionMappingsResult> asyncHandler)
AmazonElasticMapReduceAsync
Returns a list of all user or group session mappings for the Amazon EMR Studio specified by StudioId
.
listStudioSessionMappingsAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ListStudiosResult> listStudiosAsync(ListStudiosRequest request)
AmazonElasticMapReduceAsyncReturns a list of all Amazon EMR Studios associated with the Amazon Web Services account. The list includes details such as ID, Studio Access URL, and creation time for each Studio.
listStudiosAsync in interface AmazonElasticMapReduceAsyncpublic Future<ListStudiosResult> listStudiosAsync(ListStudiosRequest request, AsyncHandler<ListStudiosRequest,ListStudiosResult> asyncHandler)
AmazonElasticMapReduceAsyncReturns a list of all Amazon EMR Studios associated with the Amazon Web Services account. The list includes details such as ID, Studio Access URL, and creation time for each Studio.
listStudiosAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ListSupportedInstanceTypesResult> listSupportedInstanceTypesAsync(ListSupportedInstanceTypesRequest request)
AmazonElasticMapReduceAsyncA list of the instance types that Amazon EMR supports. You can filter the list by Amazon Web Services Region and Amazon EMR release.
listSupportedInstanceTypesAsync in interface AmazonElasticMapReduceAsyncpublic Future<ListSupportedInstanceTypesResult> listSupportedInstanceTypesAsync(ListSupportedInstanceTypesRequest request, AsyncHandler<ListSupportedInstanceTypesRequest,ListSupportedInstanceTypesResult> asyncHandler)
AmazonElasticMapReduceAsyncA list of the instance types that Amazon EMR supports. You can filter the list by Amazon Web Services Region and Amazon EMR release.
listSupportedInstanceTypesAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ModifyClusterResult> modifyClusterAsync(ModifyClusterRequest request)
AmazonElasticMapReduceAsyncModifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
modifyClusterAsync in interface AmazonElasticMapReduceAsyncpublic Future<ModifyClusterResult> modifyClusterAsync(ModifyClusterRequest request, AsyncHandler<ModifyClusterRequest,ModifyClusterResult> asyncHandler)
AmazonElasticMapReduceAsyncModifies the number of steps that can be executed concurrently for the cluster specified using ClusterID.
modifyClusterAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ModifyInstanceFleetResult> modifyInstanceFleetAsync(ModifyInstanceFleetRequest request)
AmazonElasticMapReduceAsyncModifies the target On-Demand and target Spot capacities for the instance fleet with the specified InstanceFleetID within the cluster specified using ClusterID. The call either succeeds or fails atomically.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions.
modifyInstanceFleetAsync in interface AmazonElasticMapReduceAsyncpublic Future<ModifyInstanceFleetResult> modifyInstanceFleetAsync(ModifyInstanceFleetRequest request, AsyncHandler<ModifyInstanceFleetRequest,ModifyInstanceFleetResult> asyncHandler)
AmazonElasticMapReduceAsyncModifies the target On-Demand and target Spot capacities for the instance fleet with the specified InstanceFleetID within the cluster specified using ClusterID. The call either succeeds or fails atomically.
The instance fleet configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions.
modifyInstanceFleetAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<ModifyInstanceGroupsResult> modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest request)
AmazonElasticMapReduceAsyncModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group. The input parameters include the new target instance count for the group and the instance group ID. The call will either succeed or fail atomically.
modifyInstanceGroupsAsync in interface AmazonElasticMapReduceAsyncrequest - Change the size of some instance groups.public Future<ModifyInstanceGroupsResult> modifyInstanceGroupsAsync(ModifyInstanceGroupsRequest request, AsyncHandler<ModifyInstanceGroupsRequest,ModifyInstanceGroupsResult> asyncHandler)
AmazonElasticMapReduceAsyncModifyInstanceGroups modifies the number of nodes and configuration settings of an instance group. The input parameters include the new target instance count for the group and the instance group ID. The call will either succeed or fail atomically.
