Flink和MyBatis的整合可以通过自定义Source实现。下面是一个简单的示例：

首先，创建一个MyBatis的Mapper接口和对应的Mapper XML文件，如下所示：

// UserMapper.javapublic interface UserMapper {User getUserById(int id);}

<!-- UserMapper.xml --><mapper namespace="com.example.UserMapper"><select id="getUserById" resultType="com.example.User">SELECT * FROM users WHERE id = #{id}</select></mapper>

创建一个自定义的Source，用于从MyBatis中读取数据，并将数据发送到Flink的DataStream中：

public class MyBatisSourceFunction implements SourceFunction<User> {private boolean running = true;private SqlSessionFactory sqlSessionFactory;public MyBatisSourceFunction(SqlSessionFactory sqlSessionFactory) {this.sqlSessionFactory = sqlSessionFactory;}@Overridepublic void run(SourceContext<User> ctx) throws Exception {try (SqlSession sqlSession = sqlSessionFactory.openSession()) {UserMapper userMapper = sqlSession.getMapper(UserMapper.class);int userId = 1;while (running) {User user = userMapper.getUserById(userId);ctx.collect(user);userId++;}}}@Overridepublic void cancel() {running = false;}}

在Flink程序中，创建一个ExecutionEnvironment，并使用自定义的Source作为数据源：

public static void main(String[] args) throws Exception {// 创建MyBatis的SqlSessionFactorySqlSessionFactory sqlSessionFactory = new SqlSessionFactoryBuilder().build(Resources.getResourceAsStream("mybatis-config.xml"));// 创建ExecutionEnvironmentfinal StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();// 添加自定义的Source作为数据源DataStream<User> stream = env.addSource(new MyBatisSourceFunction(sqlSessionFactory));// 打印数据流stream.print();// 执行Flink程序env.execute("MyBatisSourceFunction Example");}

通过以上步骤，就可以实现Flink和MyBatis的整合。当然，实际应用中可能需要根据具体需求进行定制和调整。