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In this article:

  • Getting started
  • Required paid resources
  • Set up your infrastructure
  • Configure additional settings
  • Send test data to the Managed Service for Apache Kafka® topic
  • Set up and activate the transfer
  • Test your transfer
  • Delete the resources you created
  1. Building a data platform
  2. Delivering data from Managed Service for Apache Kafka® to Managed Service for ClickHouse® using Data Transfer

Delivering data from Yandex Managed Service for Apache Kafka® to Yandex Managed Service for ClickHouse® using Yandex Data Transfer

Written by
Yandex Cloud
Updated at May 5, 2025
  • Getting started
    • Required paid resources
    • Set up your infrastructure
    • Configure additional settings
  • Send test data to the Managed Service for Apache Kafka® topic
  • Set up and activate the transfer
  • Test your transfer
  • Delete the resources you created

A Managed Service for ClickHouse® cluster can get data from Apache Kafka® topics in real time. This data will be automatically inserted into ClickHouse® Kafka tables.

To set up data delivery from Managed Service for Apache Kafka® to Managed Service for ClickHouse®:

  1. Send test data to Managed Service for Apache Kafka® topic.
  2. Set up and activate your transfer.
  3. Test your transfer.

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

Getting startedGetting started

Required paid resourcesRequired paid resources

The support cost includes:

  • Managed Service for Apache Kafka® cluster fee: Using computing resources allocated to hosts (including ZooKeeper hosts) and disk space (see Apache Kafka® pricing).
  • Managed Service for ClickHouse® cluster fee: Using computing resources allocated to hosts (including ZooKeeper hosts) and disk space (see Managed Service for ClickHouse® pricing).
  • Fee for using public IP addresses if public access is enabled for cluster hosts (see Virtual Private Cloud pricing).

Set up your infrastructureSet up your infrastructure

Manually
Terraform
  1. Create a Managed Service for Apache Kafka® source cluster in any suitable configuration. To connect to the cluster from the user's local machine rather than doing so from the Yandex Cloud cloud network, enable public access to the cluster when creating it.

  2. Create a topic in the Managed Service for Apache Kafka® cluster.

  3. Create users so that the producer and consumer can access the topic in the Managed Service for Apache Kafka® cluster:

    • With the ACCESS_ROLE_PRODUCER role for the producer.
    • With the ACCESS_ROLE_CONSUMER role for the consumer.
  4. Create a Managed Service for ClickHouse® target cluster in any suitable configuration. To connect to the cluster from the user's local machine rather than doing so from the Yandex Cloud cloud network, enable public access to the cluster when creating it.

  5. If you are using security groups, configure them to enable connecting to the clusters from the internet:

    • Managed Service for Apache Kafka®.
    • Managed Service for ClickHouse®.
  1. If you do not have Terraform yet, install it.

  2. Get the authentication credentials. You can add them to environment variables or specify them later in the provider configuration file.

  3. Configure and initialize a provider. There is no need to create a provider configuration file manually, you can download it.

  4. Place the configuration file in a separate working directory and specify the parameter values. If you did not add the authentication credentials to environment variables, specify them in the configuration file.

  5. Download the data-transfer-mkf-mch.tf configuration file to the same working directory.

    This file describes:

    • Network.
    • Subnet.
    • security group and rules required to connect to the clusters from the internet.
    • Managed Service for Apache Kafka® source cluster.
    • Topic and two Apache Kafka® users on whose behalf the producer and consumer will connect to the topic.
    • Managed Service for ClickHouse® target cluster.
    • Target endpoint.
    • Transfer.
  6. Specify the following in the data-transfer-mkf-mch.tf file:

    • Managed Service for Apache Kafka® source cluster parameters:

      • source_user_producer and source_password_producer: Producer's username and password.
      • source_user_consumer and source_password_consumer: Consumer's username and password.
      • source_topic_name: Topic name.
    • The Managed Service for ClickHouse® target cluster parameters that will be used as the target endpoint parameters:

      • target_db_name: Managed Service for ClickHouse® database name.
      • target_user and target_password: Name and user password of the database owner.
  7. Make sure the Terraform configuration files are correct using this command:

    terraform validate
    

    If there are any errors in the configuration files, Terraform will point them out.

  8. Create the required infrastructure:

    1. Run this command to view the planned changes:

      terraform plan
      

      If you described the configuration correctly, the terminal will display a list of the resources to update and their parameters. This is a verification step that does not apply changes to your resources.

