A Dataproc job for running Apache PySpark (https://spark.apache.org/docs/0.9.0/python-programming-guide.html) applications on YARN.

Attributes

• archiveUris (type: list(String.t), default: nil) - 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.
• args (type: list(String.t), default: nil) - 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.
• fileUris (type: list(String.t), default: nil) - Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
• jarFileUris (type: list(String.t), default: nil) - Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.
• loggingConfig (type: GoogleApi.Dataproc.V1.Model.LoggingConfig.t, default: nil) - Optional. The runtime log config for job execution.
• mainPythonFileUri (type: String.t, default: nil) - Required. The HCFS URI of the main Python file to use as the driver. Must be a .py file.
• properties (type: map(), default: nil) - 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.
• pythonFileUris (type: list(String.t), default: nil) - Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.