gcp.managedkafka.Topic
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Example Usage
Managedkafka Topic Basic
import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";
const project = gcp.organizations.getProject({});
const cluster = new gcp.managedkafka.Cluster("cluster", {
clusterId: "my-cluster",
location: "us-central1",
capacityConfig: {
vcpuCount: "3",
memoryBytes: "3221225472",
},
gcpConfig: {
accessConfig: {
networkConfigs: [{
subnet: project.then(project => `projects/${project.number}/regions/us-central1/subnetworks/default`),
}],
},
},
});
const example = new gcp.managedkafka.Topic("example", {
topicId: "my-topic",
cluster: cluster.clusterId,
location: "us-central1",
partitionCount: 2,
replicationFactor: 3,
configs: {
"cleanup.policy": "compact",
},
});
import pulumi
import pulumi_gcp as gcp
project = gcp.organizations.get_project()
cluster = gcp.managedkafka.Cluster("cluster",
cluster_id="my-cluster",
location="us-central1",
capacity_config=gcp.managedkafka.ClusterCapacityConfigArgs(
vcpu_count="3",
memory_bytes="3221225472",
),
gcp_config=gcp.managedkafka.ClusterGcpConfigArgs(
access_config=gcp.managedkafka.ClusterGcpConfigAccessConfigArgs(
network_configs=[gcp.managedkafka.ClusterGcpConfigAccessConfigNetworkConfigArgs(
subnet=f"projects/{project.number}/regions/us-central1/subnetworks/default",
)],
),
))
example = gcp.managedkafka.Topic("example",
topic_id="my-topic",
cluster=cluster.cluster_id,
location="us-central1",
partition_count=2,
replication_factor=3,
configs={
"cleanup.policy": "compact",
})
package main
import (
"fmt"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/managedkafka"
"github.com/pulumi/pulumi-gcp/sdk/v7/go/gcp/organizations"
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
project, err := organizations.LookupProject(ctx, nil, nil)
if err != nil {
return err
}
cluster, err := managedkafka.NewCluster(ctx, "cluster", &managedkafka.ClusterArgs{
ClusterId: pulumi.String("my-cluster"),
Location: pulumi.String("us-central1"),
CapacityConfig: &managedkafka.ClusterCapacityConfigArgs{
VcpuCount: pulumi.String("3"),
MemoryBytes: pulumi.String("3221225472"),
},
GcpConfig: &managedkafka.ClusterGcpConfigArgs{
AccessConfig: &managedkafka.ClusterGcpConfigAccessConfigArgs{
NetworkConfigs: managedkafka.ClusterGcpConfigAccessConfigNetworkConfigArray{
&managedkafka.ClusterGcpConfigAccessConfigNetworkConfigArgs{
Subnet: pulumi.String(fmt.Sprintf("projects/%v/regions/us-central1/subnetworks/default", project.Number)),
},
},
},
},
})
if err != nil {
return err
}
_, err = managedkafka.NewTopic(ctx, "example", &managedkafka.TopicArgs{
TopicId: pulumi.String("my-topic"),
Cluster: cluster.ClusterId,
Location: pulumi.String("us-central1"),
PartitionCount: pulumi.Int(2),
ReplicationFactor: pulumi.Int(3),
Configs: pulumi.StringMap{
"cleanup.policy": pulumi.String("compact"),
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;
return await Deployment.RunAsync(() =>
{
var project = Gcp.Organizations.GetProject.Invoke();
var cluster = new Gcp.ManagedKafka.Cluster("cluster", new()
{
ClusterId = "my-cluster",
Location = "us-central1",
CapacityConfig = new Gcp.ManagedKafka.Inputs.ClusterCapacityConfigArgs
{
VcpuCount = "3",
MemoryBytes = "3221225472",
},
GcpConfig = new Gcp.ManagedKafka.Inputs.ClusterGcpConfigArgs
{
AccessConfig = new Gcp.ManagedKafka.Inputs.ClusterGcpConfigAccessConfigArgs
{
NetworkConfigs = new[]
{
new Gcp.ManagedKafka.Inputs.ClusterGcpConfigAccessConfigNetworkConfigArgs
{
Subnet = $"projects/{project.Apply(getProjectResult => getProjectResult.Number)}/regions/us-central1/subnetworks/default",
