MyISAM引擎和Heap引擎执行速度的性能测试

上一篇 / 下一篇 2008-01-12 16:28:00 / 个人分类：七嘴八舌

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:

<?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) ." ";

?>