XML parsing - ElementTree vs SAX and DOM
ElementTree is much easier to use, because it represents an XML tree (basically) as a structure of lists, and attributes are represented as dictionaries.
ElementTree needs much less memory for XML trees than DOM (and thus is faster), and the parsing overhead via iterparse
is comparable to SAX. Additionally, iterparse
returns partial structures, and you can keep memory usage constant during parsing by discarding the structures as soon as you process them.
ElementTree, as in Python 2.5, has only a small feature set compared to full-blown XML libraries, but it's enough for many applications. If you need a validating parser or complete XPath support, lxml is the way to go. For a long time, it used to be quite unstable, but I haven't had any problems with it since 2.1.
ElementTree deviates from DOM, where nodes have access to their parent and siblings. Handling actual documents rather than data stores is also a bit cumbersome, because text nodes aren't treated as actual nodes. In the XML snippet
<a>This is <b>a</b> test</a>
The string test
will be the so-called tail
of element b
.
In general, I recommend ElementTree as the default for all XML processing with Python, and DOM or SAX as the solutions for specific problems.
ElementTree has more pythonic API. It also is in the standard library now so using it reduces dependencies.
I actually prefer lxml as it has API like ElementTree, but has also nice additional features and performs well.
Minimal DOM implementation:
Link.
Python supplies a full, W3C-standard implementation of XML DOM (xml.dom) and a minimal one, xml.dom.minidom. This latter one is simpler and smaller than the full implementation. However, from a "parsing perspective", it has all the pros and cons of the standard DOM - i.e. it loads everything in memory.
Considering a basic XML file:
<?xml version="1.0"?>
<catalog>
<book isdn="xxx-1">
<author>A1</author>
<title>T1</title>
</book>
<book isdn="xxx-2">
<author>A2</author>
<title>T2</title>
</book>
</catalog>
A possible Python parser using minidom is:
import os
from xml.dom import minidom
from xml.parsers.expat import ExpatError
#-------- Select the XML file: --------#
#Current file name and directory:
curpath = os.path.dirname( os.path.realpath(__file__) )
filename = os.path.join(curpath, "sample.xml")
#print "Filename: %s" % (filename)
#-------- Parse the XML file: --------#
try:
#Parse the given XML file:
xmldoc = minidom.parse(filepath)
except ExpatError as e:
print "[XML] Error (line %d): %d" % (e.lineno, e.code)
print "[XML] Offset: %d" % (e.offset)
raise e
except IOError as e:
print "[IO] I/O Error %d: %s" % (e.errno, e.strerror)
raise e
else:
catalog = xmldoc.documentElement
books = catalog.getElementsByTagName("book")
for book in books:
print book.getAttribute('isdn')
print book.getElementsByTagName('author')[0].firstChild.data
print book.getElementsByTagName('title')[0].firstChild.data
Note that xml.parsers.expat is a Python interface to the Expat non-validating XML parser (docs.python.org/2/library/pyexpat.html).
The xml.dom package supplies also the exception class DOMException, but it is not supperted in minidom!
The ElementTree XML API:
Link.
ElementTree is much easier to use and it requires less memory than XML DOM. Furthermore, a C implementation is available (xml.etree.cElementTree).
A possible Python parser using ElementTree is:
import os
from xml.etree import cElementTree # C implementation of xml.etree.ElementTree
from xml.parsers.expat import ExpatError # XML formatting errors
#-------- Select the XML file: --------#
#Current file name and directory:
curpath = os.path.dirname( os.path.realpath(__file__) )
filename = os.path.join(curpath, "sample.xml")
#print "Filename: %s" % (filename)
#-------- Parse the XML file: --------#
try:
#Parse the given XML file:
tree = cElementTree.parse(filename)
except ExpatError as e:
print "[XML] Error (line %d): %d" % (e.lineno, e.code)
print "[XML] Offset: %d" % (e.offset)
raise e
except IOError as e:
print "[XML] I/O Error %d: %s" % (e.errno, e.strerror)
raise e
else:
catalogue = tree.getroot()
for book in catalogue:
print book.attrib.get("isdn")
print book.find('author').text
print book.find('title').text