MySQL中MyISAM引擎和Heap引擎執行速度性能測試

【測試環境】

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;





【插入數據】

說明：每次都是空表插入數據

[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


【查詢數據】

表里分表有：200000條記錄，兩個表數據一致

[直接select，10000次，每次取100條記錄]
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條記錄]
Heap engine select 1000 times, 10000 record used time: 111.54126811028
MyISAM engine select 1000 record used time: 116.79438710213

[增加where條件，1000次，每次取10000條記錄]
Heap engine select 1000 times, 10000 record used time: 111.52102303505
MyISAM engine select 1000 times, 10000 record used time: 117.68481087685

[where條件，10000次，每次從1000條起，取1000條記錄]
Heap engine select 10000 times, 1000 record used time: 124.28988695145
MyISAM engine select 10000 times, 1000 record used time: 139.82107305527

[where條件增加like，10000次，每次從1000條起，取1000條記錄]
Heap engine select 10000 times, 1000 record used time: 145.43780493736
MyISAM engine select 10000 times, 1000 record used time: 163.56296992302

[where條件增加索引，10000次，每次從1000條起，取1000條記錄]

-- 建立索引 (在SQLyob下執行)
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: 不合適的索引還不如不要。。。-_-#

[SQLyog下進行count操作]
Heap engine select count used time: 4.53
MyISAM engine select count used time: 3.28

[SQLyob下進行select操作]
速度都很快，都在1秒一下，不論是1000條記錄，還是200000條記錄，個人猜測可能不準確




【更新操作】

[更新所有name=heiyeluren的記錄為heiyeluren2，在SQLyog下執行]
Heap engine update used time: 2.500
MyISAM engine update used time: 16.000


【刪除操作】

[刪除所有name=heiyeluren2的記錄，在SQLyog下執行]
Heap engine delete used time: 51.172
MyISAM engine delte used time: 5.578

【總結】

Heap在插入、查詢、更新操作上明顯要比MyISAM快，但是刪除操作稍微比較慢，可能跟它在內存中的存儲結構有關系，所以我們完全可以把Heap作為我們一個MyISAM表的一個備份，比如可以保存一些實時性要求比較高的數據，比如點擊量、評論量、固定的用戶信息等等，因為這些信息普遍就是插入和查詢操作。

當然了，Heap也沒有比MyISAM快太多，這樣說明我的MyISAM速度還是非?？斓?，所以一般情況下，MyISAM能夠滿足大部分的應用了，如果數據太多的情況，可以考慮把部分常用的數據保存到Heap表中，同時也可以結合Memcache等緩存工具來幫助緩存數據。

另外，關于InnoDB和MyISAM的性能測試，可以參考我之前的測試數據：
http://blog.csdn.net/heiyeshuwu/archive/2007/04/10/1559640.aspx

【測試代碼】

＜?php
/**
* 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) ." ";

?＞

原文轉自：http://www.kjueaiud.com