annotate mercurial/worker.py @ 30424:5069a8a40b1b

worker: make waitforworkers reentrant We are going to use it in the SIGCHLD handler. The handler will be executed in the main thread with the non-blocking version of waitpid, while the waitforworkers thread runs the blocking version. It's possible that one of them collects a worker and makes the other error out (no child to wait). This patch handles these errors: ECHILD is ignored. EINTR needs a retry. The "pids" set is designed to be only modifiable by "waitforworkers". And we only remove items after a successful waitpid. Since a child process can only be "waitpid"-ed once. It's guaranteed that "pids.remove(p)" won't be called with duplicated "p"s. And once a "p" is removed from "pids", that "p" does not need to be killed or waited any more.
author Jun Wu <quark@fb.com>
date Tue, 15 Nov 2016 02:12:16 +0000
parents 9c25a1a8c685
children e8fb03cfbbde
Ignore whitespace changes - Everywhere: Within whitespace: At end of lines:
rev   line source
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1 # worker.py - master-slave parallelism support
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2 #
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3 # Copyright 2013 Facebook, Inc.
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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
25992
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8 from __future__ import absolute_import
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9
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10 import errno
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11 import os
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12 import signal
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13 import sys
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14 import threading
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15
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16 from .i18n import _
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17 from . import (
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18 error,
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19 util,
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20 )
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21
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22 def countcpus():
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23 '''try to count the number of CPUs on the system'''
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24
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25 # posix
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26 try:
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27 n = int(os.sysconf('SC_NPROCESSORS_ONLN'))
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28 if n > 0:
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29 return n
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30 except (AttributeError, ValueError):
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31 pass
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32
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33 # windows
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34 try:
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35 n = int(os.environ['NUMBER_OF_PROCESSORS'])
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36 if n > 0:
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37 return n
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38 except (KeyError, ValueError):
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39 pass
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40
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41 return 1
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42
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43 def _numworkers(ui):
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44 s = ui.config('worker', 'numcpus')
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45 if s:
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46 try:
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47 n = int(s)
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48 if n >= 1:
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49 return n
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50 except ValueError:
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51 raise error.Abort(_('number of cpus must be an integer'))
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52 return min(max(countcpus(), 4), 32)
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53
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54 if os.name == 'posix':
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55 _startupcost = 0.01
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56 else:
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57 _startupcost = 1e30
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58
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59 def worthwhile(ui, costperop, nops):
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60 '''try to determine whether the benefit of multiple processes can
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61 outweigh the cost of starting them'''
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62 linear = costperop * nops
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63 workers = _numworkers(ui)
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64 benefit = linear - (_startupcost * workers + linear / workers)
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65 return benefit >= 0.15
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66
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67 def worker(ui, costperarg, func, staticargs, args):
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68 '''run a function, possibly in parallel in multiple worker
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69 processes.
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70
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71 returns a progress iterator
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72
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73 costperarg - cost of a single task
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74
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75 func - function to run
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76
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77 staticargs - arguments to pass to every invocation of the function
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78
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79 args - arguments to split into chunks, to pass to individual
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80 workers
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81 '''
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82 if worthwhile(ui, costperarg, len(args)):
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83 return _platformworker(ui, func, staticargs, args)
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84 return func(*staticargs + (args,))
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85
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86 def _posixworker(ui, func, staticargs, args):
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87 rfd, wfd = os.pipe()
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88 workers = _numworkers(ui)
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89 oldhandler = signal.getsignal(signal.SIGINT)
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90 signal.signal(signal.SIGINT, signal.SIG_IGN)
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91 pids, problem = set(), [0]
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92 def killworkers():
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93 # if one worker bails, there's no good reason to wait for the rest
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94 for p in pids:
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95 try:
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96 os.kill(p, signal.SIGTERM)
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97 except OSError as err:
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98 if err.errno != errno.ESRCH:
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99 raise
30422
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100 def waitforworkers(blocking=True):
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101 for pid in pids.copy():
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102 p = st = 0
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103 while True:
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104 try:
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105 p, st = os.waitpid(pid, (0 if blocking else os.WNOHANG))
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106 except OSError as e:
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107 if e.errno == errno.EINTR:
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108 continue
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109 elif e.errno == errno.ECHILD:
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110 break # ignore ECHILD
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111 else:
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112 raise
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113 if p:
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114 pids.remove(p)
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115 st = _exitstatus(st)
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116 if st and not problem[0]:
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117 problem[0] = st
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118 killworkers()
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119 for pargs in partition(args, workers):
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120 pid = os.fork()
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121 if pid == 0:
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122 signal.signal(signal.SIGINT, oldhandler)
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123 try:
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124 os.close(rfd)
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125 for i, item in func(*(staticargs + (pargs,))):
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126 os.write(wfd, '%d %s\n' % (i, item))
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127 os._exit(0)
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128 except KeyboardInterrupt:
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129 os._exit(255)
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130 # other exceptions are allowed to propagate, we rely
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131 # on lock.py's pid checks to avoid release callbacks
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132 pids.add(pid)
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133 os.close(wfd)
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134 fp = os.fdopen(rfd, 'rb', 0)
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135 t = threading.Thread(target=waitforworkers)
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136 t.start()
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137 def cleanup():
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138 signal.signal(signal.SIGINT, oldhandler)
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139 t.join()
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140 status = problem[0]
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141 if status:
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142 if status < 0:
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143 os.kill(os.getpid(), -status)
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144 sys.exit(status)
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145 try:
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146 for line in util.iterfile(fp):
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147 l = line.split(' ', 1)
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148 yield int(l[0]), l[1][:-1]
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149 except: # re-raises
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150 killworkers()
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151 cleanup()
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152 raise
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153 cleanup()
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154
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155 def _posixexitstatus(code):
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156 '''convert a posix exit status into the same form returned by
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157 os.spawnv
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158
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159 returns None if the process was stopped instead of exiting'''
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160 if os.WIFEXITED(code):
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161 return os.WEXITSTATUS(code)
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162 elif os.WIFSIGNALED(code):
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163 return -os.WTERMSIG(code)
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164
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165 if os.name != 'nt':
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166 _platformworker = _posixworker
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167 _exitstatus = _posixexitstatus
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168
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169 def partition(lst, nslices):
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170 '''partition a list into N slices of roughly equal size
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171
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172 The current strategy takes every Nth element from the input. If
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173 we ever write workers that need to preserve grouping in input
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174 we should consider allowing callers to specify a partition strategy.
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175
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176 mpm is not a fan of this partitioning strategy when files are involved.
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177 In his words:
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178
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179 Single-threaded Mercurial makes a point of creating and visiting
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180 files in a fixed order (alphabetical). When creating files in order,
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181 a typical filesystem is likely to allocate them on nearby regions on
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182 disk. Thus, when revisiting in the same order, locality is maximized
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183 and various forms of OS and disk-level caching and read-ahead get a
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184 chance to work.
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185
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186 This effect can be quite significant on spinning disks. I discovered it
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187 circa Mercurial v0.4 when revlogs were named by hashes of filenames.
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188 Tarring a repo and copying it to another disk effectively randomized
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189 the revlog ordering on disk by sorting the revlogs by hash and suddenly
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190 performance of my kernel checkout benchmark dropped by ~10x because the
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191 "working set" of sectors visited no longer fit in the drive's cache and
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192 the workload switched from streaming to random I/O.
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193
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194 What we should really be doing is have workers read filenames from a
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195 ordered queue. This preserves locality and also keeps any worker from
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196 getting more than one file out of balance.
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197 '''
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198 for i in range(nslices):
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199 yield lst[i::nslices]