@ThreadSafe @Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AmazonEMRContainersClient extends AmazonWebServiceClient implements AmazonEMRContainers
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.
LOGGING_AWS_REQUEST_METRICENDPOINT_PREFIXaddRequestHandler, addRequestHandler, configureRegion, getClientConfiguration, getEndpointPrefix, getMonitoringListeners, getRequestMetricsCollector, getServiceName, getSignerByURI, getSignerOverride, getSignerRegionOverride, getTimeOffset, makeImmutable, removeRequestHandler, removeRequestHandler, setEndpoint, setEndpoint, setRegion, setServiceNameIntern, setSignerRegionOverride, setTimeOffset, withEndpoint, withRegion, withRegion, withTimeOffsetpublic static AmazonEMRContainersClientBuilder builder()
public CancelJobRunResult cancelJobRun(CancelJobRunRequest request)
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.
cancelJobRun in interface AmazonEMRContainerscancelJobRunRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public CreateJobTemplateResult createJobTemplate(CreateJobTemplateRequest request)
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.
createJobTemplate in interface AmazonEMRContainerscreateJobTemplateRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public CreateManagedEndpointResult createManagedEndpoint(CreateManagedEndpointRequest request)
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.
createManagedEndpoint in interface AmazonEMRContainerscreateManagedEndpointRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public CreateSecurityConfigurationResult createSecurityConfiguration(CreateSecurityConfigurationRequest request)
Creates a security configuration. Security configurations in Amazon EMR on EKS are templates for different security setups. You can use security configurations to configure the Lake Formation integration setup. You can also create a security configuration to re-use a security setup each time you create a virtual cluster.
createSecurityConfiguration in interface AmazonEMRContainerscreateSecurityConfigurationRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public CreateVirtualClusterResult createVirtualCluster(CreateVirtualClusterRequest request)
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.
createVirtualCluster in interface AmazonEMRContainerscreateVirtualClusterRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.EKSRequestThrottledException - The request exceeded the Amazon EKS API operation limits.public DeleteJobTemplateResult deleteJobTemplate(DeleteJobTemplateRequest request)
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.
deleteJobTemplate in interface AmazonEMRContainersdeleteJobTemplateRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public DeleteManagedEndpointResult deleteManagedEndpoint(DeleteManagedEndpointRequest request)
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.
deleteManagedEndpoint in interface AmazonEMRContainersdeleteManagedEndpointRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public DeleteVirtualClusterResult deleteVirtualCluster(DeleteVirtualClusterRequest request)
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.
deleteVirtualCluster in interface AmazonEMRContainersdeleteVirtualClusterRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public DescribeJobRunResult describeJobRun(DescribeJobRunRequest request)
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.
describeJobRun in interface AmazonEMRContainersdescribeJobRunRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public DescribeJobTemplateResult describeJobTemplate(DescribeJobTemplateRequest request)
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.
describeJobTemplate in interface AmazonEMRContainersdescribeJobTemplateRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public DescribeManagedEndpointResult describeManagedEndpoint(DescribeManagedEndpointRequest request)
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.
describeManagedEndpoint in interface AmazonEMRContainersdescribeManagedEndpointRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public DescribeSecurityConfigurationResult describeSecurityConfiguration(DescribeSecurityConfigurationRequest request)
Displays detailed information about a specified security configuration. Security configurations in Amazon EMR on EKS are templates for different security setups. You can use security configurations to configure the Lake Formation integration setup. You can also create a security configuration to re-use a security setup each time you create a virtual cluster.
describeSecurityConfiguration in interface AmazonEMRContainersdescribeSecurityConfigurationRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public DescribeVirtualClusterResult describeVirtualCluster(DescribeVirtualClusterRequest request)
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.
describeVirtualCluster in interface AmazonEMRContainersdescribeVirtualClusterRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public GetManagedEndpointSessionCredentialsResult getManagedEndpointSessionCredentials(GetManagedEndpointSessionCredentialsRequest request)
Generate a session token to connect to a managed endpoint.
getManagedEndpointSessionCredentials in interface AmazonEMRContainersgetManagedEndpointSessionCredentialsRequest - ValidationException - There are invalid parameters in the client request.RequestThrottledException - The request throttled.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public ListJobRunsResult listJobRuns(ListJobRunsRequest request)
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.
listJobRuns in interface AmazonEMRContainerslistJobRunsRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public ListJobTemplatesResult listJobTemplates(ListJobTemplatesRequest request)
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.
listJobTemplates in interface AmazonEMRContainerslistJobTemplatesRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public ListManagedEndpointsResult listManagedEndpoints(ListManagedEndpointsRequest request)
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.
listManagedEndpoints in interface AmazonEMRContainerslistManagedEndpointsRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public ListSecurityConfigurationsResult listSecurityConfigurations(ListSecurityConfigurationsRequest request)
Lists security configurations based on a set of parameters. Security configurations in Amazon EMR on EKS are templates for different security setups. You can use security configurations to configure the Lake Formation integration setup. You can also create a security configuration to re-use a security setup each time you create a virtual cluster.
listSecurityConfigurations in interface AmazonEMRContainerslistSecurityConfigurationsRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public ListTagsForResourceResult listTagsForResource(ListTagsForResourceRequest request)
Lists the tags assigned to the resources.
listTagsForResource in interface AmazonEMRContainerslistTagsForResourceRequest - InternalServerException - This is an internal server exception.ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.public ListVirtualClustersResult listVirtualClusters(ListVirtualClustersRequest request)
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.
listVirtualClusters in interface AmazonEMRContainerslistVirtualClustersRequest - ValidationException - There are invalid parameters in the client request.InternalServerException - This is an internal server exception.public StartJobRunResult startJobRun(StartJobRunRequest request)
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.
startJobRun in interface AmazonEMRContainersstartJobRunRequest - ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.InternalServerException - This is an internal server exception.public TagResourceResult tagResource(TagResourceRequest request)
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.
tagResource in interface AmazonEMRContainerstagResourceRequest - InternalServerException - This is an internal server exception.ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.public UntagResourceResult untagResource(UntagResourceRequest request)
Removes tags from resources.
untagResource in interface AmazonEMRContainersuntagResourceRequest - InternalServerException - This is an internal server exception.ValidationException - There are invalid parameters in the client request.ResourceNotFoundException - The specified resource was not found.public ResponseMetadata getCachedResponseMetadata(AmazonWebServiceRequest request)
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 the request.
getCachedResponseMetadata in interface AmazonEMRContainersrequest - The originally executed requestpublic void shutdown()
AmazonWebServiceClientshutdown in interface AmazonEMRContainersshutdown in class AmazonWebServiceClient