modifyInstanceGroupsAsync in interface AmazonElasticMapReduceAsyncrequest - Change the size of some instance groups.asyncHandler - 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<ModifyInstanceGroupsResult> modifyInstanceGroupsAsync()
modifyInstanceGroupsAsync in interface AmazonElasticMapReduceAsyncmodifyInstanceGroupsAsync(ModifyInstanceGroupsRequest)public Future<ModifyInstanceGroupsResult> modifyInstanceGroupsAsync(AsyncHandler<ModifyInstanceGroupsRequest,ModifyInstanceGroupsResult> asyncHandler)
modifyInstanceGroupsAsync in interface AmazonElasticMapReduceAsyncmodifyInstanceGroupsAsync(ModifyInstanceGroupsRequest, com.amazonaws.handlers.AsyncHandler)public Future<PutAutoScalingPolicyResult> putAutoScalingPolicyAsync(PutAutoScalingPolicyRequest request)
AmazonElasticMapReduceAsyncCreates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster. The automatic scaling policy defines how an instance group dynamically adds and terminates Amazon EC2 instances in response to the value of a CloudWatch metric.
putAutoScalingPolicyAsync in interface AmazonElasticMapReduceAsyncpublic Future<PutAutoScalingPolicyResult> putAutoScalingPolicyAsync(PutAutoScalingPolicyRequest request, AsyncHandler<PutAutoScalingPolicyRequest,PutAutoScalingPolicyResult> asyncHandler)
AmazonElasticMapReduceAsyncCreates or updates an automatic scaling policy for a core instance group or task instance group in an Amazon EMR cluster. The automatic scaling policy defines how an instance group dynamically adds and terminates Amazon EC2 instances in response to the value of a CloudWatch metric.
putAutoScalingPolicyAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<PutAutoTerminationPolicyResult> putAutoTerminationPolicyAsync(PutAutoTerminationPolicyRequest request)
AmazonElasticMapReduceAsyncAuto-termination is supported in Amazon EMR releases 5.30.0 and 6.1.0 and later. For more information, see Using an auto-termination policy.
Creates or updates an auto-termination policy for an Amazon EMR cluster. An auto-termination policy defines the amount of idle time in seconds after which a cluster automatically terminates. For alternative cluster termination options, see Control cluster termination.
putAutoTerminationPolicyAsync in interface AmazonElasticMapReduceAsyncpublic Future<PutAutoTerminationPolicyResult> putAutoTerminationPolicyAsync(PutAutoTerminationPolicyRequest request, AsyncHandler<PutAutoTerminationPolicyRequest,PutAutoTerminationPolicyResult> asyncHandler)
AmazonElasticMapReduceAsyncAuto-termination is supported in Amazon EMR releases 5.30.0 and 6.1.0 and later. For more information, see Using an auto-termination policy.
Creates or updates an auto-termination policy for an Amazon EMR cluster. An auto-termination policy defines the amount of idle time in seconds after which a cluster automatically terminates. For alternative cluster termination options, see Control cluster termination.
putAutoTerminationPolicyAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<PutBlockPublicAccessConfigurationResult> putBlockPublicAccessConfigurationAsync(PutBlockPublicAccessConfigurationRequest request)
AmazonElasticMapReduceAsyncCreates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
putBlockPublicAccessConfigurationAsync in interface AmazonElasticMapReduceAsyncpublic Future<PutBlockPublicAccessConfigurationResult> putBlockPublicAccessConfigurationAsync(PutBlockPublicAccessConfigurationRequest request, AsyncHandler<PutBlockPublicAccessConfigurationRequest,PutBlockPublicAccessConfigurationResult> asyncHandler)
AmazonElasticMapReduceAsyncCreates or updates an Amazon EMR block public access configuration for your Amazon Web Services account in the current Region. For more information see Configure Block Public Access for Amazon EMR in the Amazon EMR Management Guide.
putBlockPublicAccessConfigurationAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<PutManagedScalingPolicyResult> putManagedScalingPolicyAsync(PutManagedScalingPolicyRequest request)
AmazonElasticMapReduceAsyncCreates or updates a managed scaling policy for an Amazon EMR cluster. The managed scaling policy defines the limits for resources, such as Amazon EC2 instances that can be added or terminated from a cluster. The policy only applies to the core and task nodes. The master node cannot be scaled after initial configuration.
putManagedScalingPolicyAsync in interface AmazonElasticMapReduceAsyncpublic Future<PutManagedScalingPolicyResult> putManagedScalingPolicyAsync(PutManagedScalingPolicyRequest request, AsyncHandler<PutManagedScalingPolicyRequest,PutManagedScalingPolicyResult> asyncHandler)
AmazonElasticMapReduceAsyncCreates or updates a managed scaling policy for an Amazon EMR cluster. The managed scaling policy defines the limits for resources, such as Amazon EC2 instances that can be added or terminated from a cluster. The policy only applies to the core and task nodes. The master node cannot be scaled after initial configuration.
putManagedScalingPolicyAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<RemoveAutoScalingPolicyResult> removeAutoScalingPolicyAsync(RemoveAutoScalingPolicyRequest request)
AmazonElasticMapReduceAsyncRemoves an automatic scaling policy from a specified instance group within an Amazon EMR cluster.
removeAutoScalingPolicyAsync in interface AmazonElasticMapReduceAsyncpublic Future<RemoveAutoScalingPolicyResult> removeAutoScalingPolicyAsync(RemoveAutoScalingPolicyRequest request, AsyncHandler<RemoveAutoScalingPolicyRequest,RemoveAutoScalingPolicyResult> asyncHandler)
AmazonElasticMapReduceAsyncRemoves an automatic scaling policy from a specified instance group within an Amazon EMR cluster.
removeAutoScalingPolicyAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<RemoveAutoTerminationPolicyResult> removeAutoTerminationPolicyAsync(RemoveAutoTerminationPolicyRequest request)
AmazonElasticMapReduceAsyncRemoves an auto-termination policy from an Amazon EMR cluster.
removeAutoTerminationPolicyAsync in interface AmazonElasticMapReduceAsyncpublic Future<RemoveAutoTerminationPolicyResult> removeAutoTerminationPolicyAsync(RemoveAutoTerminationPolicyRequest request, AsyncHandler<RemoveAutoTerminationPolicyRequest,RemoveAutoTerminationPolicyResult> asyncHandler)
AmazonElasticMapReduceAsyncRemoves an auto-termination policy from an Amazon EMR cluster.
removeAutoTerminationPolicyAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<RemoveManagedScalingPolicyResult> removeManagedScalingPolicyAsync(RemoveManagedScalingPolicyRequest request)
AmazonElasticMapReduceAsyncRemoves a managed scaling policy from a specified Amazon EMR cluster.
removeManagedScalingPolicyAsync in interface AmazonElasticMapReduceAsyncpublic Future<RemoveManagedScalingPolicyResult> removeManagedScalingPolicyAsync(RemoveManagedScalingPolicyRequest request, AsyncHandler<RemoveManagedScalingPolicyRequest,RemoveManagedScalingPolicyResult> asyncHandler)
AmazonElasticMapReduceAsyncRemoves a managed scaling policy from a specified Amazon EMR cluster.
removeManagedScalingPolicyAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<RemoveTagsResult> removeTagsAsync(RemoveTagsRequest request)
AmazonElasticMapReduceAsyncRemoves tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio. Tags make it easier to associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
The following example removes the stack tag with value Prod from a cluster:
removeTagsAsync in interface AmazonElasticMapReduceAsyncrequest - This input identifies an Amazon EMR resource and a list of tags to remove.public Future<RemoveTagsResult> removeTagsAsync(RemoveTagsRequest request, AsyncHandler<RemoveTagsRequest,RemoveTagsResult> asyncHandler)
AmazonElasticMapReduceAsyncRemoves tags from an Amazon EMR resource, such as a cluster or Amazon EMR Studio. Tags make it easier to associate resources in various ways, such as grouping clusters to track your Amazon EMR resource allocation costs. For more information, see Tag Clusters.
The following example removes the stack tag with value Prod from a cluster:
removeTagsAsync in interface AmazonElasticMapReduceAsyncrequest - This input identifies an Amazon EMR resource and a list of tags to remove.asyncHandler - 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<RunJobFlowResult> runJobFlowAsync(RunJobFlowRequest request)
AmazonElasticMapReduceAsync
RunJobFlow creates and starts running a new cluster (job flow). The cluster runs the steps specified. After the
steps complete, the cluster stops and the HDFS partition is lost. To prevent loss of data, configure the last
step of the job flow to store results in Amazon S3. If the JobFlowInstancesConfig
KeepJobFlowAliveWhenNoSteps parameter is set to TRUE, the cluster transitions to the
WAITING state rather than shutting down after the steps have completed.
For additional protection, you can set the JobFlowInstancesConfig TerminationProtected
parameter to TRUE to lock the cluster and prevent it from being terminated by API call, user
intervention, or in the event of a job flow error.
A maximum of 256 steps are allowed in each job flow.
If your cluster is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps to process your data. You can bypass the 256-step limitation in various ways, including using the SSH shell to connect to the master node and submitting queries directly to the software running on the master node, such as Hive and Hadoop.
For long-running clusters, we recommend that you periodically store your results.
The instance fleets configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions. The RunJobFlow request can contain InstanceFleets parameters or InstanceGroups parameters, but not both.
runJobFlowAsync in interface AmazonElasticMapReduceAsyncrequest - Input to the RunJobFlow operation.public Future<RunJobFlowResult> runJobFlowAsync(RunJobFlowRequest request, AsyncHandler<RunJobFlowRequest,RunJobFlowResult> asyncHandler)
AmazonElasticMapReduceAsync
RunJobFlow creates and starts running a new cluster (job flow). The cluster runs the steps specified. After the
steps complete, the cluster stops and the HDFS partition is lost. To prevent loss of data, configure the last
step of the job flow to store results in Amazon S3. If the JobFlowInstancesConfig
KeepJobFlowAliveWhenNoSteps parameter is set to TRUE, the cluster transitions to the
WAITING state rather than shutting down after the steps have completed.
For additional protection, you can set the JobFlowInstancesConfig TerminationProtected
parameter to TRUE to lock the cluster and prevent it from being terminated by API call, user
intervention, or in the event of a job flow error.
A maximum of 256 steps are allowed in each job flow.
If your cluster is long-running (such as a Hive data warehouse) or complex, you may require more than 256 steps to process your data. You can bypass the 256-step limitation in various ways, including using the SSH shell to connect to the master node and submitting queries directly to the software running on the master node, such as Hive and Hadoop.
For long-running clusters, we recommend that you periodically store your results.
The instance fleets configuration is available only in Amazon EMR releases 4.8.0 and later, excluding 5.0.x versions. The RunJobFlow request can contain InstanceFleets parameters or InstanceGroups parameters, but not both.
runJobFlowAsync in interface AmazonElasticMapReduceAsyncrequest - Input to the RunJobFlow operation.asyncHandler - 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<SetTerminationProtectionResult> setTerminationProtectionAsync(SetTerminationProtectionRequest request)
AmazonElasticMapReduceAsync
SetTerminationProtection locks a cluster (job flow) so the Amazon EC2 instances in the cluster cannot be
terminated by user intervention, an API call, or in the event of a job-flow error. The cluster still terminates
upon successful completion of the job flow. Calling SetTerminationProtection on a cluster is similar
to calling the Amazon EC2 DisableAPITermination API on all Amazon EC2 instances in a cluster.
SetTerminationProtection is used to prevent accidental termination of a cluster and to ensure that
in the event of an error, the instances persist so that you can recover any data stored in their ephemeral
instance storage.
To terminate a cluster that has been locked by setting SetTerminationProtection to true
, you must first unlock the job flow by a subsequent call to SetTerminationProtection in which you
set the value to false.
