Optimize React Data Fetching with React Query

React Query?? ‎ ‎Fetching data with React is generally a process that involves a lot of code. ‎ ‎You often need to use the “useEffect” hook in combination with “useState” to manage the fetched data. This requires a lot of boilerplate that we have to write in every component in which we want to fetch data. ‎ ‎Become a Medium member ‎React Query can help you cut down on the code you write when making network requests with React. All of this React code that we had to write before can be replaced with the hook “useQuery”. From it we get back all of the data that we need without having to declare a state variable: ‎ ‎However, making data fetching easier only covers a small slice of what React Query does. What makes it a very powerful library is that it caches (saves) requests that we make. So in many cases if we’ve requested data before, we don’t have to make another request, we can just read it from the cache. ‎ ‎This is immensely helpful because it cuts down repetition in our code, reduces the load we put on our API, and helps us manage our overall app state. If you pick any library to start adding to your projects today out of this list, make it React Query. ‎ ‎#reactjs #javascript #useEffect #useQuery #nextjs ‎

React Query?? ‎ ‎Fetching data with React is generally a process that involves a lot of code. ‎ ‎You often need to use the “useEffect” hook in combination with “useState” to manage the fetched data. This requires a lot of boilerplate that we have to write in every component in which we want to fetch data. ‎ ‎Become a Medium member ‎React Query can help you cut down on the code you write when making network requests with React. All of this React code that we had to write before can be replaced with the hook “useQuery”. From it we get back all of the data that we need without having to declare a state variable: ‎ ‎However, making data fetching easier only covers a small slice of what React Query does. What makes it a very powerful library is that it caches (saves) requests that we make. So in many cases if we’ve requested data before, we don’t have to make another request, we can just read it from the cache. ‎ ‎This is immensely helpful because it cuts down repetition in our code, reduces the load we put on our API, and helps us manage our overall app state. If you pick any library to start adding to your projects today out of this list, make it React Query. ‎ ‎#reactjs #javascript #useEffect #useQuery #nextjs ‎

Thanks to Ignacio Casale for ideas on libraries for charts for React. Today I adapted an 'EChart' chart to use in React dashboard, intially fetching data using Tanstack (React) Query instead of the JQuery examples in the documentation (looking at how it will be kept in sync with the database later on in the project). Read around it found some fantastically useful articles. There were wrapper libraries produced for react for it in 2022, I'm curious to know, does anyone have anything more current that is still maintained (and likely to be in future if you have a crystal ball?!) to recommend please? I just wrote my own wrapper after reading around it but it would be really useful to know.

I stopped using useEffect for data fetching. Here's why. For years, my React components looked like this: useEffect(() => { setLoading(true); fetch('/api/users') .then(res => res.json()) .then(data => setUsers(data)) .catch(err => setError(err)) .finally(() => setLoading(false)); }, []); Loading state. Error state. Race conditions. Cleanup functions. Stale closures. Every. Single. Component. Then I switched to React Query (TanStack Query) and deleted 40% of my state management code overnight. Here's what changed: → No more loading/error/data useState triplets → Automatic caching — same data across 10 components, 1 network request → Background refetching — users always see fresh data without spinners → Race condition handling — built in, not bolted on → Retry logic — automatic, configurable, zero custom code But here's what most tutorials won't tell you: React Query doesn't replace ALL useEffect calls. It replaces the ones you should never have written in the first place. useEffect is still perfect for: • Subscriptions (WebSocket, event listeners) • DOM synchronization • Third-party library integration The mistake is using useEffect as a "fetch on mount" hook. That was always a workaround, not a pattern. In my TypeScript projects, I enforce this with a simple ESLint rule: no fetch() inside useEffect. If you're fetching data, use a query hook. Period. The result? Components that are 50% shorter, easier to test, and actually work correctly with React 18+ concurrent features. What's your go-to data fetching approach in React? Still useEffect, or have you moved on? #React #TypeScript #ReactQuery #TanStackQuery #WebDevelopment #JavaScript #DeveloperProductivity #CleanCode

🚀 Exploring React Query: A Game-Changer for Data Fetching! Recently, I’ve been diving into React Query, and it has completely changed how I handle server state in my React applications. Before using React Query, managing API calls meant dealing with a lot of boilerplate—loading states, error handling, caching, and refetching logic. Now, everything feels much cleaner and more efficient. ✨ What I’ve learned so far: 🔹 Simplified Data Fetching – With just a few lines of code, you can fetch, cache, and sync data effortlessly. 🔹 Automatic Caching – No need to manually store and manage API data. 🔹 Background Refetching – Keeps data fresh without interrupting the user experience. 🔹 Built-in Loading & Error States – Makes UI handling much easier. 🔹 DevTools Support – Helps visualize queries and debug effectively. 💡 One thing I really like is how it separates server state from UI state, making the application more scalable and maintainable. As someone growing in frontend development, learning tools like React Query is helping me write cleaner, more professional code. I’m excited to explore more advanced features like mutations, pagination, and query invalidation next! If you’re working with React and APIs, I highly recommend giving React Query a try 🙌 #React #ReactQuery #WebDevelopment #FrontendDevelopment #JavaScript #LearningJourney

