select xx from table_name wheere xxx order by 字段A limit offset;
表数据总共 48 条,分页数量正常,但出现了结果混杂的情况,第一页的数据出现在了第二页上;如果 order by 字段B 就不会出现这个现象,怎么会这样呢!

If multiple rows have identical values in the ORDER BY columns, the server is free to return those rows in any order, and may do so differently depending on the overall execution plan. In other words, the sort order of those rows is nondeterministic with respect to the nonordered columns.

One factor that affects the execution plan is LIMIT, so an ORDER BY query with and without LIMIT may return rows in different orders.

问题重现

本次实验使用社区版 MySQL 5.6.26(因为小明出现问题的环境就是这个版本O(∩_∩)O~),下面先创建实验环境和初始化测试数据:

root@localhost [(none)]>select @@version;
+------------+
| @@version |
+------------+
| 5.6.26-log |
+------------+
1 row in set (0.00 sec) root@localhost [(none)]>show variables like "sql_mode";
+---------------+------------------------+
| Variable_name | Value |
+---------------+------------------------+
| sql_mode | NO_ENGINE_SUBSTITUTION |
+---------------+------------------------+
1 row in set (0.00 sec) root@localhost [(none)]>create database glon_ho;
Query OK, 1 row affected (0.04 sec) root@localhost [(none)]>use glon_ho
Database changed root@localhost [glon_ho]>create table glon(
-> id int not null auto_increment primary key,
-> name varchar(20) not null,
-> create_time datetime not null,
-> age tinyint unsigned default 18
-> );
Query OK, 0 rows affected (0.01 sec) root@localhost [glon_ho]>INSERT INTO `glon` VALUES (1, 'Eason Chan', '2017-05-02 08:10:10', 19),(2, 'Glon Ho', '2017-05-03 12:10:10', 18),(3, '赵敏', '2017-05-03 14:10:10', 17),(4, 'Jacky Cheung', '2017-05-02 14:00:00', 22),(5, '周芷若', '2017-05-02 14:00:00', 16),(6, 'Andy Lau', '2017-05-02 14:00:00', 50),(7, '至尊宝', '2017-05-02 14:00:00', 20),(8, '刘三姐', '2017-05-02 14:00:00', 19);
Query OK, 8 rows affected (0.01 sec)
Records: 8 Duplicates: 0 Warnings: 0 root@localhost [glon_ho]>select * from glon;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
+----+--------------+---------------------+------+
8 rows in set (0.00 sec)

这里创建了一个 glon 表,字段有自增 id, 姓名 name, 年龄 age, 及用户注册时间 create_time。

接着来复现问题

  • 根据用户注册时间 create_time 来排序:
root@localhost [glon_ho]>select * from glon ORDER BY create_time limit 0, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time limit 4, 4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec)

可以看到两次查询结果中都出现了 id 为 8 的刘三姐,从上面初始化数据来看,总共有 8 条数据,现在不但分页出现重复数据,还丢了一条!

问题确实重现了,不过先不急,我们再来试多几组其他的排序方式。

  • create_time 和 age 组合排序
root@localhost [glon_ho]>select * from glon ORDER BY create_time,age limit 0, 4;
+----+------------+---------------------+------+
| id | name | create_time | age |
+----+------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
+----+------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time,age limit 4, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec)
  • create_time 和 id 组合排序
root@localhost [glon_ho]>select * from glon ORDER BY create_time,id limit 0, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time,id limit 4, 4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec)
  • 主键 id 排序
root@localhost [glon_ho]>select * from glon ORDER BY id limit 0, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY id limit 4, 4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec)

看到,后面的几组排序方式都没有再出现问题了,结合官档,我们知道 order by 排序的时候,如果排序字段中有多行相同的列值,则排序结果是不确定的。所以后面的几组组合形式的排序或者是主键 id 的排序,因为唯一性高,所以排序是确定的,不会出现结果混乱的问题。

那是不是可以就此结束了呢,no way, 我们再来看下面的实验,继续巩固一下:

  • 根据年龄 age 来排序:
root@localhost [glon_ho]>select * from glon ORDER BY age limit 0, 4;
+----+------------+---------------------+------+
| id | name | create_time | age |
+----+------------+---------------------+------+
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
+----+------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY age limit 4, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec)

