Real world comparison with native application & cpython
I wrote a tiny grep with multi-line match support, and compared its speed under pypy 1.7 with grep and CPython 2.7.1 (on ubuntu 11.04 laptop). No special algorithm/implementation is employed; it is bare re module. input: Plone 4.1.2 eggs directory, size 286mb, possible processed input size is about 75mb, processed 3958 files total commands: time mgrp -lcrN '\.py$' for . takes 1.95s time python2.7 /usr/local/bin/mgrp -lcrN '\.py$' for . takes 1.45s time grep -lcr --color=none --include='*.py' for . takes 0.6s Is the input too small to see the benefits of pypy?
2011/11/25 Serhat Sevki Dincer <jfcgauss@gmail.com>:
It would instructive to see the code, but if what you're expecting it to be as fast as grep, think again. It has extremely well-tuned clever algorithms. -- Regards, Benjamin
https://bugs.pypy.org/issue940 On Fri, Nov 25, 2011 at 6:22 PM, Piotr Skamruk <piotr.skamruk@gmail.com> wrote:
Serhat had probably in mind that pypy1.7 is slower than cpython2.7 in this test.
Serhat: add this as bug to bugs.pypy.org
2011/11/25 Serhat Sevki Dincer <jfcgauss@gmail.com>:
It would instructive to see the code, but if what you're expecting it to be as fast as grep, think again. It has extremely well-tuned clever algorithms. -- Regards, Benjamin
https://bugs.pypy.org/issue940 On Fri, Nov 25, 2011 at 6:22 PM, Piotr Skamruk <piotr.skamruk@gmail.com> wrote:
Serhat had probably in mind that pypy1.7 is slower than cpython2.7 in this test.
Serhat: add this as bug to bugs.pypy.org
participants (4)
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Benjamin Peterson -
Piotr Skamruk -
Serhat Sevki Dincer -
Yury Selivanov