com.pulumi.gcp.dataproc.kotlin.inputs.ClusterVirtualClusterConfigKubernetesClusterConfigArgs.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.inputs

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

/**
 *
 * @property gkeClusterConfig The configuration for running the Dataproc cluster on GKE.
 * @property kubernetesNamespace A namespace within the Kubernetes cluster to deploy into.
 * If this namespace does not exist, it is created.
 * If it  exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it.
 * If not specified, the name of the Dataproc Cluster is used.
 * @property kubernetesSoftwareConfig The software configuration for this Dataproc cluster running on Kubernetes.
 */
public data class ClusterVirtualClusterConfigKubernetesClusterConfigArgs(
    public val gkeClusterConfig: Output,
    public val kubernetesNamespace: Output? = null,
    public val kubernetesSoftwareConfig: Output,
) :
    ConvertibleToJava {
    override fun toJava(): com.pulumi.gcp.dataproc.inputs.ClusterVirtualClusterConfigKubernetesClusterConfigArgs =
        com.pulumi.gcp.dataproc.inputs.ClusterVirtualClusterConfigKubernetesClusterConfigArgs.builder()
            .gkeClusterConfig(gkeClusterConfig.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
            .kubernetesNamespace(kubernetesNamespace?.applyValue({ args0 -> args0 }))
            .kubernetesSoftwareConfig(
                kubernetesSoftwareConfig.applyValue({ args0 ->
                    args0.let({ args0 ->
                        args0.toJava()
                    })
                }),
            ).build()
}

/**
 * Builder for [ClusterVirtualClusterConfigKubernetesClusterConfigArgs].
 */
@PulumiTagMarker
public class ClusterVirtualClusterConfigKubernetesClusterConfigArgsBuilder internal constructor() {
    private var gkeClusterConfig:
        Output? = null

    private var kubernetesNamespace: Output? = null

    private var kubernetesSoftwareConfig:
        Output? = null

    /**
     * @param value The configuration for running the Dataproc cluster on GKE.
     */
    @JvmName("ipdnysnebdauoiys")
    public suspend fun gkeClusterConfig(`value`: Output) {
        this.gkeClusterConfig = value
    }

    /**
     * @param value A namespace within the Kubernetes cluster to deploy into.
     * If this namespace does not exist, it is created.
     * If it  exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it.
     * If not specified, the name of the Dataproc Cluster is used.
     */
    @JvmName("lewnnwynthcnwpnw")
    public suspend fun kubernetesNamespace(`value`: Output) {
        this.kubernetesNamespace = value
    }

    /**
     * @param value The software configuration for this Dataproc cluster running on Kubernetes.
     */
    @JvmName("lviuvyxywyqvtdef")
    public suspend fun kubernetesSoftwareConfig(`value`: Output) {
        this.kubernetesSoftwareConfig = value
    }

    /**
     * @param value The configuration for running the Dataproc cluster on GKE.
     */
    @JvmName("yxwrdidrfwpbcehg")
    public suspend fun gkeClusterConfig(`value`: ClusterVirtualClusterConfigKubernetesClusterConfigGkeClusterConfigArgs) {
        val toBeMapped = value
        val mapped = toBeMapped.let({ args0 -> of(args0) })
        this.gkeClusterConfig = mapped
    }

    /**
     * @param argument The configuration for running the Dataproc cluster on GKE.
     */
    @JvmName("gherxhwlckjwpmtn")
    public suspend fun gkeClusterConfig(argument: suspend ClusterVirtualClusterConfigKubernetesClusterConfigGkeClusterConfigArgsBuilder.() -> Unit) {
        val toBeMapped =
            ClusterVirtualClusterConfigKubernetesClusterConfigGkeClusterConfigArgsBuilder().applySuspend {
                argument()
            }.build()
        val mapped = of(toBeMapped)
        this.gkeClusterConfig = mapped
    }

    /**
     * @param value A namespace within the Kubernetes cluster to deploy into.
     * If this namespace does not exist, it is created.
     * If it  exists, Dataproc verifies that another Dataproc VirtualCluster is not installed into it.
     * If not specified, the name of the Dataproc Cluster is used.
     */
    @JvmName("vmxkvwibxmmrjbjj")
    public suspend fun kubernetesNamespace(`value`: String?) {
        val toBeMapped = value
        val mapped = toBeMapped?.let({ args0 -> of(args0) })
        this.kubernetesNamespace = mapped
    }

    /**
     * @param value The software configuration for this Dataproc cluster running on Kubernetes.
     */
    @JvmName("csmajdpdmmfcvqpq")
    public suspend fun kubernetesSoftwareConfig(`value`: ClusterVirtualClusterConfigKubernetesClusterConfigKubernetesSoftwareConfigArgs) {
        val toBeMapped = value
        val mapped = toBeMapped.let({ args0 -> of(args0) })
        this.kubernetesSoftwareConfig = mapped
    }

    /**
     * @param argument The software configuration for this Dataproc cluster running on Kubernetes.
     */
    @JvmName("pafnmgkqunwshsgw")
    public suspend fun kubernetesSoftwareConfig(argument: suspend ClusterVirtualClusterConfigKubernetesClusterConfigKubernetesSoftwareConfigArgsBuilder.() -> Unit) {
        val toBeMapped =
            ClusterVirtualClusterConfigKubernetesClusterConfigKubernetesSoftwareConfigArgsBuilder().applySuspend {
                argument()
            }.build()
        val mapped = of(toBeMapped)
        this.kubernetesSoftwareConfig = mapped
    }

    internal fun build(): ClusterVirtualClusterConfigKubernetesClusterConfigArgs =
        ClusterVirtualClusterConfigKubernetesClusterConfigArgs(
            gkeClusterConfig = gkeClusterConfig ?: throw PulumiNullFieldException("gkeClusterConfig"),
            kubernetesNamespace = kubernetesNamespace,
            kubernetesSoftwareConfig = kubernetesSoftwareConfig ?: throw
                PulumiNullFieldException("kubernetesSoftwareConfig"),
        )
}