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scheduler.py
849 lines | 30.2 KiB | text/x-python | PythonLexer
"""The Python scheduler for rich scheduling.
The Pure ZMQ scheduler does not allow routing schemes other than LRU,
nor does it check msg_id DAG dependencies. For those, a slightly slower
Python Scheduler exists.
"""
# Copyright (c) IPython Development Team.
# Distributed under the terms of the Modified BSD License.
import logging
import sys
import time
from collections import deque
from datetime import datetime
from random import randint, random
from types import FunctionType
try:
import numpy
except ImportError:
numpy = None
import zmq
from zmq.eventloop import ioloop, zmqstream
# local imports
from IPython.external.decorator import decorator
from IPython.config.application import Application
from IPython.config.loader import Config
from IPython.utils.traitlets import Instance, Dict, List, Set, Integer, Enum, CBytes
from IPython.utils.py3compat import cast_bytes
from IPython.parallel import error, util
from IPython.parallel.factory import SessionFactory
from IPython.parallel.util import connect_logger, local_logger
from .dependency import Dependency
@decorator
def logged(f,self,*args,**kwargs):
# print ("#--------------------")
self.log.debug("scheduler::%s(*%s,**%s)", f.__name__, args, kwargs)
# print ("#--")
return f(self,*args, **kwargs)
#----------------------------------------------------------------------
# Chooser functions
#----------------------------------------------------------------------
def plainrandom(loads):
"""Plain random pick."""
n = len(loads)
return randint(0,n-1)
def lru(loads):
"""Always pick the front of the line.
The content of `loads` is ignored.
Assumes LRU ordering of loads, with oldest first.
"""
return 0
def twobin(loads):
"""Pick two at random, use the LRU of the two.
The content of loads is ignored.
Assumes LRU ordering of loads, with oldest first.
"""
n = len(loads)
a = randint(0,n-1)
b = randint(0,n-1)
return min(a,b)
def weighted(loads):
"""Pick two at random using inverse load as weight.
Return the less loaded of the two.
"""
# weight 0 a million times more than 1:
weights = 1./(1e-6+numpy.array(loads))
sums = weights.cumsum()
t = sums[-1]
x = random()*t
y = random()*t
idx = 0
idy = 0
while sums[idx] < x:
idx += 1
while sums[idy] < y:
idy += 1
if weights[idy] > weights[idx]:
return idy
else:
return idx
def leastload(loads):
"""Always choose the lowest load.
If the lowest load occurs more than once, the first
occurance will be used. If loads has LRU ordering, this means
the LRU of those with the lowest load is chosen.
"""
return loads.index(min(loads))
#---------------------------------------------------------------------
# Classes
#---------------------------------------------------------------------
# store empty default dependency:
MET = Dependency([])
class Job(object):
"""Simple container for a job"""
def __init__(self, msg_id, raw_msg, idents, msg, header, metadata,
targets, after, follow, timeout):
self.msg_id = msg_id
self.raw_msg = raw_msg
self.idents = idents
self.msg = msg
self.header = header
self.metadata = metadata
self.targets = targets
self.after = after
self.follow = follow
self.timeout = timeout
self.removed = False # used for lazy-delete from sorted queue
self.timestamp = time.time()
self.timeout_id = 0
self.blacklist = set()
def __lt__(self, other):
return self.timestamp < other.timestamp
def __cmp__(self, other):
return cmp(self.timestamp, other.timestamp)
@property
def dependents(self):
return self.follow.union(self.after)
class TaskScheduler(SessionFactory):
"""Python TaskScheduler object.
This is the simplest object that supports msg_id based
DAG dependencies. *Only* task msg_ids are checked, not
msg_ids of jobs submitted via the MUX queue.
"""
hwm = Integer(1, config=True,
help="""specify the High Water Mark (HWM) for the downstream
socket in the Task scheduler. This is the maximum number
of allowed outstanding tasks on each engine.
