wuchong commented on a change in pull request #12632:
URL: https://github.com/apache/flink/pull/12632#discussion_r440203521



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File path: docs/dev/table/connectors/formats/debezium.md
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+---
+title: "Debezium Format"
+nav-title: Debezium
+nav-parent_id: sql-formats
+nav-pos: 4
+---
+<!--
+Licensed to the Apache Software Foundation (ASF) under one
+or more contributor license agreements.  See the NOTICE file
+distributed with this work for additional information
+regarding copyright ownership.  The ASF licenses this file
+to you under the Apache License, Version 2.0 (the
+"License"); you may not use this file except in compliance
+with the License.  You may obtain a copy of the License at
+
+  http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing,
+software distributed under the License is distributed on an
+"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+KIND, either express or implied.  See the License for the
+specific language governing permissions and limitations
+under the License.
+-->
+
+<span class="label label-info">Changelog-Data-Capture Format</span>
+<span class="label label-info">Format: Deserialization Schema</span>
+
+* This will be replaced by the TOC
+{:toc}
+
+[Debezium](https://debezium.io/) is a CDC (Changelog Data Capture) tool that 
can stream changes in real-time from MySQL, PostgreSQL, Oracle, Microsoft SQL 
Server and many other databases into Kafka. Debezium provides an unified format 
schema for changelog and supports to serialize messages using JSON and [Apache 
Avro](https://avro.apache.org/).
+
+Flink supports to interpret Debezium JSON messages as INSERT/UPDATE/DELETE 
messages into Flink SQL system. This is useful in many cases to leverage this 
feature, such as synchronizing incremental data from databases to other 
systems, auditing logs, materialized views on databases, temporal join changing 
history of a database table and so on.
+
+Note: Support for interpreting Debezium Avro messages and emitting Debezium 
messages is on the roadmap.
+
+Dependencies
+------------
+
+In order to setup the Debezium format, the following table provides dependency 
information for both projects using a build automation tool (such as Maven or 
SBT) and SQL Client with SQL JAR bundles.
+
+| Maven dependency   | SQL Client JAR         |
+| :----------------- | :----------------------|
+| `flink-json`       | Built-in               |
+
+*Note: please refer to [Debezium 
documentation](https://debezium.io/documentation/reference/1.1/index.html) 
about how to setup a Debezium Kafka Connect to synchronize changelog to Kafka 
topics.*
+
+
+How to use Debezium format
+----------------
+
+Debezium provides an unified format for changelog, here is a simple example 
for an update operation captured from a MySQL `products` table:
+
+```json
+{
+  "before": {
+    "id": 111,
+    "name": "scooter",
+    "description": "Big 2-wheel scooter",
+    "weight": 5.18
+  },
+  "after": {
+    "id": 111,
+    "name": "scooter",
+    "description": "Big 2-wheel scooter",
+    "weight": 5.15
+  },
+  "source": {...},
+  "op": "u",
+  "ts_ms": 1589362330904,
+  "transaction": null
+}
+```
+
+*Note: please refer to [Debezium 
documentation](https://debezium.io/documentation/reference/1.1/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.
+
+<div class="codetabs" markdown="1">
+<div data-lang="SQL" markdown="1">
+{% highlight sql %}
+CREATE TABLE topic_products (
+  -- schema is totally the same to the MySQL "products" table
+  id BIGINT,
+  name STRING,
+  description STRING,
+  weight DECIMAL(10, 2)
+) WITH (
+ 'connector' = 'kafka',
+ 'topic' = 'products_binlog',
+ 'properties.bootstrap.servers' = 'localhost:9092',
+ 'properties.group.id' = 'testGroup',
+ 'format' = 'debezium-json'  -- using debezium-json as the format
+)
+{% endhighlight %}
+</div>
+</div>
+
+In some cases, users may setup the Debezium Kafka Connect with the Kafka 
configuration `'value.converter.schemas.enable'` enabled to include schema in 
the message. Then the Debezium JSON message may look like this:
+
+```json
+{
+  "schema": {...},
+  "payload": {
+    "before": {
+      "id": 111,
+      "name": "scooter",
+      "description": "Big 2-wheel scooter",
+      "weight": 5.18
+    },
+    "after": {
+      "id": 111,
+      "name": "scooter",
+      "description": "Big 2-wheel scooter",
+      "weight": 5.15
+    },
+    "source": {...},
+    "op": "u",
+    "ts_ms": 1589362330904,
+    "transaction": null
+  }
+}
+```
+
+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.
+

Review comment:
       The above DDL example is for **without schema**. Do you mean to give an 
example for **with schema**? I thought I have explained clearly to add the 
`'debezium-json.schema-include' = 'true'` option to indicate that. 




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