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Скачать или смотреть How to Call gRPC API in a Loop with Proper Asynchronous Handling in Node.js

  • vlogize
  • 2025-05-26
  • 1
How to Call gRPC API in a Loop with Proper Asynchronous Handling in Node.js
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Описание к видео How to Call gRPC API in a Loop with Proper Asynchronous Handling in Node.js

Learn how to effectively call a gRPC API inside a for loop in Node.js to fetch and store large sets of data without running into async issues.
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This video is based on the question https://stackoverflow.com/q/67651961/ asked by the user 'nagaraj' ( https://stackoverflow.com/u/11666255/ ) and on the answer https://stackoverflow.com/a/67652696/ provided by the user 'Ayzrian' ( https://stackoverflow.com/u/10957755/ ) 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: Calling Grpc gateway inside the for loop

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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.

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How to Call gRPC API in a Loop with Proper Asynchronous Handling in Node.js

If you're working with gRPC APIs in Node.js and need to process a large set of data—say, 10,000 entries—you might run into issues related to asynchronous execution, particularly when using a for loop to handle multiple requests. In this guide, we’ll explore a specific problem and provide a clear solution to ensure your API calls are correctly handled and the results are safely stored in your database.

The Problem

Imagine you're using Node.js with the @ grpc/grpc-js package to fetch data about various numbers from a gRPC API. Your goal is to loop through a range of numbers, perform API calls for each one, and store the results in your database. However, as you've discovered, simply using a for loop does not wait for each API call to complete before moving to the next one. This can lead to a situation where the database receives incomplete or improperly managed data.

The core of the issue is that the API calls you make are asynchronous, meaning they won't block the rest of your code from executing. Because of this, if you're not handling the requests properly, you risk overwhelming your application and your database with too many operations happening at once.

The Solution

To tackle this problem, you can use JavaScript's promise-based syntax. By wrapping your gRPC call in a Promise, you can ensure that your program waits for the result of the API call before proceeding to the next iteration of the loop. Below is a revised version of your original function that implements this solution.

Step-by-Step Method

Here’s how to modify your original function to properly handle asynchronous behavior:

Wrap the API Call: Use a Promise to encapsulate the gRPC call so that you can control the flow of your application properly.

Use await: This ensures that the code waits for the completion of the current gRPC call before moving to the next iteration.

Here’s the updated implementation:

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

Breakdown of the Code

Promise Creation: Each time you call GetNumberDetails, you create a new Promise. If the call fails, you use reject(err) to handle the error gracefully. If successful, the response is resolved.

Asynchronous Control: By awaiting the Promise, you ensure that the next number isn't processed until you receive a response and handle it.

Database Insertion: After retrieving the response, you also use await to ensure that the number details are fully stored in your database before moving on.

Final Thoughts

Using the approach outlined above, you can effectively handle asynchronous API calls within a loop and ensure that each request completes before the next one begins. This will help you maintain the integrity of the data stored in your database, especially when dealing with large sets of entries like those in our example.

By adopting these practices, you'll find that your Node.js applications can manage API calls more efficiently, resulting in more responsive and reliable software solutions.

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