• SQL Server2008中删除重复记录


         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:

    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

    OK,首先我们使用最常见的方法:

    Delete From Employee Where Name in (
    select Name
    From Employee Group By Name Having Count(Name)>1);

    接着使用RowNumber():
    Delete T From(
       Select Row_Number() Over(Partition By [Name] Order By (SELECT 0)) As RowNumber,* From Employee) T
    Where T.RowNumber > 1;

    还可以使用CTE (Common Table Expressions):

    With Dups as
    (
      select ROW_NUMBER() Over(Partition by [Name] Order by (SELECT 0)) as rn
      FROM Employee
    )
    Delete From Dups
    Where rn>1;

    再加上RANK()的CTE:

    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:

    ExecutionPlan1

    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的情况下, 如果重复记录. 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:

    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'

    希望这篇POST对您开发有帮助.

    您可能感兴趣的文章:

    SqlServer2005中使用row_number()在一个查询中删除重复记录

    使用SQL SERVER 2005/2008 递归CTE查询树型结构

    SQL SERVER 2008 CTE生成结点的FullPath

    SQLSERVER2008中CTE的Split与CLR的性能比较


    作者:Petter Liu
    出处:http://www.cnblogs.com/wintersun/
    本文版权归作者和博客园共有,欢迎转载,但未经作者同意必须保留此段声明,且在文章页面明显位置给出原文连接,否则保留追究法律责任的权利。
    该文章也同时发布在我的独立博客中-Petter Liu Blog

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  • 原文地址:https://www.cnblogs.com/wintersun/p/2228732.html
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