Delivering data from an Data Streams queue to Managed Service for Apache Kafka®

With Data Transfer, you can deliver data from a Data Streams stream to a Managed Service for Apache Kafka® cluster.

To transfer data:

1. Set up a stream in Data Streams.
2. Set up and activate your transfer.
3. Test your transfer.

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

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).

• Fee for using public IP addresses for cluster hosts (see Virtual Private Cloud pricing).

• Fee for the Managed Service for YDB database. The charge depends on the usage mode:

  • For the serverless mode, you pay for data operations and the amount of stored data.
  • For the dedicated instance mode, you pay for the use of computing resources, dedicated DBs, and disk space.

  Learn more about the Managed Service for YDB pricing plans.

• Data Streams fee. The fee depends on the pricing mode:

  • Based on allocated resources: You pay for the number of units of written data and resources allocated for data streaming.
  • Based on actual use:

    • If the DB operates in serverless mode, the data stream is charged under the YDB serverless mode pricing policy.

    • If the DB operates in dedicated instance mode, the data stream is not charged separately (you only pay for the DB, see the pricing policy).

  Learn more about the Data Streams pricing plans.

• Transfer fee: Using computing resources and the number of transferred data rows (see Data Transfer pricing).

Getting startedGetting started

Prepare the data transfer infrastructure:

Create a Data Streams data streamCreate a Data Streams data stream

Create a Data Streams data stream.

Set up and activate the transferSet up and activate the transfer

1. Create an endpoint for the Data Streams source.

   • Database type: Yandex Data Streams.

   • Endpoint parameters:

     • Connection settings:

       • Database: Select the Managed Service for YDB database from the list.
       • Stream: Specify the name of the Data Streams-enabled stream.
       • Service account: Select or create a service account with the yds.editor role.

     • Advanced settings:

       • Conversion rules: JSON.
       • Data scheme: JSON specification:

       Fill in the data schema:

       Data schema

           [
               {
                   "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 Managed Service for Apache Kafka® target.

   • Database type: Kafka.

   • Endpoint parameters:

     • Connection settings:

       • Connection type: Select Managed Service for Apache Kafka cluster.
       • Managed Service for Apache Kafka cluster: Select a Managed Service for Apache Kafka® cluster from the list.
       • Authentication: Select SASL.
       • Username: Enter a name for the Managed Service for Apache Kafka® cluster user.
       • Password: Enter a password for the Managed Service for Apache Kafka® cluster user.
       • Topic: Select Topic full name.
       • Topic full name: Enter a name for the topic in Managed Service for Apache Kafka® cluster.

3. Create a transfer:

   Manually

   Terraform

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

   1. In the yds-to-kafka.tf file, specify the values of the following variables:

      • source_endpoint_id: Source endpoint ID.
      • target_endpoint_id: Target endpoint ID.
      • transfer_enabled: 1 to create a 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 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.

      The transfer will be activated automatically.

Test your transferTest your transfer

1. Wait until the transfer status switches to Replicating.

2. Send test data to the Data Streams stream:

   {
       "device_id":"iv9a94th6rzt********",
       "datetime":"2020-06-05T17:27:00",
       "latitude":"55.70329032",
       "longitude":"37.65472196",
       "altitude":"427.5",
       "speed":"0",
       "battery_voltage":"23.5",
       "cabin_temperature":"17",
       "fuel_level":null
   }
   

3. Make sure the data has been transferred to the sensors topic in the Managed Service for Apache Kafka® cluster:

   1. Get an SSL certificate to connect to the Managed Service for Apache Kafka® cluster.
   2. Install the kafkacat utility:
   3. Run the command for receiving messages from a topic.

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 endpoints for both the source and target.
3. If you had created a service account when creating the source endpoint, delete it.

Delete the other resources depending on how they were created: