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如何删除大数据中重复的数据?进来看了才明白原来这么简单!

什么是大数据?“大数据”是需要新处理模式才能具有更强的决策力、洞察发现力和流程优化能力来适应海量、高增长率和多样化的信息资产。下面小编就给大家看看SQL删除表里重复数据的方法。

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--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(注:ID为唯一时可用):

select * from #T a where ID in(select min(ID) from #T group by Name)

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(注:ID为唯一时可用):

select * from #T a where ID in(select max(ID) from #T group by Name)

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

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

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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