pulumi-gcp-kotlin/com.pulumi.gcp.bigtable.kotlin/InstanceArgs

InstanceArgs

data class InstanceArgs(val clusters: Output<List<InstanceClusterArgs>>? = null, val deletionProtection: Output<Boolean>? = null, val displayName: Output<String>? = null, val forceDestroy: Output<Boolean>? = null, val instanceType: Output<String>? = null, val labels: Output<Map<String, String>>? = null, val name: Output<String>? = null, val project: Output<String>? = null) : ConvertibleToJava<InstanceArgs>

+---

subcategory: "Cloud Bigtable" description: |- Creates a Google Bigtable instance.

gcp.bigtable.Instance

Creates a Google Bigtable instance. For more information see:

API documentation
How-to Guides

Official Documentation

Example Usage

Simple Instance

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const production_instance = new gcp.bigtable.Instance("production-instance", {
    name: "tf-instance",
    clusters: [{
        clusterId: "tf-instance-cluster",
        numNodes: 1,
        storageType: "HDD",
    }],
    labels: {
        "my-label": "prod-label",
    },
});

import pulumi
import pulumi_gcp as gcp
production_instance = gcp.bigtable.Instance("production-instance",
    name="tf-instance",
    clusters=[{
        "cluster_id": "tf-instance-cluster",
        "num_nodes": 1,
        "storage_type": "HDD",
    }],
    labels={
        "my-label": "prod-label",
    })

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var production_instance = new Gcp.BigTable.Instance("production-instance", new()
    {
        Name = "tf-instance",
        Clusters = new[]
        {
            new Gcp.BigTable.Inputs.InstanceClusterArgs
            {
                ClusterId = "tf-instance-cluster",
                NumNodes = 1,
                StorageType = "HDD",
            },
        },
        Labels =
        {
            { "my-label", "prod-label" },
        },
    });
});

package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigtable"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := bigtable.NewInstance(ctx, "production-instance", &bigtable.InstanceArgs{
			Name: pulumi.String("tf-instance"),
			Clusters: bigtable.InstanceClusterArray{
				&bigtable.InstanceClusterArgs{
					ClusterId:   pulumi.String("tf-instance-cluster"),
					NumNodes:    pulumi.Int(1),
					StorageType: pulumi.String("HDD"),
				},
			},
			Labels: pulumi.StringMap{
				"my-label": pulumi.String("prod-label"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.bigtable.Instance;
import com.pulumi.gcp.bigtable.InstanceArgs;
import com.pulumi.gcp.bigtable.inputs.InstanceClusterArgs;
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 production_instance = new Instance("production-instance", InstanceArgs.builder()
            .name("tf-instance")
            .clusters(InstanceClusterArgs.builder()
                .clusterId("tf-instance-cluster")
                .numNodes(1)
                .storageType("HDD")
                .build())
            .labels(Map.of("my-label", "prod-label"))
            .build());
    }
}

resources:
  production-instance:
    type: gcp:bigtable:Instance
    properties:
      name: tf-instance
      clusters:
        - clusterId: tf-instance-cluster
          numNodes: 1
          storageType: HDD
      labels:
        my-label: prod-label

Replicated Instance

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const production_instance = new gcp.bigtable.Instance("production-instance", {
    name: "tf-instance",
    clusters: [
        {
            clusterId: "tf-instance-cluster1",
            numNodes: 1,
            storageType: "HDD",
            zone: "us-central1-c",
        },
        {
            clusterId: "tf-instance-cluster2",
            storageType: "HDD",
            zone: "us-central1-b",
            autoscalingConfig: {
                minNodes: 1,
                maxNodes: 3,
                cpuTarget: 50,
            },
        },
    ],
    labels: {
        "my-label": "prod-label",
    },
});

import pulumi
import pulumi_gcp as gcp
production_instance = gcp.bigtable.Instance("production-instance",
    name="tf-instance",
    clusters=[
        {
            "cluster_id": "tf-instance-cluster1",
            "num_nodes": 1,
            "storage_type": "HDD",
            "zone": "us-central1-c",
        },
        {
            "cluster_id": "tf-instance-cluster2",
            "storage_type": "HDD",
            "zone": "us-central1-b",
            "autoscaling_config": {
                "min_nodes": 1,
                "max_nodes": 3,
                "cpu_target": 50,
            },
        },
    ],
    labels={
        "my-label": "prod-label",
    })

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
    var production_instance = new Gcp.BigTable.Instance("production-instance", new()
    {
        Name = "tf-instance",
        Clusters = new[]
        {
            new Gcp.BigTable.Inputs.InstanceClusterArgs
            {
                ClusterId = "tf-instance-cluster1",
                NumNodes = 1,
                StorageType = "HDD",
                Zone = "us-central1-c",
            },
            new Gcp.BigTable.Inputs.InstanceClusterArgs
            {
                ClusterId = "tf-instance-cluster2",
                StorageType = "HDD",
                Zone = "us-central1-b",
                AutoscalingConfig = new Gcp.BigTable.Inputs.InstanceClusterAutoscalingConfigArgs
                {
                    MinNodes = 1,
                    MaxNodes = 3,
                    CpuTarget = 50,
                },
            },
        },
        Labels =
        {
            { "my-label", "prod-label" },
        },
    });
});

