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 self-managed MySQL database connected over Express Connect, VPN Gateway, or Smart Access Gateway 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 version of the self-managed MySQL database is 5.1, 5.5, 5.6, 5.7, or 8.0.
- The self-managed MySQL database is connected to Alibaba Cloud VPC over Express Connect, VPN Gateway, or Smart Access Gateway. For more information, see Connect an on-premises database to DTS by using CEN.
- DTS uses read and write resources of the source and destination databases during initial full data synchronization. This may increase the loads of the database servers. If the database performance is unfavorable, the specification is low, or the data volume is large, database services may become unavailable. For example, DTS occupies a large amount of read and write resources in the following cases: a large number of slow SQL queries are performed on the source database, the tables have no primary keys, or a deadlock occurs in the destination database. Before you synchronize data, evaluate the impact of data synchronization on the performance of the source and destination databases. We recommend that you synchronize data during off-peak hours. For example, you can synchronize data when the CPU utilization of the source and destination databases is less than 30%.
- 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.
- Only tables can be selected as synchronization objects, not non-table.
- DTS does not synchronize the data in a renamed table to the destination Kafka cluster. This applies if the new table name is not included in the objects to be synchronized. To synchronize the data in a renamed table to the destination Kafka cluster, you must reselect the objects to be synchronized. For more information, see Add an object to a data synchronization task.
Supported synchronization topologies
- One-way one-to-one synchronization
- One-way one-to-many synchronization
- One-way many-to-one synchronization
- One-way cascade synchronization
Before you begin
Before you configure the data synchronization task, you must create a database account and configure binary logging. For more information, see Create an account for a user-created MySQL database and configure binary logging.
- Purchase a data synchronization instance. For more information, see Purchase a DTS instance. Note On the buy page, set Source Instance to MySQL, 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 Select User-Created Database Connected over Express Connect, VPN Gateway, or Smart Access Gateway. Instance Region The source region that you selected on the buy page. You cannot change the value of this parameter. Peer VPC Select the ID of the VPC that is connected to the self-managed MySQL database. Database Type The value of this parameter is set to MySQL and cannot be changed. IP Address Enter the server IP address of the self-managed MySQL database. Port Number Enter the service port number of the self-managed MySQL database. The default port number is 3306. Database Account Enter the account of the self-managed MySQL database. The account must have the SELECT permission on the required objects, the REPLICATION CLIENT permission, the REPLICATION SLAVE permission, and the SHOW VIEW permission. Database Password Enter the password of the source 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 that hosts the Kafka cluster. 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 of 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.
- 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 Rename an object to be synchronized. Rename Databases and Tables
You can use the object name mapping feature to rename the objects that are synchronized to the destination instance. For more information, see Object name mapping.
Retry Time for Failed ConnectionsBy default, if DTS fails to connect to the source or destination database, DTS retries within the next 720 minutes (12 hours). You can specify the retry time based on your needs. If DTS reconnects to the source and destination databases within the specified time, DTS resumes the data synchronization task. Otherwise, the data synchronization task fails.Note When DTS retries a connection, you are charged for the DTS instance. We recommend that you specify the retry time based on your business needs. You can also release the DTS instance at your earliest opportunity after the source and destination instances are released.
- 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. You can start the data synchronization task only after the task 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.