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Tutorials
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      • Analyzing data with Query
      • Working with data in Object Storage
      • Working with data in Managed Service for ClickHouse®
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      • Federated data queries

In this article:

  • Getting started
  • Required paid resources
  • Set up your infrastructure
  • Create a folder
  • Create a service account for the DataSphere project
  • Add the service account to the project
  • Create an authorized key for a service account
  • Create a secret
  • Create a notebook
  • Getting started with Query
  • Create a Managed Service for ClickHouse® cluster
  • Create a table
  • Connect to Managed Service for ClickHouse® data
  • How to delete the resources you created
  1. Machine learning and artificial intelligence
  2. Analytics with DataSphere
  3. Working with data in Managed Service for ClickHouse®

Working with data in Yandex Managed Service for ClickHouse®

Written by
Yandex Cloud
Updated at November 26, 2025
  • Getting started
    • Required paid resources
  • Set up your infrastructure
    • Create a folder
    • Create a service account for the DataSphere project
    • Add the service account to the project
    • Create an authorized key for a service account
    • Create a secret
    • Create a notebook
  • Getting started with Query
  • Create a Managed Service for ClickHouse® cluster
    • Create a table
  • Connect to Managed Service for ClickHouse® data
  • How to delete the resources you created

Yandex Query is an interactive service for serverless data analysis. You can use it to process information from various storages without having to to create a dedicated cluster. Yandex Query supports Yandex Object Storage, Yandex Managed Service for PostgreSQL, and Yandex Managed Service for ClickHouse® data storages.

Follow this tutorial to connect to a Managed Service for ClickHouse® database and query it from a JupyterLab notebook with the help of Query.

  1. Set up the infrastructure.
  2. Get started in Query.
  3. Create a Managed Service for ClickHouse® cluster.
  4. Connect to the Managed Service for ClickHouse® data.

If you no longer need the resources you created, delete them.

Getting startedGetting started

Before getting started, register in Yandex Cloud, set up a community, and link your billing account to it.

  1. On the DataSphere home page, click Try for free and select an account to log in with: Yandex ID or your working account with the identity federation (SSO).
  2. Select the Yandex Identity Hub organization you are going to use in Yandex Cloud.
  3. Create a community.
  4. Link your billing account to the DataSphere community you are going to work in. Make sure you have a linked billing account and its status is ACTIVE or TRIAL_ACTIVE. If you do not have a billing account yet, create one in the DataSphere interface.

Required paid resourcesRequired paid resources

The cost of infrastructure support for working with Managed Service for ClickHouse® data includes:

  • Fee for using DataSphere computing resources.
  • Fee for a running Managed Service for ClickHouse® cluster.
  • Fee for the amount of read data when running Query queries.

Set up your infrastructureSet up your infrastructure

Log in to the Yandex Cloud management console and select the organization you use to access DataSphere. On the Yandex Cloud Billing page, make sure you have a billing account linked.

If you have an active billing account, you can go to the cloud page to create or select a folder to run your infrastructure.

Note

If you are using an identity federation to work with Yandex Cloud, you might not have access to billing details. In this case, contact your Yandex Cloud organization administrator.

Create a folderCreate a folder

Management console
  1. In the management console, select a cloud and click Create folder.
  2. Name your folder, e.g., data-folder.
  3. Click Create.

Create a service account for the DataSphere projectCreate a service account for the DataSphere project

Management console
  1. Navigate to data-folder.
  2. In the list of services, select Identity and Access Management.
  3. Click Create service account.
  4. Name the service account, e.g., yq-sa.
  5. Click Add role and assign the following roles to the service account:
    • yq.editor to run Query queries.
    • managed-clickhouse.viewer to view the contents of the Managed Service for ClickHouse® cluster.
  6. Click Create.

Add the service account to the projectAdd the service account to the project

To enable the service account to run a DataSphere project, add it to the list of project members.

  1. Select the project in your community or on the DataSphere home page in the Recent projects tab.

  2. In the Members tab, click Add member.
  3. Select the yq-sa account and click Add.
  4. Switch your service account role to Editor.

Create an authorized key for a service accountCreate an authorized key for a service account

To allow the service account to send queries using Query, create an authorized key.