package main
import (
	"github.com/pulumi/pulumi-gcp/sdk/v8/go/gcp/bigtable"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := bigtable.NewInstance(ctx, "production-instance", &bigtable.InstanceArgs{
			Name: pulumi.String("tf-instance"),
			Clusters: bigtable.InstanceClusterArray{
				&bigtable.InstanceClusterArgs{
					ClusterId:   pulumi.String("tf-instance-cluster1"),
					NumNodes:    pulumi.Int(1),
					StorageType: pulumi.String("HDD"),
					Zone:        pulumi.String("us-central1-c"),
				},
				&bigtable.InstanceClusterArgs{
					ClusterId:   pulumi.String("tf-instance-cluster2"),
					StorageType: pulumi.String("HDD"),
					Zone:        pulumi.String("us-central1-b"),
					AutoscalingConfig: &bigtable.InstanceClusterAutoscalingConfigArgs{
						MinNodes:  pulumi.Int(1),
						MaxNodes:  pulumi.Int(3),
						CpuTarget: pulumi.Int(50),
					},
				},
			},
			Labels: pulumi.StringMap{
				"my-label": pulumi.String("prod-label"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.bigtable.Instance;
import com.pulumi.gcp.bigtable.InstanceArgs;
import com.pulumi.gcp.bigtable.inputs.InstanceClusterArgs;
import com.pulumi.gcp.bigtable.inputs.InstanceClusterAutoscalingConfigArgs;
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 production_instance = new Instance("production-instance", InstanceArgs.builder()
            .name("tf-instance")
            .clusters(
                InstanceClusterArgs.builder()
                    .clusterId("tf-instance-cluster1")
                    .numNodes(1)
                    .storageType("HDD")
                    .zone("us-central1-c")
                    .build(),
                InstanceClusterArgs.builder()
                    .clusterId("tf-instance-cluster2")
                    .storageType("HDD")
                    .zone("us-central1-b")
                    .autoscalingConfig(InstanceClusterAutoscalingConfigArgs.builder()
                        .minNodes(1)
                        .maxNodes(3)
                        .cpuTarget(50)
                        .build())
                    .build())
            .labels(Map.of("my-label", "prod-label"))
            .build());
    }
}

resources:
  production-instance:
    type: gcp:bigtable:Instance
    properties:
      name: tf-instance
      clusters:
        - clusterId: tf-instance-cluster1
          numNodes: 1
          storageType: HDD
          zone: us-central1-c
        - clusterId: tf-instance-cluster2
          storageType: HDD
          zone: us-central1-b
          autoscalingConfig:
            minNodes: 1
            maxNodes: 3
            cpuTarget: 50
      labels:
        my-label: prod-label

Import

Bigtable Instances can be imported using any of these accepted formats:

projects/{{project}}/instances/{{name}}
{{project}}/{{name}}
{{name}} When using the pulumi import command, Bigtable Instances can be imported using one of the formats above. For example:

$ pulumi import gcp:bigtable/instance:Instance default projects/{{project}}/instances/{{name}}

$ pulumi import gcp:bigtable/instance:Instance default {{project}}/{{name}}

$ pulumi import gcp:bigtable/instance:Instance default {{name}}

Constructors

InstanceArgs

constructor(clusters: Output<List<InstanceClusterArgs>>? = null, deletionProtection: Output<Boolean>? = null, displayName: Output<String>? = null, forceDestroy: Output<Boolean>? = null, instanceType: Output<String>? = null, labels: Output<Map<String, String>>? = null, name: Output<String>? = null, project: Output<String>? = null)

Properties

clusters

val clusters: Output<List<InstanceClusterArgs>>? = null

A block of cluster configuration options. This can be specified at least once, and up to as many as possible within 8 cloud regions. Removing the field entirely from the config will cause the provider to default to the backend value. See structure below.

deletionProtection

val deletionProtection: Output<Boolean>? = null

Whether or not to allow this provider to destroy the instance. Unless this field is set to false in the statefile, a pulumi destroy or pulumi up that would delete the instance will fail.

displayName

val displayName: Output<String>? = null

The human-readable display name of the Bigtable instance. Defaults to the instance name.

forceDestroy

val forceDestroy: Output<Boolean>? = null

Deleting a BigTable instance can be blocked if any backups are present in the instance. When force_destroy is set to true, the Provider will delete all backups found in the BigTable instance before attempting to delete the instance itself. Defaults to false.

instanceType

val ~~instanceType~~: Output<String>? = null

The instance type to create. One of "DEVELOPMENT" or "PRODUCTION". Defaults to "PRODUCTION". It is recommended to leave this field unspecified since the distinction between "DEVELOPMENT" and "PRODUCTION" instances is going away, and all instances will become "PRODUCTION" instances. This means that new and existing "DEVELOPMENT" instances will be converted to "PRODUCTION" instances. It is recommended for users to use "PRODUCTION" instances in any case, since a 1-node "PRODUCTION" instance is functionally identical to a "DEVELOPMENT" instance, but without the accompanying restrictions.

labels

val labels: Output<Map<String, String>>? = null

A set of key/value label pairs to assign to the resource. Label keys must follow the requirements at https://cloud.google.com/resource-manager/docs/creating-managing-labels#requirements. 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.

name

val name: Output<String>? = null

The name (also called Instance Id in the Cloud Console) of the Cloud Bigtable instance. Must be 6-33 characters and must only contain hyphens, lowercase letters and numbers.

project

val project: Output<String>? = null

The ID of the project in which the resource belongs. If it is not provided, the provider project is used.

Functions

toJava

open override fun toJava(): InstanceArgs