com.pulumi.googlenative.dataproc.v1beta2.kotlin.outputs.SparkJobResponse.kt Maven / Gradle / Ivy

Go to download
@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.googlenative.dataproc.v1beta2.kotlin.outputs

import kotlin.String
import kotlin.Suppress
import kotlin.collections.List
import kotlin.collections.Map

/**
 * A Dataproc job for running Apache Spark (http://spark.apache.org/) applications on YARN. The specification of the main method to call to drive the job. Specify either the jar file that contains the main class or the main class name. To pass both a main jar and a main class in that jar, add the jar to CommonJob.jar_file_uris, and then specify the main class name in main_class.
 * @property archiveUris 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.
 * @property args 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.
 * @property fileUris Optional. HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
 * @property jarFileUris Optional. HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
 * @property loggingConfig Optional. The runtime log config for job execution.
 * @property mainClass 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.
 * @property mainJarFileUri The HCFS URI of the jar file that contains the main class.
 * @property properties Optional. 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.
 */
public data class SparkJobResponse(
    public val archiveUris: List,
    public val args: List,
    public val fileUris: List,
    public val jarFileUris: List,
    public val loggingConfig: LoggingConfigResponse,
    public val mainClass: String,
    public val mainJarFileUri: String,
    public val properties: Map,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.googlenative.dataproc.v1beta2.outputs.SparkJobResponse): SparkJobResponse = SparkJobResponse(
            archiveUris = javaType.archiveUris().map({ args0 -> args0 }),
            args = javaType.args().map({ args0 -> args0 }),
            fileUris = javaType.fileUris().map({ args0 -> args0 }),
            jarFileUris = javaType.jarFileUris().map({ args0 -> args0 }),
            loggingConfig = javaType.loggingConfig().let({ args0 ->
                com.pulumi.googlenative.dataproc.v1beta2.kotlin.outputs.LoggingConfigResponse.Companion.toKotlin(args0)
            }),
            mainClass = javaType.mainClass(),
            mainJarFileUri = javaType.mainJarFileUri(),
            properties = javaType.properties().map({ args0 -> args0.key.to(args0.value) }).toMap(),
        )
    }
}