#!/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])