confluent_kafka_cluster_config Resource

General Availability

confluent_kafka_cluster_config provides a Kafka cluster config resource that enables updating configs on a Dedicated Kafka cluster on Confluent Cloud.

Example Usage

Option #1: Manage multiple Kafka clusters in the same Terraform workspace

provider "confluent" {
  cloud_api_key    = var.confluent_cloud_api_key    # optionally use CONFLUENT_CLOUD_API_KEY env var
  cloud_api_secret = var.confluent_cloud_api_secret # optionally use CONFLUENT_CLOUD_API_SECRET env var
}

resource "confluent_kafka_cluster_config" "orders" {
  kafka_cluster {
    id = confluent_kafka_cluster.dedicated.id
  }
  rest_endpoint = confluent_kafka_cluster.dedicated.rest_endpoint
  config = {
    "auto.create.topics.enable" = "true"
    "log.retention.ms" = "604800123"
  }
  credentials {
    key    = confluent_api_key.app-manager-kafka-api-key.id
    secret = confluent_api_key.app-manager-kafka-api-key.secret
  }
}

Option #2: Manage a single Kafka cluster in the same Terraform workspace

provider "confluent" {
  kafka_id            = var.kafka_id                   # optionally use KAFKA_ID env var
  kafka_rest_endpoint = var.kafka_rest_endpoint        # optionally use KAFKA_REST_ENDPOINT env var
  kafka_api_key       = var.kafka_api_key              # optionally use KAFKA_API_KEY env var
  kafka_api_secret    = var.kafka_api_secret           # optionally use KAFKA_API_SECRET env var
}

resource "confluent_kafka_cluster_config" "orders" {
  config = {
    "auto.create.topics.enable" = "true"
    "log.retention.ms" = "604800123"
  }
}

Argument Reference

The following arguments are supported:

Attributes Reference

In addition to the preceding arguments, the following attributes are exported:

Import

You can import a Kafka cluster config by using the Kafka cluster ID, for example:

# Option #1: Manage multiple Kafka clusters in the same Terraform workspace
$ export IMPORT_KAFKA_API_KEY="<kafka_api_key>"
$ export IMPORT_KAFKA_API_SECRET="<kafka_api_secret>"
$ export IMPORT_KAFKA_REST_ENDPOINT="<kafka_rest_endpoint>"
$ terraform import confluent_kafka_cluster_config.test lkc-abc123

# Option #2: Manage a single Kafka cluster in the same Terraform workspace
$ terraform import confluent_kafka_cluster_config.test lkc-abc123