BatchStopJobRun - AWS Glue

BatchStopJobRun

Stops one or more job runs for a specified job definition.

Request Syntax

{ "JobName": "string", "JobRunIds": [ "string" ] }

Request Parameters

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

JobName

The name of the job definition for which to stop job runs.

Type: String

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: [\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*

Required: Yes

JobRunIds

A list of the JobRunIds that should be stopped for that job definition.

Type: Array of strings

Array Members: Minimum number of 1 item. Maximum number of 25 items.

Length Constraints: Minimum length of 1. Maximum length of 255.

Pattern: [\u0020-\uD7FF\uE000-\uFFFD\uD800\uDC00-\uDBFF\uDFFF\t]*

Required: Yes

Response Syntax

{ "Errors": [ { "ErrorDetail": { "ErrorCode": "string", "ErrorMessage": "string" }, "JobName": "string", "JobRunId": "string" } ], "SuccessfulSubmissions": [ { "JobName": "string", "JobRunId": "string" } ] }

Response Elements

If the action is successful, the service sends back an HTTP 200 response.

The following data is returned in JSON format by the service.

Errors

A list of the errors that were encountered in trying to stop JobRuns, including the JobRunId for which each error was encountered and details about the error.

Type: Array of BatchStopJobRunError objects

SuccessfulSubmissions

A list of the JobRuns that were successfully submitted for stopping.

Type: Array of BatchStopJobRunSuccessfulSubmission objects

Errors

For information about the errors that are common to all actions, see Common Errors.

InternalServiceException

An internal service error occurred.

HTTP Status Code: 500

InvalidInputException

The input provided was not valid.

HTTP Status Code: 400

OperationTimeoutException

The operation timed out.

HTTP Status Code: 400

See Also

For more information about using this API in one of the language-specific AWS SDKs, see the following: