Mercurial > hg
annotate mercurial/profiling.py @ 47387:75e1104f23a2
revlog: use dedicated code for reading sidedata
We are about to introduce a new, dedicated, file to store sidedata. Before doing so, we make sidedata reading go through different code as reading data chunk. This will simplify some of the complexity of the next changesets.
The reading is very simple right now and will need some improvement later to
reuse some of the caching strategy we use for the data file.
Differential Revision: https://phab.mercurial-scm.org/D10785
author | Pierre-Yves David <pierre-yves.david@octobus.net> |
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date | Thu, 27 May 2021 04:09:30 +0200 |
parents | 5a6a1cd21f09 |
children | 6000f5b25c9b |
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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 |
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12 from .i18n import _ |
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13 from .pycompat import ( |
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14 getattr, |
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15 open, |
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16 ) |
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17 from . import ( |
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18 encoding, |
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19 error, |
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20 extensions, |
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21 pycompat, |
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22 util, |
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23 ) |
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24 |
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25 |
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26 def _loadprofiler(ui, profiler): |
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27 """load profiler extension. return profile method, or None on failure""" |
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28 extname = profiler |
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29 extensions.loadall(ui, whitelist=[extname]) |
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30 try: |
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31 mod = extensions.find(extname) |
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32 except KeyError: |
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33 return None |
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34 else: |
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35 return getattr(mod, 'profile', None) |
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36 |
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37 |
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38 @contextlib.contextmanager |
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39 def lsprofile(ui, fp): |
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40 format = ui.config(b'profiling', b'format') |
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41 field = ui.config(b'profiling', b'sort') |
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42 limit = ui.configint(b'profiling', b'limit') |
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43 climit = ui.configint(b'profiling', b'nested') |
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44 |
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45 if format not in [b'text', b'kcachegrind']: |
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46 ui.warn(_(b"unrecognized profiling format '%s' - Ignored\n") % format) |
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47 format = b'text' |
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48 |
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49 try: |
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50 from . import lsprof |
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51 except ImportError: |
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52 raise error.Abort( |
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53 _( |
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54 b'lsprof not available - install from ' |
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55 b'http://codespeak.net/svn/user/arigo/hack/misc/lsprof/' |
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56 ) |
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57 ) |
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58 p = lsprof.Profiler() |
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59 p.enable(subcalls=True) |
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60 try: |
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61 yield |
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62 finally: |
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63 p.disable() |
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64 |
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65 if format == b'kcachegrind': |
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66 from . import lsprofcalltree |
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67 |
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68 calltree = lsprofcalltree.KCacheGrind(p) |
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69 calltree.output(fp) |
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70 else: |
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71 # format == 'text' |
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72 stats = lsprof.Stats(p.getstats()) |
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73 stats.sort(pycompat.sysstr(field)) |
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74 stats.pprint(limit=limit, file=fp, climit=climit) |
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75 |
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76 |
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77 @contextlib.contextmanager |
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78 def flameprofile(ui, fp): |
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79 try: |
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80 from flamegraph import flamegraph # pytype: disable=import-error |
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81 except ImportError: |
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82 raise error.Abort( |
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83 _( |
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84 b'flamegraph not available - install from ' |
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85 b'https://github.com/evanhempel/python-flamegraph' |
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86 ) |
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87 ) |
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88 # developer config: profiling.freq |
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89 freq = ui.configint(b'profiling', b'freq') |
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90 filter_ = None |
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91 collapse_recursion = True |
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92 thread = flamegraph.ProfileThread( |
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93 fp, 1.0 / freq, filter_, collapse_recursion |
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94 ) |
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95 start_time = util.timer() |
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96 try: |
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97 thread.start() |
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98 yield |
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99 finally: |
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100 thread.stop() |
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101 thread.join() |
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102 print( |
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103 b'Collected %d stack frames (%d unique) in %2.2f seconds.' |
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104 % ( |
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105 util.timer() - start_time, |
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106 thread.num_frames(), |
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107 thread.num_frames(unique=True), |
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108 ) |
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109 ) |
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110 |
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111 |
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112 @contextlib.contextmanager |
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113 def statprofile(ui, fp): |
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114 from . import statprof |
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115 |
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116 freq = ui.configint(b'profiling', b'freq') |
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117 if freq > 0: |
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118 # Cannot reset when profiler is already active. So silently no-op. |
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119 if statprof.state.profile_level == 0: |
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120 statprof.reset(freq) |
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121 else: |
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122 ui.warn(_(b"invalid sampling frequency '%s' - ignoring\n") % freq) |
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123 |
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124 track = ui.config( |
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125 b'profiling', b'time-track', pycompat.iswindows and b'cpu' or b'real' |
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126 ) |
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127 statprof.start(mechanism=b'thread', track=track) |
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128 |
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129 try: |
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130 yield |
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131 finally: |
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132 data = statprof.stop() |
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133 |
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134 profformat = ui.config(b'profiling', b'statformat') |
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135 |
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136 formats = { |
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137 b'byline': statprof.DisplayFormats.ByLine, |
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138 b'bymethod': statprof.DisplayFormats.ByMethod, |
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139 b'hotpath': statprof.DisplayFormats.Hotpath, |
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140 b'json': statprof.DisplayFormats.Json, |
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141 b'chrome': statprof.DisplayFormats.Chrome, |
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142 } |
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143 |
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144 if profformat in formats: |
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145 displayformat = formats[profformat] |
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146 else: |
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147 ui.warn(_(b'unknown profiler output format: %s\n') % profformat) |
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148 displayformat = statprof.DisplayFormats.Hotpath |
