All Superinterfaces:: AutoCloseable, AwsClient, SdkAutoCloseable, SdkClient

@Generated("software.amazon.awssdk:codegen") @ThreadSafe public interface EmrContainersClient extends AwsClient

Service client for accessing Amazon EMR Containers. This can be created using the static builder() method.

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 EKSService Endpoints.

Field Summary

Fields

Modifier and Type

Field

Description

static final String

SERVICE_METADATA_ID

Value for looking up the service's metadata from the ServiceMetadataProvider.

static final String

SERVICE_NAME
Method Summary

Modifier and Type

Method

Description

static EmrContainersClientBuilder

builder()

Create a builder that can be used to configure and create a EmrContainersClient.

default CancelJobRunResponse

cancelJobRun(Consumer<CancelJobRunRequest.Builder> cancelJobRunRequest)

Cancels a job run.

default CancelJobRunResponse

cancelJobRun(CancelJobRunRequest cancelJobRunRequest)

Cancels a job run.

static EmrContainersClient

create()

Create a EmrContainersClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.

default CreateJobTemplateResponse

createJobTemplate(Consumer<CreateJobTemplateRequest.Builder> createJobTemplateRequest)

Creates a job template.

default CreateJobTemplateResponse

createJobTemplate(CreateJobTemplateRequest createJobTemplateRequest)

Creates a job template.

default CreateManagedEndpointResponse

createManagedEndpoint(Consumer<CreateManagedEndpointRequest.Builder> createManagedEndpointRequest)

Creates a managed endpoint.

default CreateManagedEndpointResponse

createManagedEndpoint(CreateManagedEndpointRequest createManagedEndpointRequest)

Creates a managed endpoint.

default CreateVirtualClusterResponse

createVirtualCluster(Consumer<CreateVirtualClusterRequest.Builder> createVirtualClusterRequest)

Creates a virtual cluster.

default CreateVirtualClusterResponse

createVirtualCluster(CreateVirtualClusterRequest createVirtualClusterRequest)

Creates a virtual cluster.

default DeleteJobTemplateResponse

deleteJobTemplate(Consumer<DeleteJobTemplateRequest.Builder> deleteJobTemplateRequest)

Deletes a job template.

default DeleteJobTemplateResponse

deleteJobTemplate(DeleteJobTemplateRequest deleteJobTemplateRequest)

Deletes a job template.

default DeleteManagedEndpointResponse

deleteManagedEndpoint(Consumer<DeleteManagedEndpointRequest.Builder> deleteManagedEndpointRequest)

Deletes a managed endpoint.

default DeleteManagedEndpointResponse

deleteManagedEndpoint(DeleteManagedEndpointRequest deleteManagedEndpointRequest)

Deletes a managed endpoint.

default DeleteVirtualClusterResponse

deleteVirtualCluster(Consumer<DeleteVirtualClusterRequest.Builder> deleteVirtualClusterRequest)

Deletes a virtual cluster.

default DeleteVirtualClusterResponse

deleteVirtualCluster(DeleteVirtualClusterRequest deleteVirtualClusterRequest)

Deletes a virtual cluster.

default DescribeJobRunResponse

describeJobRun(Consumer<DescribeJobRunRequest.Builder> describeJobRunRequest)

Displays detailed information about a job run.

default DescribeJobRunResponse

describeJobRun(DescribeJobRunRequest describeJobRunRequest)

Displays detailed information about a job run.

default DescribeJobTemplateResponse

describeJobTemplate(Consumer<DescribeJobTemplateRequest.Builder> describeJobTemplateRequest)

Displays detailed information about a specified job template.

default DescribeJobTemplateResponse

describeJobTemplate(DescribeJobTemplateRequest describeJobTemplateRequest)

Displays detailed information about a specified job template.

default DescribeManagedEndpointResponse

describeManagedEndpoint(Consumer<DescribeManagedEndpointRequest.Builder> describeManagedEndpointRequest)

Displays detailed information about a managed endpoint.

default DescribeManagedEndpointResponse

describeManagedEndpoint(DescribeManagedEndpointRequest describeManagedEndpointRequest)

Displays detailed information about a managed endpoint.

default DescribeVirtualClusterResponse

describeVirtualCluster(Consumer<DescribeVirtualClusterRequest.Builder> describeVirtualClusterRequest)

Displays detailed information about a specified virtual cluster.

default DescribeVirtualClusterResponse

describeVirtualCluster(DescribeVirtualClusterRequest describeVirtualClusterRequest)

Displays detailed information about a specified virtual cluster.

default GetManagedEndpointSessionCredentialsResponse

getManagedEndpointSessionCredentials(Consumer<GetManagedEndpointSessionCredentialsRequest.Builder> getManagedEndpointSessionCredentialsRequest)

Generate a session token to connect to a managed endpoint.

