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A step-by-step guide on improving React Query implementation for conditional API calls, reducing redundancy, and enhancing performance. --- This video is based on the question https://stackoverflow.com/q/74474750/ asked by the user 'user3568611' ( https://stackoverflow.com/u/3568611/ ) and on the answer https://stackoverflow.com/a/74494520/ provided by the user 'TkDodo' ( https://stackoverflow.com/u/8405310/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions. Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to improve this react-query multiple queries conditionally called code Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l... The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license. If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com. --- How to Optimize React Query for Conditional API Calls with Minimal Code In modern web development, efficiently fetching and managing data is crucial for creating smooth user experiences. One of the popular tools for handling server state in React is React Query. However, as you build more complex applications, you may encounter challenges like redundant code and unnecessary complexity. This post addresses a common scenario where multiple API calls are conditionally executed based on URL parameters from a router. The Problem Scenario Imagine you have a React component that needs to fetch data based on various conditions determined by parameters from the router. For instance, depending on whether the source is from an "API" or "intern," you'll trigger different API calls. Here’s an example of how this might look in your initial implementation: [[See Video to Reveal this Text or Code Snippet]] While the code above works correctly, it becomes quite verbose and repetitive, leading to confusion and maintenance challenges. So, how can we streamline this process and optimize our implementation? A More Efficient Solution Instead of having separate states for each query, we can combine the logic into a single query that conditionally adjusts the API call based on the passed parameters. Here’s how you can achieve that: Step 1: Use a Dynamic Query Key Using the query key to incorporate the dynamic parameters (like language and difficulty) allows React Query to automatically run the fetch function when these parameters change. In your code, a single query can be defined which conditionally fetches the required data. Step 2: Refactor to a Single Use Query Call Replace your multiple query calls with one that adjusts based on the URL parameters. Here’s an example of how to implement this: [[See Video to Reveal this Text or Code Snippet]] Step 3: Handling Different Scenarios With this setup, you can streamline the logic in your useEffect to only monitor the data, isLoading, and isError from a single object instead of monitoring multiple states: [[See Video to Reveal this Text or Code Snippet]] Conclusion By consolidating your React Query calls, you reduce redundancy and make your codebase more manageable. This approach not only simplifies your API handling but also enhances performance by leveraging the dynamic capabilities of React Query. Benefits of This Approach: Less Boilerplate: Reduces the amount of repetitive code. Improved Readability: Easier to understand and maintain. Automatic Updates: Queries automatically run when dependencies change, ensuring fresh data. With these changes, you’ll find your React application is not only more efficient but also cleaner and easier to understand. If you have further questions on optimizing your React Query workflows, feel free to reach out!