},
},
},
},
});
var example = new Gcp.ManagedKafka.Topic("example", new()
{
TopicId = "my-topic",
Cluster = cluster.ClusterId,
Location = "us-central1",
PartitionCount = 2,
ReplicationFactor = 3,
Configs =
{
{ "cleanup.policy", "compact" },
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetProjectArgs;
import com.pulumi.gcp.managedkafka.Cluster;
import com.pulumi.gcp.managedkafka.ClusterArgs;
import com.pulumi.gcp.managedkafka.inputs.ClusterCapacityConfigArgs;
import com.pulumi.gcp.managedkafka.inputs.ClusterGcpConfigArgs;
import com.pulumi.gcp.managedkafka.inputs.ClusterGcpConfigAccessConfigArgs;
import com.pulumi.gcp.managedkafka.Topic;
import com.pulumi.gcp.managedkafka.TopicArgs;
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) {
final var project = OrganizationsFunctions.getProject();
var cluster = new Cluster("cluster", ClusterArgs.builder()
.clusterId("my-cluster")
.location("us-central1")
.capacityConfig(ClusterCapacityConfigArgs.builder()
.vcpuCount(3)
.memoryBytes(3221225472)
.build())
.gcpConfig(ClusterGcpConfigArgs.builder()
.accessConfig(ClusterGcpConfigAccessConfigArgs.builder()
.networkConfigs(ClusterGcpConfigAccessConfigNetworkConfigArgs.builder()
.subnet(String.format("projects/%s/regions/us-central1/subnetworks/default", project.applyValue(getProjectResult -> getProjectResult.number())))
.build())
.build())
.build())
.build());
var example = new Topic("example", TopicArgs.builder()
.topicId("my-topic")
.cluster(cluster.clusterId())
.location("us-central1")
.partitionCount(2)
.replicationFactor(3)
.configs(Map.of("cleanup.policy", "compact"))
.build());
}
}
resources:
cluster:
type: gcp:managedkafka:Cluster
properties:
clusterId: my-cluster
location: us-central1
capacityConfig:
vcpuCount: 3
memoryBytes: 3.221225472e+09
gcpConfig:
accessConfig:
networkConfigs:
- subnet: projects/${project.number}/regions/us-central1/subnetworks/default
example:
type: gcp:managedkafka:Topic
properties:
topicId: my-topic
cluster: ${cluster.clusterId}
location: us-central1
partitionCount: 2
replicationFactor: 3
configs:
cleanup.policy: compact
variables:
project:
fn::invoke:
Function: gcp:organizations:getProject
Arguments: {}
Create Topic Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Topic(name: string, args: TopicArgs, opts?: CustomResourceOptions);
@overload
def Topic(resource_name: str,
args: TopicArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Topic(resource_name: str,
opts: Optional[ResourceOptions] = None,
cluster: Optional[str] = None,
location: Optional[str] = None,
replication_factor: Optional[int] = None,
topic_id: Optional[str] = None,
configs: Optional[Mapping[str, str]] = None,
partition_count: Optional[int] = None,
project: Optional[str] = None)
func NewTopic(ctx *Context, name string, args TopicArgs, opts ...ResourceOption) (*Topic, error)
public Topic(string name, TopicArgs args, CustomResourceOptions? opts = null)
type: gcp:managedkafka:Topic
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
Parameters
- name string
- The unique name of the resource.
- args TopicArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- resource_name str
- The unique name of the resource.
- args TopicArgs
- The arguments to resource properties.
- opts ResourceOptions
- Bag of options to control resource's behavior.
- ctx Context
- Context object for the current deployment.
- name string
- The unique name of the resource.
- args TopicArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args TopicArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args TopicArgs
- The arguments to resource properties.
