com.amazonaws.services.emrcontainers

Class AbstractAmazonEMRContainers

java.lang.Object

com.amazonaws.services.emrcontainers.AbstractAmazonEMRContainers

All Implemented Interfaces:

AmazonEMRContainers

Direct Known Subclasses:

AbstractAmazonEMRContainersAsync

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class AbstractAmazonEMRContainers
extends Object
implements AmazonEMRContainers

Abstract implementation of AmazonEMRContainers. Convenient method forms pass through to the corresponding overload that takes a request object, which throws an UnsupportedOperationException.

Field Summary

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

ENDPOINT_PREFIX

Method Summary

Modifier and Type	Method and Description
CancelJobRunResult	cancelJobRun(CancelJobRunRequest request) Cancels a job run.
CreateManagedEndpointResult	createManagedEndpoint(CreateManagedEndpointRequest request) Creates a managed endpoint.
CreateVirtualClusterResult	createVirtualCluster(CreateVirtualClusterRequest request) Creates a virtual cluster.
DeleteManagedEndpointResult	deleteManagedEndpoint(DeleteManagedEndpointRequest request) Deletes a managed endpoint.
DeleteVirtualClusterResult	deleteVirtualCluster(DeleteVirtualClusterRequest request) Deletes a virtual cluster.
DescribeJobRunResult	describeJobRun(DescribeJobRunRequest request) Displays detailed information about a job run.
DescribeManagedEndpointResult	describeManagedEndpoint(DescribeManagedEndpointRequest request) Displays detailed information about a managed endpoint.
DescribeVirtualClusterResult	describeVirtualCluster(DescribeVirtualClusterRequest request) Displays detailed information about a specified virtual cluster.
ResponseMetadata	getCachedResponseMetadata(AmazonWebServiceRequest request) Returns additional metadata for a previously executed successful request, typically used for debugging issues where a service isn't acting as expected.
ListJobRunsResult	listJobRuns(ListJobRunsRequest request) Lists job runs based on a set of parameters.
ListManagedEndpointsResult	listManagedEndpoints(ListManagedEndpointsRequest request) Lists managed endpoints based on a set of parameters.
ListTagsForResourceResult	listTagsForResource(ListTagsForResourceRequest request) Lists the tags assigned to the resources.
ListVirtualClustersResult	listVirtualClusters(ListVirtualClustersRequest request) Lists information about the specified virtual cluster.
void	shutdown() Shuts down this client object, releasing any resources that might be held open.
StartJobRunResult	startJobRun(StartJobRunRequest request) Starts a job run.
TagResourceResult	tagResource(TagResourceRequest request) Assigns tags to resources.
UntagResourceResult	untagResource(UntagResourceRequest request) Removes tags from resources.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Method Detail

cancelJobRun

public CancelJobRunResult cancelJobRun(CancelJobRunRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

cancelJobRun in interface AmazonEMRContainers

Returns:

Result of the CancelJobRun operation returned by the service.

See Also:

AWS API Documentation

createManagedEndpoint

public CreateManagedEndpointResult createManagedEndpoint(CreateManagedEndpointRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

createManagedEndpoint in interface AmazonEMRContainers

Returns:

Result of the CreateManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

createVirtualCluster

public CreateVirtualClusterResult createVirtualCluster(CreateVirtualClusterRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

createVirtualCluster in interface AmazonEMRContainers

Returns:

Result of the CreateVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

deleteManagedEndpoint

public DeleteManagedEndpointResult deleteManagedEndpoint(DeleteManagedEndpointRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

deleteManagedEndpoint in interface AmazonEMRContainers

Returns:

Result of the DeleteManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

deleteVirtualCluster

public DeleteVirtualClusterResult deleteVirtualCluster(DeleteVirtualClusterRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

deleteVirtualCluster in interface AmazonEMRContainers

Returns:

Result of the DeleteVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

describeJobRun

public DescribeJobRunResult describeJobRun(DescribeJobRunRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

describeJobRun in interface AmazonEMRContainers

Returns:

Result of the DescribeJobRun operation returned by the service.

See Also:

AWS API Documentation

describeManagedEndpoint

public DescribeManagedEndpointResult describeManagedEndpoint(DescribeManagedEndpointRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

describeManagedEndpoint in interface AmazonEMRContainers

Returns:

Result of the DescribeManagedEndpoint operation returned by the service.

See Also:

AWS API Documentation

describeVirtualCluster

public DescribeVirtualClusterResult describeVirtualCluster(DescribeVirtualClusterRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

describeVirtualCluster in interface AmazonEMRContainers

Returns:

Result of the DescribeVirtualCluster operation returned by the service.

See Also:

AWS API Documentation

listJobRuns

public ListJobRunsResult listJobRuns(ListJobRunsRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

listJobRuns in interface AmazonEMRContainers

Returns:

Result of the ListJobRuns operation returned by the service.

See Also:

AWS API Documentation

listManagedEndpoints

public ListManagedEndpointsResult listManagedEndpoints(ListManagedEndpointsRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

listManagedEndpoints in interface AmazonEMRContainers

Returns:

Result of the ListManagedEndpoints operation returned by the service.

See Also:

AWS API Documentation

listTagsForResource

public ListTagsForResourceResult listTagsForResource(ListTagsForResourceRequest request)

Description copied from interface: AmazonEMRContainers

Lists the tags assigned to the resources.

Specified by:

listTagsForResource in interface AmazonEMRContainers

Returns:

Result of the ListTagsForResource operation returned by the service.

See Also:

AWS API Documentation

listVirtualClusters

public ListVirtualClustersResult listVirtualClusters(ListVirtualClustersRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

listVirtualClusters in interface AmazonEMRContainers

Returns:

Result of the ListVirtualClusters operation returned by the service.

See Also:

AWS API Documentation

startJobRun

public StartJobRunResult startJobRun(StartJobRunRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

startJobRun in interface AmazonEMRContainers

Returns:

Result of the StartJobRun operation returned by the service.

See Also:

AWS API Documentation

tagResource

public TagResourceResult tagResource(TagResourceRequest request)

Description copied from interface: AmazonEMRContainers

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.

Specified by:

tagResource in interface AmazonEMRContainers

Returns:

Result of the TagResource operation returned by the service.

See Also:

AWS API Documentation

untagResource

public UntagResourceResult untagResource(UntagResourceRequest request)

Description copied from interface: AmazonEMRContainers

Removes tags from resources.

Specified by:

untagResource in interface AmazonEMRContainers

Returns:

Result of the UntagResource operation returned by the service.

See Also:

AWS API Documentation

shutdown

public void shutdown()

Description copied from interface: AmazonEMRContainers

Shuts down this client object, releasing any resources that might be held open. This is an optional method, and callers are not expected to call it, but can if they want to explicitly release any open resources. Once a client has been shutdown, it should not be used to make any more requests.

Specified by:

shutdown in interface AmazonEMRContainers

getCachedResponseMetadata

public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)

Description copied from interface: AmazonEMRContainers

Returns additional metadata for a previously executed successful request, typically used for debugging issues where a service isn't acting as expected. This data isn't considered part of the result data returned by an operation, so it's available through this separate, diagnostic interface.

Response metadata is only cached for a limited period of time, so if you need to access this extra diagnostic information for an executed request, you should use this method to retrieve it as soon as possible after executing a request.

Specified by:

getCachedResponseMetadata in interface AmazonEMRContainers

Parameters:

request - The originally executed request.

Returns:

The response metadata for the specified request, or null if none is available.