Common Loading State Reducer with Redux Toolkit

Описание: Learn how to implement a `common loading state reducer` in your React application using Redux Toolkit. This guide provides a step-by-step approach to managing loading and error states effectively.
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Managing Loading State in Redux Toolkit

In the world of React applications, managing loading states efficiently is crucial, especially when making asynchronous API calls. If you're utilizing Redux Toolkit along with createAsyncThunk for your API requests, you might run into a scenario where you want a centralized way to track loading states, errors, and success across different operations in your app. In this guide, we will explore how to create a common loading state reducer and implement it effectively in your application.

The Challenge

You may have encountered the following situation:

You are making multiple asynchronous API calls using createAsyncThunk.

Each request can have its own loading state and errors, but maintaining this state across multiple slices can get cumbersome.

You prefer a cleaner approach instead of dispatching separate actions within each asynchronous function, which can lead to code that's harder to manage and may feel counterproductive.

The goal is to harness the power of Redux Toolkit to create a dedicated reducer that tracks loading and error states while allowing your application to maintain a single loader component for visual feedback.

Solution Overview

To achieve a centralized management of loading and error states, we can create a shared reducer matcher function that can handle different action types. Below, we will break down the implementation into distinct steps:

Step 1: Create Shared Reducer Handler Functions

First, we will create functions that can handle the loading and error states based on the action types returned by our async functions.

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Step 2: Integrate the Shared Handlers in Your Slice

Now that we have our loading and error handler functions, we can integrate them into a specific slice of the Redux store. For example:

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Step 3: Testing the Implementation

With the common loading state reducer in place, you can now trigger your loader component based on the isLoading state in the Redux store. This centralized handling gives you a consistent approach to manage loading and error states across various asynchronous operations.

Step 4: Utilizing the Loader in Your Application

By placing the <Loader /> component in your root application component, you can make it react to the global loading state easily:

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Conclusion

Using Redux Toolkit's capabilities to create shared state management across multiple slices can significantly simplify your application's architecture. By following the outlined approach, integrating shared loader and error handling, you'll maintain cleaner and more manageable code. This way, any API call can seamlessly provide feedback to users while loading data without needing to write redundant logic across various modules.

In summary, this strategy allows you to maintain a clean and efficient codebase while providing a centralized and understandable mechanism for managing loading states globally in your application.