Flink CDC 3.01和Flink 1.17.2可以支持从MySQL导入数据到StarRocks，但可能会遇到一些兼容性问题。

Flink CDC 3.01与Flink 1.17.2从MySQL导入到StarRocks的报错问题

单元表格：

详细内容：

1、配置Flink环境：

确保已经安装并配置好Flink 1.17.2环境。

下载并解压Flink CDC 3.01的jar包。

2、添加MySQL和StarRocks的连接器依赖：

在项目的pom.xml文件中，添加以下依赖项：

```xml

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flinkconnectormysqlcdc</artifactId>

<version>${flink.version}</version>

</dependency>

<dependency>

<groupId>org.apache.flink</groupId>

<artifactId>flinkconnectorjdbc</artifactId>

<version>${flink.version}</version>

</dependency>

<dependency>

<groupId>com.starrocks</groupId>

<artifactId>starrocksjdbcdriver</artifactId>

<version>${starrocks.version}</version>

</dependency>

```

${flink.version}是Flink的版本号，${starrocks.version}是StarRocks的版本号。

3、创建Flink CDC Source连接MySQL：

使用以下代码创建一个Flink的CDC Source连接MySQL：

```java

import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment;

import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;

import org.apache.flink.table.api.EnvironmentSettings;

import org.apache.flink.table.catalog.mysql.MySqlCatalog;

import org.apache.flink.table.catalog.starrocks.StarRocksCatalog;

import org.apache.flink.table.descriptors.*;

import org.apache.flink.table.sources.*;

import org.apache.flink.types.Row;

// ...省略其他代码...

// 创建流处理执行环境

StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();

// 创建表执行环境

StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);

// 设置catalog为MySQL和StarRocks

tableEnv.getConfig().setSqlDialect(SqlDialect.MYSQL); // for Flink SQL syntax compatibility with MySQL connector

tableEnv.getConfig().setCatalogName("mycatalog"); // replace "mycatalog" with your actual catalog name

tableEnv.useCatalog("mycatalog"); // replace "mycatalog" with your actual catalog name

// 注册MySQL和StarRocks的连接器和表定义方式

tableEnv.registerCatalog("mycatalog", new MySqlCatalog("mycatalog", "mydatabase", "root", "password")); // replace "mydatabase", "root", and "password" with your actual database, user, and password information for MySQL catalog

tableEnv.registerCatalog("mycatalog", new StarRocksCatalog("mycatalog", "jdbc:mysql://localhost:3306/mydatabase?serverTimezone=UTC&useSSL=false", "root", "password")); // replace "jdbc:mysql://localhost:3306/mydatabase?serverTimezone=UTC&useSSL=false", "root", and "password" with your actual connection string, user, and password information for StarRocks catalog

// ...省略其他代码...

```

注意替换代码中的数据库名称、用户名和密码等信息，确保MySQL和StarRocks的连接器版本与Flink版本兼容。

4、创建Sink连接到StarRocks：

使用以下代码创建一个Sink连接到StarRocks：

```java

import org.apache.flink.streaming.api.functions.*;

// ...省略其他代码...

// 创建Sink函数将数据写入StarRocks表

SinkFunction<Row> sinkFunction = new JdbcOutputFunction<>(new JdbcConnectionOptionsBuilder() {{ setUrl("jdbc:mysql://localhost:3306/mydatabase?serverTimezone=UTC&useSSL=false"); }}, // replace with your actual StarRocks connection string

(ps, t) > { ps.setString(1, t[0].toString()); }, // replace with your actual column mapping to StarRocks table schema

new String[]{"column_name"}, // replace with your actual column names in StarRocks table schema

new String[]{"VARCHAR(255)"}); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRocks table schema); // replace with your actual column types in StarRockSinkFunction<tableEnv, "INSERT INTO starrocks_table (column_name) values (?)", sinkFunction, ProducedTypeInfo<?>[]{Types.STRING}); // replace "starrocks_table" and "column_name" with your actual target table name and column name in StarRocks database, respectively; })); // end of SinkFunction creation code block...

```