php+mysql预查询prepare 与普通查询的性能对比

最新推荐文章于 2021-04-02 06:27:28 发布

最新推荐文章于 2021-04-02 06:27:28 发布 · 139 阅读

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#数据优化

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本文通过对比普通查询与预查询的方式获取MySQL数据的时间消耗，展示了预查询如何显著提高数据库操作效率。实验结果显示，在处理大量数据时，预查询方法能够大幅减少运行时间。

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<?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 { 
				
				$StartMicro = substr($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");
$result = array();
while($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