default GetManagedEndpointSessionCredentialsResponse

getManagedEndpointSessionCredentials(GetManagedEndpointSessionCredentialsRequest getManagedEndpointSessionCredentialsRequest)

Generate a session token to connect to a managed endpoint.

default ListJobRunsResponse

listJobRuns(Consumer<ListJobRunsRequest.Builder> listJobRunsRequest)

Lists job runs based on a set of parameters.

default ListJobRunsResponse

listJobRuns(ListJobRunsRequest listJobRunsRequest)

Lists job runs based on a set of parameters.

default ListJobRunsIterable

listJobRunsPaginator(Consumer<ListJobRunsRequest.Builder> listJobRunsRequest)

This is a variant of listJobRuns(software.amazon.awssdk.services.emrcontainers.model.ListJobRunsRequest) operation.

default ListJobRunsIterable

listJobRunsPaginator(ListJobRunsRequest listJobRunsRequest)

This is a variant of listJobRuns(software.amazon.awssdk.services.emrcontainers.model.ListJobRunsRequest) operation.

default ListJobTemplatesResponse

listJobTemplates(Consumer<ListJobTemplatesRequest.Builder> listJobTemplatesRequest)

Lists job templates based on a set of parameters.

default ListJobTemplatesResponse

listJobTemplates(ListJobTemplatesRequest listJobTemplatesRequest)

Lists job templates based on a set of parameters.

default ListJobTemplatesIterable

listJobTemplatesPaginator(Consumer<ListJobTemplatesRequest.Builder> listJobTemplatesRequest)

This is a variant of listJobTemplates(software.amazon.awssdk.services.emrcontainers.model.ListJobTemplatesRequest) operation.

default ListJobTemplatesIterable

listJobTemplatesPaginator(ListJobTemplatesRequest listJobTemplatesRequest)

This is a variant of listJobTemplates(software.amazon.awssdk.services.emrcontainers.model.ListJobTemplatesRequest) operation.

default ListManagedEndpointsResponse

listManagedEndpoints(Consumer<ListManagedEndpointsRequest.Builder> listManagedEndpointsRequest)

Lists managed endpoints based on a set of parameters.

default ListManagedEndpointsResponse

listManagedEndpoints(ListManagedEndpointsRequest listManagedEndpointsRequest)

Lists managed endpoints based on a set of parameters.

default ListManagedEndpointsIterable

listManagedEndpointsPaginator(Consumer<ListManagedEndpointsRequest.Builder> listManagedEndpointsRequest)

This is a variant of listManagedEndpoints(software.amazon.awssdk.services.emrcontainers.model.ListManagedEndpointsRequest) operation.

default ListManagedEndpointsIterable

listManagedEndpointsPaginator(ListManagedEndpointsRequest listManagedEndpointsRequest)

This is a variant of listManagedEndpoints(software.amazon.awssdk.services.emrcontainers.model.ListManagedEndpointsRequest) operation.

default ListTagsForResourceResponse

listTagsForResource(Consumer<ListTagsForResourceRequest.Builder> listTagsForResourceRequest)

Lists the tags assigned to the resources.

default ListTagsForResourceResponse

listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest)

Lists the tags assigned to the resources.

default ListVirtualClustersResponse

listVirtualClusters(Consumer<ListVirtualClustersRequest.Builder> listVirtualClustersRequest)

Lists information about the specified virtual cluster.

default ListVirtualClustersResponse

listVirtualClusters(ListVirtualClustersRequest listVirtualClustersRequest)

Lists information about the specified virtual cluster.

default ListVirtualClustersIterable

listVirtualClustersPaginator(Consumer<ListVirtualClustersRequest.Builder> listVirtualClustersRequest)

This is a variant of listVirtualClusters(software.amazon.awssdk.services.emrcontainers.model.ListVirtualClustersRequest) operation.

default ListVirtualClustersIterable

listVirtualClustersPaginator(ListVirtualClustersRequest listVirtualClustersRequest)

This is a variant of listVirtualClusters(software.amazon.awssdk.services.emrcontainers.model.ListVirtualClustersRequest) operation.

default EmrContainersServiceClientConfiguration

serviceClientConfiguration()

The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration

static ServiceMetadata

serviceMetadata()

default StartJobRunResponse

startJobRun(Consumer<StartJobRunRequest.Builder> startJobRunRequest)

Starts a job run.

default StartJobRunResponse

startJobRun(StartJobRunRequest startJobRunRequest)

Starts a job run.

default TagResourceResponse

tagResource(Consumer<TagResourceRequest.Builder> tagResourceRequest)

Assigns tags to resources.

default TagResourceResponse

tagResource(TagResourceRequest tagResourceRequest)

Assigns tags to resources.

default UntagResourceResponse

untagResource(Consumer<UntagResourceRequest.Builder> untagResourceRequest)

Removes tags from resources.

default UntagResourceResponse

untagResource(UntagResourceRequest untagResourceRequest)

Removes tags from resources.

Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable
close

Methods inherited from interface software.amazon.awssdk.core.SdkClient
serviceName

Field Details
- SERVICE_NAME
  
  static final String SERVICE_NAME
  See Also:
  
  Constant Field Values
- SERVICE_METADATA_ID
  
  static final String SERVICE_METADATA_ID
  
  Value for looking up the service's metadata from the ServiceMetadataProvider.
  See Also:
  
  Constant Field Values
Method Details
- cancelJobRun
  
  default CancelJobRunResponse cancelJobRun(CancelJobRunRequest cancelJobRunRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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:
  
  Result of the CancelJobRun operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- cancelJobRun
  
  default CancelJobRunResponse cancelJobRun(Consumer<CancelJobRunRequest.Builder> cancelJobRunRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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.
  
  This is a convenience which creates an instance of the CancelJobRunRequest.Builder avoiding the need to create one manually via CancelJobRunRequest.builder()
  Parameters:
  
  cancelJobRunRequest - A Consumer that will call methods on CancelJobRunRequest.Builder to create a request.
  
  Returns:
  
  Result of the CancelJobRun operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createJobTemplate
  
  default CreateJobTemplateResponse createJobTemplate(CreateJobTemplateRequest createJobTemplateRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Creates a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
  Parameters:
  
  createJobTemplateRequest -
  
  Returns:
  
  Result of the CreateJobTemplate operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createJobTemplate
  
  default CreateJobTemplateResponse createJobTemplate(Consumer<CreateJobTemplateRequest.Builder> createJobTemplateRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Creates a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
  
  This is a convenience which creates an instance of the CreateJobTemplateRequest.Builder avoiding the need to create one manually via CreateJobTemplateRequest.builder()
  Parameters:
  
  createJobTemplateRequest - A Consumer that will call methods on CreateJobTemplateRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateJobTemplate operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createManagedEndpoint
  
  default CreateManagedEndpointResponse createManagedEndpoint(CreateManagedEndpointRequest createManagedEndpointRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Creates a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
  Parameters:
  
  createManagedEndpointRequest -
  
  Returns:
  
  Result of the CreateManagedEndpoint operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createManagedEndpoint
  
  default CreateManagedEndpointResponse createManagedEndpoint(Consumer<CreateManagedEndpointRequest.Builder> createManagedEndpointRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Creates a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
  
  This is a convenience which creates an instance of the CreateManagedEndpointRequest.Builder avoiding the need to create one manually via CreateManagedEndpointRequest.builder()
  Parameters:
  
  createManagedEndpointRequest - A Consumer that will call methods on CreateManagedEndpointRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateManagedEndpoint operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createVirtualCluster
  
  default CreateVirtualClusterResponse createVirtualCluster(CreateVirtualClusterRequest createVirtualClusterRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, EksRequestThrottledException, AwsServiceException, SdkClientException, EmrContainersException
  
  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:
  
  Result of the CreateVirtualCluster operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- createVirtualCluster
  
  default CreateVirtualClusterResponse createVirtualCluster(Consumer<CreateVirtualClusterRequest.Builder> createVirtualClusterRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, EksRequestThrottledException, AwsServiceException, SdkClientException, EmrContainersException
  
  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.
  
  This is a convenience which creates an instance of the CreateVirtualClusterRequest.Builder avoiding the need to create one manually via CreateVirtualClusterRequest.builder()
  Parameters:
  
  createVirtualClusterRequest - A Consumer that will call methods on CreateVirtualClusterRequest.Builder to create a request.
  
  Returns:
  
  Result of the CreateVirtualCluster operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteJobTemplate
  
  default DeleteJobTemplateResponse deleteJobTemplate(DeleteJobTemplateRequest deleteJobTemplateRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Deletes a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
  Parameters:
  
  deleteJobTemplateRequest -
  
  Returns:
  
  Result of the DeleteJobTemplate operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteJobTemplate
  
  default DeleteJobTemplateResponse deleteJobTemplate(Consumer<DeleteJobTemplateRequest.Builder> deleteJobTemplateRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Deletes a job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
  
  This is a convenience which creates an instance of the DeleteJobTemplateRequest.Builder avoiding the need to create one manually via DeleteJobTemplateRequest.builder()
  Parameters:
  
  deleteJobTemplateRequest - A Consumer that will call methods on DeleteJobTemplateRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteJobTemplate operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteManagedEndpoint
  
  default DeleteManagedEndpointResponse deleteManagedEndpoint(DeleteManagedEndpointRequest deleteManagedEndpointRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Deletes a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
  Parameters:
  
  deleteManagedEndpointRequest -
  
  Returns:
  
