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Elastic High Performance Computing:RerunJobs

Last Updated:Mar 18, 2025

Reruns one or more jobs.

Debugging

You can run this interface directly in OpenAPI Explorer, saving you the trouble of calculating signatures. After running successfully, OpenAPI Explorer can automatically generate SDK code samples.

Authorization information

The following table shows the authorization information corresponding to the API. The authorization information can be used in the Action policy element to grant a RAM user or RAM role the permissions to call this API operation. Description:

  • Operation: the value that you can use in the Action element to specify the operation on a resource.
  • Access level: the access level of each operation. The levels are read, write, and list.
  • Resource type: the type of the resource on which you can authorize the RAM user or the RAM role to perform the operation. Take note of the following items:
    • For mandatory resource types, indicate with a prefix of * .
    • If the permissions cannot be granted at the resource level, All Resources is used in the Resource type column of the operation.
  • Condition Key: the condition key that is defined by the cloud service.
  • Associated operation: other operations that the RAM user or the RAM role must have permissions to perform to complete the operation. To complete the operation, the RAM user or the RAM role must have the permissions to perform the associated operations.
OperationAccess levelResource typeCondition keyAssociated operation
ehpc:RerunJobs
*All Resources
*
    none
none

Request parameters

ParameterTypeRequiredDescriptionExample
ClusterIdstringYes

The ID of the cluster.

You can call the ListClusters operation to query the cluster ID.

ehpc-sh-3VeFyR****
JobsstringYes

The list of jobs that you want to run. Maximum number of jobs: 100. Minimum number of jobs: 1.

Format: [{"Id": "0.sched****"},{"Id": "1.sched****"}]. Separate multiple jobs with commas (,).

You can call the ListJobs operation to query the job ID.

Note You can rerun only jobs that are in the RUNNING or QUEUED state.
[{"Id":"1.scheduler"}]
AsyncbooleanNo

Specifies whether to use an asynchronous link to rerun the job.

Default value: false

false

Response parameters

ParameterTypeDescriptionExample
object
RequestIdstring

The ID of the request.

04F0F334-1335-436C-A1D7-6C044FE7****

Examples

Sample success responses

JSONformat

{
  "RequestId": "04F0F334-1335-436C-A1D7-6C044FE7****"
}

Error codes

HTTP status codeError codeError messageDescription
400InvalidParamsThe specified parameter %s is invalid.The specified parameter %s is invalid.
400NotEnabledYou have not enabled this serviceYou have not enabled this service
400InDebtYour account has overdue payments.Your account has overdue payments.
403InvalidClusterStatusThe operation failed due to invalid cluster status.The cluster status does not support the operation.
403ConflictOptA conflicting operation is running.A conflicting operation is running. Please try again later.
403UsernameExistThe username already exists.The username already exists.
403IncorrectCredentialThe username or password is incorrect.The username or password is incorrect.
404ClusterNotFoundThe specified cluster does not exist.The specified instance does not exist.
404ManagerNotFoundThe manager nodes do not exist or their status is abnormal.The manager nodes do not exist or their status is abnormal.
406AgentError.Job.RerunFailureFailed to run the job again: %s.Failed to run the job again: %s
406AliyunErrorAn Alibaba Cloud product error occurred.Alibaba Cloud product error. %s
406AgentResponseTimeoutAgent response timeout: %s-
406AgentErrorThe agent service request failed: %sOperation unsuccessful: %s
407NotAuthorizedYou are not authorized by RAM for this request.The request is not authorized by RAM.
409PartFailurePart of the batch operation failed.Part of the batch operation failed.
500UnknownErrorAn unknown error occurred.An unknown error occurred.
503ServiceUnavailableThe request has failed due to a temporary failure of the serverThe request has failed due to a temporary failure of the server.

For a list of error codes, visit the Service error codes.

Change history

Change timeSummary of changesOperation
No change history