简单测试MySQL5.1表分区功能_MySQL

【测试环境】

操作系统：Windows XP SP2
MySQL： 5.1.19-beta-community-nt-debug

【测试过程】

查看MySQL版本：

mysql> select version();
+--------------------------------+
| version() |
+--------------------------------+
| 5.1.19-beta-community-nt-debug |
+--------------------------------+
1 row in set (0.00 sec)
建立分区表：

mysql> create table p1 (
-> id int(10) not null auto_increment,
-> username varchar(32) default '',
-> email varchar(64) default '',
-> created datetime default '0000-00-00 00:00:00',
-> primary key (id)
-> ) engine=myisam
-> partition by range(id)(
-> partition p1 values less than (10000),
-> partition p2 values less than (20000),
-> partition p3 values less than (30000),
-> partition p4 values less than (40000),
-> partition p5 values less than (50000),
-> partition p6 values less than (60000),
-> partition p7 values less than (70000),
-> partition p8 values less than (80000),
-> partition p9 values less than (90000),
-> partition p10 values less than maxvalue
-> );
Query OK, 0 rows affected (0.08 sec)

建立不分区（普通表）：

mysql> create table p2 (
-> id int(10) not null auto_increment,
-> username varchar(32) default '',
-> email varchar(64) default '',
-> created datetime default '0000-00-00 00:00:00',
-> primary key (id)
-> ) engine=myisam;
Query OK, 0 rows affected (0.00 sec)

插入数据的存储过程：

mysql> delimiter //
mysql> create procedure load_tab()
-> begin
-> declare v int default 0;
-> while v < 100000
-> do
-> insert into p1 (username,email,created) values ('jack', 'jack@example.com', now());
-> set v = v + 1;
-> end while;
-> end
-> //
Query OK, 0 rows affected (0.00 sec)
给两个表分别插入数据：

mysql> delimiter ;
mysql> call load_tab();
Query OK, 1 row affected (11.09 sec)

mysql> insert into p2 select * from p1;
Query OK, 100001 rows affected (1.30 sec)
Records: 100001 Duplicates: 0 Warnings: 0
查询结果比较：

mysql> select count(1) from p1;
+----------+
| count(1) |
+----------+
| 100001 |
+----------+
1 row in set (0.00 sec)

mysql> select count(1) from p2;
+----------+
| count(1) |
+----------+
| 100001 |
+----------+
1 row in set (0.00 sec)

mysql> select * from p1;
100001 rows in set (0.41 sec)

mysql> select * from p2;
100001 rows in set (0.42 sec)
【总结】

看来这个简单数据和在Windows平台上面，数据量太小，还无法看出采用分区表的优势，但是表分区比普通表还是要快 一点点，大数据量没有测试，因为没有安装了MySQL 5.1 的服务器，所以就简单的测试下，当然，还应该选择不同的分区方式，比如hash，混合之类的，这里只是简单的范围分区。

这个测试结果不太靠谱，姑且看看，建议需要使用的还是自己测试看看才是正道