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Yandex Managed Service for Apache Spark™
  • Getting started
    • All guides
      • Information about existing clusters
      • Creating a cluster
      • Connecting to a cluster
      • Updating a cluster
      • Apache Spark™ version upgrade
      • Stopping and starting a cluster
      • Deleting a cluster
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In this article:

  • Stopping a cluster
  • Starting a cluster
  1. Step-by-step guides
  2. Clusters
  3. Stopping and starting a cluster

Stopping and restarting an Apache Spark™ cluster

Written by
Yandex Cloud
Updated at February 13, 2026
  • Stopping a cluster
  • Starting a cluster

If necessary, you can stop and restart your Apache Spark™ cluster. When stopped, a cluster retains all its data. The data will be available again as soon as you restart the cluster.

Stopping a clusterStopping a cluster

Management console
CLI
gRPC API
  1. In the management console, navigate to the relevant folder.
  2. Go to Managed Service for Apache Spark™.
  3. Find the cluster in the list, click , and select Stop.
  4. In the dialog box that opens, confirm that you want to stop the cluster and click Stop.

If you do not have the Yandex Cloud CLI installed yet, install and initialize it.

By default, the CLI uses the folder specified when creating the profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also set a different folder for any specific command using the --folder-name or --folder-id parameter.

To stop an Apache Spark™ cluster, run this command:

yc managed-spark cluster stop <cluster_name_or_ID>

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

  1. Get an IAM token for API authentication and place it in 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/Stop 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.Stop
    

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

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

Starting a clusterStarting a cluster

You can restart clusters with the Stopped status.

Management console
CLI
gRPC API
  1. In the management console, navigate to the relevant folder.
  2. Go to Managed Service for Apache Spark™.
  3. Find the stopped cluster in the list, click , and select Start.
  4. In the dialog box that opens, click Start.

If you do not have the Yandex Cloud CLI installed yet, install and initialize it.

By default, the CLI uses the folder specified when creating the profile. To change the default folder, use the yc config set folder-id <folder_ID> command. You can also set a different folder for any specific command using the --folder-name or --folder-id parameter.

To start an Apache Spark™ cluster, run this command:

yc managed-spark cluster start <cluster_name_or_ID>

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

  1. Get an IAM token for API authentication and place it in 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/Start 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.Start
    

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

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

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Apache Spark™ version upgrade
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Deleting a cluster
© 2026 Direct Cursus Technology L.L.C.