http://blog.csdn.net/anya/article/details/6407280/
用SQL語句,刪除掉重復項只保留一條
在幾千條記錄里,存在着些相同的記錄,如何能用SQL語句,刪除掉重復的呢 1、查找表中多余的重復記錄,重復記錄是根據單個字段(peopleId)來判斷 select * from people where peopleId in (select peopleId from people group by peopleId having count(peopleId) > 1)
2、刪除表中多余的重復記錄,重復記錄是根據單個字段(peopleId)來判斷,只留有rowid最小的記錄 delete from people where peopleName in (select peopleName from people group by peopleName having count(peopleName) > 1) and peopleId not in (select min(peopleId) from people group by peopleName having count(peopleName)>1)
3、查找表中多余的重復記錄(多個字段) select * from vitae a where (a.peopleId,a.seq) in (select peopleId,seq from vitae group by peopleId,seq having count(*) > 1)
4、刪除表中多余的重復記錄(多個字段),只留有rowid最小的記錄 delete from vitae a where (a.peopleId,a.seq) in (select peopleId,seq from vitae group by peopleId,seq having count(*) > 1) and rowid not in (select min(rowid) from vitae group by peopleId,seq having count(*)>1)
5、查找表中多余的重復記錄(多個字段),不包含rowid最小的記錄 select * from vitae a where (a.peopleId,a.seq) in (select peopleId,seq from vitae group by peopleId,seq having count(*) > 1) and rowid not in (select min(rowid) from vitae group by peopleId,seq having count(*)>1)
6.消除一個字段的左邊的第一位:
update tableName set [Title]=Right([Title],(len([Title])-1)) where Title like '村%'
7.消除一個字段的右邊的第一位:
update tableName set [Title]=left([Title],(len([Title])-1)) where Title like '%村'
8.假刪除表中多余的重復記錄(多個字段),不包含rowid最小的記錄 update vitae set ispass=-1 where peopleId in (select peopleId from vitae group by peopleId
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1.查詢重復記錄
select * from 表名
where 重復字段 in (select 重復字段 from 表名 group by 重復字段 having count(重復字段) > 1)
2.刪除保留一條重復記錄
delete from 表名
where 重復字段 in (select 重復字段 from 表名 group by 重復字段 having count(重復字段) > 1)
and ID not in (select min(ID) from 表名 group by 重復字段 having count(重復字段 )>1)
前一陣做了個會員系統,又寫了個程序把以往的會員數據導入到SQL數據庫中.因為某些原因導了好幾遍,造成了某些重復的記錄存在.前兩天使用人員才發現問題,於是想辦法解決.
搜啊搜,搜到了使用SQL句子刪除重復記錄的方法.又一次體會到了SQL的強大(其實是我的SQL水平太菜了而已).寫下來,加強記憶.
會員數據需要用到的是下面三個字段:ID(自增),MemberName,MemberAddress.只要會員姓名與會員地址相同就認為是重復記錄,重復記錄在刪除時只保留ID最大的那個.SQL如下:

delete MemberInfo where ID not in (

select max(ID) from MemberInfo group by MemberName, MemberAddress)
not in的效率可能會低些,但因為是直接操作數據庫,所以這並不重要.這個句子還是非常的簡單有效的.
在真正的刪除操作前,通常會先了解一下重復記錄的情況.可以使用下面的句子:

SELECT COUNT(MemberName) AS TheCount, MemberName, MemberAddress

FROM MemberInfo

GROUP BY MemberName, MemberAddress

HAVING (COUNT(*) > 1)
因為工作中用的SQL太簡單,以至於group by及having的用法都不了解,真是慚愧.
P.S. 所有的內容都來自於網絡,沒有什么獨創的東西.發出來只是為了加強一下自己的記憶.