- options CustomResourceOptions
- Bag of options to control resource's behavior.
Constructor example
The following reference example uses placeholder values for all input properties.
var topicResource = new Gcp.ManagedKafka.Topic("topicResource", new()
{
Cluster = "string",
Location = "string",
ReplicationFactor = 0,
TopicId = "string",
Configs =
{
{ "string", "string" },
},
PartitionCount = 0,
Project = "string",
});
example, err := managedkafka.NewTopic(ctx, "topicResource", &managedkafka.TopicArgs{
Cluster: pulumi.String("string"),
Location: pulumi.String("string"),
ReplicationFactor: pulumi.Int(0),
TopicId: pulumi.String("string"),
Configs: pulumi.StringMap{
"string": pulumi.String("string"),
},
PartitionCount: pulumi.Int(0),
Project: pulumi.String("string"),
})
var topicResource = new Topic("topicResource", TopicArgs.builder()
.cluster("string")
.location("string")
.replicationFactor(0)
.topicId("string")
.configs(Map.of("string", "string"))
.partitionCount(0)
.project("string")
.build());
topic_resource = gcp.managedkafka.Topic("topicResource",
cluster="string",
location="string",
replication_factor=0,
topic_id="string",
configs={
"string": "string",
},
partition_count=0,
project="string")
const topicResource = new gcp.managedkafka.Topic("topicResource", {
cluster: "string",
location: "string",
replicationFactor: 0,
topicId: "string",
configs: {
string: "string",
},
partitionCount: 0,
project: "string",
});
type: gcp:managedkafka:Topic
properties:
cluster: string
configs:
string: string
location: string
partitionCount: 0
project: string
replicationFactor: 0
topicId: string
Topic Resource Properties
To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.
Inputs
The Topic resource accepts the following input properties:
- Cluster string
- The cluster name.
- Location string
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- Replication
Factor int - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- Topic
Id string - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
. - Configs Dictionary<string, string>
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - Partition
Count int - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Cluster string
- The cluster name.
- Location string
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- Replication
Factor int - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- Topic
Id string - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
. - Configs map[string]string
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - Partition
Count int - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- cluster String
- The cluster name.
- location String
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- replication
Factor Integer - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- topic
Id String - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
. - configs Map<String,String>
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - partition
Count Integer - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- cluster string
- The cluster name.
- location string
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- replication
Factor number - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- topic
Id string - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
. - configs {[key: string]: string}
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - partition
Count number - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- cluster str
- The cluster name.
- location str
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- replication_
factor int - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- topic_
id str - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
. - configs Mapping[str, str]
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - partition_
count int - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- cluster String
- The cluster name.
- location String
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- replication
Factor Number - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- topic
Id String - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
. - configs Map<String>
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - partition
Count Number - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
Outputs
All input properties are implicitly available as output properties. Additionally, the Topic resource produces the following output properties:
Look up Existing Topic Resource
Get an existing Topic resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.
public static get(name: string, id: Input<ID>, state?: TopicState, opts?: CustomResourceOptions): Topic
@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
cluster: Optional[str] = None,
configs: Optional[Mapping[str, str]] = None,
location: Optional[str] = None,
name: Optional[str] = None,
partition_count: Optional[int] = None,
project: Optional[str] = None,
replication_factor: Optional[int] = None,
topic_id: Optional[str] = None) -> Topic
func GetTopic(ctx *Context, name string, id IDInput, state *TopicState, opts ...ResourceOption) (*Topic, error)
public static Topic Get(string name, Input<string> id, TopicState? state, CustomResourceOptions? opts = null)
public static Topic get(String name, Output<String> id, TopicState state, CustomResourceOptions options)
Resource lookup is not supported in YAML
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- resource_name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- name
- The unique name of the resulting resource.
- id
- The unique provider ID of the resource to lookup.
- state
- Any extra arguments used during the lookup.
- opts
- A bag of options that control this resource's behavior.
- Cluster string
- The cluster name.
