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Скачать или смотреть How to Properly Use Lodash Throttle to Prevent Multiple Fires in JavaScript

  • vlogize
  • 2025-09-09
  • 2
How to Properly Use Lodash Throttle to Prevent Multiple Fires in JavaScript
Lodash throttle firing multiple timesjavascriptreactjslodashthrottling
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Описание к видео How to Properly Use Lodash Throttle to Prevent Multiple Fires in JavaScript

Learn how to effectively use `Lodash throttle` to ensure your functions are only called once during rapid events, avoiding multiple invocations after a delay.
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This video is based on the question https://stackoverflow.com/q/63433057/ asked by the user 'user3808307' ( https://stackoverflow.com/u/3808307/ ) and on the answer https://stackoverflow.com/a/63433252/ provided by the user 'Abeer Varan Dey' ( https://stackoverflow.com/u/1203729/ ) 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: Lodash throttle firing multiple times

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.

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Understanding Lodash Throttle and the Problem of Multiple Calls

When working with JavaScript, especially in a reactive environment like React, managing function calls efficiently is crucial. One common pattern is to throttle specific functions to prevent them from firing too often during high-frequency events — such as incoming WebSocket notifications.

However, if not implemented correctly, you might encounter a frustrating situation where your throttled function fires multiple times instead of once as intended.

The Issue at Hand

In your case, you're using the Lodash throttle method in the following way:

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

Your goal is clear: when you receive multiple notifications in quick succession, you want to ensure that the fetch function is only called once every 10 seconds.

Instead, you observe that the fetch function executes 10 times after the wait period. This behavior arises from how throttling interacts with event triggers, causing multiple calls to queue up when the notifications fire within the throttling window.

Solution: Implementing an Invocation Counter

To tackle this issue, you can implement an invocation counter that ensures your fetch function is executed only once, regardless of how many notifications are received. Below is a structured approach to achieving this:

Step 1: Create a Counter

You'll keep track of how many times the function was supposed to be invoked. A simple counter will help regulate the calls.

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

Step 2: Modify Your Throttled Function

Next, update your throttled fetch function to check the counter before calling the actual fetch. Here’s a modified version of your function:

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

Step 3: Resetting the Counter

It’s essential to reset the counter after a certain action. You could reset it after the data has been fetched successfully or based on a timeout that reflects your application's logic.

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

Conclusion

By implementing a simple invocation counter, you can effectively handle the firing of your throttled function in JavaScript. This solution not only addresses the issue of multiple calls but also provides a way to manage asynchronous operations efficiently, particularly when dealing with events such as WebSocket notifications.

Implement these changes, and you'll find that your fetch function now behaves as intended, executing only once during rapid notifications and maintaining optimal performance in your application.

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