com.amazonaws.services.emrcontainers

Interface AmazonEMRContainersAsync

All Superinterfaces:

AmazonEMRContainers

All Known Implementing Classes:

AbstractAmazonEMRContainersAsync, AmazonEMRContainersAsyncClient

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public interface AmazonEMRContainersAsync
extends AmazonEMRContainers

Interface for accessing Amazon EMR Containers asynchronously. Each asynchronous method will return a Java Future object representing the asynchronous operation; overloads which accept an AsyncHandler can be used to receive notification when an asynchronous operation completes.

Note: Do not directly implement this interface, new methods are added to it regularly. Extend from AbstractAmazonEMRContainersAsync instead.

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows you to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With this deployment option, you can focus on running analytics workloads while Amazon EMR on EKS builds, configures, and manages containers for open-source applications. For more information about Amazon EMR on EKS concepts and tasks, see What is Amazon EMR on EKS.

Amazon EMR containers is the API name for Amazon EMR on EKS. The emr-containers prefix is used in the following scenarios:

• It is the prefix in the CLI commands for Amazon EMR on EKS. For example, aws emr-containers start-job-run.

• It is the prefix before IAM policy actions for Amazon EMR on EKS. For example, "Action": [ "emr-containers:StartJobRun"]. For more information, see Policy actions for Amazon EMR on EKS.

• It is the prefix used in Amazon EMR on EKS service endpoints. For example, emr-containers.us-east-2.amazonaws.com. For more information, see Amazon EMR on EKS Service Endpoints.

Field Summary

Fields inherited from interface com.amazonaws.services.emrcontainers.AmazonEMRContainers

ENDPOINT_PREFIX

Method Summary

Modifier and Type	Method and Description
Future<CancelJobRunResult>	cancelJobRunAsync(CancelJobRunRequest cancelJobRunRequest) Cancels a job run.
Future<CancelJobRunResult>	cancelJobRunAsync(CancelJobRunRequest cancelJobRunRequest, AsyncHandler<CancelJobRunRequest,CancelJobRunResult> asyncHandler) Cancels a job run.
Future<CreateManagedEndpointResult>	createManagedEndpointAsync(CreateManagedEndpointRequest createManagedEndpointRequest) Creates a managed endpoint.
Future<CreateManagedEndpointResult>	createManagedEndpointAsync(CreateManagedEndpointRequest createManagedEndpointRequest, AsyncHandler<CreateManagedEndpointRequest,CreateManagedEndpointResult> asyncHandler) Creates a managed endpoint.
Future<CreateVirtualClusterResult>	createVirtualClusterAsync(CreateVirtualClusterRequest createVirtualClusterRequest) Creates a virtual cluster.
Future<CreateVirtualClusterResult>	createVirtualClusterAsync(CreateVirtualClusterRequest createVirtualClusterRequest, AsyncHandler<CreateVirtualClusterRequest,CreateVirtualClusterResult> asyncHandler) Creates a virtual cluster.
Future<DeleteManagedEndpointResult>	deleteManagedEndpointAsync(DeleteManagedEndpointRequest deleteManagedEndpointRequest) Deletes a managed endpoint.
Future<DeleteManagedEndpointResult>	deleteManagedEndpointAsync(DeleteManagedEndpointRequest deleteManagedEndpointRequest, AsyncHandler<DeleteManagedEndpointRequest,DeleteManagedEndpointResult> asyncHandler) Deletes a managed endpoint.
Future<DeleteVirtualClusterResult>	deleteVirtualClusterAsync(DeleteVirtualClusterRequest deleteVirtualClusterRequest) Deletes a virtual cluster.
Future<DeleteVirtualClusterResult>	deleteVirtualClusterAsync(DeleteVirtualClusterRequest deleteVirtualClusterRequest, AsyncHandler<DeleteVirtualClusterRequest,DeleteVirtualClusterResult> asyncHandler) Deletes a virtual cluster.
Future<DescribeJobRunResult>	describeJobRunAsync(DescribeJobRunRequest describeJobRunRequest) Displays detailed information about a job run.
Future<DescribeJobRunResult>	describeJobRunAsync(DescribeJobRunRequest describeJobRunRequest, AsyncHandler<DescribeJobRunRequest,DescribeJobRunResult> asyncHandler) Displays detailed information about a job run.
Future<DescribeManagedEndpointResult>	describeManagedEndpointAsync(DescribeManagedEndpointRequest describeManagedEndpointRequest) Displays detailed information about a managed endpoint.
Future<DescribeManagedEndpointResult>	describeManagedEndpointAsync(DescribeManagedEndpointRequest describeManagedEndpointRequest, AsyncHandler<DescribeManagedEndpointRequest,DescribeManagedEndpointResult> asyncHandler) Displays detailed information about a managed endpoint.
Future<DescribeVirtualClusterResult>	describeVirtualClusterAsync(DescribeVirtualClusterRequest describeVirtualClusterRequest) Displays detailed information about a specified virtual cluster.
Future<DescribeVirtualClusterResult>	describeVirtualClusterAsync(DescribeVirtualClusterRequest describeVirtualClusterRequest, AsyncHandler<DescribeVirtualClusterRequest,DescribeVirtualClusterResult> asyncHandler) Displays detailed information about a specified virtual cluster.
Future<ListJobRunsResult>	listJobRunsAsync(ListJobRunsRequest listJobRunsRequest) Lists job runs based on a set of parameters.
Future<ListJobRunsResult>	listJobRunsAsync(ListJobRunsRequest listJobRunsRequest, AsyncHandler<ListJobRunsRequest,ListJobRunsResult> asyncHandler) Lists job runs based on a set of parameters.
Future<ListManagedEndpointsResult>	listManagedEndpointsAsync(ListManagedEndpointsRequest listManagedEndpointsRequest) Lists managed endpoints based on a set of parameters.
Future<ListManagedEndpointsResult>	listManagedEndpointsAsync(ListManagedEndpointsRequest listManagedEndpointsRequest, AsyncHandler<ListManagedEndpointsRequest,ListManagedEndpointsResult> asyncHandler) Lists managed endpoints based on a set of parameters.
Future<ListTagsForResourceResult>	listTagsForResourceAsync(ListTagsForResourceRequest listTagsForResourceRequest) Lists the tags assigned to the resources.
Future<ListTagsForResourceResult>	listTagsForResourceAsync(ListTagsForResourceRequest listTagsForResourceRequest, AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler) Lists the tags assigned to the resources.
Future<ListVirtualClustersResult>	listVirtualClustersAsync(ListVirtualClustersRequest listVirtualClustersRequest) Lists information about the specified virtual cluster.
Future<ListVirtualClustersResult>	listVirtualClustersAsync(ListVirtualClustersRequest listVirtualClustersRequest, AsyncHandler<ListVirtualClustersRequest,ListVirtualClustersResult> asyncHandler) Lists information about the specified virtual cluster.
Future<StartJobRunResult>	startJobRunAsync(StartJobRunRequest startJobRunRequest) Starts a job run.
Future<StartJobRunResult>	startJobRunAsync(StartJobRunRequest startJobRunRequest, AsyncHandler<StartJobRunRequest,StartJobRunResult> asyncHandler) Starts a job run.
Future<TagResourceResult>	tagResourceAsync(TagResourceRequest tagResourceRequest) Assigns tags to resources.
Future<TagResourceResult>	tagResourceAsync(TagResourceRequest tagResourceRequest, AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler) Assigns tags to resources.
Future<UntagResourceResult>	untagResourceAsync(UntagResourceRequest untagResourceRequest) Removes tags from resources.
Future<UntagResourceResult>	untagResourceAsync(UntagResourceRequest untagResourceRequest, AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler) Removes tags from resources.

Methods inherited from interface com.amazonaws.services.emrcontainers.AmazonEMRContainers

cancelJobRun, createManagedEndpoint, createVirtualCluster, deleteManagedEndpoint, deleteVirtualCluster, describeJobRun, describeManagedEndpoint, describeVirtualCluster, getCachedResponseMetadata, listJobRuns, listManagedEndpoints, listTagsForResource, listVirtualClusters, shutdown, startJobRun, tagResource, untagResource

Method Detail

cancelJobRunAsync

Future<CancelJobRunResult> cancelJobRunAsync(CancelJobRunRequest cancelJobRunRequest)

Cancels a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

Parameters:

cancelJobRunRequest -

Returns:

A Java Future containing the result of the CancelJobRun operation returned by the service.

