php单例模式在数据库连接中的使用
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。
aaarticlea/jpeg;base64,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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
php单例模式在数据库连接中的使用的更多相关文章
- php应用数据库连接中的单例模式
所谓的单例模式简而言之就是某个类在运行过程中只有一个实例,并且能够自行实例化并为整个系统的运行提供这个实例.在数据库连接中使用单例模式实例化数据库连接对象主要是可以避免重复的实例化对象而造成资源的浪费 ...
- 利用单例模式设计数据库连接Model类
之前在<[php]利用php的构造函数与析构函数编写Mysql数据库查询类>(点击打开链接)写过的Mysql数据库查询类还不够完美,利用<[Java]单例模式>(点击打开链接) ...
- 单例模式在Unity中的应用
起因:每个游戏场景中都会有许多的游戏对象,而各个游戏场景之间也是同等的关系.如何去管理它们,是我们要解决的问题. 场景中各脚本间的直接访问,会在各脚本间形成一个巨大而又混乱的网络,这给以后代码的维护带 ...
- 【Java】java数据库连接中C3P、DBCP、Druid连接池的使用
使用JDBC的步骤:1.加载数据库驱动2.通过DriverManager获得数据库连接3.通过Connection获得Statement对象4.使用Statement执行SQL语句.5.操作结果集合6 ...
- Java多线程-----单例模式在多线程中的使用用问题
1.饿汉模式(立即加载模式)与多线程 不管需不需要用到实例都要去创建实例,即在类产生的时候就创建好实例 package com.thread; /** * 饿汉模式 * * @author yy ...
- JS单例模式在工作中的使用
为了尽可能的减少全局变量的污染,在写js的时候可以采用单例模式,形式如下: 比如有一个js叫demo.js,那么我们可以在js里这样写: var demo = {} 这样做的目的是将整个js当成一个对 ...
- JDBC【3】-- SPI技术使用以及在数据库连接中的使用
目录 1.SPI是什么? 2.如何使用SPI来提供自定义服务? 2.1 DBInterface定义接口 2.2 模拟Mysql实现驱动 2.3 模拟SqlServer实现驱动 2.4 模拟用户使用不同 ...
- Java中 单例模式(singleton)
Java Singleton模式主要作用是保证在Java应用程序中,一个类Class只有一个实例存在. 使用Singleton的好处还在于可以节省内存,因为它限制了实例的个数,有利于Java垃圾回收( ...
- Objective-C中的单例模式
单例模式算是设计模式中比较简单的一种吧,设计模式不是只针对某种编程语言,在C++, Java, PHP等其他OOP语言也有设计模式,笔者初接触设计模式是通过<漫谈设计模式>了解 ...
随机推荐
- Delphi中文本文件的操作
Delphi中文本文件的操作 相关知识内容: 在对文本文件进行任何处理之前,首先要打开此文本文件.声明变量:通过此变量可以来引用一个文本文件. 打开一个文件需要两步:首先是 AssignFile(), ...
- 在WebView中如何让JS与Java安全地互相调用
在现在安卓应用原生开发中,为了追求开发的效率以及移植的便利性,使用WebView作为业务内容展示与交互的主要载体是个不错的折中方案.那么在这种Hybrid(混合式) App中,难免就会遇到页面JS需要 ...
- linux之sed用法【转载】
sed是一个很好的文件处理工具,本身是一个管道命令,主要是以行为单位进行处理,可以将数据行进行替换.删除.新增.选取等特定工作,下面先了解一下sed的用法sed命令行格式为: sed ...
- Exception starting filter struts2 java.lang.NoClassDefFoundError: org/objectweb/asm/ClassVisitor
按教程,使用Convention插件进行配置 教程中说只要加入struts2-convention-plugin-2.3.4.1.jar这个jar包就可以使用. 按照这种方法部署后,启动tomcat报 ...
- 火狐解决 OCSP 回应包含过期信息的问题_firefox吧_百度贴吧
火狐解决 OCSP 回应包含过期信息的问题_firefox吧_百度贴吧 火狐解决 OCSP 回应包含过期信息的问题
- 改变和恢复view的方向
self.navigationController.view.transform = CGAffineTransformMakeRotation(M_PI/2); self.navigationCon ...
- 解决git提交问题error: The requested URL returned error: 403 Forbidden while accessing
git提交代码时,出现这个错误"error: The requested URL returned error: 403 Forbidden while accessing https&qu ...
- JDBC batch批处理Statement executeBatch 具体解释
JDBC提供了数据库batch处理的能力,在数据大批量操作(新增.删除等)的情况下能够大幅度提升系统的性能.我曾经接触的一个项目,在没有採用batch处理时,删除5万条数据大概要半个小时左右,后来对系 ...
- 如何完全退出android应用程序
当一个android应用程序包含多个activity时,要完全退出android应用程序,便要销毁掉所有的activity,下面是一种网上流传的比较经典完美的方法: 首先要定义一个继承Applicat ...
- NYOJ-104最大和
我看了好多博客,都是拿一维的做基础,一维的比较简单,所以要把二维的化成一维的,一维的题目大意:给了一个序列,求那个子序列的和最大,这时候就可以用dp来做,首先dp[i]表示第i个数能构成的最大子序列和 ...