session的话,只要我一直请求服务器,session会消失 吗
回复讨论(解决方案)
为什么session会消失?你请求服务器,就会产生sessionid,保存方式为cookie或者内存。
为什么session会消失?你请求服务器,就会产生sessionid,保存方式为cookie或者内存。
我也碰到这个问题,是不是一定要去访问那个session才不会失效,还是说只要访问php页面就不会失效
貌似只要在Session的有效期内访问服务器,就会再次延长有效期吧
晚上我测试下试试。
同一个浏览器进程一直请求服务器,session 不会消失
注意是:
同一个浏览器进程 换个就消失了
一直 或是说不断,当间隔时间超过 php.ini 中的设置时,就有可能消失了
同一个浏览器进程一直请求服务器,session 不会消失
注意是:
同一个浏览器进程 换个就消失了
一直 或是说不断,当间隔时间超过 php.ini 中的设置时,就有可能消失了
请求静态页面没用的啊。必须是php页面吗,是不是php页面还必须写session_start()
关注结果,一起学习
跟上楼上,还没学到这,一起学习。
请求静态页面没用的啊。必须是php页面吗,是不是php页面还必须写session_start()
是的
session 是服务器端脚本提供的功能,你必须显式的启动他
1.关闭浏览器会消失。
2.开着浏览器,但一段时间内没有做请求服务器的操作(超过session超时时间),会消失。
3.如果一直开着浏览器,一直有请求(时间间隔小于超时时间),不会消失。
建议看下session的生存期。

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.

PHP is widely used in e-commerce, content management systems and API development. 1) E-commerce: used for shopping cart function and payment processing. 2) Content management system: used for dynamic content generation and user management. 3) API development: used for RESTful API development and API security. Through performance optimization and best practices, the efficiency and maintainability of PHP applications are improved.

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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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