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SQL(根据自己需要改列名.表名): delete from tableA where id not in (select min(id) from tableA group by name,age)…
例如: id name value 1 a pp 2 a pp 3 b iii 4 b pp 5 b pp 6 c pp 7 c pp 8 c iii id是主键 要求得到这样的结果 id name value 1 a pp 3 b iii 4 b pp 6 c pp 8 c iii 方法1 delete YourTable where [id] not in ( select max([id]) from YourTable group by (name + value)) 方法2 delet…
mysql 根据条件删除重复记录 只保留最小id的重复数据 DELETEFROM newsWHERE news_id IN ( SELECT a.news_id FROM ( SELECT news_id FROM news WHERE flag = 1 GROUP BY news_id HAVING count(news_id) > 1 ) a )AND posid NOT IN (SELECT b.posid from ( SELECT min(posid) as posid FROM ne…
查找所有重复标题的记录:SELECT *FROM t_info aWHERE ((SELECT COUNT(*)FROM t_infoWHERE Title = a.Title) > 1)ORDER BY Title DESC一.查找重复记录1.查找全部重复记录Select * From 表 Where 重复字段 In (Select 重复字段 From 表 Group By 重复字段 Having Count(*)>1)2.过滤重复记录(只显示一条)Select * From HZT Whe…
为了性能考虑,在阅读之前提醒大家,如果有子查询,子查询查询到的数据最好不要超过总数据量的30%. 查询有重复数据的记录 select * from F group by a,b,c,d having count(*)>1 select distinct * into #Tmp from tableName drop table tableName select * into tableName from #Tmp drop table #Tmp SQL删除重复数据方法 例如:  id name…
一:查询及删除重复记录的SQL语句1.查找表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断select * from peoplewhere peopleId in (select   peopleId from   people group by   peopleId having count(peopleId) > 1)2.删除表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断,只留有rowid最小的记录delete from peoplewhere p…
查询及删除重复记录的方法(一)1.查找表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断select * from peoplewhere peopleId in (select peopleId from people group by peopleId having count(peopleId) > 1) 2.删除表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断,只留有一个记录delete from peoplewhere peopleId in (s…
查询及删除重复记录的SQL语句 1.查找表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断select * from peoplewhere peopleId in (select   peopleId from   people group by   peopleId having count(peopleId) > 1) 2.删除表中多余的重复记录,重复记录是根据单个字段(peopleId)来判断,只留有rowid最小的记录delete from people where…
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删除表中重复记录,只保留一条: delete from 表名 where 字段ID in (select * from (select max(字段ID) from 表名 group by 重复的字段 having count(重复的字段) > 1) as b); 实例: 2.当想要为某一个表建立一个唯一索引,由于表中有重复记录而无法进行时,需要删除重复记录. 例表 dept id_no id_name 100 'AAA' 101 'BBB' 102 'CCC' 103 'DDD' 100 'E…