|
|
# worker.py - master-slave parallelism support
|
|
|
#
|
|
|
# Copyright 2013 Facebook, Inc.
|
|
|
#
|
|
|
# This software may be used and distributed according to the terms of the
|
|
|
# GNU General Public License version 2 or any later version.
|
|
|
|
|
|
from __future__ import absolute_import
|
|
|
|
|
|
import errno
|
|
|
import os
|
|
|
import signal
|
|
|
import sys
|
|
|
import threading
|
|
|
import time
|
|
|
|
|
|
try:
|
|
|
import selectors
|
|
|
|
|
|
selectors.BaseSelector
|
|
|
except ImportError:
|
|
|
from .thirdparty import selectors2 as selectors
|
|
|
|
|
|
from .i18n import _
|
|
|
from . import (
|
|
|
encoding,
|
|
|
error,
|
|
|
pycompat,
|
|
|
scmutil,
|
|
|
util,
|
|
|
)
|
|
|
|
|
|
|
|
|
def countcpus():
|
|
|
'''try to count the number of CPUs on the system'''
|
|
|
|
|
|
# posix
|
|
|
try:
|
|
|
n = int(os.sysconf('SC_NPROCESSORS_ONLN'))
|
|
|
if n > 0:
|
|
|
return n
|
|
|
except (AttributeError, ValueError):
|
|
|
pass
|
|
|
|
|
|
# windows
|
|
|
try:
|
|
|
n = int(encoding.environ[b'NUMBER_OF_PROCESSORS'])
|
|
|
if n > 0:
|
|
|
return n
|
|
|
except (KeyError, ValueError):
|
|
|
pass
|
|
|
|
|
|
return 1
|
|
|
|
|
|
|
|
|
def _numworkers(ui):
|
|
|
s = ui.config(b'worker', b'numcpus')
|
|
|
if s:
|
|
|
try:
|
|
|
n = int(s)
|
|
|
if n >= 1:
|
|
|
return n
|
|
|
except ValueError:
|
|
|
raise error.Abort(_(b'number of cpus must be an integer'))
|
|
|
return min(max(countcpus(), 4), 32)
|
|
|
|
|
|
|
|
|
if pycompat.ispy3:
|
|
|
|
|
|
def ismainthread():
|
|
|
return threading.current_thread() == threading.main_thread()
|
|
|
|
|
|
class _blockingreader(object):
|
|
|
def __init__(self, wrapped):
|
|
|
self._wrapped = wrapped
|
|
|
|
|
|
# Do NOT implement readinto() by making it delegate to
|
|
|
# _wrapped.readinto(), since that is unbuffered. The unpickler is fine
|
|
|
# with just read() and readline(), so we don't need to implement it.
|
|
|
|
|
|
def readline(self):
|
|
|
return self._wrapped.readline()
|
|
|
|
|
|
# issue multiple reads until size is fulfilled
|
|
|
def read(self, size=-1):
|
|
|
if size < 0:
|
|
|
return self._wrapped.readall()
|
|
|
|
|
|
buf = bytearray(size)
|
|
|
view = memoryview(buf)
|
|
|
pos = 0
|
|
|
|
|
|
while pos < size:
|
|
|
ret = self._wrapped.readinto(view[pos:])
|
|
|
if not ret:
|
|
|
break
|
|
|
pos += ret
|
|
|
|
|
|
del view
|
|
|
del buf[pos:]
|
|
|
return bytes(buf)
|
|
|
|
|
|
|
|
|
else:
|
|
|
|
|
|
def ismainthread():
|
|
|
# pytype: disable=module-attr
|
|
|
return isinstance(threading.current_thread(), threading._MainThread)
|
|
|
# pytype: enable=module-attr
|
|
|
|
|
|
def _blockingreader(wrapped):
|
|
|
return wrapped
|
|
|
|
|
|
|
|
|
if pycompat.isposix or pycompat.iswindows:
