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Discover the best methods to merge data from two different APIs and display it in a single React Table. Learn how to handle pagination and filters for optimized performance.
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How to Efficiently Join Data from Two APIs in a React Table using Javascript

If you are developing a React application that requires data from two different APIs, you may encounter challenges, especially when dealing with pagination and data mismatches. The primary question here is: What is the best way to combine data from two API sources into one React table?

In this guide, we'll explore how to efficiently join data using React, while also implementing necessary filters when the two APIs provide different data. By the end, you will have a clear understanding of how to present unified data effectively in your React components.

Understanding the Problem

When working with two API data sources, several factors come into play:

Pagination: Both APIs support pagination, meaning the data is divided into chunks that need to be fetched in batches.

Mismatched Data: One API may return less data than the other, which complicates the direct mapping based solely on IDs.

Performance: You want the table to display aggregated data efficiently without overwhelming your application’s performance.

To overcome these challenges, we'll use a best-practice approach in React programming.

The Solution

Let’s walk through the solution to join data from two APIs and populate a single table effectively.

Step 1: Setting Up State Management

Start by defining a state in your React component to hold the combined table data:

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Step 2: Fetching Data from the APIs

You need to create a function to fetch data from both APIs. Make sure to update the data when the relevant ID changes:

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Step 3: Implementing the Fetch Logic

Create an asynchronous function to fetch data from both APIs. You can use fetch or any other data-fetching library:

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Step 4: Structuring the Data

Next, use lodash’s keyBy function to map the data from both APIs by their IDs. This will help you in combining the data later on:

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Step 5: Combining the Data

With both datasets mapped, you can combine them into a single array. Here, you'll merge the objects based on their ID, allowing for any missing data to simply be undefined:

[[See Video to Reveal this Text or Code Snippet]]

Step 6: Rendering the Table

Finally, render the combined data within a table. Make sure to create a function to handle each row’s rendering:

[[See Video to Reveal this Text or Code Snippet]]

Then, encapsulate your table rendering logic:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

In conclusion, while joining data from multiple APIs can seem daunting, using a structured approach with state management, asynchronous fetching, and data mapping makes it manageable. By following the steps outlined above, you can effectively display combined data in a React table, even when faced with challenges like pagination and mismatched IDs.

For further improvement, consider optimizing your data-fetching strategies based on the requirements of your application and user experience.

By applying these practices, your React application can present users with comprehensive data, enhancing the overall interactivity and usability.