CODEWITHSUNDEEP
pythonxmlperformancelarge-filesexpat-parser
bgoncalves
bgoncalves

Reputation: 1687

What is the most efficient way of extracting information from a large number of xml files in python?

I have a directory full (~103, 104) of XML files from which I need to extract the contents of several fields. I've tested different xml parsers, and since I don't need to validate the contents (expensive) I was thinking of simply using xml.parsers.expat (the fastest one) to go through the files, one by one to extract the data.

  1. Is there a more efficient way? (simple text matching doesn't work)
  2. Do I need to issue a new ParserCreate() for each new file (or string) or can I reuse the same one for every file?
  3. Any caveats?

Thanks!

Upvotes: 3

Views: 697

Answers (4)

Torsten Marek
Torsten Marek

Reputation: 86502

Usually, I would suggest using ElementTree's iterparse, or for extra-speed, its counterpart from lxml. Also try to use Processing (comes built-in with 2.6) to parallelize.

The important thing about iterparse is that you get the element (sub-)structures as they are parsed.

import xml.etree.cElementTree as ET
xml_it = ET.iterparse("some.xml")
event, elem = xml_it.next()

event will always be the string "end" in this case, but you can also initialize the parser to also tell you about new elements as they are parsed. You don't have any guarantee that all children elements will have been parsed at that point, but the attributes are there, if you are only interested in that.

Another point is that you can stop reading elements from iterator early, i.e. before the whole document has been processed.

If the files are large (are they?), there is a common idiom to keep memory usage constant just as in a streaming parser.

Upvotes: 4

orip
orip

Reputation: 75427

The quickest way would be to match strings (with, e.g., regular expressions) instead of parsing XML - depending on your XMLs this could actually work.

But the most important thing is this: instead of thinking through several options, just implement them and time them on a small set. This will take roughly the same amount of time, and will give you real numbers do drive you forward.

EDIT:

  • Are the files on a local drive or network drive? Network I/O will kill you here.
  • The problem parallelizes trivially - you can split the work among several computers (or several processes on a multicore computer).

Upvotes: 3

Robert Rossney
Robert Rossney

Reputation: 96722

One thing you didn't indicate is whether or not you're reading the XML into a DOM of some kind. I'm guessing that you're probably not, but on the off chance you are, don't. Use xml.sax instead. Using SAX instead of DOM will get you a significant performance boost.

Upvotes: 1

Martin v. Löwis
Martin v. Löwis

Reputation: 127457

If you know that the XML files are generated using the ever-same algorithm, it might be more efficient to not do any XML parsing at all. E.g. if you know that the data is in lines 3, 4, and 5, you might read through the file line-by-line, and then use regular expressions.

Of course, that approach would fail if the files are not machine-generated, or originate from different generators, or if the generator changes over time. However, I'm optimistic that it would be more efficient.

Whether or not you recycle the parser objects is largely irrelevant. Many more objects will get created, so a single parser object doesn't really count much.

Upvotes: 1

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