For more information, seeManaging Cluster Termination in the Amazon EMR Management Guide.
setTerminationProtectionAsync in interface AmazonElasticMapReduceAsyncrequest - The input argument to the TerminationProtection operation.public Future<SetTerminationProtectionResult> setTerminationProtectionAsync(SetTerminationProtectionRequest request, AsyncHandler<SetTerminationProtectionRequest,SetTerminationProtectionResult> asyncHandler)
AmazonElasticMapReduceAsync
SetTerminationProtection locks a cluster (job flow) so the Amazon EC2 instances in the cluster cannot be
terminated by user intervention, an API call, or in the event of a job-flow error. The cluster still terminates
upon successful completion of the job flow. Calling SetTerminationProtection on a cluster is similar
to calling the Amazon EC2 DisableAPITermination API on all Amazon EC2 instances in a cluster.
SetTerminationProtection is used to prevent accidental termination of a cluster and to ensure that
in the event of an error, the instances persist so that you can recover any data stored in their ephemeral
instance storage.
To terminate a cluster that has been locked by setting SetTerminationProtection to true
, you must first unlock the job flow by a subsequent call to SetTerminationProtection in which you
set the value to false.
For more information, seeManaging Cluster Termination in the Amazon EMR Management Guide.
setTerminationProtectionAsync in interface AmazonElasticMapReduceAsyncrequest - The input argument to the TerminationProtection operation.asyncHandler - 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<SetVisibleToAllUsersResult> setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest request)
AmazonElasticMapReduceAsyncThe SetVisibleToAllUsers parameter is no longer supported. Your cluster may be visible to all users in your account. To restrict cluster access using an IAM policy, see Identity and Access Management for Amazon EMR.
Sets the Cluster$VisibleToAllUsers value for an Amazon EMR cluster. When true, IAM principals
in the Amazon Web Services account can perform Amazon EMR cluster actions that their IAM policies allow. When
false, only the IAM principal that created the cluster and the Amazon Web Services account root user
can perform Amazon EMR actions on the cluster, regardless of IAM permissions policies attached to other IAM
principals.
This action works on running clusters. When you create a cluster, use the RunJobFlowInput$VisibleToAllUsers parameter.
For more information, see Understanding the Amazon EMR Cluster VisibleToAllUsers Setting in the Amazon EMR Management Guide.
setVisibleToAllUsersAsync in interface AmazonElasticMapReduceAsyncrequest - The input to the SetVisibleToAllUsers action.public Future<SetVisibleToAllUsersResult> setVisibleToAllUsersAsync(SetVisibleToAllUsersRequest request, AsyncHandler<SetVisibleToAllUsersRequest,SetVisibleToAllUsersResult> asyncHandler)
AmazonElasticMapReduceAsyncThe SetVisibleToAllUsers parameter is no longer supported. Your cluster may be visible to all users in your account. To restrict cluster access using an IAM policy, see Identity and Access Management for Amazon EMR.
Sets the Cluster$VisibleToAllUsers value for an Amazon EMR cluster. When true, IAM principals
in the Amazon Web Services account can perform Amazon EMR cluster actions that their IAM policies allow. When
false, only the IAM principal that created the cluster and the Amazon Web Services account root user
can perform Amazon EMR actions on the cluster, regardless of IAM permissions policies attached to other IAM
principals.
This action works on running clusters. When you create a cluster, use the RunJobFlowInput$VisibleToAllUsers parameter.
For more information, see Understanding the Amazon EMR Cluster VisibleToAllUsers Setting in the Amazon EMR Management Guide.
setVisibleToAllUsersAsync in interface AmazonElasticMapReduceAsyncrequest - The input to the SetVisibleToAllUsers action.asyncHandler - 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<StartNotebookExecutionResult> startNotebookExecutionAsync(StartNotebookExecutionRequest request)
AmazonElasticMapReduceAsyncStarts a notebook execution.