See Also:

AWS API Documentation

cancelJobRunAsync

Future<CancelJobRunResult> cancelJobRunAsync(CancelJobRunRequest cancelJobRunRequest,
                                             AsyncHandler<CancelJobRunRequest,CancelJobRunResult> asyncHandler)

Cancels a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

Parameters:

cancelJobRunRequest -

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.

Returns:

A Java Future containing the result of the CancelJobRun operation returned by the service.

See Also:

AWS API Documentation

createManagedEndpointAsync

Future<CreateManagedEndpointResult> createManagedEndpointAsync(CreateManagedEndpointRequest createManagedEndpointRequest)

Creates a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

Parameters:

createManagedEndpointRequest -

Returns:

A Java Future containing the result of the CreateManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

createManagedEndpointAsync

Future<CreateManagedEndpointResult> createManagedEndpointAsync(CreateManagedEndpointRequest createManagedEndpointRequest,
                                                               AsyncHandler<CreateManagedEndpointRequest,CreateManagedEndpointResult> asyncHandler)

Creates a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

Parameters:

createManagedEndpointRequest -

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.

Returns:

A Java Future containing the result of the CreateManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

createVirtualClusterAsync

Future<CreateVirtualClusterResult> createVirtualClusterAsync(CreateVirtualClusterRequest createVirtualClusterRequest)

Creates a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

Parameters:

createVirtualClusterRequest -

Returns:

A Java Future containing the result of the CreateVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

createVirtualClusterAsync

Future<CreateVirtualClusterResult> createVirtualClusterAsync(CreateVirtualClusterRequest createVirtualClusterRequest,
                                                             AsyncHandler<CreateVirtualClusterRequest,CreateVirtualClusterResult> asyncHandler)

Creates a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

Parameters:

createVirtualClusterRequest -

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.

Returns:

A Java Future containing the result of the CreateVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

deleteManagedEndpointAsync

Future<DeleteManagedEndpointResult> deleteManagedEndpointAsync(DeleteManagedEndpointRequest deleteManagedEndpointRequest)

Deletes a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

Parameters:

deleteManagedEndpointRequest -

Returns:

A Java Future containing the result of the DeleteManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

deleteManagedEndpointAsync

Future<DeleteManagedEndpointResult> deleteManagedEndpointAsync(DeleteManagedEndpointRequest deleteManagedEndpointRequest,
                                                               AsyncHandler<DeleteManagedEndpointRequest,DeleteManagedEndpointResult> asyncHandler)

Deletes a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

Parameters:

deleteManagedEndpointRequest -

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.

Returns:

A Java Future containing the result of the DeleteManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

deleteVirtualClusterAsync

Future<DeleteVirtualClusterResult> deleteVirtualClusterAsync(DeleteVirtualClusterRequest deleteVirtualClusterRequest)

Deletes a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

Parameters:

deleteVirtualClusterRequest -

Returns:

A Java Future containing the result of the DeleteVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

deleteVirtualClusterAsync

Future<DeleteVirtualClusterResult> deleteVirtualClusterAsync(DeleteVirtualClusterRequest deleteVirtualClusterRequest,
                                                             AsyncHandler<DeleteVirtualClusterRequest,DeleteVirtualClusterResult> asyncHandler)

Deletes a virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

Parameters:

deleteVirtualClusterRequest -

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.

Returns:

A Java Future containing the result of the DeleteVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

describeJobRunAsync

Future<DescribeJobRunResult> describeJobRunAsync(DescribeJobRunRequest describeJobRunRequest)

Displays detailed information about a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

Parameters:

describeJobRunRequest -

Returns:

A Java Future containing the result of the DescribeJobRun operation returned by the service.

See Also:

AWS API Documentation

describeJobRunAsync

Future<DescribeJobRunResult> describeJobRunAsync(DescribeJobRunRequest describeJobRunRequest,
                                                 AsyncHandler<DescribeJobRunRequest,DescribeJobRunResult> asyncHandler)

Displays detailed information about a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

Parameters:

describeJobRunRequest -

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.