I’ve been using Redux for a while, and honestly, I used to think that’s the proper way to handle everything in React. But after working on a few real projects, I started noticing something… Most of the time, I wasn’t managing complex UI state. I was just handling API data. And using Redux for that started to feel a bit too much. Too many files, too much setup, just to fetch and store some data. Recently I started using TanStack Query, and the difference was very noticeable. For the same API call I used to: create actions write reducers dispatch manage loading and error states Now I just use useQuery() and get everything directly. No extra layers. One thing that really made sense to me is this: Not all state should be treated the same. Redux doesn’t really separate things. But in actual apps: UI state is one thing Server data is another thing TanStack Query focuses only on server data, and that’s why it feels much simpler. Another thing I liked is how much it does by default. Caching is automatic. Data stays fresh without writing extra logic. Even refetching happens in the background. Earlier, I was handling all of this manually in Redux without even realizing it. Also, code feels much cleaner now. Before, I had multiple files just to manage state. Now it’s more direct and easier to follow. Less setup, more building. I’m not saying Redux is bad. It’s still useful for complex client-side logic. But for API handling, TanStack Query just feels more practical. If you’re using Redux mainly for fetching data, try switching one small part to TanStack Query and see the difference. That’s exactly what I did. #ReactJS #TanStackQuery #Redux #FrontendDevelopment #WebDevelopment

Fetching data is easy. Handling it like a pro is the hard part. 🔄📡 In the early days of React, we all got used to the "useEffect and Fetch" pattern. But as applications grow, simple fetching isn't enough. Modern users expect zero-latency, instant feedback, and seamless synchronization. Whether I'm using Next.js Server Actions or React Query, these are the 3 principles I follow to manage data like a Senior Developer: 1️⃣ Loading States & Skeletons: Never leave your user staring at a blank screen. I use Suspense and Skeleton Screens to provide immediate visual feedback, making the app feel faster even while the data is still traveling. 2️⃣ Caching & Revalidation: Don't waste your user's data or your server's resources. Implementing smart caching (like stale-while-revalidate) ensures that your UI is updated instantly with "stale" data while the "fresh" data fetches in the background. 3️⃣ Optimistic UI Updates: Why wait for the server to say "Success" before updating a Like button or a Todo item? By using Optimistic Updates, we update the UI immediately and roll back only if the request fails. This creates a "light-speed" user experience. The best apps don't just display data—they manage the flow of data effortlessly. What’s your go-to tool for data fetching in 2026? Are you team React Query, or are you moving everything to Next.js Server Actions? Let’s debate! 👇 #ReactJS #NextJS #WebDev #DataFetching #JavaScript #FrontendArchitecture #CodingTips

🌐 Master Server-State: TanStack React Query vs. Redux 🔍 What is TanStack React Query? TanStack Query (formerly React Query) is a Server-State library. It’s designed specifically to manage asynchronous data—fetching, caching, synchronizing, and updating state that lives on a server. 📡✨ It automates the "boring" parts of development: Automatic Caching: No more manual loading spinners on every click. 🏎️ Background Refetching: Keeps your data fresh while the user stays on the page. 🔄 Error Handling: Built-in retry logic and error states. 🛠️ ⚖️ How is it different from Redux? Redux is for Client-State: It manages data that lives only in your app (like a sidebar being open, a dark mode toggle, or a multi-step form). It is highly predictable but requires lots of "boilerplate" (actions, reducers, thunks). 🧠 TanStack Query is for Server-State: It manages data that comes from an API. It replaces 50 lines of Redux boilerplate with a single, powerful hook. ⚡ 🏥 Real-Life Example: The "Library vs. Personal Notepad" 📚 Imagine you are researching a topic: Redux (Personal Notepad): You write down every single fact yourself. If a fact changes at the source, you have to manually cross it out and rewrite it. If you lose your notepad, you have nothing. 📝 TanStack Query (The Librarian): You ask the librarian for a book. They give it to you immediately if it’s on the shelf (Caching). If it’s old, they go get a new version while you keep reading (Background Update). If the book is missing, they try again automatically (Retries). 👩🏫✅ #ReactJS #TanStackQuery #Redux #WebDevelopment #FrontendArchitecture #JavaScript #StateManagement

I’ve been hitting this problem for years as a backend developer… You know exactly what data you need. But writing the perfect SQL query (or ORM version) takes way longer than it should. So I decided to build something about it. Introducing HumanQuery — an open-source tool I started to make database querying feel… human. Here’s the idea: → Connect your database (PostgreSQL, MySQL, SQL Server, SQLite) → Ask your question in plain English → HumanQuery reads your live schema → Generates read-only SQL for your specific dialect → Runs it and shows results instantly And something I really wanted personally 👇 It also gives you parallel code for: Prisma TypeORM Sequelize SQLAlchemy Django ORM So you can actually see how SQL maps to your ORM instead of guessing. ⚙️ Built with: React + Vite + Fastify + TypeScript Uses your own OpenAI API key / GEMINI API Key for now (I'll include openRouter soon ) 🔐 Security: Connection strings encrypted at rest Metadata stays local (SQLite) ⚠️ Honest note: Queries are executed → use read-only access Schema/prompts go to LLM→ avoid sensitive data This is just the beginning. If you’re someone who works with databases daily, I’d genuinely love your feedback 🙌 ⭐ Star the repo 🐛 Open issues 🔗 https://lnkd.in/gg3nH6V2 Let’s make databases easier for developers. #opensource #buildinpublic #developers #sql #orm #backend #typescript #reactjs #ai

Day 48/100 My MERN Stack Journey Today I learned and practiced Browser Local Storage in React. - Key learnings: Storing data using localStorage.setItem() Retrieving data using localStorage.getItem() Removing specific data with removeItem() Clearing all data using clear() Storing complex data (objects) using JSON.stringify() Converting back using JSON.parse() - Important insight: LocalStorage only stores string data, so we must convert objects into strings before saving and parse them back when retrieving. - Example: Object → JSON.stringify() String → JSON.parse() - This helped me understand how web apps persist data even after refresh github link : https://lnkd.in/gsYFf_Gp #MERNStack #ReactJS #WebDevelopment #JavaScript #100DaysOfCode #FrontendDevelopment #LearningInPublic