emrserverless | R Documentation |
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
.
emrserverless(
config = list(),
credentials = list(),
endpoint = NULL,
region = NULL
)
config |
Optional configuration of credentials, endpoint, and/or region.
|
credentials |
Optional credentials shorthand for the config parameter
|
endpoint |
Optional shorthand for complete URL to use for the constructed client. |
region |
Optional shorthand for AWS Region used in instantiating the client. |
A client for the service. You can call the service's operations using
syntax like svc$operation(...)
, where svc
is the name you've assigned
to the client. The available operations are listed in the
Operations section.
svc <- emrserverless( config = list( credentials = list( creds = list( access_key_id = "string", secret_access_key = "string", session_token = "string" ), profile = "string", anonymous = "logical" ), endpoint = "string", region = "string", close_connection = "logical", timeout = "numeric", s3_force_path_style = "logical", sts_regional_endpoint = "string" ), credentials = list( creds = list( access_key_id = "string", secret_access_key = "string", session_token = "string" ), profile = "string", anonymous = "logical" ), endpoint = "string", region = "string" )
cancel_job_run | Cancels a job run |
create_application | Creates an application |
delete_application | Deletes an application |
get_application | Displays detailed information about a specified application |
get_dashboard_for_job_run | Creates and returns a URL that you can use to access the application UIs for a job run |
get_job_run | Displays detailed information about a job run |
list_applications | Lists applications based on a set of parameters |
list_job_run_attempts | Lists all attempt of a job run |
list_job_runs | Lists job runs based on a set of parameters |
list_tags_for_resource | Lists the tags assigned to the resources |
start_application | Starts a specified application and initializes initial capacity if configured |
start_job_run | Starts a job run |
stop_application | Stops a specified application and releases initial capacity if configured |
tag_resource | Assigns tags to resources |
untag_resource | Removes tags from resources |
update_application | Updates a specified application |
## Not run:
svc <- emrserverless()
svc$cancel_job_run(
Foo = 123
)
## End(Not run)
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