Loading data from Yandex Direct to a Yandex Managed Service for ClickHouse® data mart using Yandex Cloud Functions, Yandex Object Storage, and Yandex Data Transfer

You can transfer data from Yandex Direct to Managed Service for ClickHouse® using Cloud Functions, Object Storage, and Data Transfer. To do this:

1. Transfer your data from Yandex Direct to Object Storage using Cloud Functions.
2. Transfer your data from Object Storage to Managed Service for ClickHouse® using Data Transfer.

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

Required paid resourcesRequired paid resources

The support cost for this solution includes:

• Fee for an Object Storage bucket: Covers data storage and bucket operations (see Object Storage pricing).
• Fee for function invocations (see Yandex Cloud Functions pricing).
• Fee for storing the secret and requests to the secret (see Yandex Lockbox pricing).
• Managed Service for ClickHouse® cluster fee: Covers the use of computational resources allocated to hosts (including ZooKeeper hosts) and disk storage (see Managed Service for ClickHouse® pricing).
• Fee for using public IP addresses for cluster hosts (see Virtual Private Cloud pricing).

Getting startedGetting started

1. Prepare the test data to load from Yandex Direct:

   1. Register the test application in Yandex.OAuth.

      Select Web services as the platform. In the Redirect URI field, paste the URL for debugging: https://oauth.yandex.ru/verification_code.

   2. Get a debug token for the application.

   3. Request test access to Yandex Direct for the application and wait for approval.

   4. Set up the sandbox in Yandex Direct with the Client role.

   5. (Optional) Check your setup by sending a request to the sandbox API from the application:

      Request example

      curl \
        --header 'Authorization: Bearer <debug_token>' \
        --header 'Accept-Language: en' \
        --data '
            {
              "method":"get",
              "params": {
                "SelectionCriteria": {},
                "FieldNames": [
                  "Id",
                  "Name"
                ]
              }
            }' \
        "https://api-sandbox.direct.yandex.com/json/v5/campaigns" | jq
      

      Response example

      {
        "result": {
          "Campaigns": [
            {
                "Id": 463476,
                "Name": "Test API Sandbox campaign 1"
            },
            {
                "Id": 463477,
                "Name": "Test API Sandbox campaign 2"
            },
            {
                "Id": 463478,
                "Name": "Test API Sandbox campaign 3"
            }
          ]
        }
      }
      

2. Prepare your Yandex Cloud infrastructure:

   Manually

   Terraform

   1. Create a service account named storage-lockbox-sa and assign the storage.uploader and lockbox.payloadViewer roles to it.

   2. Create a static access key for the storage-lockbox-sa service account.

   3. Create a secret in Yandex Lockbox with three key:value pairs:

      • access_key:<public_key>
      • secret_key:<private_key>
      • app_token:<application_debug_token>

   4. Create a bucket in Object Storage.

   5. Create a Managed Service for ClickHouse® cluster in any suitable configuration with publicly available hosts.

   6. If using security groups, make sure they are configured correctly and allow inbound connections to your Managed Service for ClickHouse® cluster.

   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 ya-direct-to-mch.tf configuration file to the same working directory.

      This file describes:

      • Network.
      • Subnet.
      • Security group and rules required to connect to a Managed Service for ClickHouse® cluster.
      • Service account with the storage.uploader and lockbox.payloadViewer roles.
      • Static key for the service account.
      • Yandex Lockbox secret.
      • Object Storage bucket.
      • Cloud Functions serverless function.
      • Managed Service for ClickHouse® target cluster.
      • Managed Service for ClickHouse® target endpoint.
      • Transfer.

   6. In the ya-direct-to-mch.tf file, specify the following variables:

      • folder_id: Cloud folder ID matching the one in your provider settings.
      • app_token: Application debug token.
      • bucket_name: Object Storage bucket name. The name must be unique within the service.
      • ch_password: Managed Service for ClickHouse® cluster admin user password.

   7. Validate your Terraform configuration files using this command:

      terraform validate
      

      Terraform will display any configuration errors detected in your files.

   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.

Transfer your data from Yandex Direct to Object Storage using Cloud FunctionsTransfer your data from Yandex Direct to Object Storage using Cloud Functions

1. Download the example-py.zip archive file with a Python function.

   The function uses an application token to read marketing campaign IDs and names from the sandbox, then writes this data to an Object Storage bucket in Parquet format.

