PySparkJobResponse

data class PySparkJobResponse(val archiveUris: List<String>, val args: List<String>, val fileUris: List<String>, val jarFileUris: List<String>, val loggingConfig: LoggingConfigResponse, val mainPythonFileUri: String, val properties: Map<String, String>, val pythonFileUris: List<String>)

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

Constructors

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fun PySparkJobResponse(archiveUris: List<String>, args: List<String>, fileUris: List<String>, jarFileUris: List<String>, loggingConfig: LoggingConfigResponse, mainPythonFileUri: String, properties: Map<String, String>, pythonFileUris: List<String>)

Types

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object Companion

Properties

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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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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.

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Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.

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Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Python driver and tasks.

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Optional. The runtime log config for job execution.

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The HCFS URI of the main Python file to use as the driver. Must be a .py file.

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Optional. A mapping of property names to values, used to configure PySpark. 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.

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Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.