Answer by Stefan for Using Python Iterparse For Large XML Files
In my experience, iterparse with or without element.clear (see F. Lundh and L. Daly) cannot always cope with very large XML files: It goes well for some time, suddenly the memory consumption goes...
View ArticleAnswer by user9387863 for Using Python Iterparse For Large XML Files
The only problem with the root.clear() method is it returns NoneTypes. This means you can't, for instance, edit what data you parse with string methods like replace() or title(). That said, this is a...
View ArticleAnswer by Ash Upadhyay for Using Python Iterparse For Large XML Files
Note that iterparse still builds a tree, just like parse, but you can safely rearrange or remove parts of the tree while parsing. For example, to parse large files, you can get rid of elements as soon...
View ArticleAnswer by Steven for Using Python Iterparse For Large XML Files
iterparse() lets you do stuff while building the tree, that means that unless you remove what you don't need anymore, you'll still end up with the whole tree in the end.For more information: read this...
View ArticleAnswer by unutbu for Using Python Iterparse For Large XML Files
Try Liza Daly's fast_iter. After processing an element, elem, it calls elem.clear() to remove descendants and also removes preceding siblings.def fast_iter(context, func, *args, **kwargs):"""...
View ArticleAnswer by Elazar Leibovich for Using Python Iterparse For Large XML Files
Why won't you use the "callback" approach of sax?
View ArticleUsing Python Iterparse For Large XML Files
I need to write a parser in Python that can process some extremely large files ( > 2 GB ) on a computer without much memory (only 2 GB). I wanted to use iterparse in lxml to do it.My file is of the...
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