注意一下ICP的使用条件：
只能用于二级索引(secondary index)。
explain显示的执行计划中type值（join 类型）为range、 ref、 eq_ref或者ref_or_null。且查询需要访问表的整行数据，即不能直接通过二级索引的元组数据获得查询结果(索引覆盖)。
ICP可以用于MyISAM和InnnoDB存储引擎，不支持分区表（5.7将会解决这个问题）。
二.order by .. limit ...优化
from MySQL 5.6.2 开始对order by .. limit ...优化：
select col1,col2 from tx order by no_key_col limit offset,rowcount;
From 5.6.2 by treating the sort buffer as a priority queue:
Scan the table, inserting the select list columns from each selected row in sorted order in the queue. If the queue is full, bump out the last row in the sort order.
Return the first N rows from the queue. (If M was specified, skip the first M rows and return the next N rows.)
Before 5.6.2，Previously, the server performed this operation by using a merge file for the sort:
Scan the table, repeating these steps through the end of the table:
Select rows until the sort buffer is filled.
Write the first N rows in the buffer (M+N rows if M was specified) to a merge file.
Sort the merge file and return the first N rows. (If M was specified, skip the first M rows and return the next N rows.)
The cost of the table scan is the same for the queue and merge-file methods, so the optimizer chooses between methods based on other costs:
The queue method involves more CPU for inserting rows into the queue in order
The merge-file method has I/O costs to write and read the file and CPU cost to sort it
算法：
5.6使用queue：
把select 的列放入队列里，当队列满了把队列最后的出队列，就是把最大的、次大的、.....依次推到队列的前面，表所有行的列全部放完后，把第一个前rowcount 出队列，依次进行，都在sort buffer 里排序。
5.6之前：使用 merge file
把row insert 到 sort buffer，sort buffer相当于一个堆栈，sort buffer被插满了，依次把当前堆栈里前面的rowcount出队列放入到merge file,直到所有的排好序，然后通过merge file 再排序取出结果。
--------------------------------------分割线 --------------------------------------
用mysqldump和mysqlbinlog的MySQL数据恢复实验
Ubuntu 14.04下安装MySQL
Ubuntu 14.04 LTS 安装 LNMP Nginx\PHP5 (PHP-FPM)\MySQL
Ubuntu 12.04 LTS 构建高可用分布式 MySQL 集群
Ubuntu 12.04下源代码安装MySQL5.6以及Python-MySQLdb
--------------------------------------分割线 --------------------------------------