![]() In this article, I tried to give you all the information at hand that you need to solve the "JavaScript Heap Out Of Memory" error. I found this an interesting way of handling the problem, but I haven't encountered yet a use-case myself where this was necessary. As soon as a worker detects that it is running out of memory, the master will kill the process and use another worker to handle the main logic. In this approach, we'd have one master process and multiple workers. This article explains how to spawn new processes once they run out of memory. Let's say you are running your program on a machine that has very limited memory, like on a Raspberry Pi, for example. Spawn processes and restart them once they run out of memory Then open chrome://inspect in Chrome and click on Open dedicated DevTools for Node.Ī new debugging window will open, which automatically connects to your Node.js application. If your application keeps running out of memory while trying to import those big sets of data, an alternative solution is to split the data into smaller chunks. For example, you wrote an importer that takes data from a CSV file, sanitizes it, and finally adds it to your database (this is also known as ETL: Extract - Transform - Load). There are cases where you need to process large sets of data. Split data processing into smaller chunks Here are three alternative solutions to reduce memory consumption that I've used or come across at some point. In any case, you might want to get to the root of the issue and find out what caused it in the first place. ![]() Other times though, you may not have more memory available on your system, or the increased limit only fixes the problem temporarily. ![]() Increasing the memory limit is a quick fix to the problem, which in some cases is enough. Const array = while ( true ) How to prevent Node.js from running out of memory ![]()
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