On Mon, Feb 18, 2013 at 6:20 PM, Eleytherios Stamatogiannakis <est...@gmail.com> wrote: > We have found another (very simple) madIS query where PyPy is around 250x > slower that CPython: > > CPython: 314msec > PyPy: 1min 16sec > > The query if you would like to test it yourself is the following: > > select count(*) from (file 'some_big_text_file.txt' limit 100000); > > To run it you'll need some big text file containing at least 100000 text > lines (we have run above query with a very big XML file). You can also run > above query with a lower limit (the behaviour will be the same) as such: > > select count(*) from (file 'some_big_text_file.txt' limit 10000); > > Be careful for the file to not have a csv, tsv, json, db or gz ending > because a different code path inside the "file" operator will be taken than > the one for simple text files. > > l. > > > _______________________________________________ > pypy-dev mailing list > pypy-dev@python.org > http://mail.python.org/mailman/listinfo/pypy-dev
Hey I would be incredibly convinient if you can change it to be a standalone benchmark (say reading large string from a file and decoding it in a whole or in pieces); _______________________________________________ pypy-dev mailing list pypy-dev@python.org http://mail.python.org/mailman/listinfo/pypy-dev
