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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.
@file:Suppress("NAME_SHADOWING", "DEPRECATION")
package com.pulumi.gcp.dataproc.kotlin
import com.pulumi.core.Output
import com.pulumi.core.Output.of
import com.pulumi.gcp.dataproc.ClusterArgs.builder
import com.pulumi.gcp.dataproc.kotlin.inputs.ClusterClusterConfigArgs
import com.pulumi.gcp.dataproc.kotlin.inputs.ClusterClusterConfigArgsBuilder
import com.pulumi.gcp.dataproc.kotlin.inputs.ClusterVirtualClusterConfigArgs
import com.pulumi.gcp.dataproc.kotlin.inputs.ClusterVirtualClusterConfigArgsBuilder
import com.pulumi.kotlin.ConvertibleToJava
import com.pulumi.kotlin.PulumiTagMarker
import com.pulumi.kotlin.applySuspend
import kotlin.Pair
import kotlin.String
import kotlin.Suppress
import kotlin.Unit
import kotlin.collections.Map
import kotlin.jvm.JvmName
/**
* Manages a Cloud Dataproc cluster resource within GCP.
* * [API documentation](https://cloud.google.com/dataproc/docs/reference/rest/v1/projects.regions.clusters)
* * How-to Guides
* * [Official Documentation](https://cloud.google.com/dataproc/docs)
* !> **Warning:** Due to limitations of the API, all arguments except
* `labels`,`cluster_config.worker_config.num_instances` and `cluster_config.preemptible_worker_config.num_instances` are non-updatable. Changing `cluster_config.worker_config.min_num_instances` will be ignored. Changing others will cause recreation of the
* whole cluster!
* ## Example Usage
* ### Basic
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
* const simplecluster = new gcp.dataproc.Cluster("simplecluster", {
* name: "simplecluster",
* region: "us-central1",
* });
* ```
* ```python
* import pulumi
* import pulumi_gcp as gcp
* simplecluster = gcp.dataproc.Cluster("simplecluster",
* name="simplecluster",
* region="us-central1")
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Gcp = Pulumi.Gcp;
* return await Deployment.RunAsync(() =>
* {
* var simplecluster = new Gcp.Dataproc.Cluster("simplecluster", new()
* {
* Name = "simplecluster",
* Region = "us-central1",
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataproc"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := dataproc.NewCluster(ctx, "simplecluster", &dataproc.ClusterArgs{
* Name: pulumi.String("simplecluster"),
* Region: pulumi.String("us-central1"),
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.gcp.dataproc.Cluster;
* import com.pulumi.gcp.dataproc.ClusterArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var simplecluster = new Cluster("simplecluster", ClusterArgs.builder()
* .name("simplecluster")
* .region("us-central1")
* .build());
* }
* }
* ```
* ```yaml
* resources:
* simplecluster:
* type: gcp:dataproc:Cluster
* properties:
* name: simplecluster
* region: us-central1
* ```
*
* ### Advanced
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
* const _default = new gcp.serviceaccount.Account("default", {
* accountId: "service-account-id",
* displayName: "Service Account",
* });
* const mycluster = new gcp.dataproc.Cluster("mycluster", {
* name: "mycluster",
* region: "us-central1",
* gracefulDecommissionTimeout: "120s",
* labels: {
* foo: "bar",
* },
* clusterConfig: {
* stagingBucket: "dataproc-staging-bucket",
* masterConfig: {
* numInstances: 1,
* machineType: "e2-medium",
* diskConfig: {
* bootDiskType: "pd-ssd",
* bootDiskSizeGb: 30,
* },
* },
* workerConfig: {
* numInstances: 2,
* machineType: "e2-medium",
* minCpuPlatform: "Intel Skylake",
* diskConfig: {
* bootDiskSizeGb: 30,
* numLocalSsds: 1,
* },
* },
