去掉重复行--100分

loveASUS 2008-12-20 08:07:32
3个uid一样的,表1的id是自动增长的。按照时间排序
怎样去除表1重复的uid,按照表1的id排序

select mdate,y.uid,x.姓名
from 表1 y,表2 x,表3 z
where y.uid=x.uid and y.uid=z.uid
order by y.id desc


表1
id uid mdate
----------- ----------- ------------------------------------------------------
1 409 2003-10-08 08:55:41.983
2 327 2003-10-08 08:58:41.327
3 72 2003-10-09 14:51:36.013
4 549 2003-10-09 19:23:07.153
5 549 2003-10-11 19:23:07.153
6 549 2003-10-21 19:23:07.153
7 327 2003-10-22 08:58:41.327
8 327 2003-10-23 08:58:41.327

表2
uid 姓名 部門
327 張三 a
549 李四 c
327 李四 b

表2
uid type
327 1
549 1

怎样去掉
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dawugui 2008-12-20
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[Quote=引用 7 楼 loveASUS 的回复:]
表1
id uid mdate
----------- ----------- ------------------------------------------------------
1 409 2003-10-08 08:55:41.983
2 327 2003-10-08 08:58:41.327
3 72 2003-10-09 14:51:36.013
4 549 2003-10-09 19:23:07.153
5 549 2003-10-11 19:23:07.153
6 549 2003-10-21 19:23:07.153
7 327 2003-10-22 08:58:41.327
8 327 2003-10-23 08:58:41.327
. ......

表2
uid 姓名 部門
327 張三 a
549 李四 c
327 李3 b
....

表3
uid type
327 1
549 1
550 2
....

3个表
表1 mdate 为用户登陆时间
表2 姓名
表3 type 为 类型

检索出前20个登陆的用户(姓名和时间) type类型为1

[/Quote]
--你的表2有两个327,所以测试数据的结果有重复值,你自己更改以下,如果需要取前20个,加select top 20 * from ... order by ...

create table tb1(id int, uid int, mdate datetime)
insert into tb1 values( 1 , 409 , '2003-10-08 08:55:41.983')
insert into tb1 values( 2 , 327 , '2003-10-08 08:58:41.327')
insert into tb1 values( 3 , 72 , '2003-10-09 14:51:36.013')
insert into tb1 values( 4 , 549 , '2003-10-09 19:23:07.153')
insert into tb1 values( 5 , 549 , '2003-10-11 19:23:07.153')
insert into tb1 values( 6 , 549 , '2003-10-21 19:23:07.153')
insert into tb1 values( 7 , 327 , '2003-10-22 08:58:41.327')
insert into tb1 values( 8 , 327 , '2003-10-23 08:58:41.327')
create table tb2( uid int, 姓名 varchar(10) , 部門 varchar(10))
insert into tb2 values( 327 , '張三', 'a')
insert into tb2 values( 549 , '李四', 'c')
insert into tb2 values( 327 , '李3 ', 'b')
create table tb3 (uid int, type int)
insert into tb3 values( 327 , 1 )
insert into tb3 values( 549 , 1 )
insert into tb3 values( 550 , 2 )
go

select t1.* , t2.* , t3.* from
(select t.* from tb1 t where mdate = (select max(mdate) from tb1 where uid = t.uid)) t1,
tb2 t2 , tb3 t3
where t1.uid = t2.uid and t1.uid = t3.uid and t3.type = 1

drop table tb1 , tb2 , tb3

/*
id uid mdate uid 姓名 部門 uid type
----------- ----------- ------------------------------------------------------ ----------- ---------- ---------- ----------- -----------
8 327 2003-10-23 08:58:41.327 327 張三 a 327 1
6 549 2003-10-21 19:23:07.153 549 李四 c 549 1
8 327 2003-10-23 08:58:41.327 327 李3 b 327 1

(所影响的行数为 3 行)

