php+mysql prepare 与普通查询的性能对比实例讲解

网络编程 2021-07-05 14:36www.168986.cn编程入门
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

php+mysql prepare 与普通查询的性能对比

实例代码如下

<?php 
class timer {   
    public $StartTime = 0;   
    public $STime = 0;   
    public $TimeSpent = 0;   
      
    function start(){   
      $this->StartTime = microtime();   
    }   
      
    function s(){   
      $this->STime = microtime();   
    }   
      
    function spent() {   
      if ($this->TimeSpent) {   
      return $this->TimeSpent;   
 
      } else {  
        // http://.manongjc.
        $StartMicro = substr($this->StartTime,0,10);   
        $StartSecond = substr($this->StartTime,11,10);   
        $SMicro = substr($this->STime,0,10);   
        $SSecond = substr($this->STime,11,10);   
        $start = floatval($StartMicro) + $StartSecond;   
        $s = floatval($SMicro) + $SSecond;   
        $this->TimeSpent = $s - $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"); 
$result = array(); 
http://.manongjc./article/1194.html
while($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); 
} 
 
$timer->s();  
echo '</br>预查询mysql运行100000条数据时间为: '.$timer->spent();  
unset($timer);  
//var_dump($result); 

运行结果

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

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