Hamdi Kahloun’s Post

🔗 Working with GraphQL in Node.js/Express.js 🔗 GraphQL is a powerful query language for APIs that allows clients to request exactly the data they need, making it a popular alternative to REST. It provides flexibility, reduces over-fetching, and enhances performance. 🟢 Why Use GraphQL? ➡️ Precise Data Fetching: Clients request only the data they need. ➡️ Single Endpoint: Simplifies API design by using a single endpoint for all queries. ➡️ Improved Performance: Reduces the amount of data transferred, improving efficiency. 🌍 Real-World Example: Implementing GraphQL in Express.js 1️⃣ Install Necessary Packages: npm install express express-graphql graphql 2️⃣ Set Up Express Application with GraphQL: const express = require('express'); const { graphqlHTTP } = require('express-graphql'); const { buildSchema } = require('graphql'); const app = express(); // Define the GraphQL schema const schema = buildSchema(` type Query { hello: String user(id: Int!): User } type User { id: Int name: String email: String } `); // Define the root resolver const root = { hello: () => 'Hello, world!', user: ({ id }) => ({ id, name: `User ${id}`, email: `user${id}@example.com` }), }; app.use('/graphql', graphqlHTTP({ schema: schema, rootValue: root, graphiql: true, })); app.listen(3000, () => { console.log('Server is running on port 3000'); }); 🌍 Real-Life Use Case: Consider Social Media Platforms like Facebook, which originally developed GraphQL. It allows them to efficiently manage complex data structures and provide a responsive user experience, even as the data requirements evolve. 🟢Key Takeaways: ➡️ Efficient Data Management: Fetch only the data you need, reducing load times. ➡️ Single Endpoint Flexibility: Simplifies your API structure. ➡️ Real-World Applications: Perfect for complex systems with evolving data needs. Implementing GraphQL in your Node.js/Express.js application offers a modern, efficient way to manage and query your data. #Nodejs #Expressjs #GraphQL #WebDevelopment #APIs #DataManagement

Laravel developers, ready to level up your collection manipulation skills? Explore Laravel's toQuery method! 💎 This powerful feature allows you to convert a collection back into a query builder, opening up new possibilities for efficient data operations. #Laravel Want to learn how to leverage this in your Laravel projects? Check out our in-depth guide:

GraphQL vs. React Query: Which is the 🏆 for your frontend? ⚡️ Discover the ultimate showdown between these powerful tools! 🥊 Learn when to use each for optimal performance and data management. #GraphQL #ReactQuery #FrontendDevelopment #WebDevelopment #APIDesign https://lnkd.in/dqGnpteQ

The moose is finally loose! We've released the alpha version of MooseJS - an open source developer framework for the data/analytics stack. Read more about it on our blog here: https://lnkd.in/gx6p4twq We’re still early in our journey and would love to get feedback. If you’re doing any of the following, then Olivia Kane and I would love to talk to you. I promise you, we feel your pain, and we want to hear more about it :)  - Writing any software that’s all about capturing data / generating insights  - Maintaining a data/analytics stack for your organization - Architecting a new application, and figuring out how data/analytics might fit in

🚀 Mastering HTTP Data Transmission in Front-End Development with NestJS 🚀 As a front-end developer, understanding the different ways to transmit data between the client and server is crucial. Here’s a breakdown of the five primary methods: URL Parameters: Parameters embedded directly in the URL. For example, https://lnkd.in/eJRvyGFB. Extract these in NestJS using the @Param decorator. Query Strings: Data passed via the URL’s query string, such as https://lnkd.in/etDj9R6W. Use @Query in NestJS to handle this. Important: Use encodeURIComponent to encode non-ASCII characters. Form-Urlencoded: Commonly used in form submissions, data is encoded and sent in the body of a POST request. Utilize the @Body decorator in NestJS to capture this data. Important: Use encodeURIComponent or libraries like query-string to handle encoding. Form-Data: Ideal for file uploads, this method uses a unique boundary to separate different parts of the data. In NestJS, leverage the FilesInterceptor and @UploadedFiles to handle form-data. Note: Ensure content-type is set to multipart/form-data. JSON: The most common format for transmitting structured data. By setting content-type to application/json, the body can be parsed easily with @Body in NestJS. Tip: This method doesn't require encoding like URL parameters or form-urlencoded data. Key Points to Remember: URL Encoding: Always use encodeURIComponent for non-ASCII characters in URLs. Form-Urlencoded Data: Use encodeURIComponent or libraries like query-string for encoding. Content Types: Ensure proper content-type headers are set for different data transmission methods. JSON: Prefer JSON for most structured data transmissions.

