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; } @Override public 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++; } } } @Override public 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SqlSessionFactory SqlSessionFactory sqlSessionFactory = new SqlSessionFactoryBuilder().build(Resources.getResourceAsStream("mybatis-config.xml")); // 创建ExecutionEnvironment final 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。