pulumi-gcp-kotlin/com.pulumi.gcp.dataproc.kotlin.outputs/JobPysparkConfig

JobPysparkConfig

data class JobPysparkConfig(val archiveUris: List<String>? = null, val args: List<String>? = null, val fileUris: List<String>? = null, val jarFileUris: List<String>? = null, val loggingConfig: JobPysparkConfigLoggingConfig? = null, val mainPythonFileUri: String, val properties: Map<String, String>? = null, val pythonFileUris: List<String>? = null)

Constructors

Link copied to clipboard
fun JobPysparkConfig(archiveUris: List<String>? = null, args: List<String>? = null, fileUris: List<String>? = null, jarFileUris: List<String>? = null, loggingConfig: JobPysparkConfigLoggingConfig? = null, mainPythonFileUri: String, properties: Map<String, String>? = null, pythonFileUris: List<String>? = null)

Types

Link copied to clipboard
object Companion

Properties

Link copied to clipboard
val archiveUris: List<String>? = null

HCFS URIs of archives to be extracted in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.

Link copied to clipboard
val args: List<String>? = null

The arguments to pass to the driver.

Link copied to clipboard
val fileUris: List<String>? = null

HCFS URIs of files to be copied to the working directory of Python drivers and distributed tasks. Useful for naively parallel tasks.

Link copied to clipboard
val jarFileUris: List<String>? = null

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

Link copied to clipboard
Link copied to clipboard
val mainPythonFileUri: String

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

Link copied to clipboard
val properties: Map<String, String>? = null

A mapping of property names to values, used to configure PySpark. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in /etc/spark/conf/spark-defaults.conf and classes in user code.

Link copied to clipboard
val pythonFileUris: List<String>? = null

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