Share the preliminary use of ChatGPT (laravel and go examples)
Initial use of ChatGPT
Who am I?
您是一个使用者,但我不知道您的具体身份。
Write a laravel file upload example
The following is a file upload example using the Laravel framework:
1. Create a form , which contains a file selector:
<form action="{{ route('upload') }}" method="post" enctype="multipart/form-data"> @csrf <input type="file" name="file"> <button type="submit">上传文件</button> </form>
2. Handle file uploads in the controller:
public function upload(Request $request) { $file = $request->file('file'); $path = $file->store('public/uploads'); return back()->with('success', '文件已成功上传!'); }
3. Define routes in routes/web.php:
Route::post('/upload', [MyController::class, 'upload'])->name('upload');
This is a basic file upload example. You can do more after uploading, such as verifying file type or size, saving file metadata, and more.
laravel Queue Usage Example
The following are examples of using queues in the Laravel framework:
1. Add tasks to the queue in the controller:
use Illuminate\Support\Facades\Queue; public function addToQueue(Request $request) { $data = ['message' => 'Hello, this is a demo message!']; Queue::push(new DemoJob($data)); return back()->with('success', '任务已成功添加到队列!'); }
2. Create a queue task:
use Illuminate\Bus\Queueable; use Illuminate\Contracts\Queue\ShouldQueue; use Illuminate\Foundation\Bus\Dispatchable; use Illuminate\Queue\InteractsWithQueue; use Illuminate\Queue\SerializesModels; class DemoJob implements ShouldQueue { use Dispatchable, InteractsWithQueue, Queueable, SerializesModels; protected $data; public function __construct($data) { $this->data = $data; } public function handle() { Log::info('DemoJob', $this->data); } }
This is just a simple example of a queue. You can use Laravel's queuing system to process large, time-consuming tasks asynchronously to improve the performance of your application.
How to start the queue in laravel
The method to start the queue in the Laravel framework is as follows:
1. Use the Artisan command line tool to start the queue listener:
php artisan queue:listen
2. Use Supervisor to manage the queue listener process:
[program:laravel-worker] process_name=%(program_name)s_%(process_num)02d command=php /path/to/your/laravel/installation/artisan queue:work --sleep=3 --tries=3 autostart=true autorestart=true user=www-data numprocs=8 redirect_stderr=true stdout_logfile=/path/to/your/laravel/installation/worker.log
Note: You need to install and configure Supervisor before you can use this method to start the queue.
Both methods can be used to start the queue in a production environment, but the second method is recommended because it can automatically restart failed tasks.
laravel orm usage examples
The following are examples of using ORM in the Laravel framework:
1. Define the model:
namespace App; use Illuminate\Database\Eloquent\Model; class User extends Model { protected $table = 'users'; protected $fillable = ['name', 'email', 'password']; }
2. Add data:
$user = new User(); $user->name = 'John Doe'; $user->email = 'johndoe@example.com'; $user->password = bcrypt('password'); $user->save();
3. Query data:
$users = User::all(); foreach ($users as $user) { echo $user->name . '<br>'; } $user = User::find(1); echo $user->name; $user = User::where('name', 'John Doe')->first(); echo $user->email;
4. Update data:
$user = User::find(1); $user->name = 'Jane Doe'; $user->save();
5. Delete data:
$user = User::find(1); $user->delete();
This is just A simple example of an ORM. The ORM system of the Laravel framework has powerful features, supports various relationships (such as one-to-many, many-to-many, etc.) and can easily interact with the database.
Examples of database usage in go
The following are examples of database usage in Go language:
1. Import the database driver package:
import ( "database/sql" _ "github.com/go-sql-driver/mysql" )
2. Open database connection:
db, err := sql.Open("mysql", "user:password@tcp(host:port)/database") if err != nil { panic(err) } defer db.Close()
3. Add data:
stmt, err := db.Prepare("INSERT INTO users(name, email) VALUES(?, ?)") if err != nil { panic(err) } defer stmt.Close() res, err := stmt.Exec("John Doe", "johndoe@example.com") if err != nil { panic(err) } id, err := res.LastInsertId() if err != nil { panic(err) } fmt.Println("Last insert ID:", id)
4. Query data:
rows, err := db.Query("SELECT * FROM users") if err != nil { panic(err) } defer rows.Close() for rows.Next() { var id int var name string var email string if err := rows.Scan(&id, &name, &email); err != nil { panic(err) } fmt.Println(id, name, email) } if err := rows.Err(); err != nil { panic(err) }
5. Update data:
stmt, err := db.Prepare("UPDATE users SET name=? WHERE id=?") if err != nil { panic(err) } defer stmt.Close() res, err := stmt.Exec("Jane Doe", 1) if err != nil { panic(err) } affected, err := res.RowsAffected() if err != nil { panic(err) } fmt.Println("Rows affected:", affected)
6. Delete data:
stmt, err := db.Prepare("DELETE FROM users WHERE id=?") if err != nil { panic(err) } defer stmt.Close() res, err := stmt.Exec(1) if err != nil { panic(err) } affected, err := res.RowsAffected() if err != nil { panic(err) } fmt.Println("Rows affected:", affected)
This is just using Go language
Recommended learning: "laravel video tutorial"
The above is the detailed content of Share the preliminary use of ChatGPT (laravel and go examples). For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics



Which libraries in Go are developed by large companies or well-known open source projects? When programming in Go, developers often encounter some common needs, ...

Efficiently handle concurrency security issues in multi-process log writing. Multiple processes write the same log file at the same time. How to ensure concurrency is safe and efficient? This is a...

Go language performs well in building efficient and scalable systems. Its advantages include: 1. High performance: compiled into machine code, fast running speed; 2. Concurrent programming: simplify multitasking through goroutines and channels; 3. Simplicity: concise syntax, reducing learning and maintenance costs; 4. Cross-platform: supports cross-platform compilation, easy deployment.

LaravelEloquent Model Retrieval: Easily obtaining database data EloquentORM provides a concise and easy-to-understand way to operate the database. This article will introduce various Eloquent model search techniques in detail to help you obtain data from the database efficiently. 1. Get all records. Use the all() method to get all records in the database table: useApp\Models\Post;$posts=Post::all(); This will return a collection. You can access data using foreach loop or other collection methods: foreach($postsas$post){echo$post->

Efficiently process 7 million records and create interactive maps with geospatial technology. This article explores how to efficiently process over 7 million records using Laravel and MySQL and convert them into interactive map visualizations. Initial challenge project requirements: Extract valuable insights using 7 million records in MySQL database. Many people first consider programming languages, but ignore the database itself: Can it meet the needs? Is data migration or structural adjustment required? Can MySQL withstand such a large data load? Preliminary analysis: Key filters and properties need to be identified. After analysis, it was found that only a few attributes were related to the solution. We verified the feasibility of the filter and set some restrictions to optimize the search. Map search based on city

How does Laravel play a role in backend logic? It simplifies and enhances backend development through routing systems, EloquentORM, authentication and authorization, event and listeners, and performance optimization. 1. The routing system allows the definition of URL structure and request processing logic. 2.EloquentORM simplifies database interaction. 3. The authentication and authorization system is convenient for user management. 4. The event and listener implement loosely coupled code structure. 5. Performance optimization improves application efficiency through caching and queueing.

How to efficiently implement the packaging of WeChat Pay and Alipay Payment in the Laravel framework? During the development process, especially when it comes to the development of payment systems,...

Using CSSFlexbox to implement responsive layout When designing web pages, adaptability of different screen sizes is often necessary. This time we discuss how to use CSS...