*/
mengxj85 2008-12-20
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Mark
百年树人 2008-12-20
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select top 20
b.姓名,
a.mdate as 时间
from 表1 a,表2 b,表3 c
where a.uid=b.uid and b.uid=c.uid
and c.type=1
and not exists(select * from 表1 where uid=a.uid and mdate>a.mdate)
order by a.id

loveASUS 2008-12-20
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最后一次登陆时间
百年树人 2008-12-20
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[Quote=引用 7 楼 loveASUS 的回复:]
表1
id uid mdate
----------- ----------- ------------------------------------------------------
1 409 2003-10-08 08:55:41.983
2 327 2003-10-08 08:58:41.327
3 72 2003-10-09 14:51:36.013
4 549 2003-10…
[/Quote]

时间是指第一次登陆时间还是最后一次登陆时间?
liangCK 2008-12-20
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如果是最早的.则将最后的ORDER BY A.mdate DESC中的DESC去掉即可.
liangCK 2008-12-20
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SELECT TOP 20
A.uid,
A.mdate,
B.姓名,
B.部门,
C.type
FROM(
SELECT *
FROM tb1 AS A
WHERE mdate=(SELECT MAX(mdate)
FROM tb1
WHERE A.uid=uid)
) AS A
JOIN tb2 AS B
ON A.uid=B.uid
JOIN tb3 AS C
ON A.uid=C.uid
AND C.type=1
ORDER BY A.mdate DESC
loveASUS 2008-12-20
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表2写错了

表2
uid 姓名 部門
327 張三 a
549 李四 c
550 唐三 b
loveASUS 2008-12-20
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表1
id uid mdate
----------- ----------- ------------------------------------------------------
1 409 2003-10-08 08:55:41.983
2 327 2003-10-08 08:58:41.327
3 72 2003-10-09 14:51:36.013
4 549 2003-10-09 19:23:07.153
5 549 2003-10-11 19:23:07.153
6 549 2003-10-21 19:23:07.153
7 327 2003-10-22 08:58:41.327
8 327 2003-10-23 08:58:41.327
. ......

表2
uid 姓名 部門
327 張三 a
549 李四 c
327 李3 b
....

表3
uid type
327 1
549 1
550 2
....

3个表
表1 mdate 为用户登陆时间
表2 姓名
表3 type 为 类型

检索出前20个登陆的用户(姓名和时间) type类型为1


liangCK 2008-12-20
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你想要什么样的结果?
loveASUS 2008-12-20
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select mdate,y.uid,x.姓名
from 表1 y,表2 x,表3 z
where y.uid=x.uid and y.uid=z.uid
order by y.id desc
百年树人 2008-12-20
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[Quote=引用 2 楼 loveASUS 的回复:]
就是检索出来的数据去掉重复行,

怎么写啊?


就是检索出来的数据去掉重复行,

怎么写啊?


就是检索出来的数据去掉重复行,

怎么写啊?


就是检索出来的数据去掉重复行,

怎么写啊?
[/Quote]

请说说原来的结果是什么,你要的结果是什么?
changjiangzhibin 2008-12-20
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--试一下
select distinct mdate,y.uid,x.姓名
from 表1 y,表2 x,表3 z
where y.uid=x.uid and y.uid=z.uid
order by y.id desc

--也可使用Group by 分组试一下
loveASUS 2008-12-20
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就是检索出来的数据去掉重复行,

怎么写啊?


就是检索出来的数据去掉重复行,

怎么写啊?


就是检索出来的数据去掉重复行,

怎么写啊?


