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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
php+mysql预查询prepare 与普通查询的性能对比
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