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--- a/docs/content/quickstart/index.md
+++ b/docs/content/quickstart/index.md
@@ -2,7 +2,7 @@
 
 ```{toctree}
 :maxdepth: 2
-
+mysql-doris-pipeline-tutorial
 mysql-postgres-tutorial
 mongodb-tutorial
 oceanbase-tutorial
diff --git a/docs/content/quickstart/mysql-doris-pipeline-tutorial.md b/docs/content/quickstart/mysql-doris-pipeline-tutorial.md
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@@ -0,0 +1,319 @@
+# Streaming ELT from MySQL to Doris using Flink CDC 3.0
+
+This tutorial is to show how to quickly build a Streaming ELT job from MySQL to Doris using Flink CDC 3.0，including the feature of sync all table of one database, schema change evolution and sync sharding tables into one table.  
+All exercises in this tutorial are performed in the Flink CDC CLI, and the entire process uses standard SQL syntax, without a single line of Java/Scala code or IDE installation.
+
+## Preparation
+Prepare a Linux or MacOS computer with Docker installed.
+
+### Prepare Flink Standalone cluster
+1. Download [Flink 1.18.0](https://archive.apache.org/dist/flink/flink-1.18.0/flink-1.18.0-bin-scala_2.12.tgz) ，unzip and get flink-1.18.0 directory.   
+   Use the following command to navigate to the Flink directory and set FLINK_HOME to the directory where flink-1.18.0 is located.
+
+   ```shell
+   cd flink-1.18.0
+   ```
+
+2. Enable checkpointing by appending the following parameters to the conf/flink-conf.yaml configuration file to perform a checkpoint every 3 seconds.
+
+   ```yaml
+   execution.checkpointing.interval: 3000
+   ```
+
+3. Start the Flink cluster using the following command.
+
+   ```shell
+   ./bin/start-cluster.sh
+   ```  
+
+If successfully started, you can access the Flink Web UI at [http://localhost:8081/](http://localhost:8081/), as shown below.
+
+![Flink UI](/_static/fig/mysql-doris-tutorial/flink-ui.png "Flink UI")
+
+Executing `start-cluster.sh` multiple times can start multiple `TaskManager`s.
+
+### Prepare docker compose
+The following tutorial will prepare the required components using `docker-compose`.
+
+1. Host Machine Configuration  
+Since `Doris` requires memory mapping support for operation, execute the following command on the host machine:
+
+   ```shell
+   sysctl -w vm.max_map_count=2000000
+   ```
+Due to the different ways of implementing containers internally on MacOS, it may not be possible to directly modify the value of max_map_count on the host during deployment. You need to create the following containers first:
+
+   ```shell
+   docker run -it --privileged --pid=host --name=change_count debian nsenter -t 1 -m -u -n -i sh
+   ```
+
+The container was created successfully executing the following command:
+   ```shell
+   sysctl -w vm.max_map_count=2000000
+   ```
+
+Then `exit` exits and creates the Doris Docker cluster.
+
+2. Start docker compose
+   Create a `docker-compose.yml` file using the content provided below:
+
+   ```yaml
+   version: '2.1'
+   services:
+     doris:
+       image: yagagagaga/doris-standalone
+       ports:
+         - "8030:8030"
+         - "8040:8040"
+         - "9030:9030"
+     mysql:
+       image: debezium/example-mysql:1.1
+       ports:
+         - "3306:3306"
+       environment:
+         - MYSQL_ROOT_PASSWORD=123456
+         - MYSQL_USER=mysqluser
+         - MYSQL_PASSWORD=mysqlpw
+   ```
+
+The Docker Compose should include the following services (containers):
+- MySQL: include a database named `app_db` 
+- Doris: to store tables from MySQL
+
+To start all containers, run the following command in the directory that contains the `docker-compose.yml` file.
