sql分组后二次汇总(处理表重复记录查询和删除)的实现方法

--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)

时间: 2025-01-21 17:42:06

sql分组后二次汇总(处理表重复记录查询和删除)的实现方法的相关文章

SQL重复记录查询 查询多个字段、多表查询、删除重复记录的方法_Mysql

SQL重复记录查询 1.查找表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断  select * from people where peopleId in (select peopleId from people group by peopleId having count(peopleId) > 1) 例二:  select * from testtable where numeber in (select number from people group by numb

PHP+MySQL统计该库中每个表的记录数并按递减顺序排列的方法_php技巧

本文实例讲述了PHP+MySQL统计该库中每个表的记录数并按递减顺序排列的方法.分享给大家供大家参考,具体如下: 这是一段简单的代码,可实现统计该数据库中每个表的记录数,并按递减顺序排列的功能 $host = '127.0.0.1'; $port = 3306; $dbname = 'test'; $username = 'root'; $password = ''; function ee($p) { if(PHP_SAPI == 'cli') { echo "\n"; }else{

sql 分组后获取其中一个字段最大值的整条记录

mysql的语句:  代码如下 复制代码 SELECT  * FROM (SELECT * FROM testTable ORDER BY createDate desc) pcc GROUP BY name Mysql中在分组前先排好序就可以找到需要的记录了,返回的就是按照name分组后不重复的符合条件的第一条记录. 在sqlserver中有很好的解决办法,  代码如下 复制代码 select * from ( select id,name,counts,createDate,row_numb

Mysql获取id最大值、表的记录总数等相关问题的方法汇总_Mysql

一.mysql 获取当前字段最大id SQL语句: select max(id) from yourtable; 二.获取mysql表自增(Auto_increment)值 Auto_increment是表中的一个属性,只要把表的状态获取到,也就可以获取到那个自增值 SQL语句: show table status like "表名"; php代码实现 $get_table_status_sql = "SHOW TABLE STATUS LIKE '表名'"; $r

SQL Server查找与删除表重复记录sql语句

在该示例中,我们将使用下表,它具有重复的 PK 值.在该表中,主键是两列(col1.col2).我们无法创建唯一索引或主键约束,因为这两行具有重复的 PK.该过程演示如何识别和删除重复的主键.    代码如下 复制代码 create table t1(col1 int, col2 int, col3 char(50)) insert into t1 values (1, 1, 'data value one') insert into t1 values (1, 1, 'data value o

SQL重复记录查询

1.查找表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断select * from peoplewhere peopleId in (select   peopleId  from   people  group  by   peopleId  having  count(peopleId) > 1)2.删除表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断,只留有rowid最小的记录delete from people where peopleId  in

SQL重复记录查询的几种方法_MsSql

1.查找表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断 复制代码 代码如下: select * from peoplewhere peopleId in (select   peopleId from   people group by   peopleId having count (peopleId) > 1) 2.删除表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断,只留有rowid最小的记录 复制代码 代码如下: delete from peop

SQL重复记录查询的几种方法

1.查找表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断复制代码 代码如下:select * from peoplewhere peopleId in (select   peopleId from   people group by   peopleId having count (peopleId) > 1) 2.删除表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断,只留有rowid最小的记录复制代码 代码如下:delete from people w

分组后分组合计以及总计SQL语句(稍微整理了一下)

今天看到了这个文章感觉内容挺多的,就是比较乱,实在不好整理,脚本之家小编就简单整理了一下,希望大家能凑合看吧 分组后分组合计以及总计SQL语句   1)想一次性得到分组合计以及总计,sql: SELECT 分组字段 FROM 表 GROUP BY 分组字段 compute sum(COUNT(*)) 2)分组合计1: SELECT COUNT(*) FROM (SELECT 分组字段 FROM 表 GROUP BY 分组字段 )别名 3)分组合计2: SELECT COUNT(*) FROM (