最近,在论坛中,遇到了不少比较难的sql问题,虽然自己都能解决,但发现过几天后,就记不起来了,也忘记解决的方法了。
所以,觉得有必要记录下来,这样以后再次碰到这类问题,也能从中获取解答的思路。
1、一段SQL的写法,求方法!
http://bbs.csdn.net/topics/390705441
select * from k11 有10條紀錄
files1 files2 files3 files4
AA BB CC DD
ZZ EE TT YY
NN MM GG UU
另外一个表User 有99条记录,现在要随机在User这个表里面随机选3条记录
select top 3 NewID() as random,[UserId] from [User]
random UserId
E81A4DBB ming
F31B3B6C ling
16574317 Ting
将User这个表上的UserId值结果平均分配到k11上面那个表上,最后結果顯示如下
files1 files2 files3 files4 UserId
A1 BB CC DD ming
A2 EE TT YY ling
A3 MM GG UU ling
A4 XX XX XX ming
A5 XX XX XX ling
A6 XX XX XX Ting
A7 XX XX XX ming
A8 XX XX XX ling
A9 XX XX XX ling
A10 XX XX XX ming
sql代码:
- create table k11(
- files1 varchar(10),
- files2 varchar(10),
- files3 varchar(10),
- files4 varchar(10),
- UserId varchar(10))
-
- insert into k11
- select ‘A1‘, ‘BB‘, ‘CC‘, ‘DD‘, ‘ming‘ union all
- select ‘A2‘, ‘EE‘, ‘TT‘, ‘YY‘, ‘ling‘ union all
- select ‘A3‘, ‘MM‘, ‘GG‘, ‘UU‘, ‘Ting‘ union all
- select ‘A4‘, ‘XX‘, ‘XX‘, ‘XX‘, ‘ming‘ union all
- select ‘A5‘, ‘XX‘, ‘XX‘, ‘XX‘, ‘ling‘ union all
- select ‘A6‘, ‘XX‘, ‘XX‘, ‘XX‘, ‘Ting‘ union all
- select ‘A7‘, ‘XX‘, ‘XX‘, ‘XX‘, ‘ming‘ union all
- select ‘A8‘, ‘XX‘, ‘XX‘, ‘XX‘, ‘ling‘ union all
- select ‘A9‘, ‘XX‘, ‘XX‘, ‘XX‘, ‘Ting‘ union all
- select ‘A10‘, ‘XX‘, ‘XX‘, ‘XX‘, ‘ming‘
-
-
- create table [user]
- (
- UserId varchar(10)
- )
-
- insert into [user]
- select ‘ming‘ union all
- select ‘ling‘ union all
- select ‘Ting‘
- go
-
-
- ;with t
- as
- (
- select [UserId],
- ROW_NUMBER() over(order by newid()) as rownum
- from [User]
- ),
-
- tt
- as
- (
- select *,
- case when rownum1 %3 =0 then 3 else rownum1 %3 end as rownum
- from
- (
- select *,
- ROW_NUMBER() over(order by getdate()) as rownum1
- from k11
- )a
- )
-
- select tt.files1,tt.files2,tt.files3,tt.files4,t.UserId
- from tt
- left join t
- on tt.rownum = t.rownum
- and t.rownum <=3
- /*
- files1 files2 files3 files4 UserId
- A1 BB CC DD ming
- A2 EE TT YY ling
- A3 MM GG UU Ting
- A4 XX XX XX ming
- A5 XX XX XX ling
- A6 XX XX XX Ting
- A7 XX XX XX ming
- A8 XX XX XX ling
- A9 XX XX XX Ting
- A10 XX XX XX ming
- */
2、随机返回100条数据:
如果表比较大,有上千万的数据,那么通过如下的代码,可以随机返回100条数据,这里的随机,不是真正意义上的随机,但确实能让人感觉是随机,也就是每次返回的数据都不一样,最关键的是速度非常快,接近于0秒,只消耗了 62毫秒。
- select *
- from
- (
- select *,
- ROW_NUMBER() over(order by @@servername) as rownum
- from dbo.xxx
- )t
- where rownum between CHECKSUM(getdate()) % 10000 and CHECKSUM(getdate()) % 10000+99
SQL Server 分析和编译时间:
CPU 时间 = 0 毫秒,占用时间 = 0 毫秒。
(100 行受影响)
SQL Server 执行时间:
CPU 时间 = 0 毫秒,占用时间 = 62 毫秒。
原文:https://www.cnblogs.com/lonelyxmas/p/12020040.html