    2. If everything looks correct, apply the changes:

      1. Run this command:

        terraform apply
        
      2. Confirm updating the resources.

      3. Wait for the operation to complete.

    All the required resources will be created in the specified folder. You can check resource availability and their settings in the management console.

Configure additional settingsConfigure additional settings

  1. Install the utilities:

    • kafkacat: To read and write data to the Apache Kafka® topic.

      sudo apt update && sudo apt install --yes kafkacat
      

      Check that you can use it to connect to Managed Service for Apache Kafka® clusters over SSL.

    • clickhouse-client: To connect to the database in the Managed Service for ClickHouse® cluster.

      1. Connect the ClickHouse® DEB repository:

        sudo apt update && sudo apt install --yes apt-transport-https ca-certificates dirmngr && \
        sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv E0C56BD4 && \
        echo "deb https://packages.clickhouse.com/deb stable main" | sudo tee \
        /etc/apt/sources.list.d/clickhouse.list
        
      2. Install the dependencies:

        sudo apt update && sudo apt install --yes clickhouse-client
        
      3. Download the configuration file for clickhouse-client:

        mkdir -p ~/.clickhouse-client && \
        wget "https://storage.yandexcloud.net/doc-files/clickhouse-client.conf.example" \
          --output-document ~/.clickhouse-client/config.xml
        

      Check that you can use it to connect to the Managed Service for ClickHouse® cluster over SSL.

    • jq for JSON file stream processing.

      sudo apt update && sudo apt-get install --yes jq
      

Send test data to the Managed Service for Apache Kafka® topicSend test data to the Managed Service for Apache Kafka® topic

Suppose that your Apache Kafka® topic receives data from car sensors. This data will be transmitted as Apache Kafka® messages in JSON format:

{
    "device_id":"iv9a94th6rzt********",
    "datetime":"2020-06-05 17:27:00",
    "latitude":"55.70329032",
    "longitude":"37.65472196",
    "altitude":"427.5",
    "speed":"0",
    "battery_voltage":"23.5",
    "cabin_temperature":"17",
    "fuel_level":null
}

The Managed Service for ClickHouse® cluster will use JSONEachRow data format to insert data into Kafka tables. This format converts strings from Apache Kafka® messages to relevant column values.

  1. Create a sample.json file with test data:

    sample.json
    {
        "device_id": "iv9a94th6rzt********",
        "datetime": "2020-06-05 17:27:00",
        "latitude": 55.70329032,
        "longitude": 37.65472196,
        "altitude": 427.5,
        "speed": 0,
        "battery_voltage": 23.5,
        "cabin_temperature": 17,
        "fuel_level": null
    }
    
    {
        "device_id": "rhibbh3y08qm********",
        "datetime": "2020-06-06 09:49:54",
        "latitude": 55.71294467,
        "longitude": 37.66542005,
        "altitude": 429.13,
        "speed": 55.5,
        "battery_voltage": null,
        "cabin_temperature": 18,
        "fuel_level": 32
    }
    
    {
        "device_id": "iv9a94th6rzt********",
        "datetime": "2020-06-07 15:00:10",
        "latitude": 55.70985913,
        "longitude": 37.62141918,
        "altitude": 417.0,
        "speed": 15.7,
        "battery_voltage": 10.3,
        "cabin_temperature": 17,
        "fuel_level": null
    }
    
  2. Send data from the sample.json file to the Managed Service for Apache Kafka® topic using jq and kafkacat:

    jq -rc . sample.json | kafkacat -P \
       -b <broker_host_FQDN>:9091 \
       -t <topic_name> \
       -k key \
       -X security.protocol=SASL_SSL \
       -X sasl.mechanisms=SCRAM-SHA-512 \
       -X sasl.username="<username_for_producer>" \
       -X sasl.password="<user_password_for_producer>" \
       -X ssl.ca.location=/usr/local/share/ca-certificates/Yandex/RootCA.crt -Z
    

Set up and activate the transferSet up and activate the transfer

Note

To rapidly deliver a large volume of data, use special endpoint settings.

  1. Create a source endpoint:

    • Database type: Kafka

    • Endpoint parameters → Connection settings:

      • Connection type: Managed Service for Apache Kafka cluster

        • Managed Service for Apache Kafka cluster: Select the source cluster from the list.

        • Authentication:

          • Username: Enter the consumer username.
          • Password: Enter the consumer password.
      • Topic full name: Enter the name of the topic in the Managed Service for Apache Kafka® cluster.

