Kafka is a distributed message queue service that features high throughput and high scalability. Kafka is widely used for big data analytics such as log collection, data aggregation, streaming processing, and online and offline analysis. It is important for the big data ecosystem. This topic describes how to synchronize data from a PolarDB for MySQL cluster to a self-managed Kafka cluster by using Data Transmission Service (DTS). The data synchronization feature allows you to extend message processing capabilities.
- A Kafka cluster is created and the Kafka version is 0.10.1.0 to 2.7.0.
- The binary logging feature is enabled for the PolarDB for MySQL cluster. For more information, see Enable binary logging.
The source database must have PRIMARY KEY or UNIQUE constraints and all fields must be unique. Otherwise, the destination database may contain duplicate data records.
- You can select only tables as the objects to be synchronized.
- DTS does not automatically update the objects of the data synchronization task based
on their names.
Note If a source table is renamed during data synchronization but the new table name is not included in the selected objects, DTS does not synchronize the data of the table to the destination Kafka cluster. To synchronize the data of the renamed table, you must add the table to the selected objects of the task. For more information, see Add an object to a data synchronization task.
- Purchase a data synchronization instance. For more information, see Purchase a DTS instance. Note On the buy page, set Source Instance to PolarDB, set Target Instance to Kafka, and set Synchronization Topology to One-Way Synchronization.
- Log on to the DTS console.
- In the left-side navigation pane, click Data Synchronization.
- At the top of the Synchronization Tasks page, select the region where the destination instance resides.
- Find the data synchronization instance and click Configure Synchronization Channel in the Actions column.
- Configure the source and destination instances.
Section Parameter Description N/A Synchronization Task Name DTS automatically generates a task name. We recommend that you specify an informative name for easy identification. You do not need to use a unique task name. Source Instance Details Instance Type This parameter is set to PolarDB Instance and cannot be changed. Instance Region The source region that you selected on the buy page. You cannot change the value of this parameter. PolarDB Instance ID Select the ID of the PolarDB for MySQL cluster. Database Account Enter the database account of the PolarDB for MySQL cluster. The account must have the read permissions on the objects to be synchronized. Database Password Enter the password of the database account. Destination Instance Details Instance Type Select an instance type based on the deployment of the Kafka cluster. In this example, select User-Created Database in ECS Instance.Note If you select other instance types, you must deploy the network environment for the Kafka cluster. For more information, see Preparation overview. Instance Region The destination region that you selected on the buy page. You cannot change the value of this parameter. ECS Instance ID Select the ID of the Elastic Compute Service (ECS) instance on which the Kafka cluster is deployed. Database Type Select Kafka. Port Number Enter the service port number of the Kafka cluster. The default port number is 9092. Database Account Enter the username that is used to log on to the Kafka cluster. If no authentication is enabled for the Kafka cluster, you do not need to enter the username. Database Password Enter the password that corresponds to the username. If no authentication is enabled for the Kafka cluster, you do not need to enter the password. Topic Click Get Topic List, and select a topic name from the drop-down list. Kafka Version Select the version of the destination Kafka cluster. Encryption Select Non-encrypted or SCRAM-SHA-256 based on your business and security requirements.
- In the lower-right corner of the page, click Set Whitelist and Next. Note DTS adds the CIDR blocks of DTS servers to the whitelist of the source PolarDB cluster and the inbound rule of the destination ECS instance. This ensures that DTS servers can connect to the source cluster and the destination instance.
- Select the objects to be synchronized.
Setting Description Select the data format used in Kafka The data that is synchronized to the Kafka cluster is stored in the Avro or Canal JSON format. For more information, see Data formats of a Kafka cluster. Select the policy for synchronizing data to Kafka partitions Select a synchronization policy based on your business requirements. For more information, see Specify the policy for synchronizing data to Kafka partitions. Select the objects to be synchronized Select one or more tables from the Available section and click the icon to move the tables to the Selected section.Note DTS maps the table names to the topic name that you select in Step 6. If you want to rename the topic, you can use the object name mapping feature. For more information, see Specify the name of an object in the destination instance.
- In the lower-right corner of the page, click Next.
- Configure initial synchronization.
Parameter Description Initial Synchronization Select both Initial Schema Synchronization and Initial Full Data Synchronization. DTS synchronizes the schemas and historical data of the required objects and then synchronizes incremental data. Filter options Ignore DDL in incremental synchronization phase is selected by default. In this case, DTS does not synchronize DDL operations that are performed on the source database during incremental data synchronization.
- In the lower-right corner of the page, click Precheck. Note
- Before you can start the data synchronization task, DTS performs a precheck. The data synchronization task can be started only after it passes the precheck.
- If the task fails to pass the precheck, you can click the icon next to each failed item to view details.
- You can troubleshoot the issues based on the causes and run a precheck again.
- If you do not need to troubleshoot the issues, you can ignore failed items and run a precheck again.
- Close the Precheck dialog box after the following message is displayed: The precheck is passed. Then, the data synchronization task starts. You can view the status of the data synchronization task on the Synchronization Tasks page.