RTK Query: Simplifying Data Fetching in Redux Applications
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RTK Query: Simplifying Data Fetching in Redux Applications

Suyog Nagwade
Software Engineer
Table of Content

Modern web/mobile applications require efficient data management, and for Redux users, fetching and caching data has traditionally involved significant boilerplate code. Enter RTK Query — a powerful data fetching and caching tool that’s part of Redux Toolkit, designed to simplify your API interactions and reduce code complexity.

In this article, we’ll explore how RTK Query compares to traditional Redux data fetching patterns and why making the switch could significantly improve your development workflow.

The Traditional Redux Approach: More Code, More Complexity

Let’s start by examining how we typically handle data fetching in Redux using manual thunks and reducers. Consider a simple scenario: fetching a list of posts and adding new ones.

Setting Up the Store

// store/traditional/posts.ts

import { createSlice, createAsyncThunk } from '@reduxjs/toolkit';

import axios from 'axios';

export const fetchPosts = createAsyncThunk('posts/fetch', async () => {

  const { data } = await axios.get('https://api.example.com/posts');

  return data;

});

export const addPost = createAsyncThunk('posts/add', async (body) => {

  const { data } = await axios.post('https://api.example.com/posts', body);

  return data;

});




const postsSlice = createSlice({

  name: 'posts',

  initialState: { 

    items: [], 

    loading: false, 

    error: null 

  },

  reducers: {},

  extraReducers: (builder) => {

    builder

      .addCase(fetchPosts.pending, (state) => {

        state.loading = true;

        state.error = null;

      })

      .addCase(fetchPosts.fulfilled, (state, action) => {

        state.loading = false;

        state.items = action.payload;

      })

      .addCase(fetchPosts.rejected, (state, action) => {

        state.loading = false;

        state.error = action.error.message ?? 'Error';

      })

      .addCase(addPost.fulfilled, (state, action) => {

        state.items.unshift(action.payload);

      });

  },

});

export default postsSlice.reducer;

Using It in Components

// components/PostsTraditional.tsx

import React, { useEffect, useState } from 'react';

import { useDispatch, useSelector } from 'react-redux';

import { addPost, fetchPosts } from '../store/traditional/posts';

export default function PostsTraditional() {

  const dispatch = useDispatch();

  const { items, loading, error } = useSelector((s) => s.posts);

  const [title, setTitle] = useState('');

  useEffect(() => {

    dispatch(fetchPosts());

  }, [dispatch]);

  const handleAdd = () => dispatch(addPost({ title, body: 'demo', userId: 1 }));

  if (loading) return <p>Loading…</p>;

  if (error) return <p>{error}</p>;

  return (

    <div>

      <button onClick={handleAdd}>Add Post</button>

      {items.map((post) => (

        <div key={post.id}>{post.title}</div>

      ))}

    </div>

  );

}

The Pain Points

This traditional approach comes with several challenges:

  • Excessive Boilerplate: Multiple action creators, reducers, and state management logic for each endpoint
  • No Built-in Caching: Every request hits the server, even for recently fetched data
  • Manual Refetching: After mutations, you must manually trigger data refreshes
  • Loading State Management: Hand-rolled loading and error flags for every request
  • No Request Deduplication: Multiple components requesting the same data create redundant network calls

RTK Query: A Modern Solution

RTK Query revolutionizes data fetching in Redux by providing a powerful, feature-rich API layer with minimal configuration. Let’s see the same functionality implemented with RTK Query.

Defining Your API

// services/api.ts

import { createApi, fetchBaseQuery } from '@reduxjs/toolkit/query/react';

export const api = createApi({

  reducerPath: 'api',

  baseQuery: fetchBaseQuery({ baseUrl: 'https://api.example.com' }),

  tagTypes: ['Posts'],

  endpoints: (builder) => ({

    getPosts: builder.query({

      query: () => '/posts',

      providesTags: ['Posts'],

    }),

    addPost: builder.mutation({

      query: (body) => ({

        url: '/posts',

        method: 'POST',

        body,

      }),

      invalidatesTags: ['Posts'], // Automatic refetch!

    }),

  }),

});

export const { useGetPostsQuery, useAddPostMutation } = api;

Using It in Components

// components/PostsRTKQuery.tsx

import React, { useState } from 'react';

import { useGetPostsQuery, useAddPostMutation } from '../services/api';

export default function PostsRTKQuery() {

  const { data: posts, isLoading, isError, refetch } = useGetPostsQuery();

  const [addPost, { isLoading: isAdding }] = useAddPostMutation();

  const [title, setTitle] = useState('');

  const handleAdd = async () => {

    await addPost({ title, body: 'demo', userId: 1 });

    // List automatically refreshes due to invalidatesTags!

  };

  if (isLoading) return <p>Loading…</p>;

  if (isError) return <p>Error loading posts</p>;

  return (

    <div>

      <button onClick={handleAdd} disabled={isAdding}>

        {isAdding ? 'Adding…' : 'Add Post'}

      </button>

      <button onClick={refetch}>Refresh</button>

      {posts?.map((post) => (

        <div key={post.id}>{post.title}</div>

      ))}

    </div>

  );

}

Build Faster Redux Apps with RTK Query

Key Advantages of RTK Query

1. Drastically Reduced Boilerplate

Compare the code samples above. RTK Query eliminates the need for:

  • Manual action creators
  • Complex reducer logic with multiple case handlers
  • Custom loading and error state management

Everything is generated automatically from your endpoint definitions.

2. Intelligent Caching System

RTK Query includes a sophisticated caching layer that:

  • Stores response data automatically
  • Prevents duplicate requests for the same data
  • Shares cached data across components
  • Provides configurable cache lifetimes

3. Automatic Refetching

The tag-based invalidation system (providesTags / invalidatesTags) ensures your data stays fresh. When a mutation invalidates a tag, all queries providing that tag automatically refetch — no manual dispatching required.

4. Enhanced Developer Experience

RTK Query provides:

  • Generated TypeScript types for all endpoints
  • Rich loading states: isLoading, isFetching, isSuccess, isError
  • Redux DevTools integration for debugging
  • Automatic request deduplication across your app

5. Advanced Features Out of the Box

  • Polling: Automatically refetch data at intervals
  • Conditional queries: Skip queries based on conditions
  • Prefetching: Load data before it’s needed
  • Optimistic updates: Update UI immediately while awaiting server response
  • Retry logic: Configurable retry strategies for failed requests

Making the Switch: Is RTK Query Right for You

RTK Query is ideal for teams that:

✅ Want to reduce boilerplate and maintenance burden
✅ Need robust caching and request deduplication
✅ Require automatic data synchronization after mutations
✅ Value developer experience and type safety
✅ Build applications with multiple API endpoints

coma

Conclusion

While traditional Redux patterns still work, they require considerable manual effort to match what RTK Query provides out of the box. Adopting RTK Query means writing and maintaining far less code across your application. Standardized patterns reduce the chances of bugs and inconsistencies. Built-in caching and data handling also help improve overall performance.

For modern Redux applications with multiple API interactions, RTK Query is more than a convenience. It simplifies how data is fetched, cached, and updated across the app. Generated hooks and strong TypeScript support improve the developer experience. Overall, it saves teams time while making applications more reliable and easier to scale.

Suyog Nagwade

Suyog Nagwade

Software Engineer

Suyog is a React Native developer with 2+ years of experience building iOS and Android apps that perform well in real-world use. He works mainly with JavaScript and TypeScript and cares about keeping the codebase clean and easy to maintain as features are added. He focuses on app structure, performance, and getting the small details right so the app feels smooth and responsive.

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