在Flink中，为什么DataStream不支持聚合

本文介绍了在Flink中，为什么DataStream不支持聚合的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我是Flink的新手.有时在某些情况下，我需要在DataStream上进行聚合而无需先执行keyBy.为什么Flink不支持DataStream上的聚合(总和，最小值，最大值等)?

I am a newbie to Flink. Sometimes there are cases where I want to do aggregation on a DataStream without needed to do a keyBy first. Why doesn't Flink support aggregation (sum, min, max, etc.) on a DataStream?

谢谢你，艾哈迈德.

推荐答案

使用 FLIP-134 Flink社区已决定从DataStream API中弃用所有这些关系方法:

With FLIP-134 the Flink community has decided to deprecate all of these relational methods from the DataStream API:

DataStream#project
Windowed/KeyedStream#sum，min，max，minBy，maxBy
DataStream#keyBy ，其中用字段名称或索引指定的键(包括 ConnectedStreams#keyBy )

DataStream#project
Windowed/KeyedStream#sum,min,max,minBy,maxBy
DataStream#keyBy where the key specified with field name or index (including ConnectedStreams#keyBy)

此决定的基本原理是Table/SQL是更完整，性能更高的关系API，它已经支持批处理和流式处理.使用这些API，您可以轻松执行全局聚合，而无需先执行keyBy或GROUP BY.

The rationale behind this decision is that Table/SQL is a more complete and more performant relational API, and it already supports both batch and streaming. With these APIs you can easily perform global aggregations, without having to first do a keyBy or GROUP BY.

一个例子:

StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment();
StreamTableEnvironment tableEnv = StreamTableEnvironment.create(env);

SingleOutputStreamOperator<Integer> numbers = env.fromElements(0, 1, 1, 0, 3, 2);

Table data = tableEnv.fromDataStream(numbers, $("n"));

Table results = data.select($("n").max());

tableEnv
        .toRetractStream(results, Row.class)
        .print();

env.execute();

这篇关于在Flink中，为什么DataStream不支持聚合的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！

datastream