The default (1) means that only one task can be outstanding on each
engine. Setting TaskScheduler.hwm=0 means there is no limit, and the
engines continue to be assigned tasks while they are working,
effectively hiding network latency behind computation, but can result
in an imbalance of work when submitting many heterogenous tasks all at
once. Any positive value greater than one is a compromise between the
two.
"""
)
scheme_name = Enum(('leastload', 'pure', 'lru', 'plainrandom', 'weighted', 'twobin'),
'leastload', config=True, allow_none=False,
help="""select the task scheduler scheme [default: Python LRU]
Options are: 'pure', 'lru', 'plainrandom', 'weighted', 'twobin','leastload'"""
)
def _scheme_name_changed(self, old, new):
self.log.debug("Using scheme %r"%new)
self.scheme = globals()[new]
# input arguments:
scheme = Instance(FunctionType) # function for determining the destination
def _scheme_default(self):
return leastload
client_stream = Instance(zmqstream.ZMQStream) # client-facing stream
engine_stream = Instance(zmqstream.ZMQStream) # engine-facing stream
notifier_stream = Instance(zmqstream.ZMQStream) # hub-facing sub stream
mon_stream = Instance(zmqstream.ZMQStream) # hub-facing pub stream
query_stream = Instance(zmqstream.ZMQStream) # hub-facing DEALER stream
# internals:
queue = Instance(deque) # sorted list of Jobs
def _queue_default(self):
return deque()
queue_map = Dict() # dict by msg_id of Jobs (for O(1) access to the Queue)
graph = Dict() # dict by msg_id of [ msg_ids that depend on key ]
retries = Dict() # dict by msg_id of retries remaining (non-neg ints)
# waiting = List() # list of msg_ids ready to run, but haven't due to HWM
pending = Dict() # dict by engine_uuid of submitted tasks
completed = Dict() # dict by engine_uuid of completed tasks
failed = Dict() # dict by engine_uuid of failed tasks
destinations = Dict() # dict by msg_id of engine_uuids where jobs ran (reverse of completed+failed)
clients = Dict() # dict by msg_id for who submitted the task
targets = List() # list of target IDENTs
loads = List() # list of engine loads
# full = Set() # set of IDENTs that have HWM outstanding tasks
all_completed = Set() # set of all completed tasks
all_failed = Set() # set of all failed tasks
all_done = Set() # set of all finished tasks=union(completed,failed)
all_ids = Set() # set of all submitted task IDs
ident = CBytes() # ZMQ identity. This should just be self.session.session
# but ensure Bytes
def _ident_default(self):
return self.session.bsession
def start(self):
self.query_stream.on_recv(self.dispatch_query_reply)
self.session.send(self.query_stream, "connection_request", {})
self.engine_stream.on_recv(self.dispatch_result, copy=False)
self.client_stream.on_recv(self.dispatch_submission, copy=False)
self._notification_handlers = dict(
registration_notification = self._register_engine,
unregistration_notification = self._unregister_engine
)
self.notifier_stream.on_recv(self.dispatch_notification)
self.log.info("Scheduler started [%s]" % self.scheme_name)
def resume_receiving(self):
"""Resume accepting jobs."""
self.client_stream.on_recv(self.dispatch_submission, copy=False)
def stop_receiving(self):
"""Stop accepting jobs while there are no engines.
Leave them in the ZMQ queue."""
self.client_stream.on_recv(None)
#-----------------------------------------------------------------------
# [Un]Registration Handling
#-----------------------------------------------------------------------
def dispatch_query_reply(self, msg):
"""handle reply to our initial connection request"""
try:
idents,msg = self.session.feed_identities(msg)
except ValueError:
self.log.warn("task::Invalid Message: %r",msg)
return
try:
msg = self.session.deserialize(msg)
except ValueError:
self.log.warn("task::Unauthorized message from: %r"%idents)
return
content = msg['content']
for uuid in content.get('engines', {}).values():
self._register_engine(cast_bytes(uuid))
@util.log_errors
def dispatch_notification(self, msg):
"""dispatch register/unregister events."""
try:
idents,msg = self.session.feed_identities(msg)
except ValueError:
self.log.warn("task::Invalid Message: %r",msg)
return
try:
msg = self.session.deserialize(msg)
except ValueError:
self.log.warn("task::Unauthorized message from: %r"%idents)
return
msg_type = msg['header']['msg_type']
handler = self._notification_handlers.get(msg_type, None)
if handler is None:
self.log.error("Unhandled message type: %r"%msg_type)
else:
try:
handler(cast_bytes(msg['content']['uuid']))
except Exception:
self.log.error("task::Invalid notification msg: %r", msg, exc_info=True)
def _register_engine(self, uid):
"""New engine with ident `uid` became available."""
