com.pulumi.gcp.dataproc.kotlin.outputs.WorkflowTemplateJobSparkRJob.kt Maven / Gradle / Ivy

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Build cloud applications and infrastructure by combining the safety and reliability of infrastructure as code with the power of the Kotlin programming language.

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@file:Suppress("NAME_SHADOWING", "DEPRECATION")

package com.pulumi.gcp.dataproc.kotlin.outputs

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

/**
 *
 * @property archiveUris 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 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 HCFS URIs of files to be placed in the working directory of each executor. Useful for naively parallel tasks.
 * @property loggingConfig The runtime log config for job execution.
 * @property mainRFileUri Required. The HCFS URI of the main R file to use as the driver. Must be a .R file.
 * @property properties A mapping of property names to values, used to configure SparkR. 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 WorkflowTemplateJobSparkRJob(
    public val archiveUris: List? = null,
    public val args: List? = null,
    public val fileUris: List? = null,
    public val loggingConfig: WorkflowTemplateJobSparkRJobLoggingConfig? = null,
    public val mainRFileUri: String,
    public val properties: Map? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.gcp.dataproc.outputs.WorkflowTemplateJobSparkRJob): WorkflowTemplateJobSparkRJob = WorkflowTemplateJobSparkRJob(
            archiveUris = javaType.archiveUris().map({ args0 -> args0 }),
            args = javaType.args().map({ args0 -> args0 }),
            fileUris = javaType.fileUris().map({ args0 -> args0 }),
            loggingConfig = javaType.loggingConfig().map({ args0 ->
                args0.let({ args0 ->
                    com.pulumi.gcp.dataproc.kotlin.outputs.WorkflowTemplateJobSparkRJobLoggingConfig.Companion.toKotlin(args0)
                })
            }).orElse(null),
            mainRFileUri = javaType.mainRFileUri(),
            properties = javaType.properties().map({ args0 -> args0.key.to(args0.value) }).toMap(),
        )
    }
}