Nico Langholz

🧐 Here’s a quick list of what’s new in TypeScript 5.5! - Inferred Type Predicates - Control Flow Narrowing for Constant Indexed Accesses - Type Imports in JSDoc - Regular Expression Syntax Checking - Support for New ECMAScript Set Methods - Isolated Declarations - The ${configDir} Template Variable for Configuration Files - Consulting package.json Dependencies for Declaration File Generation - Editor and Watch-Mode Reliability Improvements - Performance and Size Optimizations - Easier API Consumption from ECMAScript Modules - The transpileDeclaration API Notable Behavioral ChangesDisabling Features Deprecated in TypeScript 5.0: - lib.d.ts Changes - Respecting File Extensions and package.json in Other Module Modes - Stricter Parsing for Decorators - undefined is No Longer a Definable Type Name - Simplified Reference Directive Declaration Emit Hey Guys ✅ Follow us for more news, 🤗 let's grow together! #js #jsmd #typescript #news #jsnews

ORM (Object-Relational Mapping) Choose to use an ORM, like Sequelize, Django ORM, Hibernate, or Entity Framework if: You Need Rapid Development: ORM allows you to generate database code more efficiently. Your Data Is Structured and Relational: Perfect for applications with clearly defined data models. You Prefer to Focus on Business Logic: ORM handles database queries, letting you focus on the application. You’re Looking for Easy Maintenance: Updating data models is simpler, facilitating maintenance. You Want Database Portability: It makes switching between different database systems without altering the application code easier. Ideal for: Business applications, inventory management, customer relationship management (CRM) systems, fast web applications. No ORM (Pure SQL or Direct Queries) Opt for not using an ORM and prefer pure SQL or direct queries if: You Require Total Control and Optimization: Direct database access allows for specific optimizations. Your Queries Are Highly Complex and Customized: Ideal when ORM abstractions limit your query capabilities. Performance Is Critical: In high-volume applications where every millisecond of latency counts. You Have an Experienced SQL Team: Who can handle complexities and optimize data access directly. You Need Maximum Flexibility in Data Handling: Especially in systems with non-traditional or highly dynamic data structures. Perfect for: High-load systems like online games, financial applications, big data analysis, high-performance platforms. In summary, choose an ORM if you’re looking for rapid development, easy maintenance, and portability between databases. Opt for pure SQL if you need total control, query optimization, and are working on high-performance projects with complex or dynamic data. The choice depends on your project’s needs, team skills, and performance goals. Source link

Node.js 22 is here! New updates include: ▪️ Experimental support for “require()” for synchronous ECMAScript graphs ▪️ Default implementation of the browser-based WebSocket client ▪️ Watch Mode is now stable https://lnkd.in/eCXnZ5hR

In this article, we’ll explore how to leverage the power of child processes and worker threads to overcome the single-threaded limitation of Node.js, optimizing your applications for performance. Whether you’re battling with heavy computations or managing numerous I/O operations, this article will provide you with practical insights and code examples to master concurrency in Node.js. Let’s get started! As a JavaScript runtime, Node.js is single-threaded by nature. This means that by default, all your JavaScript code in a Node.js application runs in a single sequence or thread. While this model simplifies many aspects of coding — for example, you don’t need to worry about complex synchronization issues common in multi-threaded environments — it also means that your application can process only one operation at a time. This is generally not an issue for I/O bound work, like network requests or file system tasks, because Node.js uses a non-blocking I/O handling system and can offload these operations, allowing the single thread to do other work while waiting for the I/O operation to complete. However, for CPU-bound tasks — those involving heavy computation — the single-threaded nature can become a bottleneck. This is where techniques like asynchronous programming, worker threads, and child processes come into play, allowing for more efficient utilization of system resources and enhanced application performance. While worker threads and child processes are alike in function — offering ways to handle tasks in parallel to the main execution thread — their applications vary significantly. Imagine a chocolate factory, the entire factory is a process with a building, machinery, raw materials, and workers. In computer terms, a process has its own memory space and resources allocated by the operating system. Within this factory, there are several assembly lines, each managed by a worker. These assembly lines are like threads, operating within the process (the factory) and sharing their resources (like raw materials and machinery); each thread (assembly line) can also work independently of the others. Now, suppose the factory decides to make a new type of chocolate that requires a completely different set of machinery and raw materials. It might make sense to set up a new factory for this purpose. This new factory is like a child process. It’s a completely separate process with dedicated resources, but it was spawned by the original process (the parent factory). In computer science, threads and processes are fundamental units of execution. Using worker threads and spawning child processes can help speed up your code, but they also add complexity and can introduce new classes of bugs, so they should be used judiciously. In Node.js, the child_process and the worker_threads modules are used to spawn child processes and create worker threads respectively. Let’s consider how these modules work. child_process The