* preemptibleWorkerConfig: {
* numInstances: 0,
* },
* softwareConfig: {
* imageVersion: "2.0.35-debian10",
* overrideProperties: {
* "dataproc:dataproc.allow.zero.workers": "true",
* },
* },
* gceClusterConfig: {
* tags: [
* "foo",
* "bar",
* ],
* serviceAccount: _default.email,
* serviceAccountScopes: ["cloud-platform"],
* },
* initializationActions: [{
* script: "gs://dataproc-initialization-actions/stackdriver/stackdriver.sh",
* timeoutSec: 500,
* }],
* },
* });
* ```
* ```python
* import pulumi
* import pulumi_gcp as gcp
* default = gcp.serviceaccount.Account("default",
* account_id="service-account-id",
* display_name="Service Account")
* mycluster = gcp.dataproc.Cluster("mycluster",
* name="mycluster",
* region="us-central1",
* graceful_decommission_timeout="120s",
* labels={
* "foo": "bar",
* },
* cluster_config=gcp.dataproc.ClusterClusterConfigArgs(
* staging_bucket="dataproc-staging-bucket",
* master_config=gcp.dataproc.ClusterClusterConfigMasterConfigArgs(
* num_instances=1,
* machine_type="e2-medium",
* disk_config=gcp.dataproc.ClusterClusterConfigMasterConfigDiskConfigArgs(
* boot_disk_type="pd-ssd",
* boot_disk_size_gb=30,
* ),
* ),
* worker_config=gcp.dataproc.ClusterClusterConfigWorkerConfigArgs(
* num_instances=2,
* machine_type="e2-medium",
* min_cpu_platform="Intel Skylake",
* disk_config=gcp.dataproc.ClusterClusterConfigWorkerConfigDiskConfigArgs(
* boot_disk_size_gb=30,
* num_local_ssds=1,
* ),
* ),
* preemptible_worker_config=gcp.dataproc.ClusterClusterConfigPreemptibleWorkerConfigArgs(
* num_instances=0,
* ),
* software_config=gcp.dataproc.ClusterClusterConfigSoftwareConfigArgs(
* image_version="2.0.35-debian10",
* override_properties={
* "dataproc:dataproc.allow.zero.workers": "true",
* },
* ),
* gce_cluster_config=gcp.dataproc.ClusterClusterConfigGceClusterConfigArgs(
* tags=[
* "foo",
* "bar",
* ],
* service_account=default.email,
* service_account_scopes=["cloud-platform"],
* ),
* initialization_actions=[gcp.dataproc.ClusterClusterConfigInitializationActionArgs(
* script="gs://dataproc-initialization-actions/stackdriver/stackdriver.sh",
* timeout_sec=500,
* )],
* ))
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Gcp = Pulumi.Gcp;
* return await Deployment.RunAsync(() =>
* {
* var @default = new Gcp.ServiceAccount.Account("default", new()
* {
* AccountId = "service-account-id",
* DisplayName = "Service Account",
* });
* var mycluster = new Gcp.Dataproc.Cluster("mycluster", new()
* {
* Name = "mycluster",
* Region = "us-central1",
* GracefulDecommissionTimeout = "120s",
* Labels =
* {
* { "foo", "bar" },
* },
* ClusterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigArgs
* {
* StagingBucket = "dataproc-staging-bucket",
* MasterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigMasterConfigArgs
* {
* NumInstances = 1,
* MachineType = "e2-medium",
* DiskConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigMasterConfigDiskConfigArgs
* {
* BootDiskType = "pd-ssd",
* BootDiskSizeGb = 30,
* },
* },
* WorkerConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigWorkerConfigArgs
* {
* NumInstances = 2,
* MachineType = "e2-medium",
* MinCpuPlatform = "Intel Skylake",
* DiskConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigWorkerConfigDiskConfigArgs
* {
* BootDiskSizeGb = 30,
* NumLocalSsds = 1,
* },
* },
* PreemptibleWorkerConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigPreemptibleWorkerConfigArgs
* {
* NumInstances = 0,
* },
* SoftwareConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigSoftwareConfigArgs
* {
* ImageVersion = "2.0.35-debian10",
