Cache Lifetime

Cache Lifetime Overview

Cache Lifetime 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 cache lifetime 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.

Cache Lifetime Example

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

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

Redux Cheatsheet

Quick Redux Toolkit reference related to cache lifetime.

How Cache Lifetime Works in Redux

Cache Lifetime 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 Cache Lifetime

In modern apps, cache lifetime 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

• Copying cache lifetime commands or snippets without understanding what each part does.
• Skipping edge cases and error handling when using cache lifetime.
• Not verifying the result of cache lifetime before moving on.
• Over-complicating cache lifetime before you actually need the extra flexibility.

Key Takeaways

• Cache Lifetime is a core part of working effectively with Redux.
• Start small and keep cache lifetime focused on a single goal.
• Apply consistent patterns so cache lifetime scales across your project.
• Practise and document cache lifetime to keep your workflow maintainable.