  Result of the DeleteManagedEndpoint operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteManagedEndpoint
  
  default DeleteManagedEndpointResponse deleteManagedEndpoint(Consumer<DeleteManagedEndpointRequest.Builder> deleteManagedEndpointRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Deletes a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
  
  This is a convenience which creates an instance of the DeleteManagedEndpointRequest.Builder avoiding the need to create one manually via DeleteManagedEndpointRequest.builder()
  Parameters:
  
  deleteManagedEndpointRequest - A Consumer that will call methods on DeleteManagedEndpointRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteManagedEndpoint operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteVirtualCluster
  
  default DeleteVirtualClusterResponse deleteVirtualCluster(DeleteVirtualClusterRequest deleteVirtualClusterRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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:
  
  Result of the DeleteVirtualCluster operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- deleteVirtualCluster
  
  default DeleteVirtualClusterResponse deleteVirtualCluster(Consumer<DeleteVirtualClusterRequest.Builder> deleteVirtualClusterRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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.
  
  This is a convenience which creates an instance of the DeleteVirtualClusterRequest.Builder avoiding the need to create one manually via DeleteVirtualClusterRequest.builder()
  Parameters:
  
  deleteVirtualClusterRequest - A Consumer that will call methods on DeleteVirtualClusterRequest.Builder to create a request.
  
  Returns:
  
  Result of the DeleteVirtualCluster operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeJobRun
  
  default DescribeJobRunResponse describeJobRun(DescribeJobRunRequest describeJobRunRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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:
  
  Result of the DescribeJobRun operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeJobRun
  
  default DescribeJobRunResponse describeJobRun(Consumer<DescribeJobRunRequest.Builder> describeJobRunRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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.
  
  This is a convenience which creates an instance of the DescribeJobRunRequest.Builder avoiding the need to create one manually via DescribeJobRunRequest.builder()
  Parameters:
  
  describeJobRunRequest - A Consumer that will call methods on DescribeJobRunRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeJobRun operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeJobTemplate
  
  default DescribeJobTemplateResponse describeJobTemplate(DescribeJobTemplateRequest describeJobTemplateRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Displays detailed information about a specified job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
  Parameters:
  
  describeJobTemplateRequest -
  
  Returns:
  
  Result of the DescribeJobTemplate operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeJobTemplate
  
  default DescribeJobTemplateResponse describeJobTemplate(Consumer<DescribeJobTemplateRequest.Builder> describeJobTemplateRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Displays detailed information about a specified job template. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
  
  This is a convenience which creates an instance of the DescribeJobTemplateRequest.Builder avoiding the need to create one manually via DescribeJobTemplateRequest.builder()
  Parameters:
  
  describeJobTemplateRequest - A Consumer that will call methods on DescribeJobTemplateRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeJobTemplate operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeManagedEndpoint
  
  default DescribeManagedEndpointResponse describeManagedEndpoint(DescribeManagedEndpointRequest describeManagedEndpointRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Displays detailed information about a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
  Parameters:
  
  describeManagedEndpointRequest -
  
  Returns:
  
  Result of the DescribeManagedEndpoint operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeManagedEndpoint
  
  default DescribeManagedEndpointResponse describeManagedEndpoint(Consumer<DescribeManagedEndpointRequest.Builder> describeManagedEndpointRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Displays detailed information about a managed endpoint. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
  
  This is a convenience which creates an instance of the DescribeManagedEndpointRequest.Builder avoiding the need to create one manually via DescribeManagedEndpointRequest.builder()
  Parameters:
  
  describeManagedEndpointRequest - A Consumer that will call methods on DescribeManagedEndpointRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeManagedEndpoint operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeVirtualCluster
  
  default DescribeVirtualClusterResponse describeVirtualCluster(DescribeVirtualClusterRequest describeVirtualClusterRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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:
  
  Result of the DescribeVirtualCluster operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- describeVirtualCluster
  
  default DescribeVirtualClusterResponse describeVirtualCluster(Consumer<DescribeVirtualClusterRequest.Builder> describeVirtualClusterRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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.
  
  This is a convenience which creates an instance of the DescribeVirtualClusterRequest.Builder avoiding the need to create one manually via DescribeVirtualClusterRequest.builder()
  Parameters:
  
  describeVirtualClusterRequest - A Consumer that will call methods on DescribeVirtualClusterRequest.Builder to create a request.
  
