php+mysql预查询prepare 与普通查询的性能对比

prepare可以解决大访问量的网站给数据库服务器所带来的负载和开销，本文章通过实例向大家介绍预查询prepare与普通查询的性能对比，需要的朋友可以参考一下。

实例代码如下：

<?php
class timer {
        public $StartTime = 0;
        public $StopTime = 0;
        public $TimeSpent = 0;     

        function start(){
            $this->StartTime = microtime();
        }     

        function stop(){
            $this->StopTime = microtime();
        }     

        function spent() {
            if ($this->TimeSpent) {
            return $this->TimeSpent;     

            } else {
                //  http://www.manongjc.com
                $StartMicro = substr($this->StartTime,0,10);
                $StartSecond = substr($this->StartTime,11,10);
                $StopMicro = substr($this->StopTime,0,10);
                $StopSecond = substr($this->StopTime,11,10);
                $start = floatval($StartMicro) + $StartSecond;
                $stop = floatval($StopMicro) + $StopSecond;
                $this->TimeSpent = $stop - $start;  

            return round($this->TimeSpent,8).'秒';
            }
        }   

}  

$timer = new timer;
$timer->start();    

$mysql = new mysqli('localhost','root','root','ganbaobao_ucenter');  

/*
$query = $mysql->query("select username,email from uc_members where uid < 100000");
$result = array();
http://www.manongjc.com/article/1194.html
while($result = $query->fetch_array())
{
   $result[] = array('name'=>$result['username'],'email'=>$result['email']);
}
*/
$query_prepare = $mysql->prepare("select username,email from uc_members where uid < ?");  

$id = 100000;
$query_prepare->bind_param("i",$id);  

$query_prepare->execute();
$query_prepare->bind_result($username,$email);  

$result = array();
while($query_prepare->fetch())
{
    $result[] = array('name'=>$username,'email'=>$email);
}  

$timer->stop();
echo '</br>预查询mysql运行100000条数据时间为: '.$timer->spent();
unset($timer);
//var_dump($result);  

普通mysql运行1000条数据时间为: 0.011621秒

普通mysql运行10000条数据时间为: 0.07766891秒

普通mysql运行100000条数据时间为: 0.10834217秒

预查询mysql运行1000条数据时间为: 0.00963211秒

预查询mysql运行10000条数据时间为: 0.04614592秒

预查询mysql运行100000条数据时间为: 0.05989885秒