* OverrideProperties =
* {
* { "dataproc:dataproc.allow.zero.workers", "true" },
* },
* },
* GceClusterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigGceClusterConfigArgs
* {
* Tags = new[]
* {
* "foo",
* "bar",
* },
* ServiceAccount = @default.Email,
* ServiceAccountScopes = new[]
* {
* "cloud-platform",
* },
* },
* InitializationActions = new[]
* {
* new Gcp.Dataproc.Inputs.ClusterClusterConfigInitializationActionArgs
* {
* Script = "gs://dataproc-initialization-actions/stackdriver/stackdriver.sh",
* TimeoutSec = 500,
* },
* },
* },
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataproc"
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/serviceaccount"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := serviceaccount.NewAccount(ctx, "default", &serviceaccount.AccountArgs{
* AccountId: pulumi.String("service-account-id"),
* DisplayName: pulumi.String("Service Account"),
* })
* if err != nil {
* return err
* }
* _, err = dataproc.NewCluster(ctx, "mycluster", &dataproc.ClusterArgs{
* Name: pulumi.String("mycluster"),
* Region: pulumi.String("us-central1"),
* GracefulDecommissionTimeout: pulumi.String("120s"),
* Labels: pulumi.StringMap{
* "foo": pulumi.String("bar"),
* },
* ClusterConfig: &dataproc.ClusterClusterConfigArgs{
* StagingBucket: pulumi.String("dataproc-staging-bucket"),
* MasterConfig: &dataproc.ClusterClusterConfigMasterConfigArgs{
* NumInstances: pulumi.Int(1),
* MachineType: pulumi.String("e2-medium"),
* DiskConfig: &dataproc.ClusterClusterConfigMasterConfigDiskConfigArgs{
* BootDiskType: pulumi.String("pd-ssd"),
* BootDiskSizeGb: pulumi.Int(30),
* },
* },
* WorkerConfig: &dataproc.ClusterClusterConfigWorkerConfigArgs{
* NumInstances: pulumi.Int(2),
* MachineType: pulumi.String("e2-medium"),
* MinCpuPlatform: pulumi.String("Intel Skylake"),
* DiskConfig: &dataproc.ClusterClusterConfigWorkerConfigDiskConfigArgs{
* BootDiskSizeGb: pulumi.Int(30),
* NumLocalSsds: pulumi.Int(1),
* },
* },
* PreemptibleWorkerConfig: &dataproc.ClusterClusterConfigPreemptibleWorkerConfigArgs{
* NumInstances: pulumi.Int(0),
* },
* SoftwareConfig: &dataproc.ClusterClusterConfigSoftwareConfigArgs{
* ImageVersion: pulumi.String("2.0.35-debian10"),
* OverrideProperties: pulumi.StringMap{
* "dataproc:dataproc.allow.zero.workers": pulumi.String("true"),
* },
* },
* GceClusterConfig: &dataproc.ClusterClusterConfigGceClusterConfigArgs{
* Tags: pulumi.StringArray{
* pulumi.String("foo"),
* pulumi.String("bar"),
* },
* ServiceAccount: _default.Email,
* ServiceAccountScopes: pulumi.StringArray{
* pulumi.String("cloud-platform"),
* },
* },
* InitializationActions: dataproc.ClusterClusterConfigInitializationActionArray{
* &dataproc.ClusterClusterConfigInitializationActionArgs{
* Script: pulumi.String("gs://dataproc-initialization-actions/stackdriver/stackdriver.sh"),
* TimeoutSec: pulumi.Int(500),
* },
* },
* },
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.gcp.serviceaccount.Account;
* import com.pulumi.gcp.serviceaccount.AccountArgs;
* import com.pulumi.gcp.dataproc.Cluster;
* import com.pulumi.gcp.dataproc.ClusterArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigMasterConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigMasterConfigDiskConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigWorkerConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigWorkerConfigDiskConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigPreemptibleWorkerConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigSoftwareConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigGceClusterConfigArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var default_ = new Account("default", AccountArgs.builder()
