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SQL 中删除重复记录

时间:2022-06-29 08:26:59 编辑:袖梨 来源:一聚教程网

在Database中可能由于某种原因如用户输入,导入数据失败等 导致了重复记录. 如果你没有用主键,约束,或来其它机制实现数据完整性,那最后总是重复记录在你的数据库中.现在让我们来看在SQL SERVER 2008中如何删除这些记录, 首先,可以模拟造一些简单重复记录:

 代码如下 复制代码

Create Table dbo.Employee

([Id] int Primary KEY ,

[Name] varchar(50),

[Age] int,

[Sex] bit default 1)

 

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(1,'James',25,default)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(2,'James',25,default)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(3,'James',25,default)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(4,'Lisa',24,0)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(5,'Lisa',24,0)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(6,'Lisa',24,0)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(7,'Mirsa',23,0)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(8,'Mirsa',23,0)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(9,'Mirsa',23,0)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(10,'John',26,default)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(11,'Abraham',28,default)

Insert Into Employee ([Id] , [Name] , [Age] , [Sex] ) Values(12,'Lincoln',30,default)

 

Select * From dbo.Employee

首先我们使用最常见的方法:

 代码如下 复制代码

Delete From Employee Where Name in (

select Name

From Employee Group By Name Having Count(Name)>1);


接着使用RowNumber():

 代码如下 复制代码

Delete T From(

   Select Row_Number() Over(Partition By [Name] Order By (SELECT 0)) As RowNumber,* From Employee) T

Where T.RowNumber > 1;

With Dups as

(

  select ROW_NUMBER() Over(Partition by [Name] Order by (SELECT 0)) as rn

  FROM Employee

)

Delete From Dups

Where rn>1;

WITH Dups As

(

  Select [ID],[Name],[Age],[Sex]

    , ROW_NUMBER() OVER(Partition By [Name] Order By (SELECT 0)) AS rn

    ,RANK() OVER(Partition By [Name] Order By (SELECT 0)) AS rnk

  FROM Employee

)

DELETE FROM Dups

WHERE rn<>rnk;

下面是这四个T-SQL查询的执行计划:

 

你可以看到没有用CTE的方法开销最大, 主要是在Table Spool, 这里开销了44%, Table Spool 是一个物理运算符。

Table Spool 运算符扫描输入,并将各行的一个副本放入隐藏的假脱机表中,此表存储在 tempdb 数据库中并且仅在查询的生存期内存在。如果重绕该运算符(例如通过 Nested Loops 运算符重绕),但不需要任何重新绑定,则将使用假脱机数据,而不用重新扫描输入。

 

注意上面的方法只是在重复记录比较少的情况下, 如果重复记录多. DELETE将会非常慢, 最好的方法是复制目标数据到另一个新表,删除原来的表,重命名新表为原来的表. 或用临时表, 这样还可以减少数据库事务日志. 看下面的T-SQL:

 代码如下 复制代码

WITH Dups As

(

  Select [ID],[Name],[Age],[Sex]

    , ROW_NUMBER() OVER(Partition By [ID] Order By (SELECT 0)) AS rn

  FROM Employee

)

Select [ID],[Name],[Age],[Sex]

INTO dbo.EmployeeDupsTmp

FROM Dups

WHERE rn=1

 

DROP TABLE dbo.Employee;

 

EXEC sp_rename 'dbo.EmployeeDupsTmp','Employee'

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