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[MySQL] MYSQL中删除重复记录的方法

数据库 数据库 发布于:2021-07-05 10:09 | 阅读数:190 | 评论:0

  在实际应用中,很可能会碰到一些需要删除某些字段的重复记录,我现在把我能想到的写下来,望高手们补充。
  1、
具体实现如下:

Table         Create Table                                            
------------  --------------------------------------------------------
users_groups  CREATE TABLE `users_groups` (                           
                `id` int(10) unsigned NOT NULL AUTO_INCREMENT,        
                `uid` int(11) NOT NULL,                              
                `gid` int(11) NOT NULL,                              
                PRIMARY KEY (`id`)                                    
              ) ENGINE=InnoDB AUTO_INCREMENT=15 DEFAULT CHARSET=utf8  

users_groups.txt内容:
1,11,502
2,107,502
3,100,503
4,110,501
5,112,501
6,104,502
7,100,502
8,100,501
9,102,501
10,104,502
11,100,502
12,100,501
13,102,501
14,110,501

mysql> load data infile 'c:\\users_groups.txt' into table users_groups fields
terminated by ',' lines terminated by '\n';
Query OK, 14 rows affected (0.05 sec)
Records: 14  Deleted: 0  Skipped: 0  Warnings: 0

mysql> select * from users_groups;

  query result(14 records)

  
iduidgid
111502
2107502
3100503
4110501
5112501
6104502
7100502
8100501
9102501
10104502
11100502
12100501
13102501
14110501
14 rows in set (0.00 sec)
根据一位兄弟的建议修改。
mysql> create temporary table tmp_wrap select * from users_groups group by uid having count(1) >= 1;
Query OK, 7 rows affected (0.11 sec)
Records: 7  Duplicates: 0  Warnings: 0

mysql> truncate table users_groups;
Query OK, 14 rows affected (0.03 sec)

mysql> insert into users_groups select * from tmp_wrap;
Query OK, 7 rows affected (0.03 sec)
Records: 7  Duplicates: 0  Warnings: 0

mysql> select * from users_groups;

  query result(7 records)

  
iduidgid
111502
2107502
3100503
4110501
5112501
6104502
9102501


mysql> drop table tmp_wrap;
Query OK, 0 rows affected (0.05 sec)
  2、还有一个很精简的办法。
  查找重复的,并且除掉最小的那个。
  delete users_groups as a from users_groups as a,
(
select *,min(id) from users_groups group by uid having count(1) > 1
) as b
where a.uid = b.uid and a.id > b.id;

  (7 row(s)affected)
(0 ms taken)
  query result(7 records)

  
iduidgid
111502
2107502
3100503
4110501
5112501
6104502
9102501

  3、现在来看一下这两个办法的效率。
  运行一下以下SQL 语句
  create index f_uid on users_groups(uid);
explain select * from users_groups group by uid having count(1) > 1 union all
select * from users_groups group by uid having count(1) = 1;

  explain select * from  users_groups as a,
(
select *,min(id) from users_groups group by uid having count(1) > 1
) as b
where a.uid = b.uid and a.id > b.id;

  query result(3 records)

  
idselect_typetabletypepossible_keyskeykey_lenrefrowsExtra
1PRIMARYusers_groupsindex(NULL)f_uid4(NULL)14
2UNIONusers_groupsindex(NULL)f_uid4(NULL)14
(NULL)UNION RESULT<union1,2>ALL(NULL)(NULL)(NULL)(NULL)(NULL)

  query result(3 records)

  
idselect_typetabletypepossible_keyskeykey_lenrefrowsExtra
1PRIMARY<derived2>ALL(NULL)(NULL)(NULL)(NULL)4
1PRIMARYarefPRIMARY,f_uidf_uid4b.uid1Using where
2DERIVEDusers_groupsindex(NULL)f_uid4(NULL)14

  很明显的第二个比第一个扫描的函数要少。

  
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