Handling Memory Leaks in Long-Running Python 3.11 Applications Using Generators
I've been researching this but I just started working with I have a long-running Python 3.11 application that processes large datasets using generators. Initially, it works fine, but after a few hours, I start experiencing memory bloat, and the application becomes unresponsive. I suspect that there might be a memory leak due to the way I’m managing generator states or possibly holding references longer than necessary. Here’s a simplified version of my generator function: ```python import gc def data_generator(data): for item in data: yield item ``` I’m consuming this generator in a loop: ```python def process_data(data): for item in data_generator(data): # Simulating processing process_item(item) # Manually invoking garbage collection gc.collect() ``` Despite calling `gc.collect()`, the memory usage keeps growing. I've also monitored memory usage with the `tracemalloc` module, and it shows that memory allocations are increasing over time, but I can’t pinpoint where it’s being held. I’ve checked for circular references and other common pitfalls, but everything seems fine. Is there something specific about how Python handles generators and memory that I might be missing? Could the way I'm yielding items be causing these leaks? Are there best practices when working with generators in long-running applications that I should be aware of? Any tips for debugging this would be greatly appreciated! I'd really appreciate any guidance on this. I'd really appreciate any guidance on this. What are your experiences with this?