* .accountId("service-account-id")
* .displayName("Service Account")
* .build());
* var mycluster = new Cluster("mycluster", ClusterArgs.builder()
* .name("mycluster")
* .region("us-central1")
* .gracefulDecommissionTimeout("120s")
* .labels(Map.of("foo", "bar"))
* .clusterConfig(ClusterClusterConfigArgs.builder()
* .stagingBucket("dataproc-staging-bucket")
* .masterConfig(ClusterClusterConfigMasterConfigArgs.builder()
* .numInstances(1)
* .machineType("e2-medium")
* .diskConfig(ClusterClusterConfigMasterConfigDiskConfigArgs.builder()
* .bootDiskType("pd-ssd")
* .bootDiskSizeGb(30)
* .build())
* .build())
* .workerConfig(ClusterClusterConfigWorkerConfigArgs.builder()
* .numInstances(2)
* .machineType("e2-medium")
* .minCpuPlatform("Intel Skylake")
* .diskConfig(ClusterClusterConfigWorkerConfigDiskConfigArgs.builder()
* .bootDiskSizeGb(30)
* .numLocalSsds(1)
* .build())
* .build())
* .preemptibleWorkerConfig(ClusterClusterConfigPreemptibleWorkerConfigArgs.builder()
* .numInstances(0)
* .build())
* .softwareConfig(ClusterClusterConfigSoftwareConfigArgs.builder()
* .imageVersion("2.0.35-debian10")
* .overrideProperties(Map.of("dataproc:dataproc.allow.zero.workers", "true"))
* .build())
* .gceClusterConfig(ClusterClusterConfigGceClusterConfigArgs.builder()
* .tags(
* "foo",
* "bar")
* .serviceAccount(default_.email())
* .serviceAccountScopes("cloud-platform")
* .build())
* .initializationActions(ClusterClusterConfigInitializationActionArgs.builder()
* .script("gs://dataproc-initialization-actions/stackdriver/stackdriver.sh")
* .timeoutSec(500)
* .build())
* .build())
* .build());
* }
* }
* ```
* ```yaml
* resources:
* default:
* type: gcp:serviceaccount:Account
* properties:
* accountId: service-account-id
* displayName: Service Account
* mycluster:
* type: gcp:dataproc:Cluster
* properties:
* name: mycluster
* region: us-central1
* gracefulDecommissionTimeout: 120s
* labels:
* foo: bar
* clusterConfig:
* stagingBucket: dataproc-staging-bucket
* masterConfig:
* numInstances: 1
* machineType: e2-medium
* diskConfig:
* bootDiskType: pd-ssd
* bootDiskSizeGb: 30
* workerConfig:
* numInstances: 2
* machineType: e2-medium
* minCpuPlatform: Intel Skylake
* diskConfig:
* bootDiskSizeGb: 30
* numLocalSsds: 1
* preemptibleWorkerConfig:
* numInstances: 0
* softwareConfig:
* imageVersion: 2.0.35-debian10
* overrideProperties:
* dataproc:dataproc.allow.zero.workers: 'true'
* gceClusterConfig:
* tags:
* - foo
* - bar
* serviceAccount: ${default.email}
* serviceAccountScopes:
* - cloud-platform
* initializationActions:
* - script: gs://dataproc-initialization-actions/stackdriver/stackdriver.sh
* timeoutSec: 500
* ```
*
* ### Using A GPU Accelerator
*
* ```typescript
* import * as pulumi from "@pulumi/pulumi";
* import * as gcp from "@pulumi/gcp";
* const acceleratedCluster = new gcp.dataproc.Cluster("accelerated_cluster", {
* name: "my-cluster-with-gpu",
* region: "us-central1",
* clusterConfig: {
* gceClusterConfig: {
* zone: "us-central1-a",
* },
* masterConfig: {
* accelerators: [{
* acceleratorType: "nvidia-tesla-k80",
* acceleratorCount: 1,
* }],
* },
* },
* });
* ```
* ```python
* import pulumi
* import pulumi_gcp as gcp
* accelerated_cluster = gcp.dataproc.Cluster("accelerated_cluster",
* name="my-cluster-with-gpu",
* region="us-central1",
* cluster_config=gcp.dataproc.ClusterClusterConfigArgs(
* gce_cluster_config=gcp.dataproc.ClusterClusterConfigGceClusterConfigArgs(
* zone="us-central1-a",
