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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.inputs

import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.dataproc.inputs.BatchEnvironmentConfigPeripheralsConfigArgs.builder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.jvm.JvmName

/**
 *
 * @property metastoreService Resource name of an existing Dataproc Metastore service.
 * @property sparkHistoryServerConfig The Spark History Server configuration for the workload.
 * Structure is documented below.
 */
public data class BatchEnvironmentConfigPeripheralsConfigArgs(
    public val metastoreService: Output? = null,
    public val sparkHistoryServerConfig: Output? = null,
) : ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.dataproc.inputs.BatchEnvironmentConfigPeripheralsConfigArgs = com.pulumi.gcp.dataproc.inputs.BatchEnvironmentConfigPeripheralsConfigArgs.builder()
        .metastoreService(metastoreService?.applyValue({ args0 -> args0 }))
        .sparkHistoryServerConfig(
            sparkHistoryServerConfig?.applyValue({ args0 ->
                args0.let({ args0 ->
                    args0.toJava()
                })
            }),
        ).build()
}

/**
 * Builder for [BatchEnvironmentConfigPeripheralsConfigArgs].
 */
@PulumiTagMarker
public class BatchEnvironmentConfigPeripheralsConfigArgsBuilder internal constructor() {
    private var metastoreService: Output? = null

    private var sparkHistoryServerConfig:
        Output? = null

    /**
     * @param value Resource name of an existing Dataproc Metastore service.
     */
    @JvmName("hbegavvilehgdqjm")
    public suspend fun metastoreService(`value`: Output) {
        this.metastoreService = value
    }

    /**
     * @param value The Spark History Server configuration for the workload.
     * Structure is documented below.
     */
    @JvmName("rgvohishvgrkmhhd")
    public suspend fun sparkHistoryServerConfig(`value`: Output) {
        this.sparkHistoryServerConfig = value
    }

    /**
     * @param value Resource name of an existing Dataproc Metastore service.
     */
    @JvmName("cckhoxmcybnkkapf")
    public suspend fun metastoreService(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.metastoreService = mapped
    }

    /**
     * @param value The Spark History Server configuration for the workload.
     * Structure is documented below.
     */
    @JvmName("ssqjoqiisubnnqhj")
    public suspend fun sparkHistoryServerConfig(`value`: BatchEnvironmentConfigPeripheralsConfigSparkHistoryServerConfigArgs?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.sparkHistoryServerConfig = mapped
    }

    /**
     * @param argument The Spark History Server configuration for the workload.
     * Structure is documented below.
     */
    @JvmName("lilscnejiwpvjubg")
    public suspend fun sparkHistoryServerConfig(argument: suspend BatchEnvironmentConfigPeripheralsConfigSparkHistoryServerConfigArgsBuilder.() -> Unit) {
        val toBeMapped =
            BatchEnvironmentConfigPeripheralsConfigSparkHistoryServerConfigArgsBuilder().applySuspend {
                argument()
            }.build()
        val mapped = of(toBeMapped)
        this.sparkHistoryServerConfig = mapped
    }

    internal fun build(): BatchEnvironmentConfigPeripheralsConfigArgs =
        BatchEnvironmentConfigPeripheralsConfigArgs(
            metastoreService = metastoreService,
            sparkHistoryServerConfig = sparkHistoryServerConfig,
        )
}




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