Dart: Performance implementing StreamSubscription Handling Large Data Sets
I'm trying to debug This might be a silly question, but I've tried everything I can think of but I am currently working with performance optimization when processing large data sets with StreamSubscription in my Dart application. I'm using Dart SDK version 2.17.0 and I have a stream that emits a large number of objects, specifically around 100,000 instances of a custom class `DataItem`. While iterating through the stream, I'm experiencing noticeable lag and occasional memory spikes that lead to runtime exceptions. My stream looks like this: ```dart Stream<DataItem> dataStream() async* { for (int i = 0; i < 100000; i++) { yield DataItem(id: i, value: 'Item $i'); } } ``` I subscribe to the stream as follows: ```dart void main() { final subscription = dataStream().listen((data) { processItem(data); }); } void processItem(DataItem item) { // Simulate processing delay Future.delayed(Duration(milliseconds: 1), () { print('Processed: ${item.value}'); }); } ``` The lag starts becoming noticeable after a few thousand items, and I receive an behavior stating 'Out of Memory'. I've tried batching the processing by accumulating a certain number of items before processing them, but it didn't help much. I've also considered using `await for` with a `Stream` instead of a `listen`, but I'm unsure if that will improve performance. Could anyone provide insights on better handling this scenario or suggest alternative approaches to manage memory more effectively while processing large streams? Any best practices related to this would be greatly appreciated. Has anyone dealt with something similar? Any feedback is welcome!