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

WorkflowTemplateJobSparkJob

data class WorkflowTemplateJobSparkJob(val archiveUris: List<String>? = null, val args: List<String>? = null, val fileUris: List<String>? = null, val jarFileUris: List<String>? = null, val loggingConfig: WorkflowTemplateJobSparkJobLoggingConfig? = null, val mainClass: String? = null, val mainJarFileUri: String? = null, val properties: Map<String, String>? = null)

Constructors

fun WorkflowTemplateJobSparkJob(archiveUris: List<String>? = null, args: List<String>? = null, fileUris: List<String>? = null, jarFileUris: List<String>? = null, loggingConfig: WorkflowTemplateJobSparkJobLoggingConfig? = null, mainClass: String? = null, mainJarFileUri: String? = null, properties: Map<String, String>? = null)

Types

Companion

object Companion

Properties

archiveUris

val archiveUris: List<String>? = null

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

val args: List<String>? = null

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

val fileUris: List<String>? = null

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

jarFileUris

val jarFileUris: List<String>? = null

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

loggingConfig

val loggingConfig: WorkflowTemplateJobSparkJobLoggingConfig? = null

The runtime log config for job execution.

mainClass

val mainClass: String? = null

The name of the driver's main class. The jar file that contains the class must be in the default CLASSPATH or specified in jar_file_uris.

mainJarFileUri

val mainJarFileUri: String? = null

The HCFS URI of the jar file that contains the main class.

properties

val properties: Map<String, String>? = null

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.