Hi, 你可以再用 DataStreamUtils.reinterpretAsKeyedStream(proStream, new MyKeySelector2(groupKeys) ) 把它解释成 KeyedStream。 因为你的 flatmap 和 上游节点之间如果并发一样的话,运行时是会 chain 在一起的,所以key的分布没有变。
Best, Jark On Wed, 10 Jun 2020 at 21:15, Yichao Yang <1048262...@qq.com> wrote: > Hi > > > flatmap之后返回的本身就不是Keyedstream哈,keyby之后返回的才是keyedstream。 > > > Best, > Yichao Yang > > > > > ------------------ 原始邮件 ------------------ > 发件人: "绘梦飘雪"<318666...@qq.com>; > 发送时间: 2020年6月10日(星期三) 晚上7:18 > 收件人: "user-zh"<user-zh@flink.apache.org>; > > 主题: 关于DataStreamUtils.reinterpretasKeyedStream的使用 > > > > hi > &nbsp; 我有这样一个场景,以多个相同的key.做keyby, > DataStream resStream =&nbsp; demoStream.keyBy(groupKeys) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .flatMap(new MyFlatmapFunction()) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .keyBy(groupKeys) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .process(new MyProcessFunction()) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .keyBy(groupKeys) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .timeWindow(Time.seconds(1)) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .aggregate(new MyAggFunction()) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .keyBy(groupKeys) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .timeWindow(Time.seconds(1)) > &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; > .process(new MyKeyProcessFunction()); > > 我想通过DataStreamUtils.reinterpretasKeyedStream来改写这个流程,我自己尝试这样写下,, > int[] groupKeys = new int[]{0,2,3}; > > DataStream proStream = > DataStreamUtils.reinterpretAsKeyedStream(demoStream, new > MyKeySelector2(groupKeys) ) // MyKeySelector2 > 自己实现keySelector > .flatMap(new MyFlatmapFunction()) > 我这样写发现数据流经过flatmap后并不是返回一个keyedstream > ,请问是哪里有问题吗?请问该如何使用DataStreamUtils.reinterpretasKeyedStream