就是检索出来的数据去掉重复行,

怎么写啊?
百年树人 2008-12-20
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--处理表重复记录(查询和删除)
/******************************************************************************************************************************************************
1、Num、Name相同的重复值记录,没有大小关系只保留一条
2、Name相同,ID有大小关系时,保留大或小其中一个记录
整理人:中国风(Roy)

日期:2008.06.06
******************************************************************************************************************************************************/

--1、用于查询重复处理记录(如果列没有大小关系时2000用生成自增列和临时表处理,SQL2005用row_number函数处理)

--> --> (Roy)生成測試數據

if not object_id('Tempdb..#T') is null
drop table #T
Go
Create table #T([ID] int,[Name] nvarchar(1),[Memo] nvarchar(2))
Insert #T
select 1,N'A',N'A1' union all
select 2,N'A',N'A2' union all
select 3,N'A',N'A3' union all
select 4,N'B',N'B1' union all
select 5,N'B',N'B2'
Go


--I、Name相同ID最小的记录(推荐用1,2,3),方法3在SQl05时,效率高于1、2
方法1:
Select * from #T a where not exists(select 1 from #T where Name=a.Name and ID<a.ID)

方法2:
select a.* from #T a join (select min(ID)ID,Name from #T group by Name) b on a.Name=b.Name and a.ID=b.ID

方法3:
select * from #T a where ID=(select min(ID) from #T where Name=a.Name)

方法4:
select a.* from #T a join #T b on a.Name=b.Name and a.ID>=b.ID group by a.ID,a.Name,a.Memo having count(1)=1

方法5:
select * from #T a group by ID,Name,Memo having ID=(select min(ID)from #T where Name=a.Name)

方法6:
select * from #T a where (select count(1) from #T where Name=a.Name and ID<a.ID)=0

方法7:
select * from #T a where ID=(select top 1 ID from #T where Name=a.name order by ID)

方法8:
select * from #T a where ID!>all(select ID from #T where Name=a.Name)

方法9(注:ID为唯一时可用):
select * from #T a where ID in(select min(ID) from #T group by Name)

--SQL2005:

方法10:
select ID,Name,Memo from (select *,min(ID)over(partition by Name) as MinID from #T a)T where ID=MinID

方法11:

select ID,Name,Memo from (select *,row_number()over(partition by Name order by ID) as MinID from #T a)T where MinID=1

生成结果:
/*
ID Name Memo
----------- ---- ----
1 A A1
4 B B1

(2 行受影响)
*/


--II、Name相同ID最大的记录,与min相反:
方法1:
Select * from #T a where not exists(select 1 from #T where Name=a.Name and ID>a.ID)

方法2:
select a.* from #T a join (select max(ID)ID,Name from #T group by Name) b on a.Name=b.Name and a.ID=b.ID order by ID

方法3:
select * from #T a where ID=(select max(ID) from #T where Name=a.Name) order by ID

方法4:
select a.* from #T a join #T b on a.Name=b.Name and a.ID<=b.ID group by a.ID,a.Name,a.Memo having count(1)=1

方法5:
select * from #T a group by ID,Name,Memo having ID=(select max(ID)from #T where Name=a.Name)

方法6:
select * from #T a where (select count(1) from #T where Name=a.Name and ID>a.ID)=0

方法7:
select * from #T a where ID=(select top 1 ID from #T where Name=a.name order by ID desc)

方法8:
select * from #T a where ID!<all(select ID from #T where Name=a.Name)

方法9(注:ID为唯一时可用):
select * from #T a where ID in(select max(ID) from #T group by Name)

--SQL2005:

方法10:
select ID,Name,Memo from (select *,max(ID)over(partition by Name) as MinID from #T a)T where ID=MinID

方法11:
select ID,Name,Memo from (select *,row_number()over(partition by Name order by ID desc) as MinID from #T a)T where MinID=1

生成结果2:
/*
ID Name Memo
----------- ---- ----
3 A A3
5 B B2

(2 行受影响)
*/



--2、删除重复记录有大小关系时,保留大或小其中一个记录


--> --> (Roy)生成測試數據

if not object_id('Tempdb..#T') is null
drop table #T
Go
Create table #T([ID] int,[Name] nvarchar(1),[Memo] nvarchar(2))
Insert #T
select 1,N'A',N'A1' union all
select 2,N'A',N'A2' union all
select 3,N'A',N'A3' union all
select 4,N'B',N'B1' union all
select 5,N'B',N'B2'
Go

