Kaboom 🔥! Supercharge Your React App: Saving Refetches with React Query Magic

Greetings, wonderful folks of the internet! 🌟 Today, we embark on a journey to explore a real-life application that not only saves precious API costs but also leverages the magic of optimistic updates in React Query. Now, you might be wondering, "How exactly do we achieve this feat?" Well, buckle up, because we're about to dive into some captivating insights.

In my pursuit of knowledge and inspiration, I stumbled upon a gem of a resource that fueled the spark for this blog. The blog post titled Effective React Query Keys caught my attention, particularly for its articulate explanation of caching. The way it demystifies the intricacies of caching is simply awe-inspiring.

Unveiling the Optimistic Updates Marvel
The Challenge: API Costs 📉
API costs can be a significant concern in any application. Fetching data from the server incurs expenses, and optimizing this process becomes paramount. This is where React Query and optimistic updates come into play, offering a strategic approach to minimize API costs while enhancing the user experience.

The Solution: Optimistic Updates in React Query 🚀
Optimistic updates allow us to update the UI optimistically, even before the server responds. This not only provides users with a seamless and responsive interface but also reduces the need for unnecessary API calls. The real question becomes, "How do we integrate this into our React Query workflow?"

Just have a look at the below code for a while and we will start tinkering the same in a couple of blog lines ahead.

import { useMutation, useQueryClient } from "@tanstack/react-query";
import { deleteEditFunction } from "../api";

const useDeleteEditCall = (userId) => {
  const queryClient = useQueryClient();

  return useMutation(
    (userId) => deleteEditFunction(userId),
    {
      onSuccess: () => {  
        queryClient.setQueryData(["get-previous-key"], (previousdata) => {
          const filterData = previousdata.data.body.filter((user) => {
            return user.userId !== userId;
          });
          previousdata.data.body = filterData;
          return previousdata;
        });
      },
      onError: (error) => {
        console.log(error);
      },
    }
  );
};

export default useDeleteEditCall;

Note:
In our system, we have implemented a caching key, identified as get-previous-key. This key serves a crucial role in optimizing data retrieval by enabling a caching experience. Here's a breakdown of how it works:

Caching Mechanism: When you initiate a request to fetch data, you include the caching key (get-previous-key) in the query. This key acts as a trigger for the caching mechanism.

Optimizing Data Retrieval: The caching response obtained through the key allows for manipulation of the data based on specific requirements. This manipulation can involve filtering, sorting, or modifying the response without the need for an additional API call.

Example Scenario : Todo List: Let's consider a practical example with a todo list. Assume the initial response contains four todo items. The power of the caching key lies in its ability to selectively modify this response.

Dynamic Data Modification: In the case of the todo response, if there's a need to delete an item from the result set, the caching key facilitates this modification. For instance, if the goal is to remove the last todo item, this can be achieved by manipulating the caching response without triggering a re-fetch.

Efficiency Gains: By utilizing this approach, unnecessary API calls are avoided, leading to improved efficiency. Additionally, it allows for optimistic updates, ensuring a seamless user experience.

Reducing Latency: The caching key contributes to reducing latency as it enables local manipulation of data, eliminating the need for repeated server requests for similar operations.

Customizable Optimization: The caching key provides a customizable way to optimize data handling. Depending on the specific use case, it allows for tailoring the caching response to suit the application's requirements.

In summary, the get-previous-key plays a pivotal role in enhancing the caching experience, providing flexibility in manipulating responses, and ultimately optimizing data retrieval processes in a way that aligns with the needs of the application.

Understanding React Query:
Brief overview of React Query and its key features.
Explanation of how React Query manages and caches API calls.

Setting Up React Query:
Installation and basic configuration of React Query in a React project.
Configuring a global QueryClient to manage API data.

Optimizing GET Requests:
How React Query automatically caches GET requests and eliminates redundant API calls.
Utilizing the useQuery hook for efficient data fetching.
Handling stale and fresh data scenarios.

Integration with DELETE, POST, and PUT Operations:
Introduction to the useMutation hook for managing non-GET operations.
Writing mutations for DELETE, POST, and PUT requests using React Query.
Maintaining data consistency across different API operations.

Saving GET Requests on Non-GET Operations:
Strategies for ensuring that GET requests are saved and optimized when performing DELETE, POST, and PUT operations.
Leveraging the onSuccess callback to update and invalidate cached data.

Handling Errors and Edge Cases:
Implementing error handling with React Query for a seamless user experience.
Addressing edge cases such as partial data updates and rollbacks.

Best Practices and Tips:
Best practices for structuring queries and mutations in complex applications.
Tips for optimizing performance and minimizing unnecessary API calls.

Real-world Examples:
Demonstrations of implementing React Query in real-world scenarios with various API interactions.
Code snippets and practical examples for better understanding.

Conclusion:
Our hero in this quest is the get-previous-key. This key unlocks the door to efficient data manipulation, enabling us to perform optimistic updates with finesse. As we explore its applications, we'll witness how it transforms the landscape of API cost optimization in React Query.

Journeying Together
Join me on this expedition as we decode the intricacies of effective React Query keys, delve into the world of caching, and master the art of optimistic updates. Together, we'll unravel the potential to save costs, enhance performance, and elevate the user experience.

In the spirit of knowledge sharing, let's make our React Query endeavors not just effective but downright spectacular! 🚀✨

Stay tuned for more insights, and don't forget to check out the blog that sparked this exciting exploration! Until then, happy coding! 💻🌈

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