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TanStack Query React Query Data Fetching – Java Full Stack Course in Telugu


However, as applications grow, managing loading states, caching, refetching, error handling, background updates.

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Modern java full stack Course in Telugu applications require efficient, reliable, and scalable data fetching mechanisms. In traditional React applications, developers use useEffect and fetch or axios to call APIs. 

This is where TanStack Query (formerly React Query) becomes powerful. In a Java Full Stack environment where the backend is built using Spring Boot and REST APIs, TanStack Query simplifies frontend data management and improves performance significantly.

In this blog, we will understand TanStack Query concepts, features, and how it integrates with a Java backend in real-world projects.

What is TanStack Query?

TanStack Query is a powerful data-fetching and state management library for React. It focuses specifically on server state management, not client state like Redux or Zustand.

Server state is:

  • Data stored on the backend (database)

  • Fetched via APIs

  • Shared across multiple users

  • Can change outside your app

Examples:

  • Product lists

  • User profiles

  • Orders

  • Dashboard analytics

TanStack Query handles:

  • API calls

  • Caching

  • Background refetching

  • Synchronization

  • Pagination

  • Mutation handling

Why Not Just useEffect?

Traditional approach:

 
useEffect(() => { fetch("/api/products") .then(res => res.json()) .then(data => setProducts(data));}, []);

Problems:

  • No caching

  • No automatic refetch

  • Manual loading/error state management

  • No background updates

  • Difficult to scale

TanStack Query solves all of these with minimal code.

Installation

In a Vite + React + TypeScript project:

 
npm install @tanstack/react-query

Setup QueryClient:

 
import { QueryClient, QueryClientProvider } from '@tanstack/react-query';const queryClient = new QueryClient();<QueryClientProvider client={queryClient}> <App /></QueryClientProvider>

Now your app is ready to use TanStack Query.

Basic Data Fetching with useQuery

Example: Fetching products from Spring Boot backend.

Backend API:

 
GET /api/products

Frontend:

 
import { useQuery } from '@tanstack/react-query';import axios from 'axios';const fetchProducts = async () => { const { data } = await axios.get('/api/products'); return data;};function Products() { const { data, isLoading, error } = useQuery({ queryKey: ['products'], queryFn: fetchProducts, }); if (isLoading) return <p>Loading...</p>; if (error) return <p>Error occurred</p>; return ( <ul> {data.map(product => ( <li key={product.id}>{product.name}</li> ))} </ul> );}

Advantages:

  • Automatic caching

  • Smart re-fetching

  • Background updates

  • Built-in loading and error states

Caching and Automatic Refetching

TanStack Query:

  • Caches data automatically

  • Refetches when window regains focus

  • Refetches when network reconnects

  • Keeps data fresh using staleTime

Example:

 
useQuery({ queryKey: ['products'], queryFn: fetchProducts, staleTime: 1000 * 60 * 5, // 5 minutes});

This improves performance and reduces unnecessary API calls to your Spring Boot backend.

Mutations (POST, PUT, DELETE)

To create or update data, use useMutation.

Example: Adding a new product.

 
import { useMutation, useQueryClient } from '@tanstack/react-query';const queryClient = useQueryClient();const addProduct = async (product) => { return axios.post('/api/products', product);};const mutation = useMutation({ mutationFn: addProduct, onSuccess: () => { queryClient.invalidateQueries(['products']); },});

When mutation succeeds:

  • It invalidates the products query

  • Automatically refetches updated list

This keeps frontend and backend in sync.

Pagination Example

Spring Boot API:

 
GET /api/products?page=0&size=10

Frontend:

 
useQuery({ queryKey: ['products', page], queryFn: () => fetchProducts(page), keepPreviousData: true,});

Benefits:

  • Smooth pagination

  • No UI flicker

  • Efficient caching per page

Optimistic Updates

Optimistic UI improves user experience by updating UI before server confirmation.

Example:

 
useMutation({ mutationFn: updateProduct, onMutate: async (newProduct) => { await queryClient.cancelQueries(['products']); const previous = queryClient.getQueryData(['products']); queryClient.setQueryData(['products'], old => old.map(p => p.id === newProduct.id ? newProduct : p) ); return { previous }; }, onError: (err, newProduct, context) => { queryClient.setQueryData(['products'], context.previous); }, onSettled: () => { queryClient.invalidateQueries(['products']); }});

This makes applications feel fast and responsive.

Real-World Java Full Stack Use Case

Imagine an e-commerce system:

Backend:

  • Spring Boot

  • PostgreSQL

  • JWT Authentication

Frontend:

  • React + TypeScript

  • TanStack Query

Use cases:

  • Fetch product catalog

  • Add to cart

  • Place order

  • Update user profile

  • Admin dashboard analytics

TanStack Query handles:

  • Data synchronization

  • Cache invalidation

  • Automatic refetch

  • Error recovery

This reduces frontend complexity significantly.

DevTools for Debugging

Install DevTools:

 
npm install @tanstack/react-query-devtools

Add:

 
import { ReactQueryDevtools } from '@tanstack/react-query-devtools';<ReactQueryDevtools initialIsOpen={false} />

You can:

  • View cache

  • Monitor queries

  • Inspect refetch behavior

This is very useful during development.

Why TanStack Query is Important for Java Full Stack Developers

In real-time production systems:

  • Backend APIs must scale

  • Frontend must remain fast

  • Network failures must be handled gracefully

  • Data must stay consistent

TanStack Query:

  • Reduces boilerplate

  • Improves performance

  • Enhances UX

  • Simplifies state management

Companies building enterprise applications expect developers to know modern frontend data management tools along with Spring Boot backend.

Conclusion

TanStack Query is a powerful tool for managing server state in React applications. When combined with a Spring Boot backend, it creates a highly scalable and maintainable Java Full Stack architecture.

Instead of manually handling:

  • Loading states

  • Caching logic

  • Background refetching

  • Error recovery

You can rely on TanStack Query’s built-in intelligent mechanisms.

For students learning Java Full Stack in Telugu, understanding TanStack Query gives you a strong advantage in building modern, production-ready applications. It bridges the gap between powerful Spring Boot APIs and efficient React frontend development.

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