Synchronizing Data from MySQL to Hudi

Scenario

This section describes how to import data from MySQL to Hudi by using the CDLService web UI of a cluster with Kerberos authentication enabled.

Prerequisites

• The CDL and Hudi services have been installed in a cluster and are running properly.
• The prerequisites for the MySQL database have been met. For details, see Prerequisites for Enabling the MySQL Database.
• You have created a human-machine user, for example, cdluser, added the user to user groups cdladmin (primary group), hadoop, kafka, and supergroup, and associated the user with the System_administrator role on FusionInsight Manager.

Procedure

1. Log in to FusionInsight Manager as user cdluser (change the password upon your first login), choose Cluster > Services > CDL, and click the link next to CDLService UI to go to the CDLService web UI.
2. Choose Driver Management and click Upload Driver to upload the driver file mysql-connector-java-8.0.24.jar of MySQL. For details, see Uploading a Driver File.
3. Choose Link Management and click Add Link. In the displayed dialog box, set parameters for adding the mysql and hudi links by referring to the following tables.

   Table 1 MySQL data link parameters

   Parameter	Example
   Link Type	mysql
   Name	mysqllink
   DB driver	mysql-connector-java-8.0.24.jar
   Host	10.10.10.10
   Port	3306
   User	dbuser
   Password	Password of the dbuser user
   Description	-

   Table 2 Hudi data link parameters

   Parameter	Example
   Link Type	hudi
   Name	hudilink
   Storage Type	hdfs
   Auth KeytabFile	/opt/Bigdata/third_lib/CDL/user_libs/cdluser.keytab
   Principal	cdluser
   Description	-

4. After the parameters are configured, click Test to check whether the data link is normal.

   After the test is successful, click OK.

5. (Optional) Choose ENV Management and click Add Env. In the displayed dialog box, configure the parameters based on the following table.

   Table 3 Parameters for adding an ENV

   Parameter	Example Value
   Name	test-env
   Driver Memory	1 GB
   Type	spark
   Executor Memory	1 GB
   Executor Cores	1
   Number Executors	1
   Queue	-
   Description	-

   Click OK.

6. Choose Job Management > Data synchronization task and click Add Job. In the displayed dialog box, set parameters and click Next.
   Parameters are as follows.

   Parameter	Example
   Name	job_mysqltohudi
   Desc	-

7. Configure MySQL job parameters.
   1. On the Job Management page, drag the mysql icon on the left to the editing area on the right and double-click the icon to go to the MySQL job configuration page. Configure parameters based on the following table.

      Table 4 MySQL job parameters

      Parameter	Example
      Link	mysqllink
      Tasks Max	1
      Mode	insert, update, and delete
      DB Name	MYSQLDBA
      Schema Auto Create	Yes
      Connect With Hudi	Yes

   2. Click the plus sign (+) to display more parameters.

      

      

      • PosFromBeginning: whether to capture CDC events from the start position
      • DBZ Snapshot Locking Mode: lock mode when the connector is performing a snapshot. none indicates that no lock is held during the snapshot.
      • WhiteList: Enter the database table to receive data, for example, myclass.
      • Blacklist: Enter the database table that does not need to capture data.
      • Multi Partition: whether to enable Kafka partitioning.
      • Topic Table Mapping
        • This parameter is mandatory if Connect With Hudi is set to Yes.
        • Enter the table name in the first text box, for example, test. Enter a topic name in the second text box, for example, test_topic. The topic name must match the table name in the first text box.
   3. Click OK. The MySQL job parameters are configured.

8. Configure Hudi job parameters.
   1. On the Job Management page, drag the hudi icon in the Sink area on the left to the editing area on the right and double-click the icon to go to the Hudi job configuration page. Configure parameters based on the following table:

      Table 5 Sink Hudi job parameters

      Parameter	Example Value
      Link	hudilink
      Path	/cdl/test
      Interval	10
      Max Rate Per Partition	0
      Parallelism	10
      Target Hive Database	default
      Configuring Hudi Table Attributes	Visual View
      Global Configuration of Hudi Table Attributes	-
      Configuring the Attributes of the Hudi Table: Table Name	test
      Configuring the Attributes of the Hudi Table: Table Type Opt Key	COPY_ON_WRITE
      Configuring the Attributes of the Hudi Table: Hudi TableName Mapping	-
      Configuring the Attributes of the Hudi Table: Hive TableName Mapping	-
      Configuring the Attributes of the Hudi Table: Table Primarykey Mapping	id
      Configuring the Attributes of the Hudi Table: Table Hudi Partition Type	-
      Configuring the Attributes of the Hudi Table: Custom Config	-

      

   2. (Optional) Click the plus sign (+) to display the Execution Env parameter. Select a created environment for it. The default value is defaultEnv.

      

   3. Click OK.

9. Drag the two icons to associate the job parameters and click Save. The job configuration is complete.

   

10. In the job list on the Job Management page, locate the created job, click Start in the Operation column, and wait until the job is started.

    Check whether the data transmission takes effect, for example, insert data into the table in the MySQL database and view the content of the file imported to Hudi.