"Managed Service for Apache Spark" is the new name for the product formerly known as "Dataproc on Compute Engine" (cluster deployment) and "Google Cloud Serverless for Apache Spark" (serverless deployment).

PySparkJob

JSON representation

A Dataproc job for running Apache PySpark applications on YARN.

JSON representation

JSON representation
{ "mainPythonFileUri": string, "args": [ string ], "pythonFileUris": [ string ], "jarFileUris": [ string ], "fileUris": [ string ], "archiveUris": [ string ], "properties": { string: string, ... }, "loggingConfig": { object (`LoggingConfig` ) } }

{
 "mainPythonFileUri": string,
 "args": [
 string
 ],
 "pythonFileUris": [
 string
 ],
 "jarFileUris": [
 string
 ],
 "fileUris": [
 string
 ],
 "archiveUris": [
 string
 ],
 "properties": {
 string: string,
 ...
 },
 "loggingConfig": {
 object (LoggingConfig )
 }
}

Fields
`mainPythonFileUri`	`string` Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
`args[]`	`string` Optional. The arguments to pass to the driver. Do not include arguments, such as `--conf`, that can be set as job properties, since a collision may occur that causes an incorrect job submission.
`pythonFileUris[]`	`string` Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
`jarFileUris[]`	`string` Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
`fileUris[]`	`string` Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
`archiveUris[]`	`string` Optional. HCFS URIs of archives to be extracted into the working directory of each executor. Supported file types: .jar, .tar, .tar.gz, .tgz, and .zip. Note: Spark applications must be deployed in cluster mode for correct environment propagation.
`properties`	`map (key: string, value: string)` Optional. A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Dataproc API might be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. An object containing a list of `"key": value` pairs. Example: `{ "name": "wrench", "mass": "1.3kg", "count": "3" }`.
`loggingConfig`	`object (LoggingConfig )` Optional. The runtime log config for job execution.

PySparkJob Stay organized with collections Save and categorize content based on your preferences.

PySparkJob