SparkJob

JSON representation

A Dataproc job for running Apache Spark applications on YARN.

JSON representation

JSON representation
{ "args": [ string ], "jarFileUris": [ string ], "fileUris": [ string ], "archiveUris": [ string ], "properties": { string: string, ... }, "loggingConfig": { object (`LoggingConfig`) }, // Union field `driver` can be only one of the following: "mainJarFileUri": string, "mainClass": string // End of list of possible types for union field `driver`. }

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

  // Union field driver can be only one of the following:
  "mainJarFileUri": string,
  "mainClass": string
  // End of list of possible types for union field driver.
}

Fields
`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.
`jarFileUris[]`	`string` Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark 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.
`properties`	`map (key: string, value: string)` Optional. A mapping of property names to values, used to configure Spark. 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.
Union field `driver`. Required. The specification of the main method to call to drive the job. Specify either the jar file that contains the main class or the main class name. To pass both a main jar and a main class in that jar, add the jar to `jarFileUris`, and then specify the main class name in `mainClass`. `driver` can be only one of the following:
`mainJarFileUri`	`string` The HCFS URI of the jar file that contains the main class.
`mainClass`	`string` The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in SparkJob.jar_file_uris.