Returns:

A Java Future containing the result of the DescribeJobRun operation returned by the service.

See Also:

AWS API Documentation

describeManagedEndpointAsync

Future<DescribeManagedEndpointResult> describeManagedEndpointAsync(DescribeManagedEndpointRequest describeManagedEndpointRequest)

Displays detailed information about a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

Parameters:

describeManagedEndpointRequest -

Returns:

A Java Future containing the result of the DescribeManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

describeManagedEndpointAsync

Future<DescribeManagedEndpointResult> describeManagedEndpointAsync(DescribeManagedEndpointRequest describeManagedEndpointRequest,
                                                                   AsyncHandler<DescribeManagedEndpointRequest,DescribeManagedEndpointResult> asyncHandler)

Displays detailed information about a managed endpoint. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

Parameters:

describeManagedEndpointRequest -

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.

Returns:

A Java Future containing the result of the DescribeManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

describeVirtualClusterAsync

Future<DescribeVirtualClusterResult> describeVirtualClusterAsync(DescribeVirtualClusterRequest describeVirtualClusterRequest)

Displays detailed information about a specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

Parameters:

describeVirtualClusterRequest -

Returns:

A Java Future containing the result of the DescribeVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

describeVirtualClusterAsync

Future<DescribeVirtualClusterResult> describeVirtualClusterAsync(DescribeVirtualClusterRequest describeVirtualClusterRequest,
                                                                 AsyncHandler<DescribeVirtualClusterRequest,DescribeVirtualClusterResult> asyncHandler)

Displays detailed information about a specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

Parameters:

describeVirtualClusterRequest -

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.

Returns:

A Java Future containing the result of the DescribeVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

listJobRunsAsync

Future<ListJobRunsResult> listJobRunsAsync(ListJobRunsRequest listJobRunsRequest)

Lists job runs based on a set of parameters. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

Parameters:

listJobRunsRequest -

Returns:

A Java Future containing the result of the ListJobRuns operation returned by the service.

See Also:

AWS API Documentation

listJobRunsAsync

Future<ListJobRunsResult> listJobRunsAsync(ListJobRunsRequest listJobRunsRequest,
                                           AsyncHandler<ListJobRunsRequest,ListJobRunsResult> asyncHandler)

Lists job runs based on a set of parameters. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

Parameters:

listJobRunsRequest -

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.

Returns:

A Java Future containing the result of the ListJobRuns operation returned by the service.

See Also:

AWS API Documentation

listManagedEndpointsAsync

Future<ListManagedEndpointsResult> listManagedEndpointsAsync(ListManagedEndpointsRequest listManagedEndpointsRequest)

Lists managed endpoints based on a set of parameters. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

Parameters:

listManagedEndpointsRequest -

Returns:

A Java Future containing the result of the ListManagedEndpoints operation returned by the service.

See Also:

AWS API Documentation

listManagedEndpointsAsync

Future<ListManagedEndpointsResult> listManagedEndpointsAsync(ListManagedEndpointsRequest listManagedEndpointsRequest,
                                                             AsyncHandler<ListManagedEndpointsRequest,ListManagedEndpointsResult> asyncHandler)

Lists managed endpoints based on a set of parameters. A managed endpoint is a gateway that connects EMR Studio to Amazon EMR on EKS so that EMR Studio can communicate with your virtual cluster.

Parameters:

listManagedEndpointsRequest -

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.

Returns:

A Java Future containing the result of the ListManagedEndpoints operation returned by the service.

See Also:

AWS API Documentation

listTagsForResourceAsync

Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest listTagsForResourceRequest)

Lists the tags assigned to the resources.

Parameters:

listTagsForResourceRequest -

Returns:

A Java Future containing the result of the ListTagsForResource operation returned by the service.

See Also:

AWS API Documentation

listTagsForResourceAsync

Future<ListTagsForResourceResult> listTagsForResourceAsync(ListTagsForResourceRequest listTagsForResourceRequest,
                                                           AsyncHandler<ListTagsForResourceRequest,ListTagsForResourceResult> asyncHandler)

Lists the tags assigned to the resources.

Parameters:

listTagsForResourceRequest -

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.

