(constructor)

[configuration]

Constructs a new instance of the <code>EMRContainersClient</code> class

config

The resolved configuration of EMRContainersClient class. This is resolved and normalized from the [constructor configuration interface](@aws-sdk/client-emr-containers!EMRContainersClientConfig:Interface).

destroy

Destroy underlying resources, like sockets. It's usually not necessary to do this. However in Node.js, it's best to explicitly shut down the client's agent when it is no longer needed. Otherwise, sockets might stay open for quite a long time before the server terminates them.

middlewareStack

send

command

options

EMRContainersClient

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 <a href="https://docs.aws.amazon.com/emr/latest/EMR-on-EKS-DevelopmentGuide/emr-eks.html">What is Amazon EMR on EKS</a>. Amazon EMR containers is the API name for Amazon EMR on EKS. The <code>emr-containers</code> prefix is used in the following scenarios: <ul> <li> It is the prefix in the CLI commands for Amazon EMR on EKS. For example, <code>aws emr-containers start-job-run</code>. </li> <li> It is the prefix before IAM policy actions for Amazon EMR on EKS. For example, <code>"Action": [ "emr-containers:StartJobRun"]</code>. For more information, see <a href="https://docs.aws.amazon.com/emr/latest/EMR-on-EKS-DevelopmentGuide/security_iam_service-with-iam.html#security_iam_service-with-iam-id-based-policies-actions">Policy actions for Amazon EMR on EKS</a>. </li> <li> It is the prefix used in Amazon EMR on EKS service endpoints. For example, <code>emr-containers.us-east-2.amazonaws.com</code>. For more information, see <a href="https://docs.aws.amazon.com/emr/latest/EMR-on-EKS-DevelopmentGuide/service-quotas.html#service-endpoints">Amazon EMR on EKSService Endpoints</a>. </li> </ul>

defaultsMode

The [@smithy/smithy-client#DefaultsMode](@smithy/smithy-client!DefaultsMode:type) that will be used to determine how certain default configuration options are resolved in the SDK.

disableHostPrefix

Disable dynamically changing the endpoint of the client based on the hostPrefix trait of an operation.

extensions

logger

Optional logger for logging debug/info/warn/error.

maxAttempts

Value for how many times a request will be made at most in case of retry.

region

The AWS region to which this client will send requests

requestHandler

The HTTP handler to use or its constructor options. Fetch in browser and Https in Nodejs.

retryMode

useDualstackEndpoint

useFipsEndpoint

ClientDefaults

CancelJobRunCommand

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.

CreateJobTemplateCommand

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.

CreateManagedEndpointCommand

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.

CreateSecurityConfigurationCommand

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.

CreateVirtualClusterCommand

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.

DeleteJobTemplateCommand

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.

DeleteManagedEndpointCommand

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.

DeleteVirtualClusterCommand

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.

DescribeJobRunCommand

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.

DescribeJobTemplateCommand

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.

DescribeManagedEndpointCommand

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.

DescribeSecurityConfigurationCommand

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.

DescribeVirtualClusterCommand

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.

GetManagedEndpointSessionCredentialsCommand

Generate a session token to connect to a managed endpoint.

ListJobRunsCommand

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.

ListJobTemplatesCommand

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.

ListManagedEndpointsCommand

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.

ListSecurityConfigurationsCommand

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.

ListTagsForResourceCommand

Lists the tags assigned to the resources.

ListVirtualClustersCommand

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.

StartJobRunCommand

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.

TagResourceCommand

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.