Note

Authorized keys do not expire, but you can always get new authorized keys and get authenticated again if something goes wrong.

Management console
  1. In the management console, navigate to data-folder.
  2. In the list of services, select Identity and Access Management.
  3. In the left-hand panel, select Service accounts.
  4. In the list that opens, select yq-sa.
  5. Click Create new key in the top panel and select Create authorized key.
  6. Select the encryption algorithm and click Create.
  7. Click Download file with keys.

Create a secretCreate a secret

To get an authorized key from the notebook, create a secret with the contents of the authorized key file.

  1. Select the project in your community or on the DataSphere home page in the Recent projects tab.

  2. Under Project resources, click Secret.
  3. Click Create.
  4. In the Name field, enter a name for the secret: yq_access_key.
  5. In the Value field, paste the full contents of the authorized key file you downloaded.
  6. Click Create.

Create a notebookCreate a notebook

Queries to the Managed Service for ClickHouse® database through Query will be sent from the notebook.

  1. Select the project in your community or on the DataSphere home page in the Recent projects tab.

  2. Click Open project in JupyterLab and wait for the loading to complete.
  3. In the top panel, click File and select New ⟶ Notebook.
  4. Select a kernel and click Select.

Getting started with QueryGetting started with Query

The yandex_query_magic package provides magic commands for working in Jupyter. Install it to send queries to Query. Paste the code into the yq-storage.ipynb notebook cells.

  1. Open the DataSphere project:

    1. Select the project in your community or on the DataSphere home page in the Recent projects tab.

    2. Click Open project in JupyterLab and wait for the loading to complete.
    3. Open the notebook tab.
  2. Install the yandex_query_magic package:

    %pip install yandex_query_magic
    
  3. Once the installation is complete, from the top panel, select Kernel ⟶ Restart kernel....

  4. Upload the extension:

    %load_ext yandex_query_magic
    
  5. Configure the connection by specifying the data-folder ID and the name of the authorized key secret:

    %yq_settings --folder-id <folder_ID> --env-auth yq_access_key
    
  6. Run a test query to Query:

    %yq select "Hello, world!"
    

Create a Managed Service for ClickHouse® clusterCreate a Managed Service for ClickHouse® cluster

Any running Managed Service for ClickHouse® cluster with the Yandex Query access option enabled is suitable for sending queries.

Management console
  1. In the management console, select data-folder.

  2. Select Managed Service for ClickHouse.

  3. Click Create cluster.

  4. In the Cluster name field, enter the cluster name, e.g., clickhouse.

  5. Under DBMS settings:

    • In the User management via SQL field, select Enabled from the drop-down list.
    • Specify Username and Password.
  6. Under Service settings:

    • Select the yq-sa service account.
    • Enable Yandex Query access and Access from the management console.
  7. You can leave the other settings at their defaults.

  8. Click Create cluster.

Create a tableCreate a table

In this step, you will create a test table with numbers from 0 to 100.

Management console
  1. In the management console, open the clickhouse cluster page and navigate to the SQL tab.

  2. Enter Username and Password you specified when creating the cluster.

  3. In the input window on the right, paste an SQL query:

    CREATE TABLE test(col1 int)
        ENGINE = MergeTree
            ORDER BY col1;
    
    INSERT INTO test
    SELECT
        *
    FROM numbers(100)
    
  4. Click Execute.

Connect to Managed Service for ClickHouse® dataConnect to Managed Service for ClickHouse® data

To create a Query connection:

Management console
  1. In the management console, select data-folder.

  2. In the list of services, select Yandex Query.

  3. In the left-hand panel, select Connections.

  4. Click Create new.

  5. Name the connection, e.g., clickhouse.

  6. Select the Managed Service for ClickHouse connection type.

  7. Under Connection type parameters:

    • Cluster: Select the clickhouse cluster you created earlier.
    • Service account: Select the yq-sa service account.
    • Enter Login and Password you specified when creating the cluster.
  8. Click Create.

To check the connection, get the table data from the notebook cell:

%yq SELECT * FROM clickhouse.test

How to delete the resources you createdHow to delete the resources you created

To stop paying for the resources you created:

  • Delete the database cluster.
  • Delete the project.

ClickHouse® is a registered trademark of ClickHouse, Inc.

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