mercurial/worker.py
author Yuya Nishihara <yuya@tcha.org>
Thu, 24 Aug 2017 22:20:02 +0900
changeset 33931 7cab956794e4
parent 32611 954489932c4f
child 34645 75979c8d4572
permissions -rw-r--r--
run-tests: pass unicode to Pygments This is required on Python 3, and is more correct on Python 2 because Pygments is a unicode library.
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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(r'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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    ui.flush()
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    parentpid = os.getpid()
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    for pargs in partition(args, workers):
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        # make sure we use os._exit in all worker code paths. otherwise the
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        # worker may do some clean-ups which could cause surprises like
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        # deadlock. see sshpeer.cleanup for example.
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        # override error handling *before* fork. this is necessary because
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        # exception (signal) may arrive after fork, before "pid =" assignment
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        # completes, and other exception handler (dispatch.py) can lead to
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        # unexpected code path without os._exit.
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        ret = -1
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        try:
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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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                    return 0
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   158
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                ret = scmutil.callcatch(ui, workerfunc)
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        except: # parent re-raises, child never returns
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            if os.getpid() == parentpid:
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                raise
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            exctype = sys.exc_info()[0]
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            force = not issubclass(exctype, KeyboardInterrupt)
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            ui.traceback(force=force)
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        finally:
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            if os.getpid() != parentpid:
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                try:
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                    ui.flush()
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                except: # never returns, no re-raises
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                    pass
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                finally:
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                    os._exit(ret & 255)
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        pids.add(pid)
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    os.close(wfd)
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    fp = os.fdopen(rfd, pycompat.sysstr('rb'), 0)
18638
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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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   185
            sys.exit(status)
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   186
    try:
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   187
        for line in util.iterfile(fp):
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   188
            l = line.split(' ', 1)
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   189
            yield int(l[0]), l[1][:-1]
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   190
    except: # re-raises
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        killworkers()
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        cleanup()
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   193
        raise
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    cleanup()
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   195
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   196
def _posixexitstatus(code):
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   197
    '''convert a posix exit status into the same form returned by
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   198
    os.spawnv
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   199
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   200
    returns None if the process was stopped instead of exiting'''
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   201
    if os.WIFEXITED(code):
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   202
        return os.WEXITSTATUS(code)
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   203
    elif os.WIFSIGNALED(code):
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   204
        return -os.WTERMSIG(code)
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   205
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   206
if pycompat.osname != 'nt':
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   207
    _platformworker = _posixworker
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   208
    _exitstatus = _posixexitstatus
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   209
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   210
def partition(lst, nslices):
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   211
    '''partition a list into N slices of roughly equal size
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   212
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   213
    The current strategy takes every Nth element from the input. If
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   214
    we ever write workers that need to preserve grouping in input
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   215
    we should consider allowing callers to specify a partition strategy.
28292
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   216
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   217
    mpm is not a fan of this partitioning strategy when files are involved.
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   218
    In his words:
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   219
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   220
        Single-threaded Mercurial makes a point of creating and visiting
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   221
        files in a fixed order (alphabetical). When creating files in order,
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   222
        a typical filesystem is likely to allocate them on nearby regions on
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   223
        disk. Thus, when revisiting in the same order, locality is maximized
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   224
        and various forms of OS and disk-level caching and read-ahead get a
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   225
        chance to work.
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   226
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   227
        This effect can be quite significant on spinning disks. I discovered it
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   228
        circa Mercurial v0.4 when revlogs were named by hashes of filenames.
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   229
        Tarring a repo and copying it to another disk effectively randomized
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   230
        the revlog ordering on disk by sorting the revlogs by hash and suddenly
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   231
        performance of my kernel checkout benchmark dropped by ~10x because the
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   232
        "working set" of sectors visited no longer fit in the drive's cache and
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   233
        the workload switched from streaming to random I/O.
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   234
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   235
        What we should really be doing is have workers read filenames from a
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   236
        ordered queue. This preserves locality and also keeps any worker from
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   237
        getting more than one file out of balance.
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   238
    '''
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   239
    for i in range(nslices):
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   240
        yield lst[i::nslices]