今天同事问到一个关于单例模式在php中是否有用的问题,我们知道,单例的目的是为了避免重复生产相同的对象,一般情况在数据库连接中,为了避免多次拿到相同数据库连接,使用到单例模式,我们来看一下单例模式数据库连接中的使用。

  我们先看一段代码,我们想对数据库做两次连接

<?php
$con = mysql_connect("127.0.0.1", "xxxxxxx", "xxxxxxx");
$con1 = mysql_connect("127.0.0.1", "xxxxxxx", "xxxxxxx");
var_dump($con1);
var_dump($con);
sleep(1000); //避免脚本执行完连接中断

从结果,我们可以看到$con和$con1的值是一样的,实际上mysql_connect()函数返回的是php脚本申请到的socket标识符,一旦发现申请过,同时发现不需要从新连接,它就返回申请过的标识符,但是一旦因为超时等原因关闭了连接,该socket标识符失效了怎么办。mysql_connect()提供第四个参数来表示是否需要从新连接我们看一下

<?php
$con = mysql_connect("127.0.0.1", "xxxxxxx", "xxxxxxx", true);
var_dump($con); $con1 = mysql_connect("127.0.0.1", "xxxxxxx", "xxxxxxx", true);
var_dump($con1);
sleep(1000)

现在,我们发现建立了两次连接,我们可以用同样的方式,建立三次,四次,甚至更多的连接,可是这样的方式,必定带来连接资源的极大损耗,我们只需要一个有用的连接,其余的都释放掉,如此,我们封装一下测试代码,如下:

<?php
class instance
{
static $link; public static function getLink($newLink = false)
{
if(isset(self::$link) && self::$link && !$newLink)
{
return self::$link;
}
else
{
self::$link = mysql_connect("127.0.0.1", "xxxxxxx", "xxxxxxx", $newLink);
return self::$link;
}
}
} var_dump(instance::getLink()); //获取新连接
var_dump(instance::getLink());
var_dump(instance::getLink(true)); //获取新连接
var_dump(instance::getLink(true)); //获取新连接
var_dump(instance::getLink());

我们再看一下结果,有三处获取新连接,在获取新连接后,由于更新self::$link 的结果,旧的连接就会被释放掉。

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" alt="" />
 

总结:

1、数据库连接的单例模式可以提供唯一可使用对象,释放无用连接资源

2、封装代码,使得代码简洁,清晰

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