  Returns:
  
  Result of the DescribeVirtualCluster operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- getManagedEndpointSessionCredentials
  
  default GetManagedEndpointSessionCredentialsResponse getManagedEndpointSessionCredentials(GetManagedEndpointSessionCredentialsRequest getManagedEndpointSessionCredentialsRequest) throws ValidationException, RequestThrottledException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Generate a session token to connect to a managed endpoint.
  Parameters:
  
  getManagedEndpointSessionCredentialsRequest -
  
  Returns:
  
  Result of the GetManagedEndpointSessionCredentials operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- getManagedEndpointSessionCredentials
  
  default GetManagedEndpointSessionCredentialsResponse getManagedEndpointSessionCredentials(Consumer<GetManagedEndpointSessionCredentialsRequest.Builder> getManagedEndpointSessionCredentialsRequest) throws ValidationException, RequestThrottledException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Generate a session token to connect to a managed endpoint.
  
  This is a convenience which creates an instance of the GetManagedEndpointSessionCredentialsRequest.Builder avoiding the need to create one manually via GetManagedEndpointSessionCredentialsRequest.builder()
  Parameters:
  
  getManagedEndpointSessionCredentialsRequest - A Consumer that will call methods on GetManagedEndpointSessionCredentialsRequest.Builder to create a request.
  
  Returns:
  
  Result of the GetManagedEndpointSessionCredentials operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listJobRuns
  
  default ListJobRunsResponse listJobRuns(ListJobRunsRequest listJobRunsRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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:
  
  Result of the ListJobRuns operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listJobRuns
  
  default ListJobRunsResponse listJobRuns(Consumer<ListJobRunsRequest.Builder> listJobRunsRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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.
  
  This is a convenience which creates an instance of the ListJobRunsRequest.Builder avoiding the need to create one manually via ListJobRunsRequest.builder()
  Parameters:
  
  listJobRunsRequest - A Consumer that will call methods on ListJobRunsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListJobRuns operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listJobRunsPaginator
  
  default ListJobRunsIterable listJobRunsPaginator(ListJobRunsRequest listJobRunsRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  This is a variant of listJobRuns(software.amazon.awssdk.services.emrcontainers.model.ListJobRunsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.emrcontainers.paginators.ListJobRunsIterable responses = client.listJobRunsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.emrcontainers.paginators.ListJobRunsIterable responses = client.listJobRunsPaginator(request); for (software.amazon.awssdk.services.emrcontainers.model.ListJobRunsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.emrcontainers.paginators.ListJobRunsIterable responses = client.listJobRunsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of maxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listJobRuns(software.amazon.awssdk.services.emrcontainers.model.ListJobRunsRequest) operation.
  Parameters:
  
  listJobRunsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listJobRunsPaginator
  
  default ListJobRunsIterable listJobRunsPaginator(Consumer<ListJobRunsRequest.Builder> listJobRunsRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  This is a variant of listJobRuns(software.amazon.awssdk.services.emrcontainers.model.ListJobRunsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.emrcontainers.paginators.ListJobRunsIterable responses = client.listJobRunsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.emrcontainers.paginators.ListJobRunsIterable responses = client.listJobRunsPaginator(request); for (software.amazon.awssdk.services.emrcontainers.model.ListJobRunsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.emrcontainers.paginators.ListJobRunsIterable responses = client.listJobRunsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of maxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listJobRuns(software.amazon.awssdk.services.emrcontainers.model.ListJobRunsRequest) operation.
  
  This is a convenience which creates an instance of the ListJobRunsRequest.Builder avoiding the need to create one manually via ListJobRunsRequest.builder()
  Parameters:
  
  listJobRunsRequest - A Consumer that will call methods on ListJobRunsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listJobTemplates
  
  default ListJobTemplatesResponse listJobTemplates(ListJobTemplatesRequest listJobTemplatesRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Lists job templates based on a set of parameters. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
  Parameters:
  
  listJobTemplatesRequest -
  
  Returns:
  
  Result of the ListJobTemplates operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listJobTemplates
  
  default ListJobTemplatesResponse listJobTemplates(Consumer<ListJobTemplatesRequest.Builder> listJobTemplatesRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Lists job templates based on a set of parameters. Job template stores values of StartJobRun API request in a template and can be used to start a job run. Job template allows two use cases: avoid repeating recurring StartJobRun API request values, enforcing certain values in StartJobRun API request.
  
  This is a convenience which creates an instance of the ListJobTemplatesRequest.Builder avoiding the need to create one manually via ListJobTemplatesRequest.builder()
  Parameters:
  
  listJobTemplatesRequest - A Consumer that will call methods on ListJobTemplatesRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListJobTemplates operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listJobTemplatesPaginator
  
  default ListJobTemplatesIterable listJobTemplatesPaginator(ListJobTemplatesRequest listJobTemplatesRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  This is a variant of listJobTemplates(software.amazon.awssdk.services.emrcontainers.model.ListJobTemplatesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.emrcontainers.paginators.ListJobTemplatesIterable responses = client.listJobTemplatesPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.emrcontainers.paginators.ListJobTemplatesIterable responses = client .listJobTemplatesPaginator(request); for (software.amazon.awssdk.services.emrcontainers.model.ListJobTemplatesResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.emrcontainers.paginators.ListJobTemplatesIterable responses = client.listJobTemplatesPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of maxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listJobTemplates(software.amazon.awssdk.services.emrcontainers.model.ListJobTemplatesRequest) operation.
  Parameters:
  
  listJobTemplatesRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listJobTemplatesPaginator
  
  default ListJobTemplatesIterable listJobTemplatesPaginator(Consumer<ListJobTemplatesRequest.Builder> listJobTemplatesRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  This is a variant of listJobTemplates(software.amazon.awssdk.services.emrcontainers.model.ListJobTemplatesRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.emrcontainers.paginators.ListJobTemplatesIterable responses = client.listJobTemplatesPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.emrcontainers.paginators.ListJobTemplatesIterable responses = client .listJobTemplatesPaginator(request); for (software.amazon.awssdk.services.emrcontainers.model.ListJobTemplatesResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.emrcontainers.paginators.ListJobTemplatesIterable responses = client.listJobTemplatesPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of maxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listJobTemplates(software.amazon.awssdk.services.emrcontainers.model.ListJobTemplatesRequest) operation.
  
  This is a convenience which creates an instance of the ListJobTemplatesRequest.Builder avoiding the need to create one manually via ListJobTemplatesRequest.builder()
  Parameters:
  
  listJobTemplatesRequest - A Consumer that will call methods on ListJobTemplatesRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listManagedEndpoints
  
  default ListManagedEndpointsResponse listManagedEndpoints(ListManagedEndpointsRequest listManagedEndpointsRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Lists managed endpoints based on a set of parameters. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
  Parameters:
  
  listManagedEndpointsRequest -
  
  Returns:
  
  Result of the ListManagedEndpoints operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listManagedEndpoints
  
  default ListManagedEndpointsResponse listManagedEndpoints(Consumer<ListManagedEndpointsRequest.Builder> listManagedEndpointsRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  Lists managed endpoints based on a set of parameters. A managed endpoint is a gateway that connects Amazon EMR Studio to Amazon EMR on EKS so that Amazon EMR Studio can communicate with your virtual cluster.
  
  This is a convenience which creates an instance of the ListManagedEndpointsRequest.Builder avoiding the need to create one manually via ListManagedEndpointsRequest.builder()
  Parameters:
  
  listManagedEndpointsRequest - A Consumer that will call methods on ListManagedEndpointsRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListManagedEndpoints operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listManagedEndpointsPaginator
  
  default ListManagedEndpointsIterable listManagedEndpointsPaginator(ListManagedEndpointsRequest listManagedEndpointsRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  This is a variant of listManagedEndpoints(software.amazon.awssdk.services.emrcontainers.model.ListManagedEndpointsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.emrcontainers.paginators.ListManagedEndpointsIterable responses = client.listManagedEndpointsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.emrcontainers.paginators.ListManagedEndpointsIterable responses = client .listManagedEndpointsPaginator(request); for (software.amazon.awssdk.services.emrcontainers.model.ListManagedEndpointsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.emrcontainers.paginators.ListManagedEndpointsIterable responses = client.listManagedEndpointsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of maxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listManagedEndpoints(software.amazon.awssdk.services.emrcontainers.model.ListManagedEndpointsRequest) operation.
  Parameters:
  
  listManagedEndpointsRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listManagedEndpointsPaginator
  
  default ListManagedEndpointsIterable listManagedEndpointsPaginator(Consumer<ListManagedEndpointsRequest.Builder> listManagedEndpointsRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  This is a variant of listManagedEndpoints(software.amazon.awssdk.services.emrcontainers.model.ListManagedEndpointsRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.emrcontainers.paginators.ListManagedEndpointsIterable responses = client.listManagedEndpointsPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.emrcontainers.paginators.ListManagedEndpointsIterable responses = client .listManagedEndpointsPaginator(request); for (software.amazon.awssdk.services.emrcontainers.model.ListManagedEndpointsResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.emrcontainers.paginators.ListManagedEndpointsIterable responses = client.listManagedEndpointsPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of maxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listManagedEndpoints(software.amazon.awssdk.services.emrcontainers.model.ListManagedEndpointsRequest) operation.
  
  This is a convenience which creates an instance of the ListManagedEndpointsRequest.Builder avoiding the need to create one manually via ListManagedEndpointsRequest.builder()
  Parameters:
  
  listManagedEndpointsRequest - A Consumer that will call methods on ListManagedEndpointsRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listTagsForResource
  
  default ListTagsForResourceResponse listTagsForResource(ListTagsForResourceRequest listTagsForResourceRequest) throws InternalServerException, ValidationException, ResourceNotFoundException, AwsServiceException, SdkClientException, EmrContainersException
  
  Lists the tags assigned to the resources.
  Parameters:
  
  listTagsForResourceRequest -
  
  Returns:
  
  Result of the ListTagsForResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listTagsForResource
  
  default ListTagsForResourceResponse listTagsForResource(Consumer<ListTagsForResourceRequest.Builder> listTagsForResourceRequest) throws InternalServerException, ValidationException, ResourceNotFoundException, AwsServiceException, SdkClientException, EmrContainersException
  
  Lists the tags assigned to the resources.
  
