Hi Antonio,
Note: for now I am fine, I managed to build it using gcc 4.9 toolchain.
Need to see how far I get with captnproto now ..
if you are interested in capnproto, you might want to try capnpy: it's
written in pure python and it has been designed to be super fast on pypy
(and it's very fast on CPython as well):
https://github.com/antocuni/capnpy
http://capnpy.readthedocs.io/en/latest/
Fantastic!!
Actually, if this is true (performance), this would be wonderful - I can
spare my nerves (hello C++, you are a moooonster!), and eat my cake ..
The benchmarks
http://capnpy.readthedocs.io/en/latest/benchmarks.html
for scalar attribute access look awesome (close to mere instance access).
Structured value access (lists/dict): bigger difference. I am also
concerned about GC pressure - is it still "zero copy"?
Note: I am purely interested in performance on PyPy ..
In general: I thought it would be a good idea to use capnproto C++
generator, and then cppyy to get the best performance (on pypy). Given
there is "antocuni/capnpy", do you think this is a pointless endeavour?
--
Anyways, thanks so much for that hint - I will try it. (I will try the
other hints given to me by Ryan and Wim too, since I already consumed
their time, and maybe there is some gain/insight)
Cheers,
/Tobias
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