RTK Query Caching

RTK Query Caching Overview

At its core, rtk query caching is about doing one thing well in Redux. Once you understand the pattern, you can apply it consistently across projects and teams.

Good rtk query caching pays off across the whole project: fewer surprises, easier collaboration, and smoother onboarding. The snippet below is a solid starting point.

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 Caching Example

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

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

Redux Cheatsheet

Quick Redux Toolkit reference related to rtk query caching.

How RTK Query Caching Works in Redux

RTK Query Caching 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 Caching

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

Common Mistakes

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

Key Takeaways

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