StartJobRun - E-MapReduce - Alibaba Cloud Documentation Center

Starts a Spark Job.

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Test

RAM authorization

The table below describes the authorization required to call this API. You can define it in a Resource Access Management (RAM) policy. The table's columns are detailed below:

Action: The actions can be used in the Action element of RAM permission policy statements to grant permissions to perform the operation.
API: The API that you can call to perform the action.
Access level: The predefined level of access granted for each API. Valid values: create, list, get, update, and delete.
Resource type: The type of the resource that supports authorization to perform the action. It indicates if the action supports resource-level permission. The specified resource must be compatible with the action. Otherwise, the policy will be ineffective.
- For APIs with resource-level permissions, required resource types are marked with an asterisk (*). Specify the corresponding Alibaba Cloud Resource Name (ARN) in the Resource element of the policy.
- For APIs without resource-level permissions, it is shown as All Resources. Use an asterisk (*) in the Resource element of the policy.
Condition key: The condition keys defined by the service. The key allows for granular control, applying to either actions alone or actions associated with specific resources. In addition to service-specific condition keys, Alibaba Cloud provides a set of common condition keys applicable across all RAM-supported services.
Dependent action: The dependent actions required to run the action. To complete the action, the RAM user or the RAM role must have the permissions to perform all dependent actions.

Action

Access level

Resource type

Condition key

Dependent action

emr-serverless-spark:StartJobRun

create

*All Resource

*

None

Request syntax

POST /api/v1/workspaces/{workspaceId}/jobRuns HTTP/1.1

Path Parameters

Parameter	Type	Required	Description	Example
workspaceId	string	Yes	The workspace ID.	w-d2d82aa09155****

Request parameters

Parameter	Type	Required	Description	Example
body	object	No	The request body of the Spark job.
releaseVersion	string	No	The version of the Spark engine.	esr-3.3.1
jobId	string	No	The job ID.	jr-12345
name	string	No	The job name.	spark_job_name
resourceQueueId	string	No	The resource queue on which the Spark job runs.	dev_queue
codeType	string	No	The job type. Valid values: SQL JAR PYTHON	SQL
executionTimeoutSeconds	integer	No	The timeout period for the job.	100
configurationOverrides	object	No	The advanced Spark configurations.
configurations	array<object>	No	The list of Spark configurations.
	object	No	A Spark configuration object.
configFileName	string	No	The configuration file to which the Spark configuration belongs.	spark-defaults.conf
configItemKey	string	No	The key of the Spark configuration.	spark.app.name
configItemValue	string	No	The value of the Spark configuration.	test_app
tags	array	No	The list of job tags.
	Tag	No	A tag object.
clientToken	string	No	The idempotence token.	8e6aae2810c8f67229ca70bb31cd****
jobDriver	JobDriver	No	The information about the Spark driver.
displayReleaseVersion	string	No	The version that is displayed in the console.	esr-3.3.1
fusion	boolean	No	Specifies whether to enable the Fusion engine for acceleration.	false
regionId	string	No	The region ID.	cn-hangzhou

Response elements

Element	Type	Description	Example
	object	The data returned.
jobRunId	string	The job run ID.	jr-f09a8fda2396****
requestId	string	The request ID.	DD6B1B2A-5837-5237-ABE4-FF0C8944****

Examples

Success response

JSON format

{
  "jobRunId": "jr-f09a8fda2396****",
  "requestId": "DD6B1B2A-5837-5237-ABE4-FF0C8944****"
}

Error codes

See Error Codes for a complete list.

Release notes

See Release Notes for a complete list.