Are you tired of manually juggling JSON data in your Laravel applications? Say hello to Laravel Casts – your ultimate solution for seamless data serialization and deserialization! 💻 In my latest project, I've uncovered the incredible power of Laravel Casts in simplifying data handling tasks. Take, for instance, our `Product` model, where we store additional product details as JSON data. By simply defining `'attributes' => 'array'` in the `$casts` property, Laravel automagically handles serialization and deserialization, allowing us to work with the data as if it were native arrays. <?php namespace App\Models; use Illuminate\Database\Eloquent\Model; class Product extends Model { /** * The attributes that should be cast to native types. * * @var array */ protected $casts = [ 'attributes' => 'array', ]; } Now, let's see it in action: <?php use App\Models\Product; // Create a new product $product = new Product(); $product->name = 'Laravel Casts Example'; $product->attributes = ['color' => 'blue', 'size' => 'medium']; $product->save(); // Retrieve the product $product = Product::find(1); // Access the attributes as an array echo $product->attributes['color']; // Output: blue echo $product->attributes['size']; // Output: medium By harnessing Laravel Casts, I've streamlined data processing workflows, enhanced application performance, and improved code readability. Gone are the days of tedious JSON manipulation – with Laravel Casts, handling complex data structures has never been easier. 🔥 #Laravel #LaravelCasts #DataSerialization #JSON #DeveloperTools #Efficiency

Day 45 of #100DaysofCode 1. Created Booking Schema: I created a `booking` schema to store transaction details related to bookings within my application. Key fields include `_id`, `user`, `tour`, `price`, `createdAt`, `paid`, `paymentId`, `orderId`, and `signature`. 2. Established References to User and Tour Models:  Within the `booking` schema, I set up references (`ref`) to the `user` and `tour` models. This allows me to store IDs of the associated user and tour for each booking. 3. Utilized Mongoose Populate Method: To simplify data retrieval, I used Mongoose's `populate` method. This automatically fetches and populates details of the `user` and `tour` whenever a `find` query is executed on the `booking` model. 4. Implemented Query Middleware for Population: I implemented query middleware in Mongoose to automate the population of `user` and `tour` fields during `find` operations on the `booking` model. This ensures efficient data retrieval and enhances query results. 5. Created Routes and Controllers: I set up dedicated routes and controllers to manage booking-related operations. This includes endpoints for fetching bookings made by authenticated users and retrieving bookings based on booking IDs. 6. Purpose of References and Populating: References in Mongoose schemas optimize data storage and querying by storing IDs instead of embedding entire documents. Populating references ensures seamless retrieval of associated data, improving application performance. These steps outline my approach to data modeling, schema design, and efficient data management using Mongoose within my application. project repo (api) : https://lnkd.in/dgepqG5s project repo (client) : https://lnkd.in/dfbsxb8v #mernstack #nodejs #reactjs #btech #fullstack #mernstackdeveloper #mongoose

Node.js Streams: Efficient Data Handling for Large-Scale Applications Read Here: https://lnkd.in/gBGeZRfN . . #nodejs #nodejsonlinecourse #nodejsonlinetraining #cromacampus

Excited to share this insightful article on GraphQL and its inner workings! 🚀 Whether you're a seasoned developer or just starting out, understanding GraphQL's query language and its ability to efficiently request data from your server is crucial in today's tech landscape. Dive into this comprehensive piece to grasp the fundamentals and unlock its potential for your projects. #GraphQL #WebDevelopment #TechTrends

If you are looking to build rich and robust data visualization apps, check out these essentials Allison Horst, PhD #DataVisualization #DataFam #DataAnalysis