咦,这个排序也只是根据一个字段 age 来排序,怎么就没有出问题呢?不急,还有招:

root@localhost [glon_ho]>insert into glon values (9,'乔峰','2017-05-03 13:10:10',22),(10,'段誉','2017-05-03 15:10:10',19),(11,'郭靖','2017-05-03 17:10:10',20),(12,'黄蓉','2017-05-03 08:10:10',19);
Query OK, 4 rows affected (0.01 sec)
Records: 4 Duplicates: 0 Warnings: 0 root@localhost [glon_ho]>select * from glon;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 9 | 乔峰 | 2017-05-03 13:10:10 | 22 |
| 10 | 段誉 | 2017-05-03 15:10:10 | 19 |
| 11 | 郭靖 | 2017-05-03 17:10:10 | 20 |
| 12 | 黄蓉 | 2017-05-03 08:10:10 | 19 |
+----+--------------+---------------------+------+
12 rows in set (0.00 sec)

我又给 glon 表新增了几条数据,然后再来看看:

root@localhost [glon_ho]>select * from glon ORDER BY create_time limit 0, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time limit 4, 4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 12 | 黄蓉 | 2017-05-03 08:10:10 | 19 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time limit 8, 4;
+----+--------+---------------------+------+
| id | name | create_time | age |
+----+--------+---------------------+------+
| 9 | 乔峰 | 2017-05-03 13:10:10 | 22 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 10 | 段誉 | 2017-05-03 15:10:10 | 19 |
| 11 | 郭靖 | 2017-05-03 17:10:10 | 20 |
+----+--------+---------------------+------+
4 rows in set (0.00 sec)

根据 create_time 排序,没有问题了,再来:

root@localhost [glon_ho]>select * from glon ORDER BY age limit 0, 4;
+----+------------+---------------------+------+
| id | name | create_time | age |
+----+------------+---------------------+------+
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
+----+------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY age limit 4, 4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 12 | 黄蓉 | 2017-05-03 08:10:10 | 19 |
| 10 | 段誉 | 2017-05-03 15:10:10 | 19 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY age limit 8, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 9 | 乔峰 | 2017-05-03 13:10:10 | 22 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec)

可以看到根据年龄 age 排序,问题出现了。

然后在看看组合的排序:

root@localhost [glon_ho]>select * from glon ORDER BY create_time,id limit 0, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time,id limit 4, 4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 12 | 黄蓉 | 2017-05-03 08:10:10 | 19 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time,id limit 8, 4;
+----+--------+---------------------+------+
| id | name | create_time | age |
+----+--------+---------------------+------+
| 9 | 乔峰 | 2017-05-03 13:10:10 | 22 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 10 | 段誉 | 2017-05-03 15:10:10 | 19 |
| 11 | 郭靖 | 2017-05-03 17:10:10 | 20 |
+----+--------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time,age limit 0, 4;
+----+------------+---------------------+------+
| id | name | create_time | age |
+----+------------+---------------------+------+
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
+----+------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time,age limit 4, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
| 12 | 黄蓉 | 2017-05-03 08:10:10 | 19 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY create_time,age limit 8, 4;
+----+--------+---------------------+------+
| id | name | create_time | age |
+----+--------+---------------------+------+
| 9 | 乔峰 | 2017-05-03 13:10:10 | 22 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 10 | 段誉 | 2017-05-03 15:10:10 | 19 |
| 11 | 郭靖 | 2017-05-03 17:10:10 | 20 |
+----+--------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY age,id limit 0, 4;
+----+------------+---------------------+------+
| id | name | create_time | age |
+----+------------+---------------------+------+
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
+----+------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY age,id limit 4, 4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 10 | 段誉 | 2017-05-03 15:10:10 | 19 |
| 12 | 黄蓉 | 2017-05-03 08:10:10 | 19 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon ORDER BY age,id limit 8, 4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 11 | 郭靖 | 2017-05-03 17:10:10 | 20 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 9 | 乔峰 | 2017-05-03 13:10:10 | 22 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec)

思考

既然排序不定,那么给排序字段加上索引会不会有用呢?

