Flink CDC connectors can be used to synchronize data and table schema changes in real time. You can use a data synchronization template to quickly generate Flink SQL deployment code for data synchronization. This topic describes how to use a multi-database multi-table synchronization template or a sharded-data merging template to synchronize data.

Background information

Fully managed Flink supports the following data synchronization methods: multi-database multi-table synchronization and sharded-data merging. The following table describes the differences between the methods.
Synchronization methodDescription
Multi-database and multi-table synchronizationIf you want to synchronize one or more business data tables from one or more databases to another database in real time, you can use the multi-database multi-table synchronization template. Flink CDC connectors can automatically synchronize the full and incremental data of an entire database. Flink CDC connectors can also synchronize the schema changes of each source table, such as added columns, to the destination table in real time. The multi-database multi-table synchronization template converts your parameters into the CREATE DATABASE AS statement. For more information about the CREATE DATABASE AS statement, see CREATE DATABASE AS statement.
Sharded-data mergingIf your business data is scattered in different databases or business tables, you need to merge multiple tables in a sharded database to synchronize data from the tables that have a similar schema to one destination table. Flink CDC connectors can automatically synchronize the full and incremental data of all table shards in the sharded database from source databases. The tables include the new tables that meet regular expressions. Flink CDC connectors can also synchronize the table schema changes of each source table, such as added columns, to the destination table in real time. The sharded-data merging template converts your parameters into the CREATE TABLE AS statement. For more information about the CREATE TABLE AS statement, see CREATE TABLE AS statement.

Limits

Flink CDC connectors can synchronize data only from MySQL to Hologres.

Precautions

If you use a Flink CDC connector to synchronize data from MySQL to Hologres, the table schema changes are also synchronized. For more information, see CREATE TABLE AS statement. If you want to synchronize data from MySQL to Hologres, take note of the following points:
  • You do not need to manually create a table in Hologres.

    Fully managed Flink automatically creates a table in Hologres. However, if the required table already exists in Hologres, fully managed Flink synchronizes data based on the destination database that you select in the creation plan and table information.

  • Hologres does not allow you to change the data types of columns.

    If the data type of the current field is different from the data type of the Hologres table, the data fails to be written. In this case, you must modify the data type of the column and synchronize the data again.

For more information about Hologres result tables, see Create a Hologres result table.

Procedure

  1. Log on to the Realtime Compute for Apache Flink console.
  2. On the Fully Managed Flink tab, find the workspace that you want to manage and click Console in the Actions column.
  3. In the left-side navigation pane, click SQL Editor. In the upper-left corner of the SQL Editor page, click New.
  4. In the New Draft dialog box, click the Flink CDC tab.
  5. Double-click the Data Synchronization from MySQL to Hologres card, or click the card and click Next in the lower-right corner of the dialog box.
  6. Configure the data synchronization information.
    1. Configure the source and sink parameters and click Next.
      Select a source and a sink
      CategoryParameterDescription
      SourceSourceYou can select an existing MySQL catalog. If no MySQL catalog exists, click Create Catalog. For more information about how to create a MySQL catalog, see Manage MySQL catalogs.
      server-idEnter a unique ID for each MySQL database client. Valid values: 5400 to 6400. This parameter can also be set to an ID range, such as 5400-5408. If you enable parallel reading in incremental reading mode, we recommend that you set this parameter to a value range to ensure that the server ID for each parallel thread is unique.
      Important We recommend that you do not use the same server ID for different deployments or services that access the database.
      SinkSinkYou can select an existing Hologres catalog. If no Hologres catalog exists, click Create Catalog. For more information, see Manage Hologres catalogs.
    2. Create a plan.
      • Multi-database and multi-table synchronization
        1. On the To Single Database tab, select the source database and table name. Data Synchronization from MySQL to Hologres
        2. Click Save Plan to view the plan list. Matched Rules
          Note When you perform multi-database and multi-table synchronization, the system uses this template to create a database and a table whose names are the same as the names of the database and table of the source catalog in the destination catalog. If you want to change the name of a database or table, we recommend that you use SQL statements. For more information, see CREATE TABLE AS statement and CREATE DATABASE AS statement.
        3. Click Next.
        4. View the SQL code that is generated based on the destination database and table that you selected. Preview

          You can modify the Name, Location, or Engine Version parameter based on your business requirements.

      • Sharded-data merging
        1. On the To Multiple Databases tab, select the names of the source databases and tables, or enter the names of the destination databases and tables. Multiple tables in a sharded database
          Note We recommend that you use regular expressions to specify the source databases and source tables.
        2. Click Save Plan to view the plan list. Matched Rules
          You can create multiple plans for multi-database and multi-table synchronization and sharded-data merging at the same time in a draft. The following figure shows an example. Matched Rules
        3. Click Next.
        4. View the SQL code that is generated based on the destination database and table that you selected. Preview

          You can modify the Name, Location, or Engine Version parameter based on your business requirements.

  7. Click Create.
    After you click Create, you are redirected to the SQL Editor page. The subsequent operations are the same as the operations that are required to develop a common deployment. For more information about the parameter configurations and subsequent operations, see Develop a draft and Start a deployment.