查询user表中,user_name字段值重复的数据及重复次数
select user_name,count(*) as count from user group by user_name having count>1; 假如我们有如下一张数据表(很简单,只是举例而已),表名为student。现在我们要取出其中重复记录。重复是以name相同为判定标准。 shortname age height weight province university 小王 20 170 150 河南 清华大学 小张 21 175 144 河北 北京大学 小李 20 160 122 福建 武汉大学 小赵 35 165 177 江西 浙江大学 小孙 40 164 188 西藏 华中科技大学 小宋 38 172 166 云南 四川大学 小王 21 170 150 河南 清华大学 小张 22 168 120 山东 山东大学 SELECT * FROM student WHERE shortname IN (SELECT shortname FROM student GROUP BY shortname HAVING COUNT(shortname)>1)//查找出所有的重复数据 1 SELECT shortname,COUNT(*) FROM student GROUP BY shortname HAVING COUNT(*) > 1//查看重复数据的条数 ---------------------
表全部数据
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1 查询people_no重复的记录
select * from peoplewhere people_no in (select people_no from people group by people_no having count(people_no) > 1);
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2 查询people_no重复的记录 ,排除最小id,如果删除改为delete from
select * from peoplewhere people_no in (select people_no from people group by people_no having count(people_no) > 1) and id not in (select min(id) from people group by people_no having count(people_no)>1);
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3 查询people_no people_name重复的记录
select * from people awhere (a.people_no,a.people_name) in (select people_no,people_name from people GROUP BY people_no,people_name HAVING count(*)>1);
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4 查询people_no people_name重复的记录,排除最小id
select * from people awhere (a.people_no,a.people_name) in (select people_no,people_name from people GROUP BY people_no,people_name HAVING count(*)>1) anda.id not in (select min(id) from people GROUP BY people_no,people_name HAVING count(*)>1);
1 2 3 4 | INSERT INTO hk_test(username, passwd) VALUES ( 'qmf1' , 'qmf1' ),( 'qmf2' , 'qmf11' ) delete from hk_test where username= 'qmf1' and passwd= 'qmf1' |
MySQL里查询表里的重复数据记录:
先查看重复的原始数据:
场景一:列出username字段有重读的数据
1 2 3 | select username,count(*) as count from hk_test group by username having count> 1 ; SELECT username,count(username) as count FROM hk_test GROUP BY username HAVING count(username) > 1 ORDER BY count DESC; |
这种方法只是统计了该字段重复对应的具体的个数
场景二:列出username字段重复记录的具体指:
1 2 3 4 5 | select * from hk_test where username in (select username from hk_test group by username having count(username) > 1 ) SELECT username,passwd FROM hk_test WHERE username in ( SELECT username FROM hk_test GROUP BY username HAVING count(username)> 1 ) 但是这条语句在mysql中效率太差,感觉mysql并没有为子查询生成临时表。在数据量大的时候,耗时很长时间 |
解决方法:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | 于是使用先建立临时表 复制代码 代码如下: create table `tmptable` as ( SELECT `name` FROM `table` GROUP BY `name` HAVING count(`name`) > 1 ); 然后使用多表连接查询 复制代码 代码如下: SELECT a.`id`, a.`name` FROM `table` a, `tmptable` t WHERE a.`name` = t.`name`; 结果这次结果很快就出来了。 用 distinct去重复 复制代码 代码如下: SELECT distinct a.`id`, a.`name` FROM `table` a, `tmptable` t WHERE a.`name` = t.`name`; |
场景三:查看两个字段都重复的记录:比如username和passwd两个字段都有重复的记录:
