👀 Views: 66 💬 Answers: 1 📅 Created: 2025-06-12

java streams memory-management Java

I've been working on this all day and I tried several approaches but none seem to work. I'm upgrading from an older version and Quick question that's been bugging me - I'm working with a `java.lang.OutOfMemoryError` when processing a large collection of objects using streams in Java 17... I have a collection of over a million objects, and I'm trying to filter and map them to create another list. Here's the code snippet I am using: ```java List<MyObject> largeList = // assume this is initialized with over a million objects; List<ProcessedObject> processedList = largeList.stream() .filter(obj -> obj.isValid()) .map(obj -> new ProcessedObject(obj.getValue())) .collect(Collectors.toList()); ``` The `MyObject` class has quite a few fields, and I'm concerned that the memory usage is skyrocketing, leading to the `OutOfMemoryError`. I've tried increasing the heap size using the `-Xmx` flag, but it doesn't seem to help. I've also considered using parallel streams, but I read that they can cause their own issues with high memory consumption as well. Would switching to using a traditional for-loop to process the collection be more memory-efficient? Are there best practices for avoiding `OutOfMemoryError` in such scenarios? Any suggestions on how to handle large data sets more effectively in this context? Thank you! I'm working on a application that needs to handle this. How would you solve this? Any suggestions would be helpful. Any ideas what could be causing this? I'm working with Java in a Docker container on Ubuntu 20.04. I'd really appreciate any guidance on this. I'm using Java 3.11 in this project. Any ideas how to fix this?