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通过地图联接进行Hive查询优化

[英]Hive query optimization with map join

原文 2017-12-18 07:21:34 0 1 hive/ query-optimization

I have a table with 11 gb of data and the other one with 130 gb of data , and I am doing the update operation , Can i use map join in hive to improve query execution optimization ? 我有一个表，其中包含11 gb的数据，另一个表中包含130 gb的数据，并且正在执行更新操作，我可以在配置单元中使用map join来改进查询执行优化吗？ Please suggest the useful information regarding this . 请提供关于此的有用信息。

1 个解决方案

First of all please do check whether your Hive version is supporting the update functionality. 首先，请检查您的Hive版本是否支持更新功能。

Map join will certainly help you improve the query performance Also apply compression techniques on the tables and then run the update command -- this will decrease the runtime. 映射联接肯定会帮助您提高查询性能。还将压缩技术应用于表，然后运行update命令-这将减少运行时间。

Working on it practically will help you gain the insights. 实际上，这将有助于您获得见解。