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

A Managed Service for MySQL® cluster can get data from Apache Kafka® topics in real time.

To run data delivery:

1. Prepare the test data.
2. Prepare and activate the transfer.
3. Test the transfer.

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

Getting startedGetting started

1. Prepare the data transfer infrastructure:

   Manually

   Terraform

   1. Create a Managed Service for Apache Kafka® source cluster with 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. In the source cluster, create a topic named sensors.

   3. In the source cluster, create a user named mkf-user with the ACCESS_ROLE_PRODUCER and ACCESS_ROLE_CONSUMER permissions for the created topic.

   4. Create a Managed Service for MySQL® target cluster in any suitable configuration with the following settings:

      • Database name: db1.
      • Username: mmy-user.
      • In the same availability zone as the source cluster.
      • To connect to the cluster from the user's local machine instead of the Yandex Cloud cloud network, enable public access to the cluster hosts.

   5. To connect to the cluster from the user's local machine, configure security groups:

      • Managed Service for Apache Kafka®.
      • Managed Service for MySQL®.

   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-mmy.tf configuration file to the same working directory.

      This file describes:

      • Network.
      • Subnet.
      • Security group and rules required to connect to the Managed Service for Apache Kafka® and Managed Service for MySQL® clusters.
      • Managed Service for Apache Kafka® source cluster.
      • Apache Kafka® topic named sensors.
      • Apache Kafka® user named mkf-user with the ACCESS_ROLE_PRODUCER and ACCESS_ROLE_CONSUMER permissions to the sensors topic.
      • Managed Service for MySQL® target cluster with the db1 database and the mmy-user user.
      • Target endpoint.
      • Transfer.

   6. In the data-transfer-mkf-mmy.tf file, specify the variables:

      • source_kf_version: Apache Kafka® version in the source cluster.
      • source_user_password: Password of mkf-user in the source cluster.
      • target_mysql_version: MySQL® version in the target cluster.
      • target_user_password: Password of mmy-user in the target cluster.
      • transfer_enabled: Set 0 to ensure that no transfer and target endpoint is created before you manually create a source endpoint.

   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 the command to view planned changes:

         terraform plan
         

         If the resource configuration descriptions are correct, the terminal will display a list of the resources to modify and their parameters. This is a test step. No resources are updated.

      2. If you are happy with the planned changes, apply them:

         1. Run the command:

            terraform apply
            

         2. Confirm the update of 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.

2. Install the utilities:

   • kafkacat to read and write data to Apache Kafka® topics.

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

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

   • jq for JSON file stream processing.

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

Prepare the test dataPrepare the test data

Let's assume the Apache Kafka® sensors topic in the source cluster receives data from car sensors in JSON format.

Create a local sample.json file with the following test data:

{
    "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
}

Prepare and activate the transferPrepare and activate the transfer

1. Create an endpoint for the Apache Kafka® source:

   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: SASL.

         • Username: mkf-user.
         • Password: Enter the user password.

     • Topic full name: sensors.

   • Advanced settings → Conversion rules:

     • Conversion rules: JSON.

       • Data scheme: JSON specification.

         Insert the data schema in JSON format:

         json

         [
             {
                 "name": "device_id",
                 "type": "utf8",
                 "key": true
             },
             {
                 "name": "datetime",
                 "type": "utf8"
             },
             {
                 "name": "latitude",
                 "type": "double"
             },
             {
                 "name": "longitude",
                 "type": "double"
             },
             {
                 "name": "altitude",
                 "type": "double"
             },
             {
                 "name": "speed",
                 "type": "double"
             },
             {
                 "name": "battery_voltage",
                 "type": "double"
             },
             {
                 "name": "cabin_temperature",
                 "type": "uint16"
             },
             {
                 "name": "fuel_level",
                 "type": "uint16"
             }
         ]
         

2. Create a target endpoint and a transfer:

   Manually

   Terraform

   1. Create an endpoint for the MySQL® target:

      • Endpoint parameters → Connection settings:

        • Connection type: Managed Service for MySQL cluster.

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

        • Database: db1.

        • User: mmy-user.

        • Password: Enter the user password.

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

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

   1. In the data-transfer-mkf-mmy.tf file, specify the variables:

      • source_endpoint_id: ID of the source endpoint.
      • transfer_enabled: Set to 1 to create a target endpoint and transfer.

   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 the command to view planned changes:

         terraform plan
         

         If the resource configuration descriptions are correct, the terminal will display a list of the resources to modify and their parameters. This is a test step. No resources are updated.

      2. If you are happy with the planned changes, apply them:

         1. Run the command:

            terraform apply
            

         2. Confirm the update of resources.

         3. Wait for the operation to complete.

   4. The transfer will be activated automatically. Wait for its status to change to Replicating.

Test the transferTest the transfer

Make sure the data from the topic in the source Managed Service for Apache Kafka® cluster is being moved to the Managed Service for MySQL® cluster:

1. Send data from the sample.json file to the Managed Service for Apache Kafka® sensors topic using jq and kafkacat:

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

   To learn more about setting up an SSL certificate and working with kafkacat, see Connecting to an Apache Kafka® cluster from applications.

2. Check that the sensors table in the Managed Service for MySQL® cluster contains the sent data:

   1. Connect to the Managed Service for MySQL® cluster.

   2. Get the contents of the sensors table using the query below:

      SELECT * FROM sensors;
      

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 endpoints for both the source and target.

Delete the other resources depending on how they were created: