WebFeb 24, 2024 · 1 Answer. Sorted by: 2. Side outputs are the generally preferred way to split a stream. They have the advantage of being able to split a stream n-ways, into streams of different types, and with excellent performance. There is yet another way to split a stream that you didn't mention, which is via split and select. Split/select is NOT recommended. WebFeb 24, 2024 · 总结Flink Table & SQL 流式聚合中的几个优化。 MiniBatch LocalGlobal Split Distinct Agg With Filter MiniBatch MiniBatch优化的核心思想是缓冲输入记录微批处理以减少对状态的访问,进而提升吞吐并减少数据的输出。 以如下场景为例,看下开启MiniBatch聚合前后的差异。
java - How can I improve my count distinct for data stream ...
WebApr 12, 2024 · 好的。 Flink SQL是一种用于编写和执行Flink程序的语言。它允许用户使用SQL语法从多个来源获取数据并进行转换和处理,然后将结果写入到多个目标。下面是一个简单的Flink SQL案例: 假设我们有一个名为"user_events"的表,其中包含用户ID和用户事件(如点击或购买)。)。我们希望每小时计算出每个 ... WebThis documentation is for an out-of-date version of Apache Flink. We recommend you use the latest stable version. SELECT DISTINCT # Batch Streaming. If SELECT DISTINCT … puukko knife canada
Flink Table & SQL: Minibatch,LocalGlobal,Split Distinct,Agg With F…
WebThis way, Realtime Compute for Apache Flink can execute the COUNT DISTINCT function on the same field with different filter conditions by sharing the state data. This reduces the read and write operations on the state data. ... which requires only one SPLIT parsing on the content. This improves job performance by 50% to 100%. ... WebGerman for ‘quick’ or ‘nimble’, Apache Flink is the latest entrant to the list of open-source frameworks focused on Big Data Analytics that are trying to replace Hadoop’s aging MapReduce, just like Spark. Flink got its first API-stable version released in March 2016 and is built for in-memory processing of batch data, just like Spark. Web创建,flink内建了以下六种的state。 ValueState: 使用场景:该状态主要用于存储单一状态值。 保留了一个可以更新和检索的值(如上所述,作用于输入元素的key的范围,因为运算看的每个key可能有一个值)。可以试用update(T)设置该值,并使用T value()检索该值。 p u und i