另一个简单的解决方案可以在这里粘贴的链接中找到。这个方法很容易掌握，似乎对大多数类似的问题都很有效。虽然它是为SQL Server，但所使用的概念是可以接受的。

以下是链接页面的相关部分:

考虑以下数据:

EMPLOYEE_ID ATTENDANCE_DATE
A001    2011-01-01
A001    2011-01-01
A002    2011-01-01
A002    2011-01-01
A002    2011-01-01
A003    2011-01-01

那么我们如何删除这些重复的数据呢?

首先，使用以下代码在表中插入一个标识列:

ALTER TABLE dbo.ATTENDANCE ADD AUTOID INT IDENTITY(1,1)  

使用下面的代码来解决它:

DELETE FROM dbo.ATTENDANCE WHERE AUTOID NOT IN (SELECT MIN(AUTOID) _
    FROM dbo.ATTENDANCE GROUP BY EMPLOYEE_ID,ATTENDANCE_DATE) 

我想这会很有帮助。这里，ROW_NUMBER() OVER(分区由res1。Title ORDER BY res1.Id)作为num来区分重复的行。

delete FROM
(SELECT res1.*,ROW_NUMBER() OVER(PARTITION BY res1.Title ORDER BY res1.Id)as num
 FROM 
(select * from [dbo].[tbl_countries])as res1
)as res2
WHERE res2.num > 1

alter table MyTable add sno int identity(1,1)
    delete from MyTable where sno in
    (
    select sno from (
    select *,
    RANK() OVER ( PARTITION BY RowID,Col3 ORDER BY sno DESC )rank
    From MyTable
    )T
    where rank>1
    )

    alter table MyTable 
    drop  column sno

首先，您可以使用MIN()和Group By选择最小RowId。我们将保留这些行。

   SELECT MIN(RowId) as RowId
   FROM MyTable 
   GROUP BY Col1, Col2, Col3

删除那些不在最小RowId使用范围内的RowId

DELETE FROM MyTable WHERE RowId Not IN()

最后的查询:

DELETE FROM MyTable WHERE RowId Not IN(

    SELECT MIN(RowId) as RowId
    FROM MyTable 
    GROUP BY Col1, Col2, Col3
)

你也可以在SQL Fiddle中检查我的答案

创建另一个由原始值组成的表:

CREATE TABLE table2 AS SELECT *, COUNT(*) FROM table1 GROUP BY name HAVING COUNT (*) > 0

使用CTE。这个想法是连接一个或多个列，形成一个重复的记录，然后删除你喜欢的:

;with cte as (
    select 
        min(PrimaryKey) as PrimaryKey
        UniqueColumn1,
        UniqueColumn2
    from dbo.DuplicatesTable 
    group by
        UniqueColumn1, UniqueColumn1
    having count(*) > 1
)
delete d
from dbo.DuplicatesTable d 
inner join cte on 
    d.PrimaryKey > cte.PrimaryKey and
    d.UniqueColumn1 = cte.UniqueColumn1 and 
    d.UniqueColumn2 = cte.UniqueColumn2;