+
+   ```shell
+   docker-compose up -d
+   ```
+
+This command automatically starts all the containers defined in the Docker Compose configuration in a detached mode. Run docker ps to check whether these containers are running properly. You can also visit [http://localhost:8030/](http://localhost:8030/) to check whether Doris is running.
+#### Prepare records for MySQL
+1. Enter MySQL container
+
+   ```shell
+   docker-compose exec mysql mysql -uroot -p123456
+   ```
+
+2. create `app_db` database and `orders`,`products`,`shipments` tables, then insert records
+
+    ```sql
+    -- create database
+    CREATE DATABASE app_db;
+   
+    USE app_db;
+   
+   -- create orders table
+   CREATE TABLE `orders` (
+   `id` INT NOT NULL,
+   `price` DECIMAL(10,2) NOT NULL,
+   PRIMARY KEY (`id`)
+   );
+   
+   -- insert records
+   INSERT INTO `orders` (`id`, `price`) VALUES (1, 4.00);
+   INSERT INTO `orders` (`id`, `price`) VALUES (2, 100.00);
+   
+   -- create shipments table
+   CREATE TABLE `shipments` (
+   `id` INT NOT NULL,
+   `city` VARCHAR(255) NOT NULL,
+   PRIMARY KEY (`id`)
+   );
+   
+   -- insert records
+   INSERT INTO `shipments` (`id`, `city`) VALUES (1, 'beijing');
+   INSERT INTO `shipments` (`id`, `city`) VALUES (2, 'xian');
+   
+   -- create products table
+   CREATE TABLE `products` (
+   `id` INT NOT NULL,
+   `product` VARCHAR(255) NOT NULL,
+   PRIMARY KEY (`id`)
+   );
+   
+   -- insert records
+   INSERT INTO `products` (`id`, `product`) VALUES (1, 'Beer');
+   INSERT INTO `products` (`id`, `product`) VALUES (2, 'Cap');
+   INSERT INTO `products` (`id`, `product`) VALUES (3, 'Peanut');
+    ```
+
+#### Create database in Doris
+`Doris` connector currently does not support automatic database creation and needs to first create a database corresponding to the write table.
+1. Enter Doris Web UI。  
+   [http://localhost:8030/](http://localhost:8030/)  
+   The default username is `root`, and the default password is empty.
+
+   ![Doris UI](/_static/fig/mysql-doris-tutorial/doris-ui.png "Doris UI")
+
+2. Create `app_db` database through Web UI.
+
+    ```sql
+   create database app_db;
+    ```
+
+   ![Doris create_table](/_static/fig/mysql-doris-tutorial/doris-create-table.png "Doris create table")
+
+## Submit job using FlinkCDC cli
+1. Download the binary compressed packages listed below and extract them to the directory ` flink cdc-3.0.0 '`：    
+   [flink-cdc-3.0.0-bin.tar.gz](https://github.com/ververica/flink-cdc-connectors/releases/download/release-3.0.0/flink-cdc-3.0.0-bin.tar.gz)
+   flink-cdc-3.0.0 directory will contain four directory `bin`,`lib`,`log`,`conf`.
+
+2. Download the connector package listed below and move it to the `lib` directory  
+   **Download links are available only for stable releases, SNAPSHOT dependencies need to be built based on master or release- branches by yourself.**
+    - [MySQL pipeline connector 3.0.0](https://repo1.maven.org/maven2/com/ververica/flink-cdc-pipeline-connector-mysql/3.0.0/flink-cdc-pipeline-connector-mysql-3.0.0.jar)
+    - [Apache Doris pipeline connector 3.0.0](https://repo1.maven.org/maven2/com/ververica/flink-cdc-pipeline-connector-doris/3.0.0/flink-cdc-pipeline-connector-doris-3.0.0.jar)
+
+3. Write task configuration yaml file 
+  Here is an example file for synchronizing the entire database `mysql-to-doris.yaml`：
+
+   ```yaml
+   ################################################################################
+   # Description: Sync MySQL all tables to Doris
+   ################################################################################
+   source:
+     type: mysql
+     hostname: localhost
+     port: 3306
+     username: root
+     password: 123456
+     tables: app_db.\.*
+     server-id: 5400-5404
+     server-time-zone: UTC
+   
+   sink:
+     type: doris
+     fenodes: 127.0.0.1:8030
+     username: root
+     password: ""
+     table.create.properties.light_schema_change: true
+     table.create.properties.replication_num: 1
+   
+   pipeline:
+     name: Sync MySQL Database to Doris
+     parallelism: 2
+   
+   ```
+   
+Notice that:  
+`tables: app_db.\.*` in source synchronize all tables in `app_db` through Regular Matching.   