1 2 | select * from hk_test a where (a.username,a.passwd) in (select username,passwd from hk_test group by username,passwd having count(*) > 1 ) |
场景四:查询表中多个字段同时重复的记录:
1 | select username,passwd,count(*) from hk_test group by username,passwd having count(*) > 1 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 | MySQL查询表内重复记录 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 people where 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 people where peopleId in (select peopleId from people group by peopleId having count(peopleId)> 1 ) and min(id) not in (select id from people group by peopleId having count(peopleId)> 1 ) 3 、查找表中多余的重复记录(多个字段) select * from vitae a where (a.peopleId,a.seq) in (select peopleId,seq from vitae group by peopleId,seq having count(*)> 1 ) 4 、删除表中多余的重复记录(多个字段),只留有rowid最小的记录 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 、查找表中多余的重复记录(多个字段),不包含rowid最小的记录 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 ) (二) 比方说 在A表中存在一个字段“name”,而且不同记录之间的“name”值有可能会相同,现在就是需要查询出在该表中的各记录之间,“name”值存在重复的项; Select Name,Count(*) From A Group By Name Having Count(*) > 1 如果还查性别也相同大则如下: Select Name,sex,Count(*) From A Group By Name,sex Having Count(*) > 1 (三) 方法一 declare @max integer, @id integer declare cur_rows cursor local for select 主字段,count(*) from 表名 group by 主字段 having count(*) >; 1 open cur_rows fetch cur_rows into @id , @max while @ @fetch_status = 0 begin select @max = @max - 1 set rowcount @max delete from 表名 where 主字段 = @id fetch cur_rows into @id , @max end close cur_rows set rowcount 0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 | SELECT * from tab1 where CompanyName in( SELECT companyname from tab1 GROUP BY CompanyName HAVING COUNT(*)> 1 ); -- 129 .433ms SELECT * from tab1 INNER join ( SELECT companyname from tab1 GROUP BY CompanyName HAVING COUNT(*)> 1 ) as tab2 USING(CompanyName); -- 0 .482ms 方法二 有两个意义上的重复记录,一是完全重复的记录,也即所有字段均重复的记录,二是部分关键字段重复的记录,比如Name字段重复,而其他字段不一定重复或都重复可以忽略。 1 、对于第一种重复,比较容易解决,使用 select distinct * from tableName 就可以得到无重复记录的结果集。 如果该表需要删除重复的记录(重复记录保留 1 条),可以按以下方法删除 select distinct * into #Tmp from tableName drop table tableName select * into tableName from #Tmp drop table #Tmp 发生这种重复的原因是表设计不周产生的,增加唯一索引列即可解决。 2 、这类重复问题通常要求保留重复记录中的第一条记录,操作方法如下 假设有重复的字段为Name,Address,要求得到这两个字段唯一的结果集 select identity( int , 1 , 1 ) as autoID, * into #Tmp from tableName select min(autoID) as autoID into #Tmp2 from #Tmp group by Name,autoID select * from #Tmp where autoID in(select autoID from #tmp2) 最后一个select即得到了Name,Address不重复的结果集(但多了一个autoID字段,实际写时可以写在select子句中省去此列) (四)查询重复 select * from tablename where id in ( select id from tablename group by id having count(id) > 1 ) |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 | 常用的语句 1 、查找表中多余的重复记录,重复记录是根据单个字段(mail_id)来判断 代码如下 复制代码 SELECT * FROM table WHERE mail_id IN (SELECT mail_id FROM table GROUP BY mail_id HAVING COUNT(mail_id) > 1 ); 2 、删除表中多余的重复记录,重复记录是根据单个字段(mail_id)来判断,只留有rowid最小的记录 代码如下 复制代码 DELETE FROM table WHERE mail_id IN (SELECT mail_id FROM table GROUP BY mail_id HAVING COUNT(mail_id) > 1 ) AND rowid NOT IN (SELECT