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149 |
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150 kwargs = {} |
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151 |
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152 def fraction(s): |
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153 if isinstance(s, (float, int)): |
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154 return float(s) |
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155 if s.endswith(b'%'): |
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156 v = float(s[:-1]) / 100 |
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157 else: |
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158 v = float(s) |
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159 if 0 <= v <= 1: |
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160 return v |
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161 raise ValueError(s) |
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162 |
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163 if profformat == b'chrome': |
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164 showmin = ui.configwith(fraction, b'profiling', b'showmin', 0.005) |
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165 showmax = ui.configwith(fraction, b'profiling', b'showmax') |
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166 kwargs.update(minthreshold=showmin, maxthreshold=showmax) |
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167 elif profformat == b'hotpath': |
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168 # inconsistent config: profiling.showmin |
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169 limit = ui.configwith(fraction, b'profiling', b'showmin', 0.05) |
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170 kwargs['limit'] = limit |
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171 showtime = ui.configbool(b'profiling', b'showtime') |
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172 kwargs['showtime'] = showtime |
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173 |
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174 statprof.display(fp, data=data, format=displayformat, **kwargs) |
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175 |
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176 |
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177 class profile(object): |
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178 """Start profiling. |
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179 |
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180 Profiling is active when the context manager is active. When the context |
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181 manager exits, profiling results will be written to the configured output. |
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182 """ |
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183 |
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184 def __init__(self, ui, enabled=True): |
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185 self._ui = ui |
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186 self._output = None |
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187 self._fp = None |
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188 self._fpdoclose = True |
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189 self._flushfp = None |
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190 self._profiler = None |
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191 self._enabled = enabled |
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192 self._entered = False |
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193 self._started = False |
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194 |
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195 def __enter__(self): |
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196 self._entered = True |
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197 if self._enabled: |
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198 self.start() |
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199 return self |
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200 |
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201 def start(self): |
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202 """Start profiling. |
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203 |
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204 The profiling will stop at the context exit. |
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205 |
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206 If the profiler was already started, this has no effect.""" |
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207 if not self._entered: |
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208 raise error.ProgrammingError(b'use a context manager to start') |
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209 if self._started: |
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210 return |
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211 self._started = True |
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212 profiler = encoding.environ.get(b'HGPROF') |
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213 proffn = None |
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214 if profiler is None: |
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215 profiler = self._ui.config(b'profiling', b'type') |
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216 if profiler not in (b'ls', b'stat', b'flame'): |
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217 # try load profiler from extension with the same name |
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218 proffn = _loadprofiler(self._ui, profiler) |
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219 if proffn is None: |
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220 self._ui.warn( |
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221 _(b"unrecognized profiler '%s' - ignored\n") % profiler |
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222 ) |
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223 profiler = b'stat' |
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224 |
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225 self._output = self._ui.config(b'profiling', b'output') |
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226 |
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227 try: |
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228 if self._output == b'blackbox': |
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229 self._fp = util.stringio() |
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230 elif self._output: |
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231 path = util.expandpath(self._output) |
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232 self._fp = open(path, b'wb') |
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233 elif pycompat.iswindows: |
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234 # parse escape sequence by win32print() |
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235 class uifp(object): |
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236 def __init__(self, ui): |
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237 self._ui = ui |
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238 |
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239 def write(self, data): |
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240 self._ui.write_err(data) |
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241 |
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242 def flush(self): |
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243 self._ui.flush() |
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244 |
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245 self._fpdoclose = False |
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246 self._fp = uifp(self._ui) |
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247 else: |
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248 self._fpdoclose = False |
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249 self._fp = self._ui.ferr |
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250 # Ensure we've flushed fout before writing to ferr. |
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251 self._flushfp = self._ui.fout |
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252 |
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253 if proffn is not None: |
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254 pass |
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255 elif profiler == b'ls': |
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256 proffn = lsprofile |
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257 elif profiler == b'flame': |
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258 proffn = flameprofile |
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259 else: |
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260 proffn = statprofile |
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261 |
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262 self._profiler = proffn(self._ui, self._fp) |
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263 self._profiler.__enter__() |
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264 except: # re-raises |
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265 self._closefp() |
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266 raise |
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267 |
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268 def __exit__(self, exception_type, exception_value, traceback): |
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269 propagate = None |
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270 if self._profiler is not None: |
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271 self._uiflush() |
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272 propagate = self._profiler.__exit__( |
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273 exception_type, exception_value, traceback |
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274 ) |
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275 if self._output == b'blackbox': |
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276 val = b'Profile:\n%s' % self._fp.getvalue() |
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277 # ui.log treats the input as a format string, |
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278 # so we need to escape any % signs. |
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279 val = val.replace(b'%', b'%%') |
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280 self._ui.log(b'profile', val) |
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281 self._closefp() |
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282 return propagate |
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283 |
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284 def _closefp(self): |
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285 if self._fpdoclose and self._fp is not None: |
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286 self._fp.close() |
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287 |
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288 def _uiflush(self): |
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289 if self._flushfp: |
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290 self._flushfp.flush() |