行和空间占用的空间压缩数据

有没有办法按行压缩数据？也许用 a用户自定义类型？ --------------------------- （播出结束）--------------------------- 提示7：别忘了增加你的免费空间地图设置The reason I''m asking is:we have a system that stores 200,000,000 rows per month(other tables store 10,000,000 rows per month)Every row has 400 columns of integers + 2 columns (date+integer) as index.Our system compresses rows before writing them to a binary file on disk.Data don''t usually need to be updated/removed.We usually access all columns of a row (hence compression on a per-row basismakes sense).Is there any way to compress data on a per-row basis? Maybe witha User-Defined type?---------------------------(end of broadcast)---------------------------TIP 7: don''t forget to increase your free space map settings 这篇关于行和空间占用的空间压缩数据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！ 上岸，阿里云！