paws.compute (version 0.7.0)

emrserverless: EMR Serverless

Description

Amazon EMR Serverless is a new deployment option for Amazon EMR. Amazon EMR Serverless provides a serverless runtime environment that simplifies running analytics applications using the latest open source frameworks such as Apache Spark and Apache Hive. With Amazon EMR Serverless, you don’t have to configure, optimize, secure, or operate clusters to run applications with these frameworks.

The API reference to Amazon EMR Serverless is emr-serverless. The emr-serverless prefix is used in the following scenarios:

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

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

• It is the prefix used in Amazon EMR Serverless service endpoints. For example, emr-serverless.us-east-2.amazonaws.com.

Usage

emrserverless(
  config = list(),
  credentials = list(),
  endpoint = NULL,
  region = NULL
)

Value

A client for the service. You can call the service's operations using syntax like svc$operation(...), where svc is the name you've assigned to the client. The available operations are listed in the Operations section.

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

• credentials:

  • creds:

    • access_key_id: AWS access key ID

    • secret_access_key: AWS secret access key

    • session_token: AWS temporary session token

  • profile: The name of a profile to use. If not given, then the default profile is used.

  • anonymous: Set anonymous credentials.

• endpoint: The complete URL to use for the constructed client.

• region: The AWS Region used in instantiating the client.

• close_connection: Immediately close all HTTP connections.

• timeout: The time in seconds till a timeout exception is thrown when attempting to make a connection. The default is 60 seconds.

• s3_force_path_style: Set this to true to force the request to use path-style addressing, i.e. http://s3.amazonaws.com/BUCKET/KEY.

• sts_regional_endpoint: Set sts regional endpoint resolver to regional or legacy https://docs.aws.amazon.com/sdkref/latest/guide/feature-sts-regionalized-endpoints.html

credentials

Optional credentials shorthand for the config parameter

• creds:

  • access_key_id: AWS access key ID

  • secret_access_key: AWS secret access key

  • session_token: AWS temporary session token

• profile: The name of a profile to use. If not given, then the default profile is used.

• anonymous: Set anonymous credentials.

endpoint

Optional shorthand for complete URL to use for the constructed client.

region

Optional shorthand for AWS Region used in instantiating the client.

Service syntax

svc <- emrserverless(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string",
      anonymous = "logical"
    ),
    endpoint = "string",
    region = "string",
    close_connection = "logical",
    timeout = "numeric",
    s3_force_path_style = "logical",
    sts_regional_endpoint = "string"
  ),
  credentials = list(
    creds = list(
      access_key_id = "string",
      secret_access_key = "string",
      session_token = "string"
    ),
    profile = "string",
    anonymous = "logical"
  ),
  endpoint = "string",
  region = "string"
)

Operations

cancel_job_run	Cancels a job run
create_application	Creates an application
delete_application	Deletes an application
get_application	Displays detailed information about a specified application
get_dashboard_for_job_run	Creates and returns a URL that you can use to access the application UIs for a job run
get_job_run	Displays detailed information about a job run
list_applications	Lists applications based on a set of parameters
list_job_run_attempts	Lists all attempt of a job run
list_job_runs	Lists job runs based on a set of parameters
list_tags_for_resource	Lists the tags assigned to the resources
start_application	Starts a specified application and initializes initial capacity if configured
start_job_run	Starts a job run
stop_application	Stops a specified application and releases initial capacity if configured
tag_resource	Assigns tags to resources
untag_resource	Removes tags from resources
update_application	Updates a specified application

Examples

if (FALSE) {
svc <- emrserverless()
svc$cancel_job_run(
  Foo = 123
)
}