Synchronizing Data from Hudi to ClickHouse

Scenario

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

Prerequisites

• The CDL, Hudi, and ClickHouse services have been installed in a cluster and are running properly.
• You have operation permissions on ClickHouse. For details, see ClickHouse User and Permission Management.
• You have created a human-machine user with the ClickHouse administrator permissions (for details, see ClickHouse User and Permission Management), 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.
• You have manually created a local table and distributed table on ClickHouse. The local table uses the ReplicatedReplacingMergeTree engine. For details, see Creating a ClickHouse Table.

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 Link Management and click Add Link. In the displayed dialog box, set parameters for adding the clickhouse and hudi links by referring to the following tables.

   Table 1 ClickHouse data link parameters

   Parameter	Example
   Link Type	clickhouse
   Name	cklink
   Host	10.10.10.10:21428
   User	cdluser
   Password	Password of the cdluser 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	-

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

   After the test is successful, click OK.

4. (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.

5. 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_huditock
   Desc	-

6. Configure Hudi job parameters.
   1. On the Job Management page, drag the hudi icon in the Source 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 4 Source Hudi job parameters

      Parameter	Example
      Link	hudilink
      Interval	10
      Table Info	{"table1":[{"source.database":"db","source.tablename":"tabletest","target.tablename":"default.tabletest"}]}

      

   2. Click OK. The Hudi job parameters are configured.

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

      Table 5 ClickHouse job parameters

      Parameter	Example
      Link	cklink
      Query Timeout	60000
      Batch Size	100

      

   2. Click OK.

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

   

9. 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 Hudi table and view the content of the file imported to ClickHouse.