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

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

To transfer data:

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

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

Required paid resourcesRequired paid resources

• Managed Service for YDB database (see Managed Service for YDB pricing). The cost depends on deployment mode:

  • In serverless mode, you pay for data operations and storage volume, including stored backups.
  • In dedicated instance mode, you pay for the use of computing resources allocated to the database, storage size, and backups.

• Data Streams (see Data Streams pricing). The cost depends on the pricing model:

  • Based on allocated resources: You pay a fixed hourly rate for the established throughput limit and message retention period, and additionally for the number of units of actually written data.
  • On-demand: You pay for the performed read/write operations, the amount of read or written data, and the actual storage used for messages that are still within their retention period.

• Managed Service for Apache Kafka® cluster: Computing resources allocated to hosts, storage and backup size (see Managed Service for Apache Kafka® pricing).

• Public IP addresses if public access is enabled for cluster hosts (see Virtual Private Cloud pricing).

• Each transfer: Use of computing resources and number of transferred data rows (see Data Transfer pricing).

Getting startedGetting started

Set up your data delivery infrastructure:

Create a data stream in Data StreamsCreate a data stream in Data Streams

Create a data stream in Data Streams.

Set up and activate the transferSet up and activate the transfer

1. Create a Data Streams source endpoint.

   • 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 stream in Data Streams.
       • 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 a target endpoint in Managed Service for Apache Kafka®.

   • Database type: Kafka.

   • Endpoint parameters:

     • Connection settings:

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

3. Create a transfer:

   Manually

   Terraform

   1. Create a Replication-type transfer configured to use the new endpoints.
   2. Activate the 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. 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.

      The transfer will be activated automatically.

Test your transferTest your transfer

1. Wait for the transfer status to change to Replicating.

2. Send test data to the stream in Data Streams:

   {
       "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 moved 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 kafkacat:
   3. Run the command for receiving messages from a topic.

Delete the resources you createdDelete the resources you created

To reduce the consumption of resources you do not need, delete them:

1. Delete the transfer.

2. Delete the source and target endpoints.

3. If you created a service account when creating the source endpoint, delete it.

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

   Manually

   Terraform

   1. Delete the Managed Service for Apache Kafka® cluster.
   2. Delete the Managed Service for YDB database.

   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.