* ),
* master_config=gcp.dataproc.ClusterClusterConfigMasterConfigArgs(
* accelerators=[gcp.dataproc.ClusterClusterConfigMasterConfigAcceleratorArgs(
* accelerator_type="nvidia-tesla-k80",
* accelerator_count=1,
* )],
* ),
* ))
* ```
* ```csharp
* using System.Collections.Generic;
* using System.Linq;
* using Pulumi;
* using Gcp = Pulumi.Gcp;
* return await Deployment.RunAsync(() =>
* {
* var acceleratedCluster = new Gcp.Dataproc.Cluster("accelerated_cluster", new()
* {
* Name = "my-cluster-with-gpu",
* Region = "us-central1",
* ClusterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigArgs
* {
* GceClusterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigGceClusterConfigArgs
* {
* Zone = "us-central1-a",
* },
* MasterConfig = new Gcp.Dataproc.Inputs.ClusterClusterConfigMasterConfigArgs
* {
* Accelerators = new[]
* {
* new Gcp.Dataproc.Inputs.ClusterClusterConfigMasterConfigAcceleratorArgs
* {
* AcceleratorType = "nvidia-tesla-k80",
* AcceleratorCount = 1,
* },
* },
* },
* },
* });
* });
* ```
* ```go
* package main
* import (
* "github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/dataproc"
* "github.com/pulumi/pulumi/sdk/v3/go/pulumi"
* )
* func main() {
* pulumi.Run(func(ctx *pulumi.Context) error {
* _, err := dataproc.NewCluster(ctx, "accelerated_cluster", &dataproc.ClusterArgs{
* Name: pulumi.String("my-cluster-with-gpu"),
* Region: pulumi.String("us-central1"),
* ClusterConfig: &dataproc.ClusterClusterConfigArgs{
* GceClusterConfig: &dataproc.ClusterClusterConfigGceClusterConfigArgs{
* Zone: pulumi.String("us-central1-a"),
* },
* MasterConfig: &dataproc.ClusterClusterConfigMasterConfigArgs{
* Accelerators: dataproc.ClusterClusterConfigMasterConfigAcceleratorArray{
* &dataproc.ClusterClusterConfigMasterConfigAcceleratorArgs{
* AcceleratorType: pulumi.String("nvidia-tesla-k80"),
* AcceleratorCount: pulumi.Int(1),
* },
* },
* },
* },
* })
* if err != nil {
* return err
* }
* return nil
* })
* }
* ```
* ```java
* package generated_program;
* import com.pulumi.Context;
* import com.pulumi.Pulumi;
* import com.pulumi.core.Output;
* import com.pulumi.gcp.dataproc.Cluster;
* import com.pulumi.gcp.dataproc.ClusterArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigGceClusterConfigArgs;
* import com.pulumi.gcp.dataproc.inputs.ClusterClusterConfigMasterConfigArgs;
* import java.util.List;
* import java.util.ArrayList;
* import java.util.Map;
* import java.io.File;
* import java.nio.file.Files;
* import java.nio.file.Paths;
* public class App {
* public static void main(String[] args) {
* Pulumi.run(App::stack);
* }
* public static void stack(Context ctx) {
* var acceleratedCluster = new Cluster("acceleratedCluster", ClusterArgs.builder()
* .name("my-cluster-with-gpu")
* .region("us-central1")
* .clusterConfig(ClusterClusterConfigArgs.builder()
* .gceClusterConfig(ClusterClusterConfigGceClusterConfigArgs.builder()
* .zone("us-central1-a")
* .build())
* .masterConfig(ClusterClusterConfigMasterConfigArgs.builder()
* .accelerators(ClusterClusterConfigMasterConfigAcceleratorArgs.builder()
* .acceleratorType("nvidia-tesla-k80")
* .acceleratorCount("1")
* .build())
* .build())
* .build())
* .build());
* }
* }
* ```
* ```yaml
* resources:
* acceleratedCluster:
* type: gcp:dataproc:Cluster
* name: accelerated_cluster
* properties:
* name: my-cluster-with-gpu
* region: us-central1
* clusterConfig:
* gceClusterConfig:
* zone: us-central1-a
* masterConfig:
* accelerators:
* - acceleratorType: nvidia-tesla-k80
* acceleratorCount: '1'
* ```
*
* ## Import
* This resource does not support import.
