Building a React Data Table with RSuite

So you wanna build a killer data grid in your React app. It's a game changer. Smart React Grid is the way to go - it's got all the essentials, like sorting, filtering, pagination, and editing, all in one neat package. To get this party started, you're gonna need a few things: Node.js version 14.0 or higher, a package manager like npm, yarn, or pnpm, a React project that's at least version 17 or higher, and some basic knowledge of React hooks - we're talking useState, baby! You should also be familiar with JavaScript or TypeScript, or at least willing to learn. Now, let's talk installation - it's pretty straightforward. You can use your preferred package manager to install Smart React Grid: just run npm install smart-webcomponents-react, yarn add smart-webcomponents-react, or pnpm add smart-webcomponents-react, and you're good to go. Then, don't forget to import the CSS styles in your main application file - it's like adding the secret sauce to your favorite recipe. Here's a simple example to get you started: create a data source array with objects, define some columns with labels, data fields, and options, and then use the Grid component with dataSource and columns props. It's like building with Legos - you gotta have the right pieces in place. And, with Smart React Grid, you can enable features like sorting, filtering, and pagination through props - it's like having a superpower. You can also customize the grid with built-in themes and options, which is pretty cool. So, what are some key concepts to keep in mind? Columns are like the table structure - you define them with labels, data fields, and options. The data source is just an array of objects, where each object represents a table row. Features are what make the grid come alive - you can enable sorting, filtering, pagination, and more through props. And, styling is all about customization - you can use built-in themes and options to make the grid your own. For more info, check out the official documentation: https://lnkd.in/gH-y-2Mk And, if you're looking for a community to learn from, you can try: https://lnkd.in/gG5uTsCY #React #DataGrid #SmartReactGrid #Innovation #Creativity #Strategy

So you wanna build a data table in React - it's a great idea. RSuite Table is an awesome option, by the way. It's got all the essentials: sorting, filtering, row selection - the whole shebang. It's simple. You need a few things to get started: Node.js version 14.0 or higher, a package manager like npm or yarn, a React project, and some basic knowledge of React hooks and JavaScript. Done. Now, install RSuite and import the CSS styles in your main app file. Easy peasy. Here's a basic example: you import React and the Table component from RSuite, define your data, and create a table with columns for ID, name, and email. It looks like this: ```javascript import React from 'react'; import { Table } from 'rsuite'; const { Column, HeaderCell, Cell } = Table; function DataTable() { const data = [ { id: 1, name: 'John Doe', email: 'john@example.com' }, { id: 2, name: 'Jane Smith', email: 'jane@example.com' } ]; return ( <Table data={data}> <Column> <HeaderCell>ID</HeaderCell> <Cell dataKey="id" /> </Column> <Column> <HeaderCell>Name</HeaderCell> <Cell dataKey="name" /> </Column> <Column> <HeaderCell>Email</HeaderCell> <Cell dataKey="email" /> </Column> </Table> ); } ``` And that's it - you've got a basic table. Now you can customize it with features like sorting and filtering. Next steps are key. You gotta learn about advanced features, explore pagination, implement custom filters - and don't forget column resizing. It's a process. But trust me, it's worth it. Check out the official docs for more info: https://lnkd.in/gHeqpvKD Source: https://lnkd.in/g5vUTJsn #React #RSuiteTable #DataTable #JavaScript

This single line actually touches many core React + Redux concepts. I’ll break it down slowly, deeply, and practically, the way interviewers love to hear it explained. 🔹 The Code Line const { loading, error, resetPasswordDone } = useSelector( (state) => state.authState ); 🧠 BIG PICTURE (What is happening?) You are reading data from the Redux store and subscribing this component to changes in the authState slice. Whenever authState changes → this component re-renders automatically. 🧩 CONCEPTS INVOLVED (High-level) This line involves 6 core concepts: Redux Store Redux Slice Global State useSelector Hook JavaScript Destructuring React Re-rendering Let’s go step by step 👇 1️⃣ Redux Store (Global State Container) Redux has one central store: store = { authState: { loading: false, error: null, resetPasswordDone: false, user: null, isAuthenticated: false }, productState: {...}, cartState: {...} } 👉 This store lives outside React 👉 Any component can read data from it 2️⃣ authState (Redux Slice) authState is a slice of the Redux store. Created using: createSlice({ name: "auth", initialState: { loading: false, error: null, resetPasswordDone: false, }, }) So this part: state.authState means: “Give me the authentication-related state from the Redux store.” 3️⃣ useSelector Hook (Bridge between React & Redux) useSelector((state) => state.authState) What useSelector does: Reads data from Redux store Subscribes the component to that data Re-renders component when data changes 📌 Think of it as: useState, but for Redux global state How it works internally: Redux store updates useSelector checks if selected data changed If changed → component re-renders ✔ Efficient ✔ Automatic ✔ No manual listeners 4️⃣ Arrow Function (state) => state.authState (state) => state.authState state = entire Redux store You are selecting only the authState slice Equivalent to: const fullStore = state; return fullStore.authState; 5️⃣ JavaScript Destructuring (Very Important) Instead of writing: const authState = useSelector((state) => state.authState); const loading = authState.loading; const error = authState.error; const resetPasswordDone = authState.resetPasswordDone; const { loading, error, resetPasswordDone } = ... ✅ Cleaner ✅ Shorter ✅ Industry standard 6️⃣ What Each Variable Represents 🔄 loading loading === true ➡ API request is in progress Used for: disabled={loading} {loading ? "Updating..." : "Set Password"} ❌ error error === "Token expired" ➡ Backend or network error Used for: toast.error(error); dispatch(clearAuthError()); ✅ resetPasswordDone resetPasswordDone === true ➡ Password reset was successful Used for: navigate("/login"); 🔁 FULL DATA FLOW (Inter User submits form   ↓ dispatch(resetPassword)   ↓ Redux thunk starts   ↓ loading = true   ↓ API call to backend   ↓ SUCCESS   ↓ resetPasswordDone = true   ↓ useSelector detects change   ↓ Component re-renders   ↓ useEffect runs   ↓ Redirect to login