|
|
|
_STARTUP_COST = 0.01
|
|
|
# The Windows worker is thread based. If tasks are CPU bound, threads
|
|
|
# in the presence of the GIL result in excessive context switching and
|
|
|
# this overhead can slow down execution.
|
|
|
_DISALLOW_THREAD_UNSAFE = pycompat.iswindows
|
|
|
else:
|
|
|
_STARTUP_COST = 1e30
|
|
|
_DISALLOW_THREAD_UNSAFE = False
|
|
|
|
|
|
|
|
|
def worthwhile(ui, costperop, nops, threadsafe=True):
|
|
|
"""try to determine whether the benefit of multiple processes can
|
|
|
outweigh the cost of starting them"""
|
|
|
|
|
|
if not threadsafe and _DISALLOW_THREAD_UNSAFE:
|
|
|
return False
|
|
|
|
|
|
linear = costperop * nops
|
|
|
workers = _numworkers(ui)
|
|
|
benefit = linear - (_STARTUP_COST * workers + linear / workers)
|
|
|
return benefit >= 0.15
|
|
|
|
|
|
|
|
|
def worker(
|
|
|
ui, costperarg, func, staticargs, args, hasretval=False, threadsafe=True
|
|
|
):
|
|
|
"""run a function, possibly in parallel in multiple worker
|
|
|
processes.
|
|
|
|
|
|
returns a progress iterator
|
|
|
|
|
|
costperarg - cost of a single task
|
|
|
|
|
|
func - function to run. It is expected to return a progress iterator.
|
|
|
|
|
|
staticargs - arguments to pass to every invocation of the function
|
|
|
|
|
|
args - arguments to split into chunks, to pass to individual
|
|
|
workers
|
|
|
|
|
|
hasretval - when True, func and the current function return an progress
|
|
|
iterator then a dict (encoded as an iterator that yield many (False, ..)
|
|
|
then a (True, dict)). The dicts are joined in some arbitrary order, so
|
|
|
overlapping keys are a bad idea.
|
|
|
|
|
|
threadsafe - whether work items are thread safe and can be executed using
|
|
|
a thread-based worker. Should be disabled for CPU heavy tasks that don't
|
|
|
release the GIL.
|
|
|
"""
|
|
|
enabled = ui.configbool(b'worker', b'enabled')
|
|
|
if enabled and _platformworker is _posixworker and not ismainthread():
|
|
|
# The POSIX worker has to install a handler for SIGCHLD.
|
|
|
# Python up to 3.9 only allows this in the main thread.
|
|
|
enabled = False
|
|
|
|
|
|
if enabled and worthwhile(ui, costperarg, len(args), threadsafe=threadsafe):
|
|
|
return _platformworker(ui, func, staticargs, args, hasretval)
|
|
|
return func(*staticargs + (args,))
|
|
|
|
|
|
|
|
|
def _posixworker(ui, func, staticargs, args, hasretval):
|
|
|
workers = _numworkers(ui)
|
|
|
oldhandler = signal.getsignal(signal.SIGINT)
|
|
|
signal.signal(signal.SIGINT, signal.SIG_IGN)
|
|
|
pids, problem = set(), [0]
|
|
|
|
|
|
def killworkers():