- Configs Dictionary<string, string>
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - Location string
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- Name string
- The name of the topic. The
topic
segment is used when connecting directly to the cluster. Must be in the formatprojects/PROJECT_ID/locations/LOCATION/clusters/CLUSTER_ID/topics/TOPIC_ID
. - Partition
Count int - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Replication
Factor int - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- Topic
Id string - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
.
- Cluster string
- The cluster name.
- Configs map[string]string
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - Location string
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- Name string
- The name of the topic. The
topic
segment is used when connecting directly to the cluster. Must be in the formatprojects/PROJECT_ID/locations/LOCATION/clusters/CLUSTER_ID/topics/TOPIC_ID
. - Partition
Count int - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- Project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- Replication
Factor int - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- Topic
Id string - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
.
- cluster String
- The cluster name.
- configs Map<String,String>
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - location String
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- name String
- The name of the topic. The
topic
segment is used when connecting directly to the cluster. Must be in the formatprojects/PROJECT_ID/locations/LOCATION/clusters/CLUSTER_ID/topics/TOPIC_ID
. - partition
Count Integer - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- replication
Factor Integer - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- topic
Id String - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
.
- cluster string
- The cluster name.
- configs {[key: string]: string}
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - location string
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- name string
- The name of the topic. The
topic
segment is used when connecting directly to the cluster. Must be in the formatprojects/PROJECT_ID/locations/LOCATION/clusters/CLUSTER_ID/topics/TOPIC_ID
. - partition
Count number - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- project string
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- replication
Factor number - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- topic
Id string - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
.
- cluster str
- The cluster name.
- configs Mapping[str, str]
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - location str
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- name str
- The name of the topic. The
topic
segment is used when connecting directly to the cluster. Must be in the formatprojects/PROJECT_ID/locations/LOCATION/clusters/CLUSTER_ID/topics/TOPIC_ID
. - partition_
count int - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- project str
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- replication_
factor int - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- topic_
id str - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
.
- cluster String
- The cluster name.
- configs Map<String>
- Configuration for the topic that are overridden from the cluster defaults. The key of the map is a Kafka topic property name, for example:
cleanup.policy=compact
,compression.type=producer
. - location String
- ID of the location of the Apache Kafka for BigQuery resource. See https://cloud.google.com/managed-kafka/docs/locations for a list of supported locations.
- name String
- The name of the topic. The
topic
segment is used when connecting directly to the cluster. Must be in the formatprojects/PROJECT_ID/locations/LOCATION/clusters/CLUSTER_ID/topics/TOPIC_ID
. - partition
Count Number - The number of partitions in a topic. You can increase the partition count for a topic, but you cannot decrease it. Increasing partitions for a topic that uses a key might change how messages are distributed.
- project String
- The ID of the project in which the resource belongs. If it is not provided, the provider project is used.
- replication
Factor Number - The number of replicas of each partition. A replication factor of 3 is recommended for high availability.
- topic
Id String - The ID to use for the topic, which will become the final component of the topic's name. This value is structured like:
my-topic-name
.
Import
Topic can be imported using any of these accepted formats:
projects/{{project}}/locations/{{location}}/clusters/{{cluster}}/topics/{{topic_id}}
{{project}}/{{location}}/{{cluster}}/{{topic_id}}
{{location}}/{{cluster}}/{{topic_id}}
When using the pulumi import
command, Topic can be imported using one of the formats above. For example:
$ pulumi import gcp:managedkafka/topic:Topic default projects/{{project}}/locations/{{location}}/clusters/{{cluster}}/topics/{{topic_id}}
$ pulumi import gcp:managedkafka/topic:Topic default {{project}}/{{location}}/{{cluster}}/{{topic_id}}
$ pulumi import gcp:managedkafka/topic:Topic default {{location}}/{{cluster}}/{{topic_id}}
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- Google Cloud (GCP) Classic pulumi/pulumi-gcp
- License
- Apache-2.0
- Notes
- This Pulumi package is based on the
google-beta
Terraform Provider.