问题一：数据倾斜在实时计算中可能带来哪些问题？数据倾斜在实时计算中可能带来哪些问题？参考回答：数据倾斜在实时计算中可能带来指标延迟或数据事故等问题。当实时计算任务遇到数据倾斜时，部分节点可能会处理过多的数据，导致处理速度下降，进而影响整个任务的完成时间和数据准确性。关于本问题的更多问答可点击原文查看： https://...

文章 2024-08-22 来自：开发者社区

Flink SQL 在快手实践问题之设置 Window Offset 以调整窗口划分如何解决

问题一：Window Offset 的主要作用是什么？ Window Offset 的主要作用是什么？参考回答： Window Offset 主要用来调整窗口的划分逻辑，它是一个可选参数，默认值为 0，表示以 unix 时间的零点作为窗口划分的起始时间。其值可以是正数或负数，分别表示向右或向左偏移窗口的起始时间。但它不会影响 watermark 的生...

文章 2024-08-22 来自：开发者社区

Flink SQL 在快手实践问题之使用Dynamic Cumulate Window绘制直播间累计UV曲线如何解决

问题一：CUMULATE窗口函数相比传统方案有哪些优点？ CUMULATE窗口函数相比传统方案有哪些优点？参考回答： CUMULATE窗口函数的优点包括使用窗口结束时间作为横坐标，确保每个点的纵坐标是对应时间点的累计值，使曲线在回溯历史或作业failover时都能完全还原，且分维度值相加等于总维度值；同时，使用两阶段聚合防止distinct key倾...

文章 2024-08-22 来自：开发者社区

Flink SQL 在快手实践问题之Window TVF改进窗口聚合功能如何解决

问题一：Group Window Aggregate在Flink中有哪些局限性？ Group Window Aggregate在Flink中有哪些局限性？参考回答： Group Window Aggregate在Flink 1.12及更早版本中用于窗口聚合，但其存在两个主要局限性：一是语法不符合SQL标准，需要借助特殊窗口函数和窗口辅助函数；二是窗口...

问答 2024-07-23 来自：开发者社区

Flink SQL 如何解决 Group Window Aggregate 中的数据倾斜问题？

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更新时间 2024-08-23 12:58:59

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功能对比

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作业自动调优