RTK Query Code Splitting

Understanding rtk query code splitting helps you use Redux confidently. Here you will learn the core ideas behind rtk query code splitting, see working examples, and pick up best practices used on real teams.

RTK Query Code Splitting Overview

RTK Query Code Splitting is something you will reach for often in Redux. It keeps your workflow predictable and makes your intent obvious to reviewers and teammates.

When you learn rtk query code splitting properly, you avoid the guesswork that leads to mistakes and rework. The example below shows the shape you will use in most real Redux projects.

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

export const api = createApi({
  reducerPath: 'api',
  baseQuery: fetchBaseQuery({ baseUrl: '/api' }),
  endpoints: (builder) => ({
    getUsers: builder.query({ query: () => 'users' }),
    addUser: builder.mutation({
      query: (body) => ({ url: 'users', method: 'POST', body }),
    }),
  }),
});

export const { useGetUsersQuery, useAddUserMutation } = api;

RTK Query handles data fetching, caching, and auto-generated React hooks for you.

RTK Query Code Splitting Example

const slice = createSlice({ name, initialState, reducers });
const store = configureStore({ reducer: { key: slice.reducer } });
// dispatch(slice.actions.something())

Start from a minimal RTK Query Code Splitting example and grow it only as needed.
Keep things explicit so RTK Query Code Splitting behaves the same for everyone on the team.
Name things clearly so teammates understand your RTK Query Code Splitting at a glance.
Verify RTK Query Code Splitting works as expected before relying on it in important work.

Redux Cheatsheet

Quick Redux Toolkit reference related to rtk query code splitting.

Concept	Example	Purpose
Store	`configureStore({ reducer })`	Hold app state
Slice	`createSlice({ name, reducers })`	State + actions together
Read state	`useSelector((s) => s.x)`	Get data in components
Dispatch	`useDispatch()`	Send actions
Async	`createAsyncThunk(...)`	Handle side effects
Data fetching	`createApi(...)`	RTK Query endpoints
Derived data	`createSelector(...)`	Memoized computations

How RTK Query Code Splitting Works in Redux

RTK Query Code Splitting follows Redux's predictable data flow: components dispatch actions, reducers compute the next state from the previous state and the action, and subscribed components re-render.

RTK Query handles data fetching, caching, and auto-generated React hooks for you.

State lives in a single, read-only store.
Actions are the only way to describe a change.
Reducers are pure functions that return the next state.
Redux Toolkit removes most boilerplate with slices and thunks.

Practical Guidance for RTK Query Code Splitting

In modern apps, rtk query code splitting should use Redux Toolkit rather than hand-written Redux. Keep state minimal, colocate logic in slices, and use RTK Query for server data.

Concern	Recommendation
Boilerplate	Use Redux Toolkit (createSlice)
Server data	Prefer RTK Query over manual thunks
Performance	Memoize selectors with createSelector
Types	Use typed useAppSelector/useAppDispatch hooks

Common Mistakes

Skipping edge cases and error handling when using rtk query code splitting.
Not verifying the result of rtk query code splitting before moving on.
Over-complicating rtk query code splitting before you actually need the extra flexibility.
Ignoring documentation, which makes rtk query code splitting hard for the next person to follow.

Key Takeaways

RTK Query Code Splitting is a core part of working effectively with Redux.
Start small and keep rtk query code splitting focused on a single goal.
Apply consistent patterns so rtk query code splitting scales across your project.
Practise and document rtk query code splitting to keep your workflow maintainable.

Pro Tip

Practise rtk query code splitting on a throwaway project first. It is far cheaper to learn Redux mistakes there than on important work.