阅读量:122
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.java
public 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 {
private boolean running = true;
private SqlSessionFactory sqlSessionFactory;
public MyBatisSourceFunction(SqlSessionFactory sqlSessionFactory) {
this.sqlSessionFactory = sqlSessionFactory;
}
@Override
public void run(SourceContext 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 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。