   The function accepts the following input:

   • Service account key
   • Application token
   • Bucket name

   Tip

   You can use this function to obtain real campaign data or make requests on behalf of the agency. To do this, extract the archive file and uncomment all the required parameters in example.py. See the code comments for details.

2. Create and configure a function in the Cloud Functions service:

   Manually

   Terraform

   1. Create a function.

   2. In the editor that opens, select Python as the runtime environment and clickContinue.

   3. Specify the required settings:

      • ZIP archive: ZIP archive.

      • File: Select the example-py.zip file you downloaded earlier.

      • Entry point: example.foo.

      • Service account: Select storage-lockbox-sa from the list.

      • Environment variables: Enter the bucket name in the key=value format:

        • Key: BUCKET.
        • Value: Name of the bucket created earlier (without the s3:// prefix).

      • Lockbox secrets: Specify the path to the three previously created Yandex Lockbox secrets as environment variables:

        • AWS_ACCESS_KEY_ID: access_key
        • AWS_SECRET_ACCESS_KEY: secret_key
        • TOKEN: app_token

      You can leave the other settings at their defaults.

   4. Click Save changes and wait for the function to compile.

   1. In the ya-direct-to-mch.tf file, specify the following variables:

      • path_to_zip_cf: Path to the ZIP archive file with the function code.
      • create_function: 1 to create a function.

   2. Validate your Terraform configuration files using this command:

      terraform validate
      

      Terraform will display any configuration errors detected in your files.

   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.

3. Open the function you created in the management console. Select Testing in the left-hand panel.

4. Click Run test and wait for the function to complete.

You will see a Parquet file in the bucket.

Transfer your data from Object Storage to Managed Service for ClickHouse® using Data TransferTransfer your data from Object Storage to Managed Service for ClickHouse® using Data Transfer

1. Create a source endpoint with the following parameters:

   • Database type: Yandex Object Storage.

   • Bucket: Object Storage bucket name.

   • Service account: Select the service account you created earlier from the list.

   • Endpoint: https://storage.yandexcloud.net.

   • Region: ru-central1.

   • Data format: Parquet.

   • Schema: {"Id": "int64", "Name": "string"}.

   • Table: Name of the Parquet file in the bucket, e.g., ac05e4fe818e463f88a8a299d290734d.snappy.parquet.

   • Result table schema: Select Manual and specify the following field names and data types:

     • Id: Int64
     • Name: String

   Keep the default values for all other settings.

2. Create an endpoint for the target and transfer:

   Manually

   Terraform

   1. Create a Managed Service for ClickHouse® target endpoint using the parameters of the cluster you created earlier.

   2. Create a transfer that will use the created endpoints.

   1. In the ya-direct-to-mch.tf file, specify the following variables:

      • source_endpoint_id: Source endpoint ID.
      • transfer_enabled: 1 (create a transfer).

   2. Make sure the Terraform configuration files are correct using this command:

      terraform validate
      

      Terraform will display any configuration errors detected in your files.

   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.

3. Activate the transfer and wait for its status to change to Completed.

4. Make sure the Object Storage source data was transferred to the Managed Service for ClickHouse® database:

   1. Connect to the cluster via clickhouse-client.

   2. Run this query:

      SELECT * FROM ac05e4fe818e463f88a8a299d290734d_snappy_parquet;
      

      Where ac05e4fe818e463f88a8a299d290734d is the Parquet file name.

      Response example

      ┌─────Id─┬─Name────────────────────────┬─__file_name─────────────────────────────────────┬─__row_index─┐
      │ 463476 │ Test API Sandbox campaign 1 │ ac05e4fe818e463f88a8a299d290734d.snappy.parquet │           1 │
      │ 463477 │ Test API Sandbox campaign 2 │ ac05e4fe818e463f88a8a299d290734d.snappy.parquet │           2 │
      │ 463478 │ Test API Sandbox campaign 3 │ ac05e4fe818e463f88a8a299d290734d.snappy.parquet │           3 │
      └────────┴─────────────────────────────┴─────────────────────────────────────────────────┴─────────────┘
      

Delete the resources you createdDelete the resources you created

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.
3. Delete the objects from the bucket.

Delete other resources using the same method used for their creation:

ClickHouse® is a registered trademark of ClickHouse, Inc.