v8/tools/process-heap-prof.py
mikhail.naganov@gmail.com ec526df16f Heap profiling: add logging of heap memory stats (capacity, used) under 'log-gc' flag.
Also changed time reporting to system time to be able to get synchronized with other memory (e.g. DOM) size status.

Review URL: http://codereview.chromium.org/155764

git-svn-id: http://v8.googlecode.com/svn/branches/bleeding_edge@2509 ce2b1a6d-e550-0410-aec6-3dcde31c8c00
2009-07-20 09:38:44 +00:00

74 lines
2.9 KiB
Python
Executable File

#!/usr/bin/env python
#
# Copyright 2009 the V8 project authors. All rights reserved.
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above
# copyright notice, this list of conditions and the following
# disclaimer in the documentation and/or other materials provided
# with the distribution.
# * Neither the name of Google Inc. nor the names of its
# contributors may be used to endorse or promote products derived
# from this software without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
# This is an utility for converting V8 heap logs into .hp files that can
# be further processed using 'hp2ps' tool (bundled with GHC and Valgrind)
# to produce heap usage histograms.
# Sample usage:
# $ ./shell --log-gc script.js
# $ tools/process-heap-prof.py v8.log | hp2ps -c > script-heap-graph.ps
# ('-c' enables color, see hp2ps manual page for more options)
import csv, sys, time
def process_logfile(filename):
first_call_time = None
sample_time = 0.0
sampling = False
try:
logfile = open(filename, 'rb')
try:
logreader = csv.reader(logfile)
print('JOB "v8"')
print('DATE "%s"' % time.asctime(time.localtime()))
print('SAMPLE_UNIT "seconds"')
print('VALUE_UNIT "bytes"')
for row in logreader:
if row[0] == 'heap-sample-begin' and row[1] == 'Heap':
sample_time = float(row[3])/1000.0
if first_call_time == None:
first_call_time = sample_time
sample_time -= first_call_time
print('BEGIN_SAMPLE %.2f' % sample_time)
sampling = True
elif row[0] == 'heap-sample-end' and row[1] == 'Heap':
print('END_SAMPLE %.2f' % sample_time)
sampling = False
elif row[0] == 'heap-sample-item' and sampling:
print('%s %d' % (row[1], int(row[3])))
finally:
logfile.close()
except:
sys.exit('can\'t open %s' % filename)
process_logfile(sys.argv[1])