如下图所示。我想在服务器开发中也这么弄,比如现在我做的,当我1版本做好以后,让客户端访问:www.myapp.com/1
然后我又在svn新建一个版本叫做2.等到2好了以后,结果又让客户端变成www.myapp.com/2.这样的话服务器升级一次,客户端就要变一次,以前用户安装的老客户端数据就无法兼容了。
请问我能不能如下图的SAE一样,比如我将默认版本设为2.那么访问myweb.sinaapp.com的时候,实际上访问的就是2.myweb.sinaapp.com,改为1的话就是1.myweb.sinaapp.com。
我现在的服务器位置假设是www.myapp.com,后台只需要像sae设置一下,假设设置为2。这样客户端访问www.myapp.com的时候实际上就是访问的www.myapp.com/2。
我该如何实现。不知道直接使用URL跳转起不起作用。或者使用反向代理么?
我不是说使用SVN管理版本,而是说怎么跳到默认版本上面去
回复内容:
如下图所示。我想在服务器开发中也这么弄,比如现在我做的,当我1版本做好以后,让客户端访问:www.myapp.com/1
然后我又在svn新建一个版本叫做2.等到2好了以后,结果又让客户端变成www.myapp.com/2.这样的话服务器升级一次,客户端就要变一次,以前用户安装的老客户端数据就无法兼容了。
请问我能不能如下图的SAE一样,比如我将默认版本设为2.那么访问myweb.sinaapp.com的时候,实际上访问的就是2.myweb.sinaapp.com,改为1的话就是1.myweb.sinaapp.com。
我现在的服务器位置假设是www.myapp.com,后台只需要像sae设置一下,假设设置为2。这样客户端访问www.myapp.com的时候实际上就是访问的www.myapp.com/2。
我该如何实现。不知道直接使用URL跳转起不起作用。或者使用反向代理么?
我不是说使用SVN管理版本,而是说怎么跳到默认版本上面去
设置二级目录绑定试试?
每开一个新版本,拖到子目录去
这是Nginx的
set $subdomain ''; if ( $host ~* "(?:(\w+\.){0,})(\b(?!www\b)\w+)\.\b(?!(com|org|gov|net|cn)\b)\w+\.[a-zA-Z]+" ) { set $subdomain "/$2"; } root /home/wwwroot/ixiqin.com/web$subdomain;

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP remains important in the modernization process because it supports a large number of websites and applications and adapts to development needs through frameworks. 1.PHP7 improves performance and introduces new features. 2. Modern frameworks such as Laravel, Symfony and CodeIgniter simplify development and improve code quality. 3. Performance optimization and best practices further improve application efficiency.

PHPhassignificantlyimpactedwebdevelopmentandextendsbeyondit.1)ItpowersmajorplatformslikeWordPressandexcelsindatabaseinteractions.2)PHP'sadaptabilityallowsittoscaleforlargeapplicationsusingframeworkslikeLaravel.3)Beyondweb,PHPisusedincommand-linescrip

PHP type prompts to improve code quality and readability. 1) Scalar type tips: Since PHP7.0, basic data types are allowed to be specified in function parameters, such as int, float, etc. 2) Return type prompt: Ensure the consistency of the function return value type. 3) Union type prompt: Since PHP8.0, multiple types are allowed to be specified in function parameters or return values. 4) Nullable type prompt: Allows to include null values and handle functions that may return null values.

In PHP, use the clone keyword to create a copy of the object and customize the cloning behavior through the \_\_clone magic method. 1. Use the clone keyword to make a shallow copy, cloning the object's properties but not the object's properties. 2. The \_\_clone method can deeply copy nested objects to avoid shallow copying problems. 3. Pay attention to avoid circular references and performance problems in cloning, and optimize cloning operations to improve efficiency.

PHP is suitable for web development and content management systems, and Python is suitable for data science, machine learning and automation scripts. 1.PHP performs well in building fast and scalable websites and applications and is commonly used in CMS such as WordPress. 2. Python has performed outstandingly in the fields of data science and machine learning, with rich libraries such as NumPy and TensorFlow.


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