MySQL中MyISAM引擎和Heap引擎执行速度性能测试

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 ]

max_heap_table_size = 128M

[ 建表 ]

use test;

--
-- Storeengineheap
--
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;

--
-- Storeenginemyisam
--
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】

<? php
/* *
*functionlib
*/
function conn(){
$host = " localhost " ;
$user = " root " ;
$pass = "" ;
$db = " test " ;

$conn = mysql_connect ( $host , $user , $pass );
if ( ! $conn || ! is_resource ( $conn )){
die ( " Connecttomysqlfailed: " . 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 );
}

/* *
*Inserttest
*/
$conn = conn();
$count = 200000 ;

// Heapengine
$s1 = get_time();
for ( $i = 0 ; $i < $count ; $i ++ ){
query( $conn , " insertintotbl_heapsetname='heiyeluren',email='[email protected]',summary='Thismessageissummary' " );
}
$e1 = get_time();
echo " Heapengineinsert$countrecordusedtime: " . ( $e1 - $s1 ) . " " ;


// MyISAMengine
$s2 = get_time();
for ( $i = 0 ; $i < $count ; $i ++ ){
query( $conn , " insertintotbl_isamsetname='heiyeluren',email='[email protected]',summary='Thismessageissummary' " );
}
$e2 = get_time();
echo " MyISAMengineinsert$countrecordusedtime: " . ( $e2 - $s2 ) . " " ;


/* *
*Selecttest
*/

$count = 1000 ;
$records = 10000 ;

$s1 = get_time();
for ( $i = 0 ; $i < $count ; $i ++ ){
$res = get_data( $conn , " select*fromtbl_heaplimit$records " );
unset ( $res );
}
$e1 = get_time();
echo " Heapengineselect$countrecordusedtime: " . ( $e1 - $s1 ) . " " ;


$s2 = get_time();
for ( $i = 0 ; $i < $count ; $i ++ ){
$res = get_data( $conn , " select*fromtbl_isamlimit$records " );
unset ( $res );
}
$e2 = get_time();
echo " MyISAMengineselect$countrecordusedtime: " . ( $e2 - $s2 ) . " " ;

?>