Deleting an Apache Spark™ cluster

With Terraform, you can quickly create a cloud infrastructure in Yandex Cloud and manage it using configuration files. These files store the infrastructure description written in HashiCorp Configuration Language (HCL). If you change the configuration files, Terraform automatically detects which part of your configuration is already deployed, and what should be added or removed.

Terraform is distributed under the Business Source License. The Yandex Cloud provider for Terraform is distributed under the MPL-2.0 license.

For more information about the provider resources, see the relevant documentation on the Terraform website or its mirror.

If you do not have Terraform yet, install it and configure the Yandex Cloud provider.

To delete a cluster created using Terraform:

1. In the command line, go to the folder that houses the current Terraform configuration file with an infrastructure plan.

2. Delete the resources using this command:

   terraform destroy
   

   Alert

   Terraform will delete all the resources you created using it, such as clusters, networks, subnets, and VMs.

3. Type yes and press Enter.

1. Get an IAM token for API authentication and put it into an environment variable:

   export IAM_TOKEN="<IAM_token>"
   

2. Clone the cloudapi repository:

   cd ~/ && git clone --depth=1 https://github.com/yandex-cloud/cloudapi
   

   Below, we assume that the repository contents reside in the ~/cloudapi/ directory.

3. Call the ClusterService/Delete method, e.g., via the following gRPCurl request:

   grpcurl \
       -format json \
       -import-path ~/cloudapi/ \
       -import-path ~/cloudapi/third_party/googleapis/ \
       -proto ~/cloudapi/yandex/cloud/spark/v1/cluster_service.proto \
       -rpc-header "Authorization: Bearer $IAM_TOKEN" \
       -d '{
               "cluster_id": "<cluster_ID>"
           }' \
       spark.api.cloud.yandex.net:443 \
       yandex.cloud.spark.v1.ClusterService.Delete
   

   You can get the cluster ID with the list of clusters in the folder.

4. View the server response to make sure your request was successful.