Out of curiosity, does performance differ with defusedxml in there?

(RDF)XML parser complexity really is unnecessary compared to e.g. N3,
JSONLD, or RDFHDT.

Does performance differ after transforming to a non-XML format?

defusedxml should probably be an install_requires dependency because of the
XML parser vulnerabilities that it patches:
https://pypi.org/project/defusedxml/

On Fri, Jan 7, 2022, 9:58 AM Brendan McMahon <brendan.mcma...@tempus.com>
wrote:

> Hi Nick, thanks for the response! Yes, the idea you mention is what I was
> considering trying next, but I thought I'd ask in here to see if there were
> any other ideas about handling this with what the library has built in. I
> will report back here with what I do if it works out! Also, the file is
> about half a gig. It takes ~25 minutes to parse.
>
> Thanks,
> Brendan
>
> On Friday, January 7, 2022 at 6:38:43 AM UTC-5
> nichol...@surroundaustralia.com wrote:
>
>> Hi Brendan,
>>
>> This is an interesting issue! No I haven't encountered it, but then I
>> never use large RDF/XMl graphs. How large is your graph by the way?
>>
>> If you really think the issue is the getting or testing of elements in
>> the RDF DefinedNamespace, couldn't you just clone rdfxml.py and replace all
>> references to the RDF DefinedNamespace with references to a hard-coded set
>> of URIRefs? You could try using that in place of the current rdfxml.py and
>> see if there is a speedup. the file's only ~600 lines long, so a find 'n
>> replace shouldn't be too impossible.
>>
>> I would love to know how you go with this, if you try it. If it overcomes
>> the problem, we may consider doing such a replacement within internal
>> RDFlib files to improve performance and then providing the
>> DefinedNamespaces for external use only, i.e. when people define RDFlib
>> grapes with g.add() and use FOAF.givenName to represent URIs.
>>
>> Cheers,
>>
>> Nick
>>
>> On Thu, Dec 23, 2021 at 3:32 AM Brendan McMahon <brendan...@tempus.com>
>> wrote:
>>
>>> Dear rdflib contributors and maintainers,
>>>
>>> I have recently been trying to update rdflib to version 6 from 4.2.2.
>>> Upon doing so, a process I normally run, which uses rdflib to load a large
>>> xml RDF file into a graph, has a significantly larger memory profile and
>>> latency (for my large file, parsing is taking about 1.5x as much time).
>>>
>>> I've traced the issue back to the graph.parse method. More specifically,
>>> by profiling the graph.parse with versions 6.1.1 and 4.2.2, I can see that
>>> calls to access members of the RDF class (mostly occurring in the 
>>> node_element_start
>>> method here
>>> <https://github.com/RDFLib/rdflib/blob/master/rdflib/plugins/parsers/rdfxml.py#L299>
>>>  as
>>> well as the property_element_start method) seem to be taking up a
>>> significantly longer time, as they the class is now a DefinedNamespace with
>>> overridden __getitem__ and __contains
>>> <https://github.com/RDFLib/rdflib/blob/2011a6dd85518642e0800b2ee010a5565e16e5cc/rdflib/namespace/__init__.py#L190>
>>> methods with added string checks.
>>>
>>> Has anyone else experienced this issue? I have been trying to find ways
>>> to work around/with the library to lower the latency, but haven't been able
>>> to find anything yet.
>>>
>>> Thanks,
>>> Brendan
>>>
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