JingGe commented on code in PR #24395:
URL: https://github.com/apache/flink/pull/24395#discussion_r1505116020


##########
docs/content/docs/connectors/table/formats/debezium.md:
##########
@@ -133,7 +134,30 @@ In some cases, users may setup the Debezium Kafka Connect 
with the Kafka configu
 
 In order to interpret such messages, you need to add the option 
`'debezium-json.schema-include' = 'true'` into above DDL WITH clause (`false` 
by default). Usually, this is not recommended to include schema because this 
makes the messages very verbose and reduces parsing performance.
 
-After registering the topic as a Flink table, then you can consume the 
Debezium messages as a changelog source.
+#### Debezium Avro DDL

Review Comment:
   ```suggestion
   #### Debezium Confluent Avro DDL
   ```



##########
docs/content/docs/connectors/table/formats/debezium.md:
##########
@@ -85,7 +85,9 @@ Debezium provides a unified format for changelog, here is a 
simple example for a
 *Note: please refer to [Debezium 
documentation](https://debezium.io/documentation/reference/1.3/connectors/mysql.html#mysql-connector-events_debezium)
 about the meaning of each fields.*
 
 The MySQL `products` table has 4 columns (`id`, `name`, `description` and 
`weight`). The above JSON message is an update change event on the `products` 
table where the `weight` value of the row with `id = 111` is changed from 
`5.18` to `5.15`.
-Assuming this messages is synchronized to Kafka topic `products_binlog`, then 
we can use the following DDL to consume this topic and interpret the change 
events.
+Assuming this messages is synchronized to Kafka topic `products_binlog`, then 
we can use the following DDLs (for Debezium Json and Debezium Avro) to consume 
this topic and interpret the change events.

Review Comment:
   ```suggestion
   Assuming this messages is synchronized to Kafka topic `products_binlog`, 
then we can use the following DDLs (for Debezium Json and Debezium Confluent 
Avro) to consume this topic and interpret the change events.
   ```



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