MRS Spark Python

The MRS Spark Python node is used to execute a predefined Spark Python job on MRS.

Table 1 and Table 2 describe the parameters of the MRS Spark Python node.

**Table 1** Parameters of MRS Spark Python nodes
Parameter	Mandatory	Description
Node Name	Yes	Name of the node. Must consist of 1 to 128 characters and contain only letters, digits, 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 an MRS cluster, see Custom Purchase of a Cluster in MapReduce User Guide.
Job Name	Yes	Name of the MRS Spark Python job. It must consist of 1 to 64 characters and contain only letters, digits, and underscores (_).
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.

**Table 2** Advanced parameters
Parameter	Mandatory	Description
Max. Node Execution Duration	Yes	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 Go to the next job Suspend the current job execution plan Suspend execution plans of the current and subsequent nodes