/usr/share/pyshared/logsparser/tests/test_norm_chain_speed.py is in python-logsparser 0.4-1.
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 | # -*- python -*-
# pylogsparser - Logs parsers python library
#
# Copyright (C) 2011 Wallix Inc.
#
# This library is free software; you can redistribute it and/or modify it
# under the terms of the GNU Lesser General Public License as published by the
# Free Software Foundation; either version 2.1 of the License, or (at your
# option) any later version.
#
# This library is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
# FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
# details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this library; if not, write to the Free Software Foundation, Inc.,
# 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
import os
import timeit
from logsparser.lognormalizer import LogNormalizer
if __name__ == "__main__":
path = os.environ['NORMALIZERS_PATH']
ln = LogNormalizer(path)
def test():
l = {'raw' : "<29>Jul 18 08:55:35 naruto squid[3245]: 1259844091.407 307 82.238.42.70 TCP_MISS/200 1015 GET http://www.ietf.org/css/ietf.css fbo DIRECT/64.170.98.32 text/css" }
l = ln.uuidify(l)
ln.normalize(l)
print "Testing speed ..."
t = timeit.Timer("test()", "from __main__ import test")
speed = t.timeit(100000)/100000
print "%.2f microseconds per pass, giving a theoretical speed of %i logs/s." % (speed * 1000000, 1 / speed)
print "Testing speed with minimal normalization ..."
ln.set_active_normalizers({'syslog' : True})
ln.reload()
t = timeit.Timer("test()", "from __main__ import test")
speed = t.timeit(100000)/100000
print "%.2f microseconds per pass, giving a theoretical speed of %i logs/s." % (speed * 1000000, 1 / speed)
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