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Yandex Managed Service for Apache Spark™
  • Getting started
    • All guides
      • Information about existing clusters
      • Creating a cluster
      • Updating a cluster
      • 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 starting a Apache Spark™ cluster

Written by
Yandex Cloud
Updated at October 20, 2025
  • Stopping a cluster
  • Starting a cluster

You can stop and restart an Apache Spark™ cluster as needed. 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
gRPC API
  1. In the management console, navigate to the relevant folder.
  2. In the list of services, select 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.
  1. Get an IAM token for API authentication and save it as 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 the repository contents are stored in the ~/cloudapi/ directory.

  3. Use the ClusterService/Stop call to make a request, e.g., via gRPCurl:

    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 with the list of clusters in the folder.

  4. View 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
gRPC API
  1. In the management console, navigate to the relevant folder.
  2. In the list of services, select Managed Service for Apache Spark™.
  3. Find the stopped cluster you need in the list, click , and select Start.
  4. In the dialog box that opens, click Start.
  1. Get an IAM token for API authentication and save it as 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 the repository contents are stored in the ~/cloudapi/ directory.

  3. Use the ClusterService/Start call to make a request, e.g., via gRPCurl:

    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 with the list of clusters in the folder.

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

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Updating a cluster
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Deleting a cluster
© 2025 Direct Cursus Technology L.L.C.