# head of the line:
self.targets.insert(0,uid)
self.loads.insert(0,0)
# initialize sets
self.completed[uid] = set()
self.failed[uid] = set()
self.pending[uid] = {}
# rescan the graph:
self.update_graph(None)
def _unregister_engine(self, uid):
"""Existing engine with ident `uid` became unavailable."""
if len(self.targets) == 1:
# this was our only engine
pass
# handle any potentially finished tasks:
self.engine_stream.flush()
# don't pop destinations, because they might be used later
# map(self.destinations.pop, self.completed.pop(uid))
# map(self.destinations.pop, self.failed.pop(uid))
# prevent this engine from receiving work
idx = self.targets.index(uid)
self.targets.pop(idx)
self.loads.pop(idx)
# wait 5 seconds before cleaning up pending jobs, since the results might
# still be incoming
if self.pending[uid]:
self.loop.add_timeout(self.loop.time() + 5,
lambda : self.handle_stranded_tasks(uid),
)
else:
self.completed.pop(uid)
self.failed.pop(uid)
def handle_stranded_tasks(self, engine):
"""Deal with jobs resident in an engine that died."""
lost = self.pending[engine]
for msg_id in lost.keys():
if msg_id not in self.pending[engine]:
# prevent double-handling of messages
continue
raw_msg = lost[msg_id].raw_msg
idents,msg = self.session.feed_identities(raw_msg, copy=False)
parent = self.session.unpack(msg[1].bytes)
idents = [engine, idents[0]]
# build fake error reply
try:
raise error.EngineError("Engine %r died while running task %r"%(engine, msg_id))
except:
content = error.wrap_exception()
# build fake metadata
md = dict(
status=u'error',
engine=engine.decode('ascii'),
date=datetime.now(),
)
msg = self.session.msg('apply_reply', content, parent=parent, metadata=md)
raw_reply = list(map(zmq.Message, self.session.serialize(msg, ident=idents)))
# and dispatch it
self.dispatch_result(raw_reply)
# finally scrub completed/failed lists
self.completed.pop(engine)
self.failed.pop(engine)
#-----------------------------------------------------------------------
# Job Submission
#-----------------------------------------------------------------------
@util.log_errors
def dispatch_submission(self, raw_msg):
"""Dispatch job submission to appropriate handlers."""
