Python running out of memory parsing XML using cElementTree.iterparse

问题

A simplified version of my XML parsing function is here:

import xml.etree.cElementTree as ET

def analyze(xml):
    it = ET.iterparse(file(xml))
    count = 0

    for (ev, el) in it:
        count += 1

    print('count: {0}'.format(count))

This causes Python to run out of memory, which doesn't make a whole lot of sense. The only thing I am actually storing is the count, an integer. Why is it doing this:

See that sudden drop in memory and CPU usage at the end? That's Python crashing spectacularly. At least it gives me a MemoryError (depending on what else I am doing in the loop, it gives me more random errors, like an IndexError) and a stack trace instead of a segfault. But why is it crashing?

回答1:

The documentation does tell you "Parses an XML section into an element tree [my emphasis] incrementally" but doesn't cover how to avoid retaining uninteresting elements (which may be all of them). That is covered by this article by the effbot.

I strongly recommend that anybody using .iterparse() should read this article by Liza Daly. It covers both lxml and [c]ElementTree.

Previous coverage on SO:

Using Python Iterparse For Large XML Files
Can Python xml ElementTree parse a very large xml file?
What is the fastest way to parse large XML docs in Python?

回答2:

Code example:

import xml.etree.cElementTree as etree

def getelements(filename_or_file, tag):
    context = iter(etree.iterparse(filename_or_file, events=('start', 'end')))
    _, root = next(context) # get root element
    for event, elem in context:
        if event == 'end' and elem.tag == tag:
            yield elem
            root.clear() # preserve memory

来源：https://stackoverflow.com/questions/7697710/python-running-out-of-memory-parsing-xml-using-celementtree-iterparse

标签

python

memory-management

memory-leaks

elementtree