root@localhost [glon_ho]>alter table glon add index ix_age(age);
Query OK, 0 rows affected (0.02 sec)
Records: 0 Duplicates: 0 Warnings: 0 root@localhost [glon_ho]>show create table glon\G
*************************** 1. row ***************************
Table: glon
Create Table: CREATE TABLE `glon` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` varchar(20) NOT NULL,
`create_time` datetime NOT NULL,
`age` tinyint(3) unsigned DEFAULT '18',
PRIMARY KEY (`id`),
KEY `ix_age` (`age`)
) ENGINE=InnoDB AUTO_INCREMENT=13 DEFAULT CHARSET=utf8
1 row in set (0.00 sec) root@localhost [glon_ho]>select * from glon order by age limit 0,4;
+----+------------+---------------------+------+
| id | name | create_time | age |
+----+------------+---------------------+------+
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
+----+------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon order by age limit 4,4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 12 | 黄蓉 | 2017-05-03 08:10:10 | 19 |
| 10 | 段誉 | 2017-05-03 15:10:10 | 19 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from glon order by age limit 8,4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 9 | 乔峰 | 2017-05-03 13:10:10 | 22 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec)

也可以不在 order by 后面加多一列增加唯一性,可以改写成下面的形式:

root@localhost [glon_ho]>select * from (select distinct g.* from glon g order by age) t limit 0,4;
+----+------------+---------------------+------+
| id | name | create_time | age |
+----+------------+---------------------+------+
| 5 | 周芷若 | 2017-05-02 14:00:00 | 16 |
| 3 | 赵敏 | 2017-05-03 14:10:10 | 17 |
| 2 | Glon Ho | 2017-05-03 12:10:10 | 18 |
| 1 | Eason Chan | 2017-05-02 08:10:10 | 19 |
+----+------------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from (select distinct g.* from glon g order by age) t limit 4,4;
+----+-----------+---------------------+------+
| id | name | create_time | age |
+----+-----------+---------------------+------+
| 10 | 段誉 | 2017-05-03 15:10:10 | 19 |
| 8 | 刘三姐 | 2017-05-02 14:00:00 | 19 |
| 12 | 黄蓉 | 2017-05-03 08:10:10 | 19 |
| 11 | 郭靖 | 2017-05-03 17:10:10 | 20 |
+----+-----------+---------------------+------+
4 rows in set (0.00 sec) root@localhost [glon_ho]>select * from (select distinct g.* from glon g order by age) t limit 8,4;
+----+--------------+---------------------+------+
| id | name | create_time | age |
+----+--------------+---------------------+------+
| 7 | 至尊宝 | 2017-05-02 14:00:00 | 20 |
| 9 | 乔峰 | 2017-05-03 13:10:10 | 22 |
| 4 | Jacky Cheung | 2017-05-02 14:00:00 | 22 |
| 6 | Andy Lau | 2017-05-02 14:00:00 | 50 |
+----+--------------+---------------------+------+
4 rows in set (0.00 sec)

总之,如果发生了,最简单的方法就是在排序列(如 create time)上加索引,然后在 order by 上明示 primary key,这个问题就非常圆满的解决了。

总结

MySQL 使用 limit 进行分页时,可能会出现重复数据,通过加入 order by 子句可以解决,但是需要注意的是,如果排序字段有相同值的情况下,由于排序字段数据重复,可能会导致每次查询排序后结果顺序不同,分页还是会出现重复数据,这时可以加入第二个排序字段,提高排序的唯一性,最好保证排序的字段在表中的值是唯一的,这样就可以少写一个排序字段,增加查询效率,因为 order by 后面有多个排序字段时,无法用到索引。

推荐 2015年 06 月《数据库内核月报》的一篇旧文:MySQL · 答疑解惑 · MySQL Sort 分页

MySQL 分页数据错乱重复的更多相关文章

  1. 解决 MySQL 分页数据错乱重复

    前言 一天,小明兴匆匆的在通讯工具上说:这边线上出现了个奇怪的问题,麻烦 DBA 大大鉴定下,执行语句 select xx from table_name wheere xxx order by 字段 ...

  2. mysql 分页数据错乱

    最近在使用mysql 分页查询数据的时候发现返回的数据与预期的不一样,显示数据重复错乱. 在官方文档 有这样一句话 If multiple rows have identical values in ...

  3. EF获取多个数据集以及MySQL分页数据查询优化

    背景:MySQL分页查询语句为 ,10; 一般页面还会获取总条数,这时候还需要一条查询总条数语句 , 这样数据库需要执行两次查询操作.MySQL提供了SQL_CALC_FOUND_ROWS追踪总条数的 ...