* @property clusterConfig Allows you to configure various aspects of the cluster.
* Structure defined below.
* @property gracefulDecommissionTimeout
* @property labels The list of the labels (key/value pairs) configured on the resource and to be applied to instances in the cluster.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer
* to the field 'effective_labels' for all of the labels present on the resource.
* @property name The name of the cluster, unique within the project and
* zone.
* - - -
* @property project The ID of the project in which the `cluster` will exist. If it
* is not provided, the provider project is used.
* @property region The region in which the cluster and associated nodes will be created in.
* Defaults to `global`.
* @property virtualClusterConfig Allows you to configure a virtual Dataproc on GKE cluster.
* Structure defined below.
*/
public data class ClusterArgs(
public val clusterConfig: Output? = null,
public val gracefulDecommissionTimeout: Output? = null,
public val labels: Output>? = null,
public val name: Output? = null,
public val project: Output? = null,
public val region: Output? = null,
public val virtualClusterConfig: Output? = null,
) : ConvertibleToJava {
override fun toJava(): com.pulumi.gcp.dataproc.ClusterArgs =
com.pulumi.gcp.dataproc.ClusterArgs.builder()
.clusterConfig(clusterConfig?.applyValue({ args0 -> args0.let({ args0 -> args0.toJava() }) }))
.gracefulDecommissionTimeout(gracefulDecommissionTimeout?.applyValue({ args0 -> args0 }))
.labels(labels?.applyValue({ args0 -> args0.map({ args0 -> args0.key.to(args0.value) }).toMap() }))
.name(name?.applyValue({ args0 -> args0 }))
.project(project?.applyValue({ args0 -> args0 }))
.region(region?.applyValue({ args0 -> args0 }))
.virtualClusterConfig(
virtualClusterConfig?.applyValue({ args0 ->
args0.let({ args0 ->
args0.toJava()
})
}),
).build()
}
/**
* Builder for [ClusterArgs].
*/
@PulumiTagMarker
public class ClusterArgsBuilder internal constructor() {
private var clusterConfig: Output? = null
private var gracefulDecommissionTimeout: Output? = null
private var labels: Output>? = null
private var name: Output? = null
private var project: Output? = null
private var region: Output? = null
private var virtualClusterConfig: Output? = null
/**
* @param value Allows you to configure various aspects of the cluster.
* Structure defined below.
*/
@JvmName("dtjlwrygesmuydhr")
public suspend fun clusterConfig(`value`: Output) {
this.clusterConfig = value
}
/**
* @param value
*/
@JvmName("opagkpqoqruyvnyo")
public suspend fun gracefulDecommissionTimeout(`value`: Output) {
this.gracefulDecommissionTimeout = value
}
/**
* @param value The list of the labels (key/value pairs) configured on the resource and to be applied to instances in the cluster.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer
* to the field 'effective_labels' for all of the labels present on the resource.
*/
@JvmName("ghdbaicmgyhmxnva")
public suspend fun labels(`value`: Output>) {
this.labels = value
}
/**
* @param value The name of the cluster, unique within the project and
* zone.
* - - -
*/
@JvmName("xenbvitprafdbmsi")
public suspend fun name(`value`: Output) {
this.name = value
}
/**
* @param value The ID of the project in which the `cluster` will exist. If it
* is not provided, the provider project is used.