|
|
|
# unregister SIGCHLD handler as all children will be killed. This
|
|
|
# function shouldn't be interrupted by another SIGCHLD; otherwise pids
|
|
|
# could be updated while iterating, which would cause inconsistency.
|
|
|
signal.signal(signal.SIGCHLD, oldchldhandler)
|
|
|
# if one worker bails, there's no good reason to wait for the rest
|
|
|
for p in pids:
|
|
|
try:
|
|
|
os.kill(p, signal.SIGTERM)
|
|
|
except OSError as err:
|
|
|
if err.errno != errno.ESRCH:
|
|
|
raise
|
|
|
|
|
|
def waitforworkers(blocking=True):
|
|
|
for pid in pids.copy():
|
|
|
p = st = 0
|
|
|
while True:
|
|
|
try:
|
|
|
p, st = os.waitpid(pid, (0 if blocking else os.WNOHANG))
|
|
|
break
|
|
|
except OSError as e:
|
|
|
if e.errno == errno.EINTR:
|
|
|
continue
|
|
|
elif e.errno == errno.ECHILD:
|
|
|
# child would already be reaped, but pids yet been
|
|
|
# updated (maybe interrupted just after waitpid)
|
|
|
pids.discard(pid)
|
|
|
break
|
|
|
else:
|
|
|
raise
|
|
|
if not p:
|
|
|
# skip subsequent steps, because child process should
|
|
|
# be still running in this case
|
|
|
continue
|
|
|
pids.discard(p)
|
|
|
st = _exitstatus(st)
|
|
|
if st and not problem[0]:
|
|
|
problem[0] = st
|
|
|
|
|
|
def sigchldhandler(signum, frame):
|
|
|
waitforworkers(blocking=False)
|
|
|
if problem[0]:
|
|
|
killworkers()
|
|
|
|
|
|
oldchldhandler = signal.signal(signal.SIGCHLD, sigchldhandler)
|
|
|
ui.flush()
|
|
|
parentpid = os.getpid()
|
|
|
pipes = []
|
|
|
retval = {}
|
|
|
for pargs in partition(args, min(workers, len(args))):
|
|
|
# Every worker gets its own pipe to send results on, so we don't have to
|
|
|
# implement atomic writes larger than PIPE_BUF. Each forked process has
|
|
|
# its own pipe's descriptors in the local variables, and the parent
|
|
|
# process has the full list of pipe descriptors (and it doesn't really
|
|
|
# care what order they're in).
|
|
|
rfd, wfd = os.pipe()
|
|
|
pipes.append((rfd, wfd))
|
|
|
# make sure we use os._exit in all worker code paths. otherwise the
|
|
|
# worker may do some clean-ups which could cause surprises like
|
|
|
# deadlock. see sshpeer.cleanup for example.
|
|
|
# override error handling *before* fork. this is necessary because
|
|
|
# exception (signal) may arrive after fork, before "pid =" assignment
|
|
|
# completes, and other exception handler (dispatch.py) can lead to
|
|
|
# unexpected code path without os._exit.
|
|
|
ret = -1
|
|
|
try:
|
|
|
pid = os.fork()
|
|
|
if pid == 0:
|
|
|
signal.signal(signal.SIGINT, oldhandler)
|
|
|
signal.signal(signal.SIGCHLD, oldchldhandler)
|
|
|
|
|
|
def workerfunc():
|
|
|
for r, w in pipes[:-1]:
|
|
|
os.close(r)
|
|
|
os.close(w)
|
|
|
os.close(rfd)
|
|
|
for result in func(*(staticargs + (pargs,))):
|
|
|
os.write(wfd, util.pickle.dumps(result))
|
|
|
return 0
|
|
|
|
|
|
ret = scmutil.callcatch(ui, workerfunc)
|
|
|
except: # parent re-raises, child never returns
|
|
|
if os.getpid() == parentpid:
|
|
|
raise
|
|
|
exctype = sys.exc_info()[0]
|
|
|
force = not issubclass(exctype, KeyboardInterrupt)
|
|
|
ui.traceback(force=force)
|
|
|
finally:
