在微软支持网站上有一篇关于删除重复文件的好文章。这是相当保守的——他们让你在不同的步骤中做所有的事情——但它应该适用于大的表格。

在过去，我使用了自连接来实现这一点，尽管它可能会用一个HAVING子句来美化:

DELETE dupes
FROM MyTable dupes, MyTable fullTable
WHERE dupes.dupField = fullTable.dupField 
AND dupes.secondDupField = fullTable.secondDupField 
AND dupes.uniqueField > fullTable.uniqueField

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

在postgresql中删除重复行的一个非常简单的方法。

DELETE FROM table1 a
USING table1 b
WHERE a.id < b.id
AND a.column1 = b.column1
AND a.column2 = b.column2;

我更喜欢子查询\having count(*) > 1解决方案内部连接，因为我发现它更容易阅读，它很容易变成一个SELECT语句来验证什么将被删除，然后再运行它。

--DELETE FROM table1 
--WHERE id IN ( 
     SELECT MIN(id) FROM table1 
     GROUP BY col1, col2, col3 
     -- could add a WHERE clause here to further filter
     HAVING count(*) > 1
--)

下面的查询用于删除重复的行。本例中的表以ID作为标识列，具有重复数据的列是Column1、Column2和Column3。

DELETE FROM TableName
WHERE  ID NOT IN (SELECT MAX(ID)
                  FROM   TableName
                  GROUP  BY Column1,
                            Column2,
                            Column3
                  /*Even if ID is not null-able SQL Server treats MAX(ID) as potentially
                    nullable. Because of semantics of NOT IN (NULL) including the clause
                    below can simplify the plan*/
                  HAVING MAX(ID) IS NOT NULL) 

下面的脚本显示GROUP BY、HAVING、ORDER BY在一个查询中的用法，并返回带有重复列及其计数的结果。

SELECT YourColumnName,
       COUNT(*) TotalCount
FROM   YourTableName
GROUP  BY YourColumnName
HAVING COUNT(*) > 1
ORDER  BY COUNT(*) DESC 

快速和脏删除精确重复的行(小表):

select  distinct * into t2 from t1;
delete from t1;
insert into t1 select *  from t2;
drop table t2;