*/
@JvmName("gulokmajutuxvnml")
public suspend fun project(`value`: Output) {
this.project = value
}
/**
* @param value The region in which the cluster and associated nodes will be created in.
* Defaults to `global`.
*/
@JvmName("ewmmvimcpwbvxkii")
public suspend fun region(`value`: Output) {
this.region = value
}
/**
* @param value Allows you to configure a virtual Dataproc on GKE cluster.
* Structure defined below.
*/
@JvmName("ysjxkicejfkjiwnj")
public suspend fun virtualClusterConfig(`value`: Output) {
this.virtualClusterConfig = value
}
/**
* @param value Allows you to configure various aspects of the cluster.
* Structure defined below.
*/
@JvmName("hiftqsoxqulnneje")
public suspend fun clusterConfig(`value`: ClusterClusterConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.clusterConfig = mapped
}
/**
* @param argument Allows you to configure various aspects of the cluster.
* Structure defined below.
*/
@JvmName("hbircatectbndibm")
public suspend fun clusterConfig(argument: suspend ClusterClusterConfigArgsBuilder.() -> Unit) {
val toBeMapped = ClusterClusterConfigArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.clusterConfig = mapped
}
/**
* @param value
*/
@JvmName("xkuqswacmwoitcoy")
public suspend fun gracefulDecommissionTimeout(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.gracefulDecommissionTimeout = mapped
}
/**
* @param value The list of the labels (key/value pairs) configured on the resource and to be applied to instances in the cluster.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer
* to the field 'effective_labels' for all of the labels present on the resource.
*/
@JvmName("ligkerykajytywik")
public suspend fun labels(`value`: Map?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.labels = mapped
}
/**
* @param values The list of the labels (key/value pairs) configured on the resource and to be applied to instances in the cluster.
* **Note**: This field is non-authoritative, and will only manage the labels present in your configuration. Please refer
* to the field 'effective_labels' for all of the labels present on the resource.
*/
@JvmName("mkpiclaiexqjuuyj")
public fun labels(vararg values: Pair) {
val toBeMapped = values.toMap()
val mapped = toBeMapped.let({ args0 -> of(args0) })
this.labels = mapped
}
/**
* @param value The name of the cluster, unique within the project and
* zone.
* - - -
*/
@JvmName("kvupubcrfafcyhmx")
public suspend fun name(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.name = mapped
}
/**
* @param value The ID of the project in which the `cluster` will exist. If it
* is not provided, the provider project is used.
*/
@JvmName("fenqgpacixwuugsp")
public suspend fun project(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.project = mapped
}
/**
* @param value The region in which the cluster and associated nodes will be created in.
* Defaults to `global`.
*/
@JvmName("ewmdbtpfhumdqmia")
public suspend fun region(`value`: String?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.region = mapped
}
/**
* @param value Allows you to configure a virtual Dataproc on GKE cluster.
* Structure defined below.
*/
@JvmName("tqpricthligrkjnf")
public suspend fun virtualClusterConfig(`value`: ClusterVirtualClusterConfigArgs?) {
val toBeMapped = value
val mapped = toBeMapped?.let({ args0 -> of(args0) })
this.virtualClusterConfig = mapped
}
/**
* @param argument Allows you to configure a virtual Dataproc on GKE cluster.
* Structure defined below.
*/
@JvmName("tgdsynpfmyelrojq")
public suspend fun virtualClusterConfig(argument: suspend ClusterVirtualClusterConfigArgsBuilder.() -> Unit) {
val toBeMapped = ClusterVirtualClusterConfigArgsBuilder().applySuspend { argument() }.build()
val mapped = of(toBeMapped)
this.virtualClusterConfig = mapped
}
internal fun build(): ClusterArgs = ClusterArgs(
clusterConfig = clusterConfig,
gracefulDecommissionTimeout = gracefulDecommissionTimeout,
labels = labels,
name = name,
project = project,
region = region,
virtualClusterConfig = virtualClusterConfig,
)
}
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