+`table.create.properties.replication_num` in sink is because there is only one Doris BE node in the Docker image.
+
+4. Finally, submit job to Flink Standalone cluster using Cli.
+   ```shell
+   bash bin/flink-cdc.sh mysql-to-doris.yaml
+   ```
+After successful submission, the return information is as follows：
+   ```shell
+   Pipeline has been submitted to cluster.
+   Job ID: ae30f4580f1918bebf16752d4963dc54
+   Job Description: Sync MySQL Database to Doris
+   ```
+ We can find a job  named `Sync MySQL Database to Doris` is running through Flink Web UI.   
+
+![MySQL-to-Doris](/_static/fig/mysql-doris-tutorial/mysql-to-doris.png "MySQL-to-Doris")
+
+We can find that tables are created and inserted through Doris Web UI.   
+
+![Doris_display_data](/_static/fig/mysql-doris-tutorial/doris_display_data.png "Doris_display_data")
+
+### Synchronize Schema and Data changes
+Enter MySQL container
+
+    ```shell
+    docker-compose exec mysql mysql -uroot -p123456
+    ```
+
+Then, modify schema and record in MySQL, and the tables of Doris will change the same in real time：
+1. insert one record in `orders` from MySQL:   
+
+   ```sql
+   INSERT INTO app_db.orders (id, price) VALUES (3, 100.00);
+   ```
+
+2. add one column in `orders` from MySQL:   
+
+   ```sql
+   ALTER TABLE app_db.orders ADD amount varchar(100) NULL;
+   ```   
+
+3. update one record in `orders` from MySQL:   
+
+   ```sql
+   UPDATE app_db.orders SET price=100.00, amount=100.00 WHERE id=1;
+   ```
+4. delete one record in `orders` from MySQL:
+
+   ```sql
+   DELETE FROM app_db.orders WHERE id=2;
+   ```
+
+Refresh the Doris Web UI every time you execute a step, and you can see that the `orders` table displayed in Doris will be updated in real-time, like the following：
+
+![Doris_display_result](/_static/fig/mysql-doris-tutorial/doris_display_result.png "Doris_display_result")
+
+Similarly, by modifying the 'shipments' and' products' tables, you can also see the results of synchronized changes in real-time in Doris.
+
+### Route the changes
+Flink CDC provides the configuration to route the table structure/data of the source table to other table names.   
+With this ability, we can achieve functions such as table name, database name replacement, and whole database synchronization.
+Here is an example file for using `route` feature:
+   ```yaml
+   ################################################################################
+   # Description: Sync MySQL all tables to Doris
+   ################################################################################
+   source:
+      type: mysql
+      hostname: localhost
+      port: 3306
+      username: root
+      password: 123456
+      tables: app_db.\.*
+      server-id: 5400-5404
+      server-time-zone: UTC
+
+   sink:
+      type: doris
+      fenodes: 127.0.0.1:8030
+      benodes: 127.0.0.1:8040
+      username: root
+      password: ""
+      table.create.properties.light_schema_change: true
+      table.create.properties.replication_num: 1
+
+   route:
+      - source-table: app_db.orders
+        sink-table: ods_db.ods_orders
+      - source-table: app_db.shipments
+        sink-table: ods_db.ods_shipments
+      - source-table: app_db.products
+        sink-table: ods_db.ods_products
+
+   pipeline:
+      name: Sync MySQL Database to Doris
+      parallelism: 2
+   ```
+
+Using the upper `route` configuration, we can synchronize the table schema and data of `app_db.orders` to `ods_db.ods_orders`, thus achieving the function of database migration.   
