Cloud Dataproc V1 API - Class Google::Cloud::Dataproc::V1::PySparkBatch (v0.24.1)

Reference documentation and code samples for the Cloud Dataproc V1 API class Google::Cloud::Dataproc::V1::PySparkBatch.

A configuration for running an Apache PySpark batch workload.

Inherits

  • Object

Extended By

  • Google::Protobuf::MessageExts::ClassMethods

Includes

  • Google::Protobuf::MessageExts

Methods

#archive_uris

def archive_uris() -> ::Array<::String>
Returns
  • (::Array<::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.

#archive_uris=

def archive_uris=(value) -> ::Array<::String>
Parameter
  • value (::Array<::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.
Returns
  • (::Array<::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.

#args

def args() -> ::Array<::String>
Returns
  • (::Array<::String>) — Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

#args=

def args=(value) -> ::Array<::String>
Parameter
  • value (::Array<::String>) — Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.
Returns
  • (::Array<::String>) — Optional. The arguments to pass to the driver. Do not include arguments that can be set as batch properties, such as --conf, since a collision can occur that causes an incorrect batch submission.

#file_uris

def file_uris() -> ::Array<::String>
Returns
  • (::Array<::String>) — Optional. HCFS URIs of files to be placed in the working directory of each executor.

#file_uris=

def file_uris=(value) -> ::Array<::String>
Parameter
  • value (::Array<::String>) — Optional. HCFS URIs of files to be placed in the working directory of each executor.
Returns
  • (::Array<::String>) — Optional. HCFS URIs of files to be placed in the working directory of each executor.

#jar_file_uris

def jar_file_uris() -> ::Array<::String>
Returns
  • (::Array<::String>) — Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

#jar_file_uris=

def jar_file_uris=(value) -> ::Array<::String>
Parameter
  • value (::Array<::String>) — Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.
Returns
  • (::Array<::String>) — Optional. HCFS URIs of jar files to add to the classpath of the Spark driver and tasks.

#main_python_file_uri

def main_python_file_uri() -> ::String
Returns
  • (::String) — Required. The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.

#main_python_file_uri=

def main_python_file_uri=(value) -> ::String
Parameter
  • value (::String) — Required. The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.
Returns
  • (::String) — Required. The HCFS URI of the main Python file to use as the Spark driver. Must be a .py file.

#python_file_uris

def python_file_uris() -> ::Array<::String>
Returns
  • (::Array<::String>) — Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.

#python_file_uris=

def python_file_uris=(value) -> ::Array<::String>
Parameter
  • value (::Array<::String>) — Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.
Returns
  • (::Array<::String>) — Optional. HCFS file URIs of Python files to pass to the PySpark framework. Supported file types: .py, .egg, and .zip.