How to implement guide with parsing large xml documents in python - memoryerror during elementtree processing
I tried several approaches but none seem to work... I'm working with a `MemoryError` when trying to parse large XML files using Python's `xml.etree.ElementTree` module. I'm working on a project that involves processing XML data for a client report, and the XML files can be several hundred megabytes in size. When I attempt to load and parse the document using `ElementTree`, I get this behavior: ``` MemoryError: Unable to allocate memory ``` I've tried incrementally loading the XML using `iterparse`, but I still run into memory issues. Here’s a snippet of what I've attempted: ```python import xml.etree.ElementTree as ET def parse_large_xml(file_path): for event, elem in ET.iterparse(file_path, events=('start', 'end')): if event == 'end' and elem.tag == 'Record': # Assuming 'Record' is a repeating element # Process the element process_record(elem) elem.clear() # Clear the element to free memory ``` Even with `elem.clear()`, I'm still seeing substantial memory usage, and it doesn’t seem to help after processing multiple records. I've also tried running this in a virtual environment with increased memory limits, but the behavior continues. I'm using Python 3.10 and I want to ensure that my XML processing is as efficient as possible. Are there any best practices or alternative libraries that could help with handling large XML files without running into these memory issues? My development environment is Linux. Is there a better approach?