我感兴趣的是从数据库表中选择第n行的一些(理想的)数据库不可知的方法。看看如何使用以下数据库的本机功能来实现这一点也很有趣:

SQL Server MySQL PostgreSQL SQLite 甲骨文

我目前正在SQL Server 2005中做以下事情,但我有兴趣看到其他更不可知论的方法:

WITH Ordered AS (
SELECT ROW_NUMBER() OVER (ORDER BY OrderID) AS RowNumber, OrderID, OrderDate
FROM Orders)
SELECT *
FROM Ordered
WHERE RowNumber = 1000000

以上SQL: Firoz Ansari的Weblog的功劳

更新:参见Troels Arvin关于SQL标准的回答。Troels,你有我们可以引用的链接吗?


当前回答

从表中选择N个记录号

select * from
 (select row_number() over (order by Rand() desc) as Rno,* from TableName) T where T.Rno = RecordNumber

Where  RecordNumber --> Record Number to Select
       TableName --> To be Replaced with your Table Name

例如,要从表Employee中选择第5条记录,您的查询应该是

select * from
 (select row_number() over (order by Rand() desc) as Rno,* from Employee) T where T.Rno = 5

其他回答

对于SQL Server,一般的方法是通过行号:

SET ROWCOUNT @row --@row = the row number you wish to work on.

例如:

set rowcount 20   --sets row to 20th row

select meat, cheese from dbo.sandwich --select columns from table at 20th row

set rowcount 0   --sets rowcount back to all rows

这将返回第20行的信息。一定要在后面输入行数0。

难以置信,你能找到一个SQL引擎执行这个…

WITH sentence AS
(SELECT 
    stuff,
    row = ROW_NUMBER() OVER (ORDER BY Id)
FROM 
    SentenceType
    )
SELECT
    sen.stuff
FROM sentence sen
WHERE sen.row = (ABS(CHECKSUM(NEWID())) % 100) + 1

从表中选择N个记录号

select * from
 (select row_number() over (order by Rand() desc) as Rno,* from TableName) T where T.Rno = RecordNumber

Where  RecordNumber --> Record Number to Select
       TableName --> To be Replaced with your Table Name

例如,要从表Employee中选择第5条记录,您的查询应该是

select * from
 (select row_number() over (order by Rand() desc) as Rno,* from Employee) T where T.Rno = 5

我怀疑这是一种非常低效的方法,但这是一种相当简单的方法,它在我尝试的一个小型数据集上有效。

select top 1 field
from table
where field in (select top 5 field from table order by field asc)
order by field desc

这将得到第5项,改变上面的第二个数字来得到不同的第n项

仅限SQL服务器(我认为),但应该适用于不支持ROW_NUMBER()的旧版本。

select * from 
(select * from ordered order by order_id limit 100) x order by 
x.order_id desc limit 1;

首先按升序选择前100行,然后按降序选择最后一行并限制为1行。然而,这是一个非常昂贵的语句,因为它访问了两次数据。