So you wanna build a killer data grid in your React app. It's a great idea - and I'm here to tell you that Smart React Grid is the way to go. This thing is packed with all the essential features you need, like sorting, filtering, pagination, and editing. It's like having a superpower in your coding toolkit. First things first, you gotta make sure you've got the right setup. You'll need Node.js version 14.0 or higher, a package manager like npm, yarn, or pnpm, and a React project that's running version 17 or higher. Oh, and don't forget some basic knowledge of React hooks - specifically useState - and a solid grasp of JavaScript or TypeScript. Easy peasy, right? It's a must. Then you can install Smart React Grid using your preferred package manager - just run one of these commands: npm install smart-webcomponents-react, yarn add smart-webcomponents-react, or pnpm add smart-webcomponents-react. Next up, you'll need to import the CSS styles in your main application file. This is where the magic happens, folks. Now, let's talk about a simple example - create a data source array with objects, define some columns with labels, data fields, and widths, and then use the Grid component with dataSource and columns props. Boom! That's it. You can enable all sorts of features like sorting, filtering, and pagination through props, and even customize the grid with built-in themes and options. It's like playing with Legos, but instead of blocks, you're working with code. Some key concepts to keep in mind: columns are like the table structure, with labels, data fields, and options - think of it like building a house, you need a solid foundation. Then there's the data source, which is just an array of objects where each object represents a table row. Features are where you enable all the cool stuff like sorting and filtering, and styling is where you make it look pretty with built-in themes and customization options. It's pretty cool. For more info, check out the official documentation: https://lnkd.in/gH-y-2Mk Optional learning community: https://lnkd.in/gG5uTsCY #React #DataGrid #SmartReactGrid #Innovation #Creativity #Strategy

React Query: The Connection Pool of Your Frontend Yesterday we talked about database connection pooling. Aaj? Let's talk about React's version of the same problem that nobody tells beginners about. You built a React app. User clicks a button. You fetch data from your API. Simple useEffect with fetch(), right? But here's what actually happens behind the scenes that nobody tells you: Every time your component mounts, it fires a request. User navigates away? Request abhi bhi chal raha hai. User comes back? NEW REQUEST. Same data. Downloaded twice. New developers write code thinking: Component mounts → useEffect fires → fetch('/api/products') → Set state → Done. User goes to another page and comes back? Fetch again. Har component mount pe naya request. It's like subah doodh lene gaye, aaye, phir bhool gaye aur dobara doodh lene chale gaye. Totally unnecessary network overhead. React Query solves this: When your app starts, React Query creates a CACHE. Jab component ko data chahiye: Cache check karo → Data fresh hai? Use karo. Data missing ya stale? API se fetch karo. Cache mein store karo with a timer (say, 5 minutes). Next component ko same data chahiye? Instant. Cache se mil gaya. No API call. User navigates away and back aaya? Cache abhi fresh hai. No refetch. It's like connection pool mein 10 phone lines always connected. Ek uthao, use karo, rakh do. Doosra uthaye, use kare. Lines connected rehti hain. What beginners miss: Without React Query, tumhara app SAME API calls baar baar marta hai. Multiple components? Har ek independently fetch karega. User navigate kare? Sab kuch refetch. Dev mein fast WiFi pe notice nahi hota, but production mein slow networks pe performance mar jati hai. Socho ke : If React Query 5 minutes ke liye cache karta hai aur 3 different components ko same user data chahiye, kya hoga? Without React Query = 3 API calls. With React Query? Ek call, shared cache. Par agar server pe data 10 seconds baad change ho jaye? Users 4:50 minutes tak stale data dekhenge? 🤔 #ReactQuery #ReactJS #JavaScript #WebDevelopment #FrontendDevelopment #SoftwareDevelopment #WebPerformance #DeveloperTips #Programming #TechCommunity