+Specifically, `source-table` support regular expression matching with multiple tables to synchronize sharding databases and tables. like the following：
+
+   ```yaml
+   route:
+     - source-table: app_db.order.*
+       sink-table: ods_db.ods_orders
+   ```
+
+In this way, we can synchronize sharding tables like `app_db.order01`、`app_db.order02`、`app_db.order03` into one ods_db.ods_orders tables.      
+Warning that there is currently no support for scenarios where the same primary key data exists in multiple tables, which will be supported in future versions.
+
+## Clean up
+After finishing the tutorial, run the following command to stop all containers in the directory of `docker-compose.yml`:
+
+   ```shell
+   docker-compose down
+   ```
+Run the following command to stop the Flink cluster in the directory of Flink `flink-1.18.0`:
+
+   ```shell
+   ./bin/stop-cluster.sh
+   ```
+
diff --git "a/docs/content/\345\277\253\351\200\237\344\270\212\346\211\213/index.md" "b/docs/content/\345\277\253\351\200\237\344\270\212\346\211\213/index.md"
index fb4b07bea0..9f121e1cdc 100644
--- "a/docs/content/\345\277\253\351\200\237\344\270\212\346\211\213/index.md"
+++ "b/docs/content/\345\277\253\351\200\237\344\270\212\346\211\213/index.md"
@@ -2,7 +2,7 @@
 
 ```{toctree}
 :maxdepth: 2
-
+mysql-doris-pipeline-tutorial-zh
 mysql-postgres-tutorial-zh
 mongodb-tutorial-zh
 oceanbase-tutorial-zh
diff --git "a/docs/content/\345\277\253\351\200\237\344\270\212\346\211\213/mysql-doris-pipeline-tutorial-zh.md" "b/docs/content/\345\277\253\351\200\237\344\270\212\346\211\213/mysql-doris-pipeline-tutorial-zh.md"
new file mode 100644
index 0000000000..41bb52c274
--- /dev/null
+++ "b/docs/content/\345\277\253\351\200\237\344\270\212\346\211\213/mysql-doris-pipeline-tutorial-zh.md"
@@ -0,0 +1,322 @@
+# 基于 Flink CDC 3.0 构建 MySQL 到 Doris 的 Streaming ELT
+
+这篇教程将展示如何基于 Flink CDC 快速构建 MySQL 到 Doris 的 Streaming ELT 作业，包含整库同步、表结构变更同步和分库分表同步的功能。  
+本教程的演示都将在 Flink CDC CLI 中进行，无需一行 Java/Scala 代码，也无需安装 IDE。
+
+## 准备阶段
+准备一台已经安装了 Docker 的 Linux 或者 MacOS 电脑。
+
+### 准备 Flink Standalone 集群
+1. 下载 [Flink 1.18.0](https://archive.apache.org/dist/flink/flink-1.18.0/flink-1.18.0-bin-scala_2.12.tgz) ，解压后得到 flink-1.18.0 目录。   
+使用下面的命令跳转至 Flink 目录下，并且设置 FLINK_HOME 为 flink-1.18.0 所在目录。
+
+   ```shell
+   cd flink-1.18.0
+   ```
+   
+2. 通过在 conf/flink-conf.yaml 配置文件追加下列参数开启 checkpoint，每隔 3 秒做一次 checkpoint。
+
+   ```yaml
+   execution.checkpointing.interval: 3000
+   ```
+   
+3. 使用下面的命令启动 Flink 集群。
+
+   ```shell
