0
点赞
收藏
分享

微信扫一扫

Flink 1.17教程:自定义分区(Custom)


自定义分区(Custom)

当Flink提供的所有分区策略都不能满足用户的需求时,我们可以通过使用partitionCustom()方法来自定义分区策略。
1)自定义分区器

public class MyPartitioner implements Partitioner<String> {

    @Override
    public int partition(String key, int numPartitions) {
        return Integer.parseInt(key) % numPartitions;
    }
}

2)使用自定义分区

public class PartitionCustomDemo {
    public static void main(String[] args) throws Exception {
//        StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
        StreamExecutionEnvironment env = StreamExecutionEnvironment.createLocalEnvironmentWithWebUI(new Configuration());

        env.setParallelism(2);

        DataStreamSource<String> socketDS = env.socketTextStream("hadoop102", 7777);

        DataStream<String> myDS = socketDS
                .partitionCustom(
                        new MyPartitioner(),
                        value -> value);
                

        myDS.print();

        env.execute();
    }
}


举报

相关推荐

0 条评论