  4. Mysql 删除数据表重复行

    准备示例数据 以下sql创建表,并将示例数据插入到用于演示的contacts表中. CREATE TABLE contacts ( id INT PRIMARY KEY AUTO_INCREMENT, ...

  5. SpringMVC+Mybatis实现的Mysql分页数据查询

    周末这天手痒,正好没事干,想着写一个分页的例子出来给大家分享一下. 这个案例分前端和后台两部分,前端使用面向对象的方式写的,里面用到了一些回调函数和事件代理,有兴趣的朋友可以研究一下.后台的实现技术是 ...

  6. github PageHelper使用PageInfo数据错乱问题

    如果出现了数据错乱,检查一下代码是否正确 PageHelper.start(1,10); List<MyEntity> lists = mapper.query(); PageInfo&l ...

  7. MySQL大数据分页的优化思路和索引延迟关联

    之前上次在部门的分享会上,听了关于MySQL大数据的分页,即怎样使用limit offset,N来进行大数据的分页,现在做一个记录: 首先我们知道,limit offset,N的时候,MySQL的查询 ...

  8. mysql插入数据与删除重复记录的几个例子(收藏)

    mysql插入数据与删除重复记录的几个例子 12-26shell脚本实现mysql数据的批量插入 12-26mysql循环语句插入数据的例子 12-26mysql批量插入数据(insert into ...

  9. iOS不得姐项目--推荐关注模块(一个控制器控制两个tableView),数据重复请求的问题,分页数据的加载,上拉下拉刷新(MJRefresh)

    一.推荐关注模块(一个控制器控制两个tableView) -- 数据的显示 刚开始加载数据值得注意的有以下几点 导航控制器会自动调整scrollView的contentInset,最好是取消系统的设置 ...

随机推荐

  1. 【最大公约数&链表】权值 @upcexam5921

    时间限制: 1 Sec 内存限制: 512 MB 题目描述 给定一个长为n的正整数序列Ai.对于它的任意一个连续的子序列{Al, Al+1, …, Ar},定义其权值W (l, r)为其长度与序列中所 ...

  2. python 可迭代对象

    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1. 可以用for 进行迭代的,一般都是可迭代对象: ...

  3. python之流程控制与运算符

    第一:流程控制 一:if条件语句 计算机之所以能做很多自动化的任务,因为它可以自己做条件判断. 单分支语句: 单分支,单个条件 age = 20 if age >= 18: print('you ...

  4. CSS魔法堂:改变单选框颜色就这么吹毛求疵!

    前言  是否曾经被业务提出"能改改这个单选框的颜色吧!让它和主题颜色搭配一下吧!",然后苦于原生不支持换颜色,最后被迫自己手撸一个凑合使用.若抛开input[type=radio] ...

  5. lua的性能优化

    Roberto Ierusalimschy写过经典的Lua 性能提示的文章,链接地址>> 我通过实际的代码来验证,发现一个问题.当我使用 LuaStudio 运行时,发现结果反而与提示相反 ...

  6. 【JavaScript 插件】图片展示插件 PhotoSwipe 初识

    前言: 考虑自己网站的图片展示,而且要支持移动端和PC端.自己写的代码也不尽如意,要写好的话也需要时间,于是就想到了使用相关插件. 准备: PhotoSwipe 官网地址:http://photosw ...

  7. 《分布式任务调度平台XXL-JOB》

    一.简介 1.1 概述 XXL-JOB是一个轻量级分布式任务调度框架,其核心设计目标是开发迅速.学习简单.轻量级.易扩展.现已开放源代码并接入多家公司线上产品线,开箱即用. 1.2 特性 1.简单:支 ...

  8. C# 多线程參数传递

    1.通过实体类来传递(能够传递多个參数与获取返回值),demo例如以下: 须要在线程中调用的函数: namespace ThreadParameterDemo { public class Funct ...

  9. Clion使用MinGW编译好的boost库

    MinGW编译Boost库可以参考我之前写的编译Boost的文章. 以下是cmake链接boost静态库的配置: cmake_minimum_required(VERSION 3.8) project ...

  10. 如何在你的Vue项目配置vux

    做移动端项目的话vue现在是首要的选择,足够轻便,文档足够全,当然用的人多,项目中遇到的坑别人可能也遇到过,解决起来也比较方便,至于在开发中做需要的移动端组件库,个人比较推崇vux. 其实项目里组件库 ...