+   ./bin/start-cluster.sh
+   ```  
+   
+启动成功的话，可以在 [http://localhost:8081/](http://localhost:8081/) 访问到 Flink Web UI，如下所示：
+
+![Flink UI](/_static/fig/mysql-doris-tutorial/flink-ui.png "Flink UI")
+
+多次执行 start-cluster.sh 可以拉起多个 TaskManager。
+
+### 准备 Docker 环境
+接下来的教程将以 `docker-compose` 的方式准备所需要的组件。
+
+1. 宿主机配置   
+由于 Doris 的运行需要内存映射支持，需在宿主机执行如下命令
+
+   ```shell
+   sysctl -w vm.max_map_count=2000000
+   ```
+
+MacOS 由于内部实现容器的方式不同，在部署时宿主机直接修改`max_map_count`值可能无法成功，需要先创建以下容器：
+   
+   ```shell
+   docker run -it --privileged --pid=host --name=change_count debian nsenter -t 1 -m -u -n -i sh
+   ```
+
+容器创建成功执行以下命令：
+
+   ```shell
+   sysctl -w vm.max_map_count=2000000
+   ```
+
+然后 `exit` 退出，创建 Doris Docker 集群。
+
+2. docker 镜像启动   
+使用下面的内容创建一个 `docker-compose.yml` 文件：
+
+   ```yaml
+   version: '2.1'
+   services:
+     doris:
+       image: yagagagaga/doris-standalone
+       ports:
+         - "8030:8030"
+         - "8040:8040"
+         - "9030:9030"
+     mysql:
+       image: debezium/example-mysql:1.1
+       ports:
+         - "3306:3306"
+       environment:
+         - MYSQL_ROOT_PASSWORD=123456
+         - MYSQL_USER=mysqluser
+         - MYSQL_PASSWORD=mysqlpw
+   ```
+
+该 Docker Compose 中包含的容器有：
+- MySQL: 包含商品信息的数据库 `app_db` 和 用户信息的数据库 `my_db`
+- Doris: 存储从 MySQL 中根据规则映射过来的结果表
+
+在 `docker-compose.yml` 所在目录下执行下面的命令来启动本教程需要的组件：
+
+   ```shell
+   docker-compose up -d
+   ```
+
+该命令将以 detached 模式自动启动 Docker Compose 配置中定义的所有容器。你可以通过 docker ps 来观察上述的容器是否正常启动了，也可以通过访问 [http://localhost:8030/](http://localhost:8030/) 来查看 Doris 是否运行正常。
+#### 在 MySQL 数据库中准备数据
+1. 进入 MySQL 容器   
+
+   ```shell
+   docker-compose exec mysql mysql -uroot -p123456
+   ```
+   
+2. 创建数据库 `app_db` 和表 `orders`,`products`,`shipments`，并插入数据
+
+    ```sql
+    -- 创建数据库
+    CREATE DATABASE app_db;
+   
+    USE app_db;
+   
+   -- 创建 orders 表
+   CREATE TABLE `orders` (
+   `id` INT NOT NULL,
+   `price` DECIMAL(10,2) NOT NULL,
+   PRIMARY KEY (`id`)
+   );
+   
+   -- 插入数据
+   INSERT INTO `orders` (`id`, `price`) VALUES (1, 4.00);
+   INSERT INTO `orders` (`id`, `price`) VALUES (2, 100.00);
+   
+   -- 创建 shipments 表
+   CREATE TABLE `shipments` (
+   `id` INT NOT NULL,
+   `city` VARCHAR(255) NOT NULL,
+   PRIMARY KEY (`id`)
+   );
+   
+   -- 插入数据
+   INSERT INTO `shipments` (`id`, `city`) VALUES (1, 'beijing');
+   INSERT INTO `shipments` (`id`, `city`) VALUES (2, 'xian');
+   
+   -- 创建 products 表
+   CREATE TABLE `products` (
+   `id` INT NOT NULL,
+   `product` VARCHAR(255) NOT NULL,
+   PRIMARY KEY (`id`)
