本文详细讲述了ThinkPHP关于session的各种操作方法,详情如下:
ThinkPHP操作session官方的说明文档如下:
start 启动session
pause 暂停session
clear 清除session
destroy 销毁session
get 获取session值
getLocal 获取私有session值
set 设置session值
setLocal 设置私有session值
name 获取或者设置session_name
is_set 是否设置session值
is_setLocal 是否设置私有session值
id 获取或者设置session_id
path 获取或者设置session_save_path
setExpire 设置session过期时 间
setCookieDomain 设置有效域名
setCallback 设置Session 对象反序列化时候的回调函数
最常用的操作方法示例代码如下:
// 检测Session变量是否存在 Session::is_set('name'); // 给Session变 量赋值 Session::set('name','value'); // 获取Session变量 Session::get('name');
和Session相关的配置参数代码如下:
'SESSION_NAME'=>'ThinkID', // 默认Session_name 'SESSION_PATH'=>'', // 采用默认的Session save path 'SESSION_TYPE'=>'File', // 默认Session类型 支持 DB 和 File 'SESSION_EXPIRE'=>'300000', // 默认Session有效期 'SESSION_TABLE'=>'think_session', // 数据库Session方式表名 'SESSION_CALLBACK'=>'', // 反序列化对象的回调方法
其中SESSION_NAME 参数需要注意,如果需要在不同的项目之间不共享传递Session的值,请设置不同的值,否则请保留相同的默认值。
如果设置了相同的SESSION_NAME的值,但是又希望创建基于项目的私有Session空间,应该怎么处理呢?ThinkPHP还支持以项目为 Session空间的私有Session操作,以之前的常用操作为例,我们更改如下:
// 检测Session变量是否存在(当前项目有效) Session::is_setLocal('name'); // 给Session变 量赋值(当前项目有效) Session::setLocal('name','value'); // 获取Session变量(当前 项目有效) Session::getLocal('name');
这样,和全局的Session操作就不会冲突,可以用于一些特殊情况的需要。
ThinkPHP支持数据库方式的Session操作,设置SESSION_TYPE的值为DB就可以了,如果使用数据库方式,还要确保设置好SESSION_TABLE的值,并且导入下面的DDL到你的 数据库(以MySQL为例子):
CREATE TABLE `think_session` ( `id` int(11) unsigned NOT NULL auto_increment, `session_id` varchar(255) NOT NULL, `session_expires` int(11) NOT NULL, `session_data` blob, PRIMARY KEY(`id`) )
注意,Db Session方式的数据库连接会采用项目的数据库配置信息进行连接。除了数据库方式外,还可以增加其它方式的Session保存机制,例如内存方式、 Memcache方式等,我们只要增加相应的过滤器就行了,使用session_set_save_handler 方法,具体的方法定义参考Think.Util.Filter下面的FilterSessionDb.class.php 文件的实现。
制作了一个简单的登陆判断
登陆检测之后赋予Session值,使Session的值为非空即为假的false
$_SESSION[C('USER_AUTH_KEY')] = $logInFind['id'] ;
其中 [C('USER_AUTH_KEY')]为ThinkPHP的内置方法和函数类。在未配置config.php文件时默认为空
把$logInFind['id'] 取出的帐号值赋予它,默认为关闭页面Session就自动删除消失!
其它页面使用下面格式判断
if(!isset($_SESSION[C('USER_AUTH_KEY')])) { //isset 是检测变量是否赋值! $this->redirect('Login','Login'); //转到注册页面 }

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PHP makes it easy to create interactive web content. 1) Dynamically generate content by embedding HTML and display it in real time based on user input or database data. 2) Process form submission and generate dynamic output to ensure that htmlspecialchars is used to prevent XSS. 3) Use MySQL to create a user registration system, and use password_hash and preprocessing statements to enhance security. Mastering these techniques will improve the efficiency of web development.

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PHP is still dynamic and still occupies an important position in the field of modern programming. 1) PHP's simplicity and powerful community support make it widely used in web development; 2) Its flexibility and stability make it outstanding in handling web forms, database operations and file processing; 3) PHP is constantly evolving and optimizing, suitable for beginners and experienced developers.

PHP remains important in modern web development, especially in content management and e-commerce platforms. 1) PHP has a rich ecosystem and strong framework support, such as Laravel and Symfony. 2) Performance optimization can be achieved through OPcache and Nginx. 3) PHP8.0 introduces JIT compiler to improve performance. 4) Cloud-native applications are deployed through Docker and Kubernetes to improve flexibility and scalability.

PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.

PHP and Python each have their own advantages and are suitable for different scenarios. 1.PHP is suitable for web development and provides built-in web servers and rich function libraries. 2. Python is suitable for data science and machine learning, with concise syntax and a powerful standard library. When choosing, it should be decided based on project requirements.

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