|
|
|
if os.getpid() != parentpid:
|
|
|
try:
|
|
|
ui.flush()
|
|
|
except: # never returns, no re-raises
|
|
|
pass
|
|
|
finally:
|
|
|
os._exit(ret & 255)
|
|
|
pids.add(pid)
|
|
|
selector = selectors.DefaultSelector()
|
|
|
for rfd, wfd in pipes:
|
|
|
os.close(wfd)
|
|
|
selector.register(os.fdopen(rfd, 'rb', 0), selectors.EVENT_READ)
|
|
|
|
|
|
def cleanup():
|
|
|
signal.signal(signal.SIGINT, oldhandler)
|
|
|
waitforworkers()
|
|
|
signal.signal(signal.SIGCHLD, oldchldhandler)
|
|
|
selector.close()
|
|
|
return problem[0]
|
|
|
|
|
|
try:
|
|
|
openpipes = len(pipes)
|
|
|
while openpipes > 0:
|
|
|
for key, events in selector.select():
|
|
|
try:
|
|
|
res = util.pickle.load(_blockingreader(key.fileobj))
|
|
|
if hasretval and res[0]:
|
|
|
retval.update(res[1])
|
|
|
else:
|
|
|
yield res
|
|
|
except EOFError:
|
|
|
selector.unregister(key.fileobj)
|
|
|
key.fileobj.close()
|
|
|
openpipes -= 1
|
|
|
except IOError as e:
|
|
|
if e.errno == errno.EINTR:
|
|
|
continue
|
|
|
raise
|
|
|
except: # re-raises
|
|
|
killworkers()
|
|
|
cleanup()
|
|
|
raise
|
|
|
status = cleanup()
|
|
|
if status:
|
|
|
if status < 0:
|
|
|
os.kill(os.getpid(), -status)
|
|
|
raise error.WorkerError(status)
|
|
|
if hasretval:
|
|
|
yield True, retval
|
|
|
|
|
|
|
|
|
def _posixexitstatus(code):
|
|
|
"""convert a posix exit status into the same form returned by
|
|
|
os.spawnv
|
|
|
|
|
|
returns None if the process was stopped instead of exiting"""
|
|
|
if os.WIFEXITED(code):
|
|
|
return os.WEXITSTATUS(code)
|
|
|
elif os.WIFSIGNALED(code):
|
|
|
return -(os.WTERMSIG(code))
|
|
|
|
|
|
|
|
|
def _windowsworker(ui, func, staticargs, args, hasretval):
|
|
|
class Worker(threading.Thread):
|
|
|
def __init__(
|
|
|
self, taskqueue, resultqueue, func, staticargs, *args, **kwargs
|
|
|
):
|
|
|
threading.Thread.__init__(self, *args, **kwargs)
|
|
|
self._taskqueue = taskqueue
|
|
|
self._resultqueue = resultqueue
|
|
|
self._func = func
|
|
|
self._staticargs = staticargs
|
|
|
self._interrupted = False
|
|
|
self.daemon = True
|
|
|
self.exception = None
|
|
|
|
|
|
def interrupt(self):
|
|
|
self._interrupted = True
|
|
|
|
|
|
def run(self):
|
|
|
try:
|
|
|
while not self._taskqueue.empty():
|
|
|
try:
|
|
|
args = self._taskqueue.get_nowait()
|
|
|
for res in self._func(*self._staticargs + (args,)):
|
|
|
self._resultqueue.put(res)
|
|
|
# threading doesn't provide a native way to
|
|
|
# interrupt execution. handle it manually at every
|
|
|
# iteration.
|
|
|
if self._interrupted:
|
|
|
return
|
|
|
except pycompat.queue.Empty:
|
|
|
break
|
|
|
except Exception as e:
|
|
|
# store the exception such that the main thread can resurface
|
|
|
# it as if the func was running without workers.
|
|
|
self.exception = e
|
|
|
raise
|
|
|
|
|
|
threads = []
|
|
|
|
|
|
def trykillworkers():
|
|
|
# Allow up to 1 second to clean worker threads nicely
|
|
|
cleanupend = time.time() + 1
|
|
|
for t in threads:
|
|
|
t.interrupt()
|
|
|
for t in threads:
|
|
|
remainingtime = cleanupend - time.time()
|
|
|
t.join(remainingtime)
|
|
|
if t.is_alive():