Returns:

A Java Future containing the result of the ListTagsForResource operation returned by the service.

See Also:

AWS API Documentation

listVirtualClustersAsync

Future<ListVirtualClustersResult> listVirtualClustersAsync(ListVirtualClustersRequest listVirtualClustersRequest)

Lists information about the specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

Parameters:

listVirtualClustersRequest -

Returns:

A Java Future containing the result of the ListVirtualClusters operation returned by the service.

See Also:

AWS API Documentation

listVirtualClustersAsync

Future<ListVirtualClustersResult> listVirtualClustersAsync(ListVirtualClustersRequest listVirtualClustersRequest,
                                                           AsyncHandler<ListVirtualClustersRequest,ListVirtualClustersResult> asyncHandler)

Lists information about the specified virtual cluster. Virtual cluster is a managed entity on Amazon EMR on EKS. You can create, describe, list and delete virtual clusters. They do not consume any additional resource in your system. A single virtual cluster maps to a single Kubernetes namespace. Given this relationship, you can model virtual clusters the same way you model Kubernetes namespaces to meet your requirements.

Parameters:

listVirtualClustersRequest -

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.

Returns:

A Java Future containing the result of the ListVirtualClusters operation returned by the service.

See Also:

AWS API Documentation

startJobRunAsync

Future<StartJobRunResult> startJobRunAsync(StartJobRunRequest startJobRunRequest)

Starts a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

Parameters:

startJobRunRequest -

Returns:

A Java Future containing the result of the StartJobRun operation returned by the service.

See Also:

AWS API Documentation

startJobRunAsync

Future<StartJobRunResult> startJobRunAsync(StartJobRunRequest startJobRunRequest,
                                           AsyncHandler<StartJobRunRequest,StartJobRunResult> asyncHandler)

Starts a job run. A job run is a unit of work, such as a Spark jar, PySpark script, or SparkSQL query, that you submit to Amazon EMR on EKS.

Parameters:

startJobRunRequest -

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.

Returns:

A Java Future containing the result of the StartJobRun operation returned by the service.

See Also:

AWS API Documentation

tagResourceAsync

Future<TagResourceResult> tagResourceAsync(TagResourceRequest tagResourceRequest)

Assigns tags to resources. A tag is a label that you assign to an AWS resource. Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize your AWS resources by attributes such as purpose, owner, or environment. When you have many resources of the same type, you can quickly identify a specific resource based on the tags you've assigned to it. For example, you can define a set of tags for your Amazon EMR on EKS clusters to help you track each cluster's owner and stack level. We recommend that you devise a consistent set of tag keys for each resource type. You can then search and filter the resources based on the tags that you add.

Parameters:

tagResourceRequest -

Returns:

A Java Future containing the result of the TagResource operation returned by the service.

See Also:

AWS API Documentation

tagResourceAsync

Future<TagResourceResult> tagResourceAsync(TagResourceRequest tagResourceRequest,
                                           AsyncHandler<TagResourceRequest,TagResourceResult> asyncHandler)

Assigns tags to resources. A tag is a label that you assign to an AWS resource. Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize your AWS resources by attributes such as purpose, owner, or environment. When you have many resources of the same type, you can quickly identify a specific resource based on the tags you've assigned to it. For example, you can define a set of tags for your Amazon EMR on EKS clusters to help you track each cluster's owner and stack level. We recommend that you devise a consistent set of tag keys for each resource type. You can then search and filter the resources based on the tags that you add.

Parameters:

tagResourceRequest -

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.

Returns:

A Java Future containing the result of the TagResource operation returned by the service.

See Also:

AWS API Documentation

untagResourceAsync

Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest untagResourceRequest)

Removes tags from resources.

Parameters:

untagResourceRequest -

Returns:

A Java Future containing the result of the UntagResource operation returned by the service.

See Also:

AWS API Documentation

untagResourceAsync

Future<UntagResourceResult> untagResourceAsync(UntagResourceRequest untagResourceRequest,
                                               AsyncHandler<UntagResourceRequest,UntagResourceResult> asyncHandler)

Removes tags from resources.

Parameters:

untagResourceRequest -

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.

Returns:

A Java Future containing the result of the UntagResource operation returned by the service.

See Also:

AWS API Documentation