"Stop awaiting your data on the server! In React 19 and Next.js 16+, await is often a performance bottleneck that blocks your Client Component's JS from downloading. The new 'Promise Handoff' pattern with the use() hook is the solution" with react 19, start data fetching on server, use Suspense for handle loading and then pass the promise (returned from data fetching) to the client component, later client component will resolve the promise inside use() hook, also errors will be display by nearest Error Boundary. and use useOptimistic hook if UI need optimistic UI update.  - is possibly one of the best practices that ensures fast initial loading time and FCP (First Contentful Paint) so what it the solution in next js 16+ for this exact benefits?  with next js also we can use Server component in page level, that will start the data fetching on the server and for loading use Suspense explicitly in the server component. because loading.js is used for page level loading not component level loading. keep in mind: (only) don't await data fetch promise/function in the server component. if you do, you will see s a blank white screen (or the previous page) until that await finishes, unless you have a loading.js. Even with loading.js, the Client Component's code doesn't start downloading until the server-side await is done. with both approach, the server starts the network request to the api/db, and immediately sends the HTML  for your Suspense fallback (the spinner) to the browser. The browser sees the HTML, renders the spinner, and starts downloading the Client Component's JavaScript in the meantime if The API/DB responds to the server. The server takes that JSON data and sends that data as a streamed script chunk within the same HTML document. . The use(myPromise) hook in the Client Component is essentially a listener. As soon as that data chunk arrives in the HTML stream, React resolves the promise locally on the client using the data the server just pushed. The Client Component never makes a second fetch() call. It simply "picks up" the data that the server sent through the stream. #React19 #NextJS #WebPerformance #ServerComponents #StreamingSSR #SoftwareArchitecture #FrontendOptimization #Hydration #ZeroLatency #OptimisticUI #JavaScript

🧱 A Proper MERN Stack File Structure (Backend + Frontend) A clean structure today saves hours tomorrow. File structure is not just organization it’s maintainability, scalability, and clarity. Here’s a real-world, production-ready MERN setup 👇 Backend Structure (Node.js + Express + MongoDB) backend/ ├─ src/ │ ├─ config/ │ │ ├─ db.js # MongoDB connection │ │ └─ env.js # environment config │ │ ├─ models/ │ │ └─ user.model.js # Mongoose schemas │ │ ├─ controllers/ │ │ └─ user.controller.js # request logic │ │ ├─ routes/ │ │ └─ user.routes.js # API routes │ │ ├─ middlewares/ │ │ ├─ auth.middleware.js │ │ └─ error.middleware.js │ │ ├─ services/ │ │ └─ user.service.js # business logic │ │ ├─ utils/ │ │ └─ helpers.js │ │ ├─ app.js # express app config │ └─ server.js # server entry point │ ├─ .env # environment variables ├─ .gitignore ├─ package.json 🧠 Why this backend structure works • Routes only handle endpoints • Controllers handle request/response • Services hold business logic • Models manage database structure • Middleware stays reusable and clean • server.js starts the app, app.js configures it 👉 Easy to scale, test, and debug. Frontend Structure (React App) frontend/ ├─ src/ │ ├─ assets/ # images, icons │ ├─ components/ # reusable UI components │ ├─ pages/ # route-level pages │ ├─ hooks/ # custom hooks │ ├─ services/ # API calls (axios) │ ├─ context/ # global state │ ├─ utils/ # helpers │ ├─ styles/ # global styles │ │ ├─ App.jsx │ ├─ main.jsx │ └─ index.css │ ├─ public/ │ └─ index.html │ ├─ package.json 🧠 Why this frontend structure works • Clear separation of UI, logic, and data • Pages stay clean and readable • API logic doesn’t mix with components • Scales smoothly as features grow 🚀 Final Thought A good file structure: • improves collaboration • reduces bugs • makes onboarding easier • keeps projects future-proof Good code is important. Good structure makes good code last. 💬 How do you structure your MERN projects — layer-based or feature-based? #WebDevelopment #FullStackDeveloper #MERNStack #Laravel #JavaScript #ReactJS #NodeJS #PHP #SoftwareEngineering #TechCommunity #CodingLife #DeveloperJourney

