A Dataproc job for running Apache Spark applications on YARN. 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 CommonJob.jar_file_uris
, and then specify the main class name in mainClass
.
JSON representation | |
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{ "args": [ string ], "jarFileUris": [ string ], "fileUris": [ string ], "archiveUris": [ string ], "properties": { string: string, ... }, "loggingConfig": { object ( |
Fields | ||
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args[] |
Optional. The arguments to pass to the driver. Do not include arguments, such as |
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jarFileUris[] |
Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks. |
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fileUris[] |
Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks. |
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archiveUris[] |
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. |
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properties |
Optional. A mapping of property names to values, used to configure Spark. Properties that conflict with values set by the Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code. An object containing a list of |
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loggingConfig |
Optional. The runtime log config for job execution. |
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Union field
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mainJarFileUri |
The HCFS URI of the jar file that contains the main class. |
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mainClass |
The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in |