这是一个创建于 3554 天前的主题，其中的信息可能已经有所发展或是发生改变。
现在使用的是一个对 MyISAM 表的 SELECT COUNT(*) 获取总数 total，然后除以每页数量 y 之后得到总页数，对于请求的页面 x 计算出到第 x 页的文章数，然后构建子查询（伪代码）：
select * from ? where id>(select id from ? order by id limit x*y,1) limit y
上面算是一个伪代码，大概就是这个思路，不知道有没有优雅一点的分页的方式？想要自己把这个弄清楚。如果有好的思路/轮子，万分感谢！
 |
1
mcfog 2015-03-01 09:45:31 +08:00 via Android
没看懂这里的子查询有啥好处…直接一个limit不就好了？
|
 |
2
laoyuan 2015-03-01 10:14:34 +08:00  1
limit (x - 1) * y, y
|
 |
3
liuhaotian OP 1
|
 |
4
coolwind 2015-03-01 11:14:22 +08:00
用一个limit吧
select * from ? where id in (select id from ? order by id limit (x-1)*y,y) |
|
5
liuhaotian OP 1
|
|
6
coolwind 2015-03-01 11:36:06 +08:00 2
数据量大的话 select * from ? where id in (select id from ? order by id limit (x-1)*y,y) 效率高
小的话，直接limit要高点 |
 |
7
frankzeng 2015-03-01 11:46:04 +08:00
jquery datatable可以前端进行分页，就是第一次进的时候比较慢一点。
|
|
8
coolwind 2015-03-01 11:51:40 +08:00
数据越大，取越后面的记录，差异越大（mysql 5.1不支持上面的带limit的子查询，可以改为innder join）
select count(*) from piwigo_history; +----------+ | count(*) | +----------+ | 6783731 | +----------+ 1 row in set (0.00 sec) mysql> select a.* from piwigo_history as a inner join (select id from piwigo_history order by id limit 6783400,10) as b on a.id=b.id order by a.id; 10 rows in set (1.24 sec) mysql> select a.* from piwigo_history as a inner join (select id from piwigo_history order by id limit 6783410,10) as b on a.id=b.id order by a.id; 10 rows in set (1.32 sec) mysql> select a.* from piwigo_history as a inner join (select id from piwigo_history order by id limit 6783420,10) as b on a.id=b.id order by a.id; 10 rows in set (1.34 sec) 直接读取 mysql> select * from piwigo_history order by id limit 6783400,10; 10 rows in set (12.76 sec) mysql> select * from piwigo_history order by id limit 6783410,10; 10 rows in set (14.33 sec) mysql> select * from piwigo_history order by id limit 6783420,10; 10 rows in set (13.13 sec) |
|
9
coolwind 2015-03-01 11:57:15 +08:00
您这种方式，速度也不错
mysql> select * from piwigo_history where id>=(select id from piwigo_history order by id limit 6783400,1) order by id limit 10; 10 rows in set (1.25 sec) mysql> select * from piwigo_history where id>=(select id from piwigo_history order by id limit 6783410,1) order by id limit 10; 10 rows in set (1.33 sec) mysql> select * from piwigo_history where id>=(select id from piwigo_history order by id limit 6783420,1) order by id limit 10; 10 rows in set (1.37 sec) |
|
10
liuhaotian OP 1
@coolwind 实际上我感觉我自己用的跟你的基本是类似的。直接limit的话跟我们是不一样的。
时间上差了1个数量级，是因为直接limit会全表？ |
 |
11
tabris17 2015-03-01 12:26:52 +08:00
万一不按id排序岂不是傻眼了
|
|
12
laoyuan 2015-03-01 13:26:06 +08:00
所以还是用in好
|
 |
13
cevincheung 2015-03-01 13:44:35 +08:00
换PGSQL大法保平安
|
|
14
coolwind 2015-03-01 13:54:20 +08:00
没有用到索引，确实是全表扫描，然后用文件排序（这种速度很慢）
mysql> explain select * from piwigo_history order by id limit 100000,10; +----+-------------+----------------+------+---------------+------+---------+------+---------+----------------+ | id | select_type | table | type | possible_keys | key | key_len | ref | rows | Extra | +----+-------------+----------------+------+---------------+------+---------+------+---------+----------------+ | 1 | SIMPLE | piwigo_history | ALL | NULL | NULL | NULL | NULL | 6784937 | Using filesort | +----+-------------+----------------+------+---------------+------+---------+------+---------+----------------+ 1 row in set (0.00 sec) mysql> select @@version; +------------+ | @@version | +------------+ | 5.1.73-log | +------------+ 1 row in set (0.00 sec) 当然，如果您不需要排序的话，直接limit速度还是不错 mysql> select * from piwigo_history limit 5000000,10; 10 rows in set (1.50 sec) mysql> select * from piwigo_history limit 6000000,10; 10 rows in set (1.84 sec) |
|
15
liuhaotian OP 1
@coolwind 我试试看啊谢谢 确实没有必要排序
|
 |
16
otakustay 2015-03-01 21:02:58 +08:00
数据量大的时候，in会比较快，同时还要看avg row size，avg row size越大，用limit查询越慢，如果有几个text字段的话会慢到不忍直视
比较快的方法是另建一张表，只存id，先从id表里取到id，再用in去找完整的数据 id表也可以转为Mongo等更适合此类场景的存储，甚至在系统启动时丢进内存（做好同步） |
Select Language