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annotate mercurial/profiling.py @ 30329:faf1b8923da2

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profiling: use vendored statprof and upstream enhancements (BC) Now that the statprof module is vendored and suitable for use, we switch our statprof profiler to use it. This required some minor changes because of drift between the official statprof profiler and the vendored copy. We also incorporate Facebook's improvements from the "statprofext" extension at https://bitbucket.org/facebook/hg-experimental, notably support for different display formats. Because statprof output is different, this is marked as BC. Although most users likely won't notice since most users don't profile.
author Gregory Szorc <gregory.szorc@gmail.com>
date Fri, 04 Nov 2016 20:50:38 -0700
parents 88d3c1ab03a7
children 3fd53cc1aad8
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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='ls')
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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 = 'ls'
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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