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annotate mercurial/profiling.py @ 30317:3fd53cc1aad8

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profiling: make statprof the default profiler (BC) The statprof sampling profiler runs with significantly less overhead. Its data is therefore more useful. Furthermore, its default output shows the hotpath by default, which I've found to be way more useful than the default profiler's function time table. There is one behavioral regression with this change worth noting: the statprof profiler currently doesn't profile individual hgweb requests like lsprof does. This is because the current implementation of statprof only profiles the thread that started profiling. The ability for lsprof to profile individual hgweb requests is relatively new and likely not widely used. Furthermore, I have plans to modify statprof to support profiling multiple threads. I expect that change to go through several iterations. I'm submitting this patch first so there is more time to test statprof. Perfect is the enemy of good.
author Gregory Szorc <gregory.szorc@gmail.com>
date Fri, 04 Nov 2016 21:44:25 -0700
parents faf1b8923da2
children 189a1030affb
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1 # profiling.py - profiling functions
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2 #
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3 # Copyright 2016 Gregory Szorc <gregory.szorc@gmail.com>
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4 #
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5 # This software may be used and distributed according to the terms of the
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6 # GNU General Public License version 2 or any later version.
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7
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8 from __future__ import absolute_import, print_function
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9
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10 import contextlib
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11 import os
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12 import sys
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13 import time
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14
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15 from .i18n import _
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16 from . import (
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17 error,
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18 util,
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19 )
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20
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21 @contextlib.contextmanager
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22 def lsprofile(ui, fp):
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23 format = ui.config('profiling', 'format', default='text')
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24 field = ui.config('profiling', 'sort', default='inlinetime')
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25 limit = ui.configint('profiling', 'limit', default=30)
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26 climit = ui.configint('profiling', 'nested', default=0)
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27
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28 if format not in ['text', 'kcachegrind']:
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29 ui.warn(_("unrecognized profiling format '%s'"
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30 " - Ignored\n") % format)
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31 format = 'text'
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32
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33 try:
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34 from . import lsprof
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35 except ImportError:
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36 raise error.Abort(_(
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37 'lsprof not available - install from '
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38 'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/'))
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39 p = lsprof.Profiler()
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40 p.enable(subcalls=True)
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41 try:
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42 yield
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43 finally:
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44 p.disable()
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45
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46 if format == 'kcachegrind':
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47 from . import lsprofcalltree
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48 calltree = lsprofcalltree.KCacheGrind(p)
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49 calltree.output(fp)
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50 else:
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51 # format == 'text'
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52 stats = lsprof.Stats(p.getstats())
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53 stats.sort(field)
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54 stats.pprint(limit=limit, file=fp, climit=climit)
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55
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56 @contextlib.contextmanager
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57 def flameprofile(ui, fp):
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58 try:
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59 from flamegraph import flamegraph
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60 except ImportError:
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61 raise error.Abort(_(
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62 'flamegraph not available - install from '
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63 'https://github.com/evanhempel/python-flamegraph'))
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64 # developer config: profiling.freq
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65 freq = ui.configint('profiling', 'freq', default=1000)
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66 filter_ = None
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67 collapse_recursion = True
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68 thread = flamegraph.ProfileThread(fp, 1.0 / freq,
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69 filter_, collapse_recursion)
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70 start_time = time.clock()
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71 try:
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72 thread.start()
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73 yield
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74 finally:
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75 thread.stop()
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76 thread.join()
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77 print('Collected %d stack frames (%d unique) in %2.2f seconds.' % (
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78 time.clock() - start_time, thread.num_frames(),
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79 thread.num_frames(unique=True)))
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80
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81 @contextlib.contextmanager
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82 def statprofile(ui, fp):
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83 from . import statprof
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84
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85 freq = ui.configint('profiling', 'freq', default=1000)
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86 if freq > 0:
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87 # Cannot reset when profiler is already active. So silently no-op.
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88 if statprof.state.profile_level == 0:
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89 statprof.reset(freq)
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90 else:
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91 ui.warn(_("invalid sampling frequency '%s' - ignoring\n") % freq)
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92
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93 statprof.start(mechanism='thread')
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94
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95 try:
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96 yield
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97 finally:
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98 data = statprof.stop()
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99
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100 profformat = ui.config('profiling', 'statformat', 'hotpath')
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101
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102 formats = {
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103 'byline': statprof.DisplayFormats.ByLine,
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104 'bymethod': statprof.DisplayFormats.ByMethod,
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105 'hotpath': statprof.DisplayFormats.Hotpath,
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106 'json': statprof.DisplayFormats.Json,
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107 }
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108
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109 if profformat in formats:
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110 displayformat = formats[profformat]
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111 else:
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112 ui.warn(_('unknown profiler output format: %s\n') % profformat)
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113 displayformat = statprof.DisplayFormats.Hotpath
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114
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115 statprof.display(fp, data=data, format=displayformat)
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116
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117 @contextlib.contextmanager
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118 def profile(ui):
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119 """Start profiling.
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120
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121 Profiling is active when the context manager is active. When the context
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122 manager exits, profiling results will be written to the configured output.
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123 """
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124 profiler = os.getenv('HGPROF')
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125 if profiler is None:
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126 profiler = ui.config('profiling', 'type', default='stat')
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127 if profiler not in ('ls', 'stat', 'flame'):
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128 ui.warn(_("unrecognized profiler '%s' - ignored\n") % profiler)
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129 profiler = 'stat'
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130
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131 output = ui.config('profiling', 'output')
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132
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133 if output == 'blackbox':
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134 fp = util.stringio()
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135 elif output:
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136 path = ui.expandpath(output)
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137 fp = open(path, 'wb')
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138 else:
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139 fp = sys.stderr
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140
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141 try:
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142 if profiler == 'ls':
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143 proffn = lsprofile
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144 elif profiler == 'flame':
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145 proffn = flameprofile
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146 else:
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147 proffn = statprofile
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148
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149 with proffn(ui, fp):
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150 yield
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151
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152 finally:
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153 if output:
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154 if output == 'blackbox':
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155 val = 'Profile:\n%s' % fp.getvalue()
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156 # ui.log treats the input as a format string,
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157 # so we need to escape any % signs.
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158 val = val.replace('%', '%%')
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159 ui.log('profile', val)
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160 fp.close()
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161
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162 @contextlib.contextmanager
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163 def maybeprofile(ui):
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164 """Profile if enabled, else do nothing.
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165
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166 This context manager can be used to optionally profile if profiling
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167 is enabled. Otherwise, it does nothing.
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168
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169 The purpose of this context manager is to make calling code simpler:
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170 just use a single code path for calling into code you may want to profile
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171 and this function determines whether to start profiling.
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172 """
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173 if ui.configbool('profiling', 'enabled'):
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174 with profile(ui):
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175 yield
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176 else:
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177 yield