Change Data Capture (CDC) with Debezium for PostgreSQL allows you to track and capture changes made to the database in real-time and propagate those changes to other systems. If you want to use Debezium while ignoring specific columns during the CDC process, you can achieve this by configuring the Debezium connector appropriately.

Here's a general guide on how to set up CDC with Debezium for PostgreSQL and exclude specific columns from being captured:

Step 1: Set up Debezium PostgreSQL Connector Follow the steps to set up the Debezium PostgreSQL connector. Make sure you have the necessary permissions and access to the PostgreSQL database.

Step 2: Configure the Connector to Exclude Columns In the connector configuration, you can specify which columns to include or exclude using the column.blacklist property. This property allows you to exclude specific columns from being captured during the CDC process.

For example, if you want to ignore the columns column1 and column2, your connector configuration might look like this:

json
{ "name": "your-connector-name", "config": { "connector.class": "io.debezium.connector.postgresql.PostgresConnector", "tasks.max": "1", "database.hostname": "your-postgres-host", "database.port": "your-postgres-port", "database.user": "your-postgres-user", "database.password": "your-postgres-password", "database.dbname": "your-database-name", "database.server.name": "your-connector-server-name", "schema.whitelist": "public", "column.blacklist": "public.table1.column1,public.table1.column2" } }

In the above configuration, we specify "column.blacklist": "public.table1.column1,public.table1.column2", which means that any changes to the column1 and column2 in the public.table1 table will be ignored during the CDC process.

Step 3: Apply and Run the Connector Apply the connector configuration and run the Debezium connector.

Debezium will start capturing changes from the PostgreSQL database, excluding the specified columns from the captured events. The events with changes to other columns will still be processed and propagated to the target systems.

Remember that column exclusion is only applicable to the captured events and not to the actual database schema. The excluded columns will still exist in the database but will be omitted from the change events sent by Debezium.

Also, keep in mind that Debezium captures the changes in a structured manner, and excluding columns affects the structure of the change events. Be cautious when excluding columns as it may impact the downstream applications that consume the CDC events.

Always thoroughly test your configuration and ensure that it meets your specific use case and requirements.

Have questions or queries?
Get in Touch