startNotebookExecutionAsync in interface AmazonElasticMapReduceAsyncpublic Future<StartNotebookExecutionResult> startNotebookExecutionAsync(StartNotebookExecutionRequest request, AsyncHandler<StartNotebookExecutionRequest,StartNotebookExecutionResult> asyncHandler)
AmazonElasticMapReduceAsyncStarts a notebook execution.
startNotebookExecutionAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<StopNotebookExecutionResult> stopNotebookExecutionAsync(StopNotebookExecutionRequest request)
AmazonElasticMapReduceAsyncStops a notebook execution.
stopNotebookExecutionAsync in interface AmazonElasticMapReduceAsyncpublic Future<StopNotebookExecutionResult> stopNotebookExecutionAsync(StopNotebookExecutionRequest request, AsyncHandler<StopNotebookExecutionRequest,StopNotebookExecutionResult> asyncHandler)
AmazonElasticMapReduceAsyncStops a notebook execution.
stopNotebookExecutionAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<TerminateJobFlowsResult> terminateJobFlowsAsync(TerminateJobFlowsRequest request)
AmazonElasticMapReduceAsyncTerminateJobFlows shuts a list of clusters (job flows) down. When a job flow is shut down, any step not yet completed is canceled and the Amazon EC2 instances on which the cluster is running are stopped. Any log files not already saved are uploaded to Amazon S3 if a LogUri was specified when the cluster was created.
The maximum number of clusters allowed is 10. The call to TerminateJobFlows is asynchronous.
Depending on the configuration of the cluster, it may take up to 1-5 minutes for the cluster to completely
terminate and release allocated resources, such as Amazon EC2 instances.
terminateJobFlowsAsync in interface AmazonElasticMapReduceAsyncrequest - Input to the TerminateJobFlows operation.public Future<TerminateJobFlowsResult> terminateJobFlowsAsync(TerminateJobFlowsRequest request, AsyncHandler<TerminateJobFlowsRequest,TerminateJobFlowsResult> asyncHandler)
AmazonElasticMapReduceAsyncTerminateJobFlows shuts a list of clusters (job flows) down. When a job flow is shut down, any step not yet completed is canceled and the Amazon EC2 instances on which the cluster is running are stopped. Any log files not already saved are uploaded to Amazon S3 if a LogUri was specified when the cluster was created.
The maximum number of clusters allowed is 10. The call to TerminateJobFlows is asynchronous.
Depending on the configuration of the cluster, it may take up to 1-5 minutes for the cluster to completely
terminate and release allocated resources, such as Amazon EC2 instances.
terminateJobFlowsAsync in interface AmazonElasticMapReduceAsyncrequest - Input to the TerminateJobFlows operation.asyncHandler - 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<UpdateStudioResult> updateStudioAsync(UpdateStudioRequest request)
AmazonElasticMapReduceAsyncUpdates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
updateStudioAsync in interface AmazonElasticMapReduceAsyncpublic Future<UpdateStudioResult> updateStudioAsync(UpdateStudioRequest request, AsyncHandler<UpdateStudioRequest,UpdateStudioResult> asyncHandler)
AmazonElasticMapReduceAsyncUpdates an Amazon EMR Studio configuration, including attributes such as name, description, and subnets.
updateStudioAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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<UpdateStudioSessionMappingResult> updateStudioSessionMappingAsync(UpdateStudioSessionMappingRequest request)
AmazonElasticMapReduceAsyncUpdates the session policy attached to the user or group for the specified Amazon EMR Studio.
updateStudioSessionMappingAsync in interface AmazonElasticMapReduceAsyncpublic Future<UpdateStudioSessionMappingResult> updateStudioSessionMappingAsync(UpdateStudioSessionMappingRequest request, AsyncHandler<UpdateStudioSessionMappingRequest,UpdateStudioSessionMappingResult> asyncHandler)
AmazonElasticMapReduceAsyncUpdates the session policy attached to the user or group for the specified Amazon EMR Studio.
updateStudioSessionMappingAsync in interface AmazonElasticMapReduceAsyncasyncHandler - 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 AmazonElasticMapReduceshutdown in class AmazonElasticMapReduceClientCopyright © 2023. All rights reserved.