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# worker.py - master-slave parallelism support
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#
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# Copyright 2013 Facebook, Inc.
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#
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# This software may be used and distributed according to the terms of the
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# GNU General Public License version 2 or any later version.
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from __future__ import absolute_import
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import errno
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import os
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import signal
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import sys
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from .i18n import _
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from . import (
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encoding,
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error,
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pycompat,
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scmutil,
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util,
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)
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def countcpus():
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'''try to count the number of CPUs on the system'''
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# posix
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try:
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n = int(os.sysconf('SC_NPROCESSORS_ONLN'))
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if n > 0:
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return n
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except (AttributeError, ValueError):
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pass
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# windows
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try:
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n = int(encoding.environ['NUMBER_OF_PROCESSORS'])
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if n > 0:
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return n
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except (KeyError, ValueError):
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pass
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return 1
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def _numworkers(ui):
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s = ui.config('worker', 'numcpus')
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if s:
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try:
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n = int(s)
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if n >= 1:
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return n
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except ValueError:
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raise error.Abort(_('number of cpus must be an integer'))
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return min(max(countcpus(), 4), 32)
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if pycompat.osname == 'posix':
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_startupcost = 0.01
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else:
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_startupcost = 1e30
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def worthwhile(ui, costperop, nops):
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'''try to determine whether the benefit of multiple processes can
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outweigh the cost of starting them'''
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linear = costperop * nops
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workers = _numworkers(ui)
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benefit = linear - (_startupcost * workers + linear / workers)
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return benefit >= 0.15
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def worker(ui, costperarg, func, staticargs, args):
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'''run a function, possibly in parallel in multiple worker
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processes.
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returns a progress iterator
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costperarg - cost of a single task
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func - function to run
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staticargs - arguments to pass to every invocation of the function
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args - arguments to split into chunks, to pass to individual
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workers
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'''
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if worthwhile(ui, costperarg, len(args)):
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return _platformworker(ui, func, staticargs, args)
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return func(*staticargs + (args,))
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def _posixworker(ui, func, staticargs, args):
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rfd, wfd = os.pipe()
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workers = _numworkers(ui)
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oldhandler = signal.getsignal(signal.SIGINT)
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signal.signal(signal.SIGINT, signal.SIG_IGN)
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pids, problem = set(), [0]
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def killworkers():
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# unregister SIGCHLD handler as all children will be killed. This
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# function shouldn't be interrupted by another SIGCHLD; otherwise pids
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# could be updated while iterating, which would cause inconsistency.
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signal.signal(signal.SIGCHLD, oldchldhandler)
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# if one worker bails, there's no good reason to wait for the rest
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for p in pids:
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try:
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os.kill(p, signal.SIGTERM)
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except OSError as err:
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if err.errno != errno.ESRCH:
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raise
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def waitforworkers(blocking=True):
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for pid in pids.copy():
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p = st = 0
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while True:
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try:
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p, st = os.waitpid(pid, (0 if blocking else os.WNOHANG))
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break
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except OSError as e:
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if e.errno == errno.EINTR:
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continue
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elif e.errno == errno.ECHILD:
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# child would already be reaped, but pids yet been
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# updated (maybe interrupted just after waitpid)
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pids.discard(pid)
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break
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else:
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raise
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if not p:
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# skip subsequent steps, because child process should
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# be still running in this case
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continue
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pids.discard(p)
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st = _exitstatus(st)
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if st and not problem[0]:
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problem[0] = st
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def sigchldhandler(signum, frame):
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waitforworkers(blocking=False)
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if problem[0]:
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killworkers()
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oldchldhandler = signal.signal(signal.SIGCHLD, sigchldhandler)
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for pargs in partition(args, workers):
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pid = os.fork()
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if pid == 0:
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signal.signal(signal.SIGINT, oldhandler)
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signal.signal(signal.SIGCHLD, oldchldhandler)
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def workerfunc():
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os.close(rfd)
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for i, item in func(*(staticargs + (pargs,))):
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os.write(wfd, '%d %s\n' % (i, item))
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# make sure we use os._exit in all code paths. otherwise the worker
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# may do some clean-ups which could cause surprises like deadlock.
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# see sshpeer.cleanup for example.
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try:
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try:
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scmutil.callcatch(ui, workerfunc)
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finally:
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ui.flush()
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except KeyboardInterrupt:
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os._exit(255)
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except: # never return, therefore no re-raises
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try:
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ui.traceback()
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ui.flush()
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finally:
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os._exit(255)
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else:
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os._exit(0)
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pids.add(pid)
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os.close(wfd)
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fp = os.fdopen(rfd, 'rb', 0)
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def cleanup():
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signal.signal(signal.SIGINT, oldhandler)
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waitforworkers()
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signal.signal(signal.SIGCHLD, oldchldhandler)
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status = problem[0]
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if status:
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if status < 0:
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os.kill(os.getpid(), -status)
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sys.exit(status)
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try:
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for line in util.iterfile(fp):
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l = line.split(' ', 1)
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yield int(l[0]), l[1][:-1]
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except: # re-raises
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killworkers()
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cleanup()
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raise
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cleanup()
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def _posixexitstatus(code):
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'''convert a posix exit status into the same form returned by
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os.spawnv
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returns None if the process was stopped instead of exiting'''
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if os.WIFEXITED(code):
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return os.WEXITSTATUS(code)
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elif os.WIFSIGNALED(code):
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return -os.WTERMSIG(code)
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if pycompat.osname != 'nt':
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_platformworker = _posixworker
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_exitstatus = _posixexitstatus
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def partition(lst, nslices):
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'''partition a list into N slices of roughly equal size
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The current strategy takes every Nth element from the input. If
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we ever write workers that need to preserve grouping in input
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we should consider allowing callers to specify a partition strategy.
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mpm is not a fan of this partitioning strategy when files are involved.
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In his words:
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Single-threaded Mercurial makes a point of creating and visiting
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files in a fixed order (alphabetical). When creating files in order,
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a typical filesystem is likely to allocate them on nearby regions on
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disk. Thus, when revisiting in the same order, locality is maximized
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and various forms of OS and disk-level caching and read-ahead get a
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chance to work.
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This effect can be quite significant on spinning disks. I discovered it
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circa Mercurial v0.4 when revlogs were named by hashes of filenames.
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Tarring a repo and copying it to another disk effectively randomized
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the revlog ordering on disk by sorting the revlogs by hash and suddenly
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performance of my kernel checkout benchmark dropped by ~10x because the
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"working set" of sectors visited no longer fit in the drive's cache and
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the workload switched from streaming to random I/O.
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What we should really be doing is have workers read filenames from a
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ordered queue. This preserves locality and also keeps any worker from
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getting more than one file out of balance.
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'''
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for i in range(nslices):
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yield lst[i::nslices]
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