Name of a node. The name must contain 1 to 128 characters, including only letters, numbers, underscores (_), hyphens (-), slashes (/), less-than signs (<), and greater-than signs (>).
MRS Cluster Name
Yes
Select an MRS cluster that supports Spark Python. Only a specific version of MRS supports Spark Python. Test the cluster first to ensure that it supports Spark Python.
To create an MRS cluster, use either of the following methods:
Click . On the Clusters page, create an MRS cluster.
Go to the MRS console to create an MRS cluster.
For details about how to create a cluster, see section "Custom Purchase of a Cluster" in MapReduce Service (MRS)Usage Guide .
Job Name
Yes
Name of an MRS job. The name contains 1 to 64 characters, including only letters, digits, and underscores (_).
Note
The job name cannot contain Chinese characters or more than 64 characters. If the job name does not meet requirements, the MRS job will fail to be submitted.
Parameter
Yes
Enter the parameters of the executable program of MRS. Use Enter to separate multiple parameters.
Attribute
No
Enter parameters in the key=value format. Use Enter to separate multiple parameters.
Execution timeout interval for the node. If retry is configured and the execution is not complete within the timeout interval, the node will not be retried and is set to the failed state.
Retry upon Failure
Yes
Indicates whether to re-execute a node task if its execution fails. Possible values:
Yes: The node task will be re-executed, and the following parameters must be configured:
Maximum Retries
Retry Interval (seconds)
No: The node task will not be re-executed. This is the default setting.
Note
If Timeout Interval is configured for the node, the node will not be executed again after the execution times out. Instead, the node is set to the failure state.
Failure Policy
Yes
Operation that will be performed if the node task fails to be executed. Possible values:
End the current job execution plan: stops running the current job. The job instance status is Failed.
Go to the next node: ignores the execution failure of the current node. The job instance status is Failure ignored.
Suspend current job execution plan: suspends running the current job. The job instance status is Waiting.
Suspend execution plans of the subsequent nodes: stops running subsequent nodes. The job instance status is Failed.