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 indispensable for the big data ecosystem. This topic describes how to synchronize data from a user-created MySQL database hosted on ECS to a user-created Kafka cluster by using Data Transmission Service (DTS). The data synchronization feature allows you to extend message processing capabilities.
- The version of the user-created Kafka cluster is 0.10 or 1.0.
- The version of the user-created MySQL database is 5.1, 5.5, 5.6, 5.7, or 8.0.
- DTS uses read and write resources of the source and destination databases during initial full data synchronization. This may increase the database load. 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 synchronizing data, you must evaluate 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 usage 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.
- You can select only tables as the objects to be synchronized.
- 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 modify 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
The data that is synchronized to the Kafka cluster is stored in the Avro format. For more information, see DTS Avro schema.
After the data is synchronized to the Kafka cluster, you must parse the data based on the Avro schema.
Before configuring 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 procedure.
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 in ECS Instance. Instance Region The region of the source instance. The region is the same as the source region that you selected when you purchased the data synchronization instance. You cannot change the value of this parameter. ECS Instance ID Select the ID of the ECS instance that is connected to the user-created MySQL database. Database Type The value of this parameter is set to MySQL and cannot be changed. Port Number Enter the service port number of the user-created MySQL database. The default port number is 3306. Database Account Enter the account of the user-created MySQL database. The account must have the REPLICATION SLAVE permission, the REPLICATION CLIENT permission, the SHOW VIEW permission, and the permission to perform SELECT operations on the required objects. Database Password Enter the password of the source database account. Destination Instance Details Instance Type
- If the Kafka cluster is deployed on an ECS instance, select User-Created Database in ECS Instance
- If the Kafka cluster is deployed on a local server, select User-Created Database Connected over Express Connect, VPN Gateway, or Smart Access
Note If you select User-Created Database Connected over Express Connect, VPN Gateway, or Smart Access Gateway, you must specify the VPC ID, IP address, and port number.
Instance Region The region of the destination instance. The region is the same as the destination region that you selected when you purchased the data synchronization instance. You cannot change the value of this parameter. ECS Instance ID Select the ID of the 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 the authentication is disabled for the Kafka cluster, you do not need to enter the username. Database Password Enter the password of the username. If the authentication is disabled for the Kafka cluster, you do not need to enter the password. Topic
- Click Get Topic List.
- 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.
Parameter Description Objects to be synchronized Select tables from the Available section and click the icon to move the tables to the Selected section.Note DTS automatically maps the table names to the topic name that you select when you configure the source and destination instances. If you want to change the topic, you can move the pointer over the table and click Edit. You must specify a topic that exists in the Message Queue for Apache Kafka 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. Before synchronizing incremental data, DTS synchronizes the schemas and historical data of the required objects from the source database to the destination database. 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.
- Before you can start the data synchronization task, a precheck is performed. You can start the data synchronization task only after the task passes the precheck.
- If the task fails to pass the precheck, click the icon next to each failed item to view details. Troubleshoot the issues based on the causes and run the 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.