Possible extensions to OUString class
mst at libreoffice.org
Thu Jan 31 10:00:46 UTC 2019
On 31.01.19 08:04, Matteo Casalin wrote:
> Hi Stephan,
> On 1/30/19 10:40 PM, Stephan Bergmann wrote:
>> On 30/01/2019 22:17, Matteo Casalin wrote:
>>> I'm working on improving code that calls getToken (e.g. using
>>> its version with index, or using other OUString functions in its
>>> place when possible).
>>> One thing that I noticed is that there are a lot of calls in the form
>>> getToken().toInt# which require memory management just to obtain a
>>> value that could be generated by the original OUString. Similarly
>>> (but less frequently), some tokens are extracted just to compare them
>>> against a string, which again requires memory management that is
>>> really not needed.
>>> I was wondering if extending O(U)String with functions like:
>>> * getTokenAs[U]Int#(token, sep, index)
>>> * matchToken(token, sep, index, string)
>>> would be accepted/appreciated or not. At the moment I already
>>> submitted to gerrit a patch  which adds
>>> comphelper::string::matchToken but I think that adding such
>>> functionality to OUString directly would be nicer. Also, introducing
>>> getTokenAsInt in OUString would likely allow to reuse its toInt code.
>> Sounds a bit too special-purpose to be worth adding, IMO. Would those
>> optimizations really make a measurable difference?
> I don't have real numbers to provide, but a very rough check on getToken
> provides the following numbers:
> git grep -w getToken > getToken.txt
> grep -wc getToken getToken.txt ==> 1646
> grep -wc toInt32 getToken.txt ==> 218
> grep -wc toInt64 getToken.txt ==> 8
> grep -wc toUInt32 getToken.txt ==> 0
> grep -wc toUInt64 getToken.txt ==> 8
> The number of getToken occurrences is higher that real
> OUString::getToken calls (comments, header files, definitions and also
> not OUString getToken), and I am missing places in which conversion to
> integer is done in a following line. As a result we have that this
> pattern is > 14.2% of all getToken occurrences. I cannot say if this is
> frequently called code or not.
this is rather meaningless data, it could be that all of these calls are
in UI code where performance is so irrelevant that it might as well be
implemented in Python and the user couldn't tell the difference.
before you start micro-optimising things all over the place, please
first get a callgrind profile of some actual usage scenario (file
import/export maybe) where the function you want to optimise actually
shows up on the profile; then you can be confident that you're actually
making an improvement.
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