MIN(rowid) FROM table GROUP BY mail_id HAVING COUNT(mail_id )> 1 ); 3 、查找表中多余的重复记录(多个字段) 代码如下 复制代码 SELECT * FROM table WHERE (mail_id,phone) IN (SELECT mail_id,phone FROM table GROUP BY mail_id,phone HAVING COUNT(*) > 1 ); 4 、删除表中多余的重复记录(多个字段),只留有rowid最小的记录 代码如下 复制代码 DELETE FROM table WHERE (mail_id,phone) IN (SELECT mail_id,phone FROM table GROUP BY mail_id,phone HAVING COU(www.111cn.net)NT(*) > 1 ) AND rowid NOT IN (SELECT MIN(rowid) FROM table GROUP BY mail_id,phone HAVING COUNT(*)> 1 ); 5 、查找表中多余的重复记录(多个字段),不包含rowid最小的记录 代码如下 复制代码 SELECT * FROM table WHERE (a.mail_id,a.phone) IN (SELECT mail_id,phone FROM table GROUP BY mail_id,phone HAVING COUNT(*) > 1 ) AND rowid NOT IN (SELECT MIN(rowid) FROM table GROUP BY mail_id,phone HAVING COUNT(*)> 1 ); 存储过程 代码如下 复制代码 declare @max integer, @id integer declare cur_rows cursor local for select 主字段,count(*) from 表名 group by 主字段 having count(*) >; 1 open cur_rows fetch cur_rows into @id , @max while @ @fetch_status = 0 begin select @max = @max - 1 set rowcount @max delete from 表名 where 主字段 = @id fetch cur_rows into @id , @max end close cur_rows set rowcount 0 (一)单个字段 1 、查找表中多余的重复记录,根据(question_title)字段来判断 代码如下 复制代码 select * from questions where question_title in (select question_title from people group by question_title having count(question_title) > 1 ) 2 、删除表中多余的重复记录,根据(question_title)字段来判断,只留有一个记录 代码如下 复制代码 delete from questions where peopleId in (select peopleId from people group by peopleId having count(question_title) > 1 ) and min(id) not in (select question_id from questions group by question_title having count(question_title)> 1 ) (二)多个字段 删除表中多余的重复记录(多个字段),只留有rowid最小的记录 代码如下 复制代码 DELETE FROM questions WHERE (questions_title,questions_scope) IN (SELECT questions_title,questions_scope FROM que(www.111cn.net)stions GROUP BY questions_title,questions_scope HAVING COUNT(*) > 1 ) AND question_id NOT IN (SELECT MIN(question_id) FROM questions GROUP BY questions_scope,questions_title HAVING COUNT(*)> 1 ) 用上述语句无法删除,创建了临时表才删的,求各位达人解释一下。 代码如下 复制代码 CREATE TABLE tmp AS SELECT question_id FROM questions WHERE (questions_title,questions_scope) IN (SELECT questions_title,questions_scope FROM questions GROUP BY questions_title,questions_scope HAVING COUNT(*) > 1 ) AND question_id NOT IN (SELECT MIN(question_id) FROM questions GROUP BY questions_scope,questions_title HAVING COUNT(*)> 1 ); DELETE FROM questions WHERE question_id IN (SELECT question_id FROM tmp); DROP TABLE tmp; |
mysql数据库中的数据越来越多,当然排除不了重复的数据,在维护数据的时候突然想到要把多余的数据给删减掉,剩下有价值的数据。
以下sql语句可以实现查找出一个表中的所有重复的记录.
select user_name,count(*) as count from user_table group by user_name having count>1;
参数说明:
user_name为要查找的重复字段.
count用来判断大于一的才是重复的.
user_table为要查找的表名.
group by用来分组
having用来过滤.
把参数换成自己数据表的相应字段参数,可以先在Phpmyadmin里面或者Navicat里面去运行,看看有哪些数据重复了,然后在数据库里面删除掉,也可以直接将SQL语句放到后台读取新闻的页面里面读取出来,完善成查询重复数据的列表,有重复的可以直接删除。
效果如下:
缺点:这种方法的缺点就是当你的数据库里面的数据量很大的时候,效率很低,我用的是Navicat测试的,数据量不大,效率很高,当然,网站还有其它查询数据重复的SQL语句,举一反三,大家好好研究研究,找到一个适合自己网站的查询语句。
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