从 SQL Server 表中选择 n 个随机行 [英] Select n random rows from SQL Server table

查看:38
本文介绍了从 SQL Server 表中选择 n 个随机行的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我有一个包含大约 50,000 行的 SQL Server 表.我想随机选择大约 5,000 行.我想到了一个复杂的方法,创建一个带有随机数"列的临时表,将我的表复制到其中,循环遍历临时表并使用 RAND() 更新每一行,然后从该表中选择随机数列<0.1.我正在寻找一种更简单的方法,如果可能的话,在一个语句中.

I've got a SQL Server table with about 50,000 rows in it. I want to select about 5,000 of those rows at random. I've thought of a complicated way, creating a temp table with a "random number" column, copying my table into that, looping through the temp table and updating each row with RAND(), and then selecting from that table where the random number column < 0.1. I'm looking for a simpler way to do it, in a single statement if possible.

这篇文章建议使用NEWID() 函数.这看起来很有希望,但我不知道如何可靠地选择一定百分比的行.

This article suggest using the NEWID() function. That looks promising, but I can't see how I could reliably select a certain percentage of rows.

以前有人这样做过吗?有什么想法吗?

Anybody ever do this before? Any ideas?

推荐答案

select top 10 percent * from [yourtable] order by newid()

针对有关大型表的纯垃圾"评论:您可以这样做以提高性能.

In response to the "pure trash" comment concerning large tables: you could do it like this to improve performance.

select  * from [yourtable] where [yourPk] in 
(select top 10 percent [yourPk] from [yourtable] order by newid())

这样做的成本将是值的键扫描加上连接成本,这在具有小百分比选择的大表上应该是合理的.

The cost of this will be the key scan of values plus the join cost, which on a large table with a small percentage selection should be reasonable.

这篇关于从 SQL Server 表中选择 n 个随机行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IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