Efficient Data Fetching and Cache Management with RTK Query: A Comprehensive Guide
Managing state and data fetching in React can be challenging. Redux Toolkit Query (RTK Query) simplifies this process. In this post, we'll explore the useGetTodosQuery
hook and its options, including polling and tagTypes
.
Key Points for Using Options
- pollingInterval: Use when you need to keep data updated at regular intervals.
- refetchOnMountOrArgChange: Use when you need to refetch data upon component mount or when query arguments change.
- refetchOnReconnect: Use when you want data to refresh after regaining network connectivity.
- refetchOnFocus: Use when you need data to refresh when the browser window regains focus.
- skip: Use to conditionally skip a query.
- tagTypes: Use for more efficient data fetching and cache management.
What is Redux Toolkit Query?
RTK Query is a data fetching and caching tool built on top of Redux Toolkit. It helps manage API requests, caching, and state synchronization with your Redux store.
Setting Up RTK Query
Step 1: Install Redux Toolkit
npm install @reduxjs/toolkit react-redux
Step 2: Create an API Slice
Create an apiSlice.js
file:
import { createApi, fetchBaseQuery } from '@reduxjs/toolkit/query/react';
export const apiSlice = createApi({
reducerPath: 'api',
baseQuery: fetchBaseQuery({ baseUrl: '/api' }),
tagTypes: ['Todo'],
endpoints: (builder) => ({
getTodos: builder.query({
query: () => 'todos',
providesTags: ['Todo'],
}),
updateTodo: builder.mutation({
query: (todo) => ({
url: `todos/${todo.id}`,
method: 'PUT',
body: todo,
}),
invalidatesTags: ['Todo'],
}),
}),
});
export const { useGetTodosQuery, useUpdateTodoMutation } = apiSlice;
Step 3: Configure the Store
import { configureStore } from '@reduxjs/toolkit';
import { apiSlice } from './apiSlice';
const store = configureStore({
reducer: {
[apiSlice.reducerPath]: apiSlice.reducer,
},
middleware: (getDefaultMiddleware) =>
getDefaultMiddleware().concat(apiSlice.middleware),
});
export default store;
Step 4: Provide the Store
import React from 'react';
import ReactDOM from 'react-dom';
import { Provider } from 'react-redux';
import store from './store';
import App from './App';
ReactDOM.render(
<Provider store={store}>
<App />
</Provider>,
document.getElementById('root')
);
Using useGetTodosQuery
with Options
Efficient Data Fetching with tagTypes
Using pollingInterval
can lead to unnecessary API calls, especially when data doesn't change frequently. A more efficient approach is to use tagTypes
and invalidating tags to refetch data only when necessary. This approach ensures the UI stays in sync without constant polling.
Example Usage
Here’s how to use useGetTodosQuery
and useUpdateTodoMutation
in a React component:
import React from 'react';
import { useGetTodosQuery, useUpdateTodoMutation } from './apiSlice';
const TodoList = () => {
const { data: todos, isLoading, isError } = useGetTodosQuery();
const [updateTodo] = useUpdateTodoMutation();
const handleUpdate = async (todo) => {
await updateTodo({ ...todo, completed: !todo.completed });
};
if (isLoading) return <div>Loading...</div>;
if (isError) return <div>Error loading todos</div>;
return (
<ul>
{todos.map((todo) => (
<li key={todo.id}>
{todo.title}
<button onClick={() => handleUpdate(todo)}>
{todo.completed ? 'Mark Incomplete' : 'Mark Complete'}
</button>
</li>
))}
</ul>
);
};
export default TodoList;
Complete Example with Options
Here’s a complete example using useGetTodosQuery
with various options:
import React from 'react';
import { useGetTodosQuery } from './apiSlice';
const TodoList = () => {
const { data: todos, isLoading, isError } = useGetTodosQuery(undefined, {
refetchOnMountOrArgChange: true,
refetchOnReconnect: true,
refetchOnFocus: true,
skip: false,
});
if (isLoading) return <div>Loading...</div>;
if (isError) return <div>Error loading todos</div>;
return (
<ul>
{todos.map((todo) => (
<li key={todo.id}>{todo.title}</li>
))}
</ul>
);
};
export default TodoList;
Polling Intervals vs. Tag Types
When to Use Polling Intervals
Polling intervals are useful when data changes frequently and needs to be updated in real-time. For example:
- Live sports scores
- Stock market data
- Real-time chat messages
When to Use tagTypes
tagTypes
are better suited for scenarios where data changes infrequently or when you want to minimize API calls. For example:
- User profile information
- Product details in an e-commerce app
- Todo lists where updates are user-driven
Using tagTypes
with invalidation tags ensures data is refetched only when necessary, reducing unnecessary network traffic and improving performance.
Conclusion
RTK Query makes data fetching in React applications simple and efficient. While polling is useful for frequently updated data, using tagTypes
and invalidating tags is a better approach for efficient data fetching and cache management. This method ensures your UI stays up-to-date without unnecessary API calls. Happy coding!
Top comments (2)
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