Structuring my knowledge about React hooks. React currently has 20+ built-in hooks (including client, server, and special ones like experimental). But in reality, in production we regularly use around 8–12 hooks. The rest are situational — for specific tasks or architectural decisions. In typical development without heavy domain-specific complexity: - 70% of the time — useState, useEffect, useMemo, useCallback - 20% — useRef, useContext, useReducer - 10% — everything else Below is a short cheat sheet of the main hooks. Core Hooks: 1. useState — local component state. Used almost anytime you need to store data. 2. useEffect — side effects (API calls, subscriptions, timers). Runs after render. 3. useContext — access context without prop drilling. Global data: theme, auth, localization. 4. useReducer — complex state logic. Great for forms, state machines, and complex transitions. 5. useRef — stores a mutable value without triggering re-render. DOM access or a “variable outside render”. 6. useMemo — memoizes computed values. Useful for expensive calculations. 7. useCallback — memoizes functions. Prevents unnecessary function recreation and breaking memo. 8. useLayoutEffect — synchronous effect before paint. Rarely needed. Mostly for DOM measurements. 9. useImperativeHandle — custom API via ref. Used with forwardRef. 10. useId — generates stable IDs. Important for SSR and accessibility. React 18+ and Modern Hooks: 11. useTransition — deferred updates without blocking the UI. For heavy renders. 12. useDeferredValue — defers a value. Useful for filtering and search. 13. useSyncExternalStore — subscription to external stores. Foundation for Redux, Zustand, etc. 14. useInsertionEffect — for CSS-in-JS libraries. Not needed in most regular apps. React 19 / Server Hooks: 15. useOptimistic — optimistic UI updates. 16. useFormStatus — form submission status (server actions). 17. useFormState — server-driven form state management. 18. useActionState — manage server actions. 19. use — experimental hook for working with promises and resources in Server Components; the most unusual one and, formally, not quite a hook in the traditional sense. 📌 The takeaway: You should know all of them. You won’t use all of them daily. You must deeply understand the core 8–10.

🧱 A Proper MERN Stack File Structure (Backend + Frontend) A clean structure today saves hours tomorrow. File structure is not just organization; it’s maintainability, scalability, and clarity. Here’s a real-world, production-ready MERN setup 👇 Backend Structure (Node.js + Express + MongoDB) backend/ ├─ src/ │ ├─ config/ │ │ ├─ db.js # MongoDB connection │ │ └─ env.js # environment config │ │ ├─ models/ │ │ └─ user.model.js # Mongoose schemas │ │ ├─ controllers/ │ │ └─ user.controller.js # request logic │ │ ├─ routes/ │ │ └─ user.routes.js # API routes │ │ ├─ middlewares/ │ │ ├─ auth.middleware.js │ │ └─ error.middleware.js │ │ ├─ services/ │ │ └─ user.service.js # business logic │ │ ├─ utils/ │ │ └─ helpers.js │ │ ├─ app.js # express app config │ └─ server.js # server entry point │ ├─ .env # environment variables ├─ .gitignore ├─ package.json 🧠 Why this backend structure works • Routes only handle endpoints • Controllers handle request/response • Services hold business logic • Models manage database structure • Middleware stays reusable and clean • server.js starts the app, app.js configures it 👉 Easy to scale, test, and debug. Frontend Structure (React App) frontend/ ├─ src/ │ ├─ assets/ # images, icons │ ├─ components/ # reusable UI components │ ├─ pages/ # route-level pages │ ├─ hooks/ # custom hooks │ ├─ services/ # API calls (axios) │ ├─ context/ # global state │ ├─ utils/ # helpers │ ├─ styles/ # global styles │ │ ├─ App.jsx │ ├─ main.jsx │ └─ index.css │ ├─ public/ │ └─ index.html │ ├─ package.json 🧠 Why this frontend structure works • Clear separation of UI, logic, and data • Pages stay clean and readable • API logic doesn’t mix with components • Scales smoothly as features grow 🚀 Final Thought A good file structure: • improves collaboration • reduces bugs • makes onboarding easier • keeps projects future-proof Good code is important. Good structure makes good code last. 💬 How do you structure your MERN projects — layer-based or feature-based? #WebDevelopment #FullStackDeveloper #MERNStack #Laravel #JavaScript #ReactJS #NodeJS #PHP #SoftwareEngineering #TechCommunity #CodingLife #DeveloperJourney

Laravel has many hidden gems — Laravel Data is one of them 💎 If you’re still passing raw arrays between controllers, services, and APIs, you’re making life harder than it needs to be. Laravel Data (by Spatie) gives you: - Typed, immutable DTOs - Automatic request → data mapping - Built-in validation - Clean API & resource transformations - Better IDE support and safer refactoring Instead of guessing what’s inside an array, your code becomes explicit, predictable, and self-documenting. It fits perfectly when: - Building APIs - Working with complex request payloads - Sharing data across layers (controllers, actions, jobs) Once you start using Laravel Data, going back to arrays feels like a step backwards. If you care about maintainability and clarity in Laravel projects — this package is worth a look. hashtag #Laravel #PHP #WebDevelopment #CleanCode #APIs #Backend