  This is a convenience which creates an instance of the ListTagsForResourceRequest.Builder avoiding the need to create one manually via ListTagsForResourceRequest.builder()
  Parameters:
  
  listTagsForResourceRequest - A Consumer that will call methods on ListTagsForResourceRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListTagsForResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listVirtualClusters
  
  default ListVirtualClustersResponse listVirtualClusters(ListVirtualClustersRequest listVirtualClustersRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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:
  
  Result of the ListVirtualClusters operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listVirtualClusters
  
  default ListVirtualClustersResponse listVirtualClusters(Consumer<ListVirtualClustersRequest.Builder> listVirtualClustersRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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.
  
  This is a convenience which creates an instance of the ListVirtualClustersRequest.Builder avoiding the need to create one manually via ListVirtualClustersRequest.builder()
  Parameters:
  
  listVirtualClustersRequest - A Consumer that will call methods on ListVirtualClustersRequest.Builder to create a request.
  
  Returns:
  
  Result of the ListVirtualClusters operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- listVirtualClustersPaginator
  
  default ListVirtualClustersIterable listVirtualClustersPaginator(ListVirtualClustersRequest listVirtualClustersRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  This is a variant of listVirtualClusters(software.amazon.awssdk.services.emrcontainers.model.ListVirtualClustersRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.emrcontainers.paginators.ListVirtualClustersIterable responses = client.listVirtualClustersPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.emrcontainers.paginators.ListVirtualClustersIterable responses = client .listVirtualClustersPaginator(request); for (software.amazon.awssdk.services.emrcontainers.model.ListVirtualClustersResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.emrcontainers.paginators.ListVirtualClustersIterable responses = client.listVirtualClustersPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of maxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listVirtualClusters(software.amazon.awssdk.services.emrcontainers.model.ListVirtualClustersRequest) operation.
  Parameters:
  
  listVirtualClustersRequest -
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- listVirtualClustersPaginator
  
  default ListVirtualClustersIterable listVirtualClustersPaginator(Consumer<ListVirtualClustersRequest.Builder> listVirtualClustersRequest) throws ValidationException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  This is a variant of listVirtualClusters(software.amazon.awssdk.services.emrcontainers.model.ListVirtualClustersRequest) operation. The return type is a custom iterable that can be used to iterate through all the pages. SDK will internally handle making service calls for you.
  
  When this operation is called, a custom iterable is returned but no service calls are made yet. So there is no guarantee that the request is valid. As you iterate through the iterable, SDK will start lazily loading response pages by making service calls until there are no pages left or your iteration stops. If there are errors in your request, you will see the failures only after you start iterating through the iterable.
  
  The following are few ways to iterate through the response pages:
  1) Using a Stream
  software.amazon.awssdk.services.emrcontainers.paginators.ListVirtualClustersIterable responses = client.listVirtualClustersPaginator(request); responses.stream().forEach(....);
  2) Using For loop
  { @code software.amazon.awssdk.services.emrcontainers.paginators.ListVirtualClustersIterable responses = client .listVirtualClustersPaginator(request); for (software.amazon.awssdk.services.emrcontainers.model.ListVirtualClustersResponse response : responses) { // do something; } }
  3) Use iterator directly
  software.amazon.awssdk.services.emrcontainers.paginators.ListVirtualClustersIterable responses = client.listVirtualClustersPaginator(request); responses.iterator().forEachRemaining(....);
  
  Please notice that the configuration of maxResults won't limit the number of results you get with the paginator. It only limits the number of results in each page.
  
  Note: If you prefer to have control on service calls, use the listVirtualClusters(software.amazon.awssdk.services.emrcontainers.model.ListVirtualClustersRequest) operation.
  
  This is a convenience which creates an instance of the ListVirtualClustersRequest.Builder avoiding the need to create one manually via ListVirtualClustersRequest.builder()
  Parameters:
  
  listVirtualClustersRequest - A Consumer that will call methods on ListVirtualClustersRequest.Builder to create a request.
  
  Returns:
  
  A custom iterable that can be used to iterate through all the response pages.
  
  See Also:
  
  AWS API Documentation
- startJobRun
  
  default StartJobRunResponse startJobRun(StartJobRunRequest startJobRunRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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:
  
  Result of the StartJobRun operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- startJobRun
  
  default StartJobRunResponse startJobRun(Consumer<StartJobRunRequest.Builder> startJobRunRequest) throws ValidationException, ResourceNotFoundException, InternalServerException, AwsServiceException, SdkClientException, EmrContainersException
  
  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.
  