|
|
|
# pass over the workers joining failure. it is more
|
|
|
# important to surface the inital exception than the
|
|
|
# fact that one of workers may be processing a large
|
|
|
# task and does not get to handle the interruption.
|
|
|
ui.warn(
|
|
|
_(
|
|
|
b"failed to kill worker threads while "
|
|
|
b"handling an exception\n"
|
|
|
)
|
|
|
)
|
|
|
return
|
|
|
|
|
|
workers = _numworkers(ui)
|
|
|
resultqueue = pycompat.queue.Queue()
|
|
|
taskqueue = pycompat.queue.Queue()
|
|
|
retval = {}
|
|
|
# partition work to more pieces than workers to minimize the chance
|
|
|
# of uneven distribution of large tasks between the workers
|
|
|
for pargs in partition(args, workers * 20):
|
|
|
taskqueue.put(pargs)
|
|
|
for _i in range(workers):
|
|
|
t = Worker(taskqueue, resultqueue, func, staticargs)
|
|
|
threads.append(t)
|
|
|
t.start()
|
|
|
try:
|
|
|
while len(threads) > 0:
|
|
|
while not resultqueue.empty():
|
|
|
res = resultqueue.get()
|
|
|
if hasretval and res[0]:
|
|
|
retval.update(res[1])
|
|
|
else:
|
|
|
yield res
|
|
|
threads[0].join(0.05)
|
|
|
finishedthreads = [_t for _t in threads if not _t.is_alive()]
|
|
|
for t in finishedthreads:
|
|
|
if t.exception is not None:
|
|
|
raise t.exception
|
|
|
threads.remove(t)
|
|
|
except (Exception, KeyboardInterrupt): # re-raises
|
|
|
trykillworkers()
|
|
|
raise
|
|
|
while not resultqueue.empty():
|
|
|
res = resultqueue.get()
|
|
|
if hasretval and res[0]:
|
|
|
retval.update(res[1])
|
|
|
else:
|
|
|
yield res
|
|
|
if hasretval:
|
|
|
yield True, retval
|
|
|
|
|
|
|
|
|
if pycompat.iswindows:
|
|
|
_platformworker = _windowsworker
|
|
|
else:
|
|
|
_platformworker = _posixworker
|
|
|
_exitstatus = _posixexitstatus
|
|
|
|
|
|
|
|
|
def partition(lst, nslices):
|
|
|
"""partition a list into N slices of roughly equal size
|
|
|
|
|
|
The current strategy takes every Nth element from the input. If
|
|
|
we ever write workers that need to preserve grouping in input
|
|
|
we should consider allowing callers to specify a partition strategy.
|
|
|
|
|
|
olivia is not a fan of this partitioning strategy when files are involved.
|
|
|
In his words:
|
|
|
|
|
|
Single-threaded Mercurial makes a point of creating and visiting
|
|
|
files in a fixed order (alphabetical). When creating files in order,
|
|
|
a typical filesystem is likely to allocate them on nearby regions on
|
|
|
disk. Thus, when revisiting in the same order, locality is maximized
|
|
|
and various forms of OS and disk-level caching and read-ahead get a
|
|
|
chance to work.
|
|
|
|
|
|
This effect can be quite significant on spinning disks. I discovered it
|
|
|
circa Mercurial v0.4 when revlogs were named by hashes of filenames.
|
|
|
Tarring a repo and copying it to another disk effectively randomized
|
|
|
the revlog ordering on disk by sorting the revlogs by hash and suddenly
|
|
|
performance of my kernel checkout benchmark dropped by ~10x because the
|
|
|
"working set" of sectors visited no longer fit in the drive's cache and
|
|
|
the workload switched from streaming to random I/O.
|
|
|
|
|
|
What we should really be doing is have workers read filenames from a
|
|
|
ordered queue. This preserves locality and also keeps any worker from
|
|
|
getting more than one file out of balance.
|
|
|
"""
|
|
|
for i in range(nslices):
|
|
|
yield lst[i::nslices]
|
|
|
|