      • (Optional) : Advanced settings → Conversion rules:

        • Data format: JSON

        • Data scheme: JSON specification:

          Create and upload a json_schema.json data schema file:

          json_schema.json
          [
              {
                  "name": "device_id",
                  "type": "string"
              },
              {
                  "name": "datetime",
                  "type": "datetime"
              },
              {
                  "name": "latitude",
                  "type": "double"
              },
              {
                  "name": "longitude",
                  "type": "double"
              },
              {
                  "name": "altitude",
                  "type": "double"
              },
              {
                  "name": "speed",
                  "type": "double"
              },
              {
                  "name": "battery_voltage",
                  "type": "any"
              },
              {
                  "name": "cabin_temperature",
                  "type": "double"
              },
              {
                  "name": "fuel_level",
                  "type": "any"
              }
          ]
          
  2. Create an endpoint for the target and the transfer:

    Manually
    Terraform
    1. Create a target endpoint:

      • Database type: ClickHouse.

      • Endpoint parameters:

        • Connection settings:

          • Connection type: Managed cluster.

            • Managed cluster: Select the source cluster from the list.
          • Database: Enter the database name.

          • User and Password: Enter the name and password of the user who has access to the database (for example, the database owner).

        • Advanced settings → Upload data in JSON format: Enable this option if you enabled Conversion rules in the advanced settings of the source endpoint.

    2. Create a transfer of the Replication type that will use the endpoints you created.

    3. Activate your transfer.

    1. In the data-transfer-mkf-mch.tf file, uncomment the following:

      • The source_endpoint_id variable and set it to the value of the endpoint ID for the source created in the previous step.
      • yandex_datatransfer_endpoint and yandex_datatransfer_transfer resources.
    2. Make sure the Terraform configuration files are correct using this command:

      terraform validate
      

      If there are any errors in the configuration files, Terraform will point them out.

    3. Create the required infrastructure:

      1. Run this command to view the planned changes:

        terraform plan
        

        If you described the configuration correctly, the terminal will display a list of the resources to update and their parameters. This is a verification step that does not apply changes to your resources.

      2. If everything looks correct, apply the changes:

        1. Run this command:

          terraform apply
          
        2. Confirm updating the resources.

        3. Wait for the operation to complete.

      Once created, your transfer will be activated automatically.

Test your transferTest your transfer

  1. Wait until the transfer status switches to Replicating.

  2. Make sure the data from the source Managed Service for Apache Kafka® cluster has been moved to the Managed Service for ClickHouse® database:

    1. Connect to the cluster using clickhouse-client.

    2. Run this request:

      SELECT * FROM <ClickHouse®_database_name>.<Apache_Kafka_topic_name>
      
  3. Change values in the sample.json file and send data from it to the Managed Service for Apache Kafka® topic:

    jq -rc . sample.json | kafkacat -P \
       -b <broker_host_FQDN>:9091 \
       -t <topic_name> \
       -k key \
       -X security.protocol=SASL_SSL \
       -X sasl.mechanisms=SCRAM-SHA-512 \
       -X sasl.username="<username_for_producer>" \
       -X sasl.password="<user_password_for_producer>" \
       -X ssl.ca.location=/usr/local/share/ca-certificates/Yandex/RootCA.crt -Z
    
  4. Make sure that the new values are now in the Managed Service for ClickHouse® database:

    1. Connect to the cluster using clickhouse-client.

    2. Run this request:

      SELECT * FROM <ClickHouse®_database_name>.<Apache_Kafka_topic_name>
      

Delete the resources you createdDelete the resources you created

Note

Before deleting the resources you created, deactivate the transfer.

Some resources are not free of charge. To avoid paying for them, delete the resources you no longer need:

  1. Delete the transfer.
  2. Delete the source endpoint.

Delete the other resources depending on how they were created:

Manually
Terraform
  • Delete the target endpoint.
  • Delete the Managed Service for Apache Kafka® cluster.
  • Delete the Managed Service for ClickHouse® cluster.
  1. In the terminal window, go to the directory containing the infrastructure plan.

    Warning

    Make sure the directory has no Terraform manifests with the resources you want to keep. Terraform deletes all resources that were created using the manifests in the current directory.

  2. Delete resources:

    1. Run this command:

      terraform destroy
      
    2. Confirm deleting the resources and wait for the operation to complete.

    All the resources described in the Terraform manifests will be deleted.

ClickHouse® is a registered trademark of ClickHouse, Inc.

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