Using CDL from Scratch¶
CDL supports data synchronization or comparison tasks in multiple scenarios. This section describes how to import data from PgSQL to Kafka on the CDLService WebUI of a cluster with Kerberos authentication enabled.
Prerequisites¶
The CDL and Kafka services have been installed in a cluster and are running properly.
Write-ahead logging is enabled for the PostgreSQL database. For details, see Policy for Modifying Write-Ahead Logs in PostgreSQL Databases.
You have created a human-machine user, for example, cdluser, added the user to user groups cdladmin (primary group), hadoop, and kafka, and associated the user with the System_administrator role on FusionInsight Manager.
Procedure¶
Log in to FusionInsight Manager as user cdluser (change the password upon the first login) and choose Cluster > Services > CDL. On the Dashboard page, click the hyperlink next to CDLService UI to go to the native CDL page.
Choose Link Management and click Add Link. On the displayed dialog box, set parameters for adding the pgsql and kafka links by referring to the following tables.
¶ Parameter
Example Value
Link Type
pgsql
Name
pgsqllink
Host
10.10.10.10
Port
5432
DB Name
testDB
User
user
Password
Password of the user user
Description
-
¶ Parameter
Example Value
Link Type
kafka
Name
kafkalink
Description
-
After the parameters are configured, click Test to check whether the data link is normal.
After the test is successful, click OK.
On the Job Management page, click Add Job. In the displayed dialog box, configure the parameters and click Next.
Specifically:
Parameter
Example Value
Name
job_pgsqltokafka
Desc
xxx
Configure PgSQL job parameters.
On the Job Management page, drag the pgsql icon on the left to the editing area on the right and double-click the icon to go to the PgSQL job configuration page.
¶ Parameter
Example Value
Link
pgsqllink
Tasks Max
1
Mode
insert, update, and delete
Schema
public
dbName Alias
cdc
Slot Name
a4545sad
Slot Drop
No
Connect With Hudi
No
Use Exist Publication
Yes
Publication Name
test
Click the plus sign (+) to display more parameters.
Note
WhiteList: Enter the name of the table in the database, for example, myclass.
Topic Table Mapping: In the first text box, enter a topic name (the value must be different from that of Name in 4), for example, myclass_topic. In the second text box, enter a table name, for example, myclass. The value must be in one-to-one relationship with the topic name entered in the first text box.)
Click OK. The PgSQL job parameters are configured.
Configure Kafka job parameters.
After the job parameters are configured, drag the two icons to associate the job parameters and click Save. The job configuration is complete.
In the job list on the Job Management page, locate the created jobs, click Start in the Operation column, and wait until the jobs are started.
Check whether the data transmission takes effect. For example, insert data into the table in the PgSQL database, go to the Kafka UI to check whether data is generated in the Kafka topic by referring to Managing Topics on Kafka UI.