com.pulumi.gcp.dataproc.kotlin.outputs.JobHadoopConfig.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 in the working directory of .jar, .tar, .tar.gz, .tgz, and .zip.
 * @property args The arguments to pass to the driver. Do not include arguments, such as -libjars or -Dfoo=bar, 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 copied to the working directory of Hadoop drivers and distributed tasks. Useful for naively parallel tasks.
 * @property jarFileUris HCFS URIs of jar files to add to the CLASSPATHs of the Spark driver and tasks.
 * @property loggingConfig The runtime logging config of the job
 * @property mainClass The name of the driver's main class. The jar file containing the class must be in the default CLASSPATH or specified in `jar_file_uris`. Conflicts with `main_jar_file_uri`
 * @property mainJarFileUri The HCFS URI of the jar file containing the main class. Examples: 'gs://foo-bucket/analytics-binaries/extract-useful-metrics-mr.jar' 'hdfs:/tmp/test-samples/custom-wordcount.jar' 'file:///home/usr/lib/hadoop-mapreduce/hadoop-mapreduce-examples.jar'. Conflicts with `main_class`
 * @property properties A mapping of property names to values, used to configure Hadoop. Properties that conflict with values set by the Cloud Dataproc API may be overwritten. Can include properties set in `/etc/hadoop/conf/*-site` and classes in user code..
 * * `logging_config.driver_log_levels`- (Required) The per-package log levels for the driver. This may include 'root' package name to configure rootLogger. Examples: 'com.google = FATAL', 'root = INFO', 'org.apache = DEBUG'
 * */
 */
public data class JobHadoopConfig(
    public val archiveUris: List? = null,
    public val args: List? = null,
    public val fileUris: List? = null,
    public val jarFileUris: List? = null,
    public val loggingConfig: JobHadoopConfigLoggingConfig? = null,
    public val mainClass: String? = null,
    public val mainJarFileUri: String? = null,
    public val properties: Map? = null,
) {
    public companion object {
        public fun toKotlin(javaType: com.pulumi.gcp.dataproc.outputs.JobHadoopConfig): JobHadoopConfig = JobHadoopConfig(
            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().map({ args0 ->
                args0.let({ args0 ->
                    com.pulumi.gcp.dataproc.kotlin.outputs.JobHadoopConfigLoggingConfig.Companion.toKotlin(args0)
                })
            }).orElse(null),
            mainClass = javaType.mainClass().map({ args0 -> args0 }).orElse(null),
            mainJarFileUri = javaType.mainJarFileUri().map({ args0 -> args0 }).orElse(null),
            properties = javaType.properties().map({ args0 -> args0.key.to(args0.value) }).toMap(),
        )
    }
}