MySQL中MyISAM引擎和Heap引擎执行速度性能测试
【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 ]
[ 建表 ]
--
-- 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】
Heap在插入、查询、更新操作上明显要比MyISAM快，但是删除操作稍微比较慢，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。
当然了，Heap也没有比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了，如果数据太多的情况，可以考虑把部分常用的数据保存到Heap表中，同时也可以结合Memcache等缓存工具来帮助缓存数据。
另外，关于InnoDB和MyISAM的性能测试，可以参考我之前的测试数据：
http://blog.csdn.net/heiyeshuwu/archive/2007/04/10/1559640.aspx
【测试代码】
/**
* function lib
*/
function conn(){
$host = "localhost";
$user = "root";
$pass = "";
$db = "test";
$conn = mysql_connect($host, $user, $pass);
if (!$conn || !is_resource($conn)){
die("Connect to mysql failed: ". mysql_error());
}
mysql_select_db($db);
return $conn;
}
function query($conn, $sql){
$res = mysql_query($sql, $conn);
if (!$res){
echo mysql_error()." ";
return false;
}
return true;
}
function get_data($conn, $sql){
$res = mysql_query($sql, $conn);
if (!$res){
echo mysql_error()." ";
return false;
}
$result = array();
while($row = mysql_fetch_array($res)){
$result[] = $row;
}
return $result;
}
function get_time()
{
list($usec, $sec) = explode(" ", microtime());
return ((float)$usec + (float)$sec);
}
/**
* Insert test
*/
$conn = conn();
$count = 200000;
//Heap engine
$s1 = get_time();
for($i=0; $i<$count; $i++){
query($conn, "insert into tbl_heap set name = 'heiyeluren', email='heiyeluren@abc.com', summary='This message is summary'");
}
$e1 = get_time();
echo "Heap engine insert $count record used time: ". ($e1-$s1) ." ";
//MyISAM engine
$s2 = get_time();
for($i=0; $i<$count; $i++){
query($conn, "insert into tbl_isam set name = 'heiyeluren', email='heiyeluren@abc.com', summary='This message is summary'");
}
$e2 = get_time();
echo "MyISAM engine insert $count record used time: ". ($e2-$s2) ." ";
/**
* Select test
*/
$count = 1000;
$records = 10000;
$s1 = get_time();
for($i=0; $i<$count; $i++){
$res = get_data($conn, "select * from tbl_heap limit $records");
unset($res);
}
$e1 = get_time();
echo "Heap engine select $count record used time: ". ($e1-$s1) ." ";
$s2 = get_time();
for($i=0; $i<$count; $i++){
$res = get_data($conn, "select * from tbl_isam limit $records");
unset($res);
}
$e2 = get_time();
echo "MyISAM engine select $count record used time: ". ($e2-$s2) ." ";
?>
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