  This is a convenience which creates an instance of the StartJobRunRequest.Builder avoiding the need to create one manually via StartJobRunRequest.builder()
  Parameters:
  
  startJobRunRequest - A Consumer that will call methods on StartJobRunRequest.Builder to create a request.
  
  Returns:
  
  Result of the StartJobRun operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- tagResource
  
  default TagResourceResponse tagResource(TagResourceRequest tagResourceRequest) throws InternalServerException, ValidationException, ResourceNotFoundException, AwsServiceException, SdkClientException, EmrContainersException
  
  Assigns tags to resources. A tag is a label that you assign to an Amazon Web Services resource. Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize your Amazon Web Services 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:
  
  Result of the TagResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- tagResource
  
  default TagResourceResponse tagResource(Consumer<TagResourceRequest.Builder> tagResourceRequest) throws InternalServerException, ValidationException, ResourceNotFoundException, AwsServiceException, SdkClientException, EmrContainersException
  
  Assigns tags to resources. A tag is a label that you assign to an Amazon Web Services resource. Each tag consists of a key and an optional value, both of which you define. Tags enable you to categorize your Amazon Web Services 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.
  
  This is a convenience which creates an instance of the TagResourceRequest.Builder avoiding the need to create one manually via TagResourceRequest.builder()
  Parameters:
  
  tagResourceRequest - A Consumer that will call methods on TagResourceRequest.Builder to create a request.
  
  Returns:
  
  Result of the TagResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- untagResource
  
  default UntagResourceResponse untagResource(UntagResourceRequest untagResourceRequest) throws InternalServerException, ValidationException, ResourceNotFoundException, AwsServiceException, SdkClientException, EmrContainersException
  
  Removes tags from resources.
  Parameters:
  
  untagResourceRequest -
  
  Returns:
  
  Result of the UntagResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- untagResource
  
  default UntagResourceResponse untagResource(Consumer<UntagResourceRequest.Builder> untagResourceRequest) throws InternalServerException, ValidationException, ResourceNotFoundException, AwsServiceException, SdkClientException, EmrContainersException
  
  Removes tags from resources.
  
  This is a convenience which creates an instance of the UntagResourceRequest.Builder avoiding the need to create one manually via UntagResourceRequest.builder()
  Parameters:
  
  untagResourceRequest - A Consumer that will call methods on UntagResourceRequest.Builder to create a request.
  
  Returns:
  
  Result of the UntagResource operation returned by the service.
  
  See Also:
  
  AWS API Documentation
- create
  
  static EmrContainersClient create()
  
  Create a EmrContainersClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.
- builder
  
  static EmrContainersClientBuilder builder()
  
  Create a builder that can be used to configure and create a EmrContainersClient.
- serviceMetadata
  
  static ServiceMetadata serviceMetadata()
- serviceClientConfiguration
  
  default EmrContainersServiceClientConfiguration serviceClientConfiguration()
  
  Description copied from interface: SdkClient
  
  The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration
  
  Specified by:
  
  serviceClientConfiguration in interface AwsClient
  
  Specified by:
  
  serviceClientConfiguration in interface SdkClient
  
  Returns:
  
  SdkServiceClientConfiguration

Interface EmrContainersClient

Field Summary

Method Summary

Methods inherited from interface software.amazon.awssdk.utils.SdkAutoCloseable

Methods inherited from interface software.amazon.awssdk.core.SdkClient

Field Details

SERVICE_NAME

SERVICE_METADATA_ID

Method Details

cancelJobRun

cancelJobRun

createJobTemplate

createJobTemplate

createManagedEndpoint

createManagedEndpoint

createVirtualCluster

createVirtualCluster

deleteJobTemplate

deleteJobTemplate

deleteManagedEndpoint

deleteManagedEndpoint

deleteVirtualCluster

deleteVirtualCluster

describeJobRun

describeJobRun

describeJobTemplate

describeJobTemplate

describeManagedEndpoint

describeManagedEndpoint

describeVirtualCluster

describeVirtualCluster

getManagedEndpointSessionCredentials

getManagedEndpointSessionCredentials

listJobRuns

listJobRuns

listJobRunsPaginator

listJobRunsPaginator

listJobTemplates

listJobTemplates

listJobTemplatesPaginator

listJobTemplatesPaginator

listManagedEndpoints

listManagedEndpoints

listManagedEndpointsPaginator

listManagedEndpointsPaginator

listTagsForResource

listTagsForResource

listVirtualClusters

listVirtualClusters

listVirtualClustersPaginator

listVirtualClustersPaginator

startJobRun

startJobRun

tagResource

tagResource

untagResource

untagResource

create

builder

serviceMetadata

serviceClientConfiguration