+   );
+   
+   -- 插入数据
+   INSERT INTO `products` (`id`, `product`) VALUES (1, 'Beer');
+   INSERT INTO `products` (`id`, `product`) VALUES (2, 'Cap');
+   INSERT INTO `products` (`id`, `product`) VALUES (3, 'Peanut');
+    ```
+   
+#### 在 Doris 数据库中创建数据库
+Doris 暂时不支持自动创建数据库，需要先创建写入表对应的数据库。
+1. 进入 Doris Web UI。  
+[http://localhost:8030/](http://localhost:8030/)  
+默认的用户名为 root，默认密码为空。
+
+   ![Doris UI](/_static/fig/mysql-doris-tutorial/doris-ui.png "Doris UI")
+   
+2. 通过 Web UI 创建 `app_db` 数据库
+
+    ```sql
+   create database app_db;
+    ```
+
+   ![Doris create_table](/_static/fig/mysql-doris-tutorial/doris-create-table.png "Doris create table")
+
+## 通过 FlinkCDC cli 提交任务
+1. 下载下面列出的二进制压缩包，并解压得到目录 `flink-cdc-3.0.0`：    
+   [flink-cdc-3.0.0-bin.tar.gz](https://github.com/ververica/flink-cdc-connectors/releases/download/release-3.0.0/flink-cdc-3.0.0-bin.tar.gz)
+flink-cdc-3.0.0 下会包含 bin、lib、log、conf 四个目录。
+
+2. 下载下面列出的 connector 包，并且移动到 lib 目录下  
+   **下载链接只对已发布的版本有效, SNAPSHOT 版本需要本地基于 master 或 release- 分支编译**
+   - [MySQL pipeline connector 3.0.0](https://repo1.maven.org/maven2/com/ververica/flink-cdc-pipeline-connector-mysql/3.0.0/flink-cdc-pipeline-connector-mysql-3.0.0.jar)
+   - [Apache Doris pipeline connector 3.0.0](https://repo1.maven.org/maven2/com/ververica/flink-cdc-pipeline-connector-doris/3.0.0/flink-cdc-pipeline-connector-doris-3.0.0.jar)
+
+3. 编写任务配置 yaml 文件  
+下面给出了一个整库同步的示例文件 mysql-to-doris.yaml：
+
+   ```yaml
+   ################################################################################
+   # Description: Sync MySQL all tables to Doris
+   ################################################################################
+   source:
+     type: mysql
+     hostname: localhost
+     port: 3306
+     username: root
+     password: 123456
+     tables: app_db.\.*
+     server-id: 5400-5404
+     server-time-zone: UTC
+   
+   sink:
+     type: doris
+     fenodes: 127.0.0.1:8030
+     username: root
+     password: ""
+     table.create.properties.light_schema_change: true
+     table.create.properties.replication_num: 1
+   
+   pipeline:
+     name: Sync MySQL Database to Doris
+     parallelism: 2
+   
+   ```
+   
+其中：  
+source 中的 `tables: app_db.\.*` 通过正则匹配同步 `app_db` 下的所有表。   
+sink 添加 `table.create.properties.replication_num` 参数是由于 Docker 镜像中只有一个 Doris BE 节点。
+   
+4. 最后，通过命令行提交任务到 Flink Standalone cluster 
+   ```shell
+   bash bin/flink-cdc.sh mysql-to-doris.yaml
+   ```
+提交成功后，返回信息如：
+   ```shell
+   Pipeline has been submitted to cluster.