# ensure targets up to date:
self.notifier_stream.flush()
try:
idents, msg = self.session.feed_identities(raw_msg, copy=False)
msg = self.session.deserialize(msg, content=False, copy=False)
except Exception:
self.log.error("task::Invaid task msg: %r"%raw_msg, exc_info=True)
return
# send to monitor
self.mon_stream.send_multipart([b'intask']+raw_msg, copy=False)
header = msg['header']
md = msg['metadata']
msg_id = header['msg_id']
self.all_ids.add(msg_id)
# get targets as a set of bytes objects
# from a list of unicode objects
targets = md.get('targets', [])
targets = set(map(cast_bytes, targets))
retries = md.get('retries', 0)
self.retries[msg_id] = retries
# time dependencies
after = md.get('after', None)
if after:
after = Dependency(after)
if after.all:
if after.success:
after = Dependency(after.difference(self.all_completed),
success=after.success,
failure=after.failure,
all=after.all,
)
if after.failure:
after = Dependency(after.difference(self.all_failed),
success=after.success,
failure=after.failure,
all=after.all,
)
if after.check(self.all_completed, self.all_failed):
# recast as empty set, if `after` already met,
# to prevent unnecessary set comparisons
after = MET
else:
after = MET
# location dependencies
follow = Dependency(md.get('follow', []))
timeout = md.get('timeout', None)
if timeout:
timeout = float(timeout)
job = Job(msg_id=msg_id, raw_msg=raw_msg, idents=idents, msg=msg,
header=header, targets=targets, after=after, follow=follow,
timeout=timeout, metadata=md,
)
# validate and reduce dependencies:
for dep in after,follow:
if not dep: # empty dependency
continue
# check valid:
if msg_id in dep or dep.difference(self.all_ids):
self.queue_map[msg_id] = job
return self.fail_unreachable(msg_id, error.InvalidDependency)
# check if unreachable:
if dep.unreachable(self.all_completed, self.all_failed):
self.queue_map[msg_id] = job
return self.fail_unreachable(msg_id)
if after.check(self.all_completed, self.all_failed):
# time deps already met, try to run
if not self.maybe_run(job):
# can't run yet
if msg_id not in self.all_failed:
# could have failed as unreachable
self.save_unmet(job)
else:
self.save_unmet(job)
def job_timeout(self, job, timeout_id):
"""callback for a job's timeout.
The job may or may not have been run at this point.
"""
if job.timeout_id != timeout_id:
# not the most recent call
return
now = time.time()
if job.timeout >= (now + 1):
self.log.warn("task %s timeout fired prematurely: %s > %s",
job.msg_id, job.timeout, now
)
if job.msg_id in self.queue_map:
# still waiting, but ran out of time
self.log.info("task %r timed out", job.msg_id)
self.fail_unreachable(job.msg_id, error.TaskTimeout)
def fail_unreachable(self, msg_id, why=error.ImpossibleDependency):
"""a task has become unreachable, send a reply with an ImpossibleDependency
error."""
if msg_id not in self.queue_map:
self.log.error("task %r already failed!", msg_id)
return
job = self.queue_map.pop(msg_id)
# lazy-delete from the queue
job.removed = True
for mid in job.dependents:
if mid in self.graph:
self.graph[mid].remove(msg_id)
try:
raise why()
except:
content = error.wrap_exception()
self.log.debug("task %r failing as unreachable with: %s", msg_id, content['ename'])
self.all_done.add(msg_id)
self.all_failed.add(msg_id)
msg = self.session.send(self.client_stream, 'apply_reply', content,
parent=job.header, ident=job.idents)
self.session.send(self.mon_stream, msg, ident=[b'outtask']+job.idents)
self.update_graph(msg_id, success=False)
def available_engines(self):
"""return a list of available engine indices based on HWM"""
if not self.hwm:
return list(range(len(self.targets)))
available = []
for idx in range(len(self.targets)):
if self.loads[idx] < self.hwm:
available.append(idx)
return available
def maybe_run(self, job):
"""check location dependencies, and run if they are met."""
msg_id = job.msg_id
self.log.debug("Attempting to assign task %s", msg_id)
available = self.available_engines()
if not available:
# no engines, definitely can't run
return False
if job.follow or job.targets or job.blacklist or self.hwm:
# we need a can_run filter
def can_run(idx):
# check hwm
if self.hwm and self.loads[idx] == self.hwm:
return False
target = self.targets[idx]
# check blacklist
if target in job.blacklist:
return False
# check targets
if job.targets and target not in job.targets:
return False
# check follow
return job.follow.check(self.completed[target], self.failed[target])
indices = list(filter(can_run, available))
if not indices:
# couldn't run
if job.follow.all:
# check follow for impossibility
dests = set()
relevant = set()
if job.follow.success:
relevant = self.all_completed
if job.follow.failure:
relevant = relevant.union(self.all_failed)
for m in job.follow.intersection(relevant):
dests.add(self.destinations[m])
if len(dests) > 1:
self.queue_map[msg_id] = job
self.fail_unreachable(msg_id)
return False
if job.targets:
# check blacklist+targets for impossibility
job.targets.difference_update(job.blacklist)
if not job.targets or not