ThinkPHP学习笔记(六)实例化模型的四种方法
本文是基于ThinkPHP学习笔记(五)进行修改的,如果有同学使用本代码,请先阅读ThinkPHP学习笔记(五)
创建Action类
<?phpclass NewObjectAction extends Action{ public function index(){ //1.创建一个基础模型// //一:实例化一个系统的数据库操作类// //new Model('User')相当于M('User'),在Model中放置一个需要操作的表// //1命名:// // thinkphp默认的有表名前缀,如果为think_user;则在Model中可以使用User或者user来获取// // 如果是think_user_message;则使用Model('UserMessage');大写表示对于的表名前面加上一个_// $User=new Model('User');// //调用查询方法// $list=$User->select();// dump($list); // //二:跨模型操作;实例化一个表,同时实例化一个自己写的数据库操作类 //多用于将一些公共的业务逻辑抽离出来形成公共的Model// //M('user','CommonModel')相当于new CommonModel('user');model是自动载入的//// $user=M('user','CommonModel');// $user=new CommonModel('user');// $list=$user->select();// dump($list);// $user->modelTest(); //三:实例化一个用户定义的模型 //多用于不需要更加复杂的业务 //1.手动创建一个模型,针对user表创建一个自定义模型,可以封装thinkphp提供的功能 //$user=new UserModel()相当于D('user'); //D方法如果模型不存在,则抛出异常,只会实例一个,默认,只支持调用当前应用下面的模型// $user=new UserModel();// $list=$user->select();// dump($list);// $user->modelTest(); //四、实例化一个空模型;就是传统sql语句的方式;需要加表前缀 // $user=new Model(); $list=$user->query('select * from tb_user'); dump($list); //分组:D('admin.user'); }}?>
两个模型:
<?php class CommonModel extends Model{ function modelTest(){ echo '测试的跨模型操作,调用模型中的方法'; } }?>
<?php class UserModel extends Model{ function modelTest(){ echo '测试的跨模型操作,调用模型中的方法'; } }?>

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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