+   Job ID: ae30f4580f1918bebf16752d4963dc54
+   Job Description: Sync MySQL Database to Doris
+   ```
+在 Flink Web UI，可以看到一个名为 `Sync MySQL Database to Doris` 的任务正在运行。
+
+![MySQL-to-Doris](/_static/fig/mysql-doris-tutorial/mysql-to-doris.png "MySQL-to-Doris")
+
+打开 Doris 的 Web UI，可以看到数据表已经被创建出来，数据能成功写入。
+
+![Doris_display_data](/_static/fig/mysql-doris-tutorial/doris_display_data.png "Doris_display_data")
+
+
+### 同步变更
+进入 MySQL 容器
+
+    ```shell
+    docker-compose exec mysql mysql -uroot -p123456
+    ```
+
+接下来，修改 MySQL 数据库中表的数据，Doris 中显示的订单数据也将实时更新：
+1. 在 MySQL 的 `orders` 表中插入一条数据
+
+   ```sql
+   INSERT INTO app_db.orders (id, price) VALUES (3, 100.00);
+   ```
+   
+2. 在 MySQL 的 `orders` 表中增加一个字段
+
+   ```sql
+   ALTER TABLE app_db.orders ADD amount varchar(100) NULL;
+   ```   
+   
+3. 在 MySQL 的 `orders` 表中更新一条数据
+
+   ```sql
+   UPDATE app_db.orders SET price=100.00, amount=100.00 WHERE id=1;
+   ```
+4. 在 MySQL 的 `orders` 表中删除一条数据
+
+   ```sql
+   DELETE FROM app_db.orders WHERE id=2;
+   ```
+   
+每执行一步就刷新一次 Doris Web UI，可以看到 Doris 中显示的 orders 数据将实时更新，如下所示：
+
+![Doris_display_result](/_static/fig/mysql-doris-tutorial/doris_display_result.png "Doris_display_result")
+
+同样的，去修改 `shipments`, `products` 表，也能在 Doris 中实时看到同步变更的结果。
+
+### 路由变更
+Flink CDC 提供了将源表的表结构/数据路由到其他表名的配置，借助这种能力，我们能够实现表名库名替换，整库同步等功能。   
+下面提供一个配置文件说明：
+   ```yaml
+   ################################################################################
+   # Description: Sync MySQL all tables to Doris
+   ################################################################################
+   source:
+     type: mysql
+     hostname: localhost
+     port: 3306
+     username: root
+     password: 123456
+     tables: app_db.\.*
+     server-id: 5400-5404
+     server-time-zone: UTC
+   
+   sink:
+     type: doris
+     fenodes: 127.0.0.1:8030
+     benodes: 127.0.0.1:8040
+     username: root
+     password: ""
+     table.create.properties.light_schema_change: true
+     table.create.properties.replication_num: 1
+
+   route:
+     - source-table: app_db.orders
+       sink-table: ods_db.ods_orders
+     - source-table: app_db.shipments
+       sink-table: ods_db.ods_shipments
+     - source-table: app_db.products
+       sink-table: ods_db.ods_products
+
+   pipeline:
+     name: Sync MySQL Database to Doris
+     parallelism: 2
+   ```
+
+通过上面的 `route` 配置，会将 `app_db.orders` 表的结构和数据同步到 `ods_db.ods_orders`中。从而实现数据库迁移的功能。   
+特别地，source-table 支持正则表达式匹配多表，从而实现分库分表同步的功能，例如下面的配置：
+
+   ```yaml
+      route:
+        - source-table: app_db.order.*
+          sink-table: ods_db.ods_orders
+   ```
+
+这样，就可以将诸如 `app_db.order01`、`app_db.order02`、`app_db.order03` 的表汇总到 ods_db.ods_orders 中。注意，目前还不支持多表中存在相同主键数据的场景，将在后续版本支持。
+
+## 环境清理
+本教程结束后，在 `docker-compose.yml` 文件所在的目录下执行如下命令停止所有容器：
+
+   ```shell
+   docker-compose down
+   ```
+
+在 Flink 所在目录 `flink-1.18.0` 下执行如下命令停止 Flink 集群：
+
+   ```shell
+   ./bin/stop-cluster.sh
+   ```
+
+