--I、Name相同ID最小的记录(推荐用1,2,3),保留最小一条
方法1:
delete a from #T a where exists(select 1 from #T where Name=a.Name and ID<a.ID)

方法2:
delete a from #T a left join (select min(ID)ID,Name from #T group by Name) b on a.Name=b.Name and a.ID=b.ID where b.Id is null

方法3:
delete a from #T a where ID not in (select min(ID) from #T where Name=a.Name)

方法4(注:ID为唯一时可用):
delete a from #T a where ID not in(select min(ID)from #T group by Name)

方法5:
delete a from #T a where (select count(1) from #T where Name=a.Name and ID<a.ID)>0

方法6:
delete a from #T a where ID<>(select top 1 ID from #T where Name=a.name order by ID)

方法7:
delete a from #T a where ID>any(select ID from #T where Name=a.Name)



select * from #T

生成结果:
/*
ID Name Memo
----------- ---- ----
1 A A1
4 B B1

(2 行受影响)
*/


--II、Name相同ID保留最大的一条记录:

方法1:
delete a from #T a where exists(select 1 from #T where Name=a.Name and ID>a.ID)

方法2:
delete a from #T a left join (select max(ID)ID,Name from #T group by Name) b on a.Name=b.Name and a.ID=b.ID where b.Id is null

方法3:
delete a from #T a where ID not in (select max(ID) from #T where Name=a.Name)

方法4(注:ID为唯一时可用):
delete a from #T a where ID not in(select max(ID)from #T group by Name)

方法5:
delete a from #T a where (select count(1) from #T where Name=a.Name and ID>a.ID)>0

方法6:
delete a from #T a where ID<>(select top 1 ID from #T where Name=a.name order by ID desc)

方法7:
delete a from #T a where ID<any(select ID from #T where Name=a.Name)


select * from #T
/*
ID Name Memo
----------- ---- ----
3 A A3
5 B B2

(2 行受影响)
*/





--3、删除重复记录没有大小关系时,处理重复值


--> --> (Roy)生成測試數據

if not object_id('Tempdb..#T') is null
drop table #T
Go
Create table #T([Num] int,[Name] nvarchar(1))
Insert #T
select 1,N'A' union all
select 1,N'A' union all
select 1,N'A' union all
select 2,N'B' union all
select 2,N'B'
Go

方法1:
if object_id('Tempdb..#') is not null
drop table #
Select distinct * into # from #T--排除重复记录结果集生成临时表#

truncate table #T--清空表

insert #T select * from # --把临时表#插入到表#T中

--查看结果
select * from #T

/*
Num Name
----------- ----
1 A
2 B

(2 行受影响)
*/

--重新执行测试数据后用方法2
方法2:

alter table #T add ID int identity--新增标识列
go
delete a from #T a where exists(select 1 from #T where Num=a.Num and Name=a.Name and ID>a.ID)--只保留一条记录
go
alter table #T drop column ID--删除标识列

--查看结果
select * from #T

/*
Num Name
----------- ----
1 A
2 B

(2 行受影响)

*/

--重新执行测试数据后用方法3
方法3:
declare Roy_Cursor cursor local for
select count(1)-1,Num,Name from #T group by Num,Name having count(1)>1
declare @con int,@Num int,@Name nvarchar(1)
open Roy_Cursor
fetch next from Roy_Cursor into @con,@Num,@Name
while @@Fetch_status=0
begin
set rowcount @con;
delete #T where Num=@Num and Name=@Name
set rowcount 0;
fetch next from Roy_Cursor into @con,@Num,@Name
end
close Roy_Cursor
deallocate Roy_Cursor

--查看结果
select * from #T
/*
Num Name
----------- ----
1 A
2 B

(2 行受影响)
*/

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