分区算法的相关内容

问答 2022-08-01 来自：开发者社区

采样算法上一篇我们分析了RangePartitionRewriter的数据处理分支，接下来我们开始分析采样分支，采样分支的核心在于采样算法。因为范围分区输入端每个分区的数据量无从得知，也就是说我们无法得出采样比例。此时，如果先对每分区内的所有数据进行遍历，再记录出数据总量会显得很低效，因此Flink选择借助于水塘抽样算法（https://en.wikipedia.org/wiki/Reser.....

文章 2022-02-15 来自：开发者社区

MySQL内核月报 2015.01-MySQL · 谈古论今· key分区算法演变分析

本文说明一个物理升级导致的 "数据丢失"。现象在mysql 5.1下新建key分表，可以正确查询数据。而直接用mysql5.5或mysql5.6启动上面的5.1实例，发现(1,1785089517)这行数据不能正确查询出来。原因分析跟踪代码发现，5.1 与5.5,5.6 key hash算法是有区别的。 5.1 对于非空值的处理算法如下通过此算法算出数据(1,178508951...

问答 2022-02-15 来自：开发者社区

Shuffle阶段的Partition分区算法是什么？

问答 2022-02-15 来自：开发者社区

有什么好的分区算法，我现在对userId 用简单的取模来分区，数据分配不均匀,导致数据#Flink

有什么好的分区算法，我现在对userId 用简单的取模来分区，数据分配不均匀,导致数据倾斜。#Flink

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更新时间 2024-11-10 09:23:58

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