MyISAM引擎和Heap引擎执行速度的性能测试:
测试环境:
CPU: Intel Pentium4 2.66GHz
Memory: 1GB
Disk: 73GB/SCSI
OS: FreeBSD 4.11
PHP: PHP 5.2.1
MySQL: MySQL 4.1.23b |
前期工作:
my.cnf:
max_heap_table_size = 128M |
建表:
use test;
--
-- Store engine heap
--
CREATE TABLE `tbl_heap` (
`id` int(11) NOT NULL auto_increment,
`name` varchar(32) NOT NULL default '',
`email` varchar(32) NOT NULL default '',
`summary` varchar(255) default '',
KEY `id` (`id`)
) ENGINE=HEAP DEFAULT CHARSET=gbk;
--
-- Store engine myisam
--
CREATE TABLE `tbl_isam` (
`id` int(11) NOT NULL auto_increment,
`name` varchar(32) NOT NULL default '',
`email` varchar(32) NOT NULL default '',
`summary` varchar(255) default '',
KEY `id` (`id`)
) ENGINE=MyISAM DEFAULT CHARSET=gbk; |
插入数据:
说明:每次都是空表插入数据
[插入10000 Record]
Heap engine insert 10000 record used time: 3.5008587837219
MyISAM engine insert 10000 record used time: 4.5881390571594
[50000 Record]
Heap engine insert 50000 record used time: 19.895354986191
MyISAM engine insert 50000 record used time: 33.866044998169
[100000 Record]
Heap engine insert 100000 record used time: 36.200875997543
MyISAM engine insert 100000 record used time: 68.34194111824
[200000 Record]
Heap engine insert 200000 record used time: 68.00207901001
MyISAM engine insert 200000 record used time: 125.26263713837 | |
查询数据:
表里分表有:200000条记录,两个表数据一致
[直接select,10000次,每次取100条记录]
Heap engine select 10000 times, 100 record used time: 12.122506141663
MyISAM engine select 10000 times, 100 record used time: 19.512896060944
[直接select,1000次,每次取10000条记录]
Heap engine select 1000 times, 10000 record used time: 111.54126811028
MyISAM engine select 1000 record used time: 116.79438710213
[增加where条件,1000次,每次取10000条记录]
Heap engine select 1000 times, 10000 record used time: 111.52102303505
MyISAM engine select 1000 times, 10000 record used time: 117.68481087685
[where条件,10000次,每次从1000条起,取1000条记录]
Heap engine select 10000 times, 1000 record used time: 124.28988695145
MyISAM engine select 10000 times, 1000 record used time: 139.82107305527
[where条件增加like,10000次,每次从1000条起,取1000条记录]
Heap engine select 10000 times, 1000 record used time: 145.43780493736
MyISAM engine select 10000 times, 1000 record used time: 163.56296992302
[where条件增加索引,10000次,每次从1000条起,取1000条记录]
-- 建立索引 (在SQLyob下执行)
ALTER TABLE tbl_heap ADD INDEX idx_name (name);
ALTER TABLE tbl_isam ADD INDEX idx_name (name);
Heap engine alter table add index used time: 2.078
MyISAM engine alter table add index used time: 13.516
Heap engine select 10000 times, 1000 record used time: 153.48922395706
MyISAM engine select 10000 times, 1000 record used time: 239.86818814278
PS: 不合适的索引还不如不要。。。-_-#
[SQLyog下进行count操作]
Heap engine select count used time: 4.53
MyISAM engine select count used time: 3.28
[SQLyob下进行select操作]
速度都很快,都在1秒一下,不论是1000条记录,还是200000条记录,个人猜测可能不准确 |
更新操作:
[更新所有name=heiyeluren的记录为heiyeluren2,在SQLyog下执行]
Heap engine update used time: 2.500
MyISAM engine update used time: 16.000 |
删除操作:
[删除所有name=heiyeluren2的记录,在SQLyog下执行]
Heap engine delete used time: 51.172
MyISAM engine delte used time: 5.578 |
总结:
大家可以发现,Heap在插入、查询、更新操作上明显要比MyISAM快,但是删除操作稍稍有些慢,可能跟它在内存中的存储结构有关系,所以我们完全可以把Heap作为我们一个MyISAM表的一个备份,比如可以保存一些实时性要求比较高的数据,比如点击量、评论量、固定的用户信息等等,因为这些信息普遍就是插入和查询操作。
其实,Heap并没有比MyISAM快太多,这样说明我的MyISAM速度还是非常快的,所以一般情况下,MyISAM能够满足大部分的应用,如果数据太多的话,大家可以考虑把部分常用的数据保存到Heap表中,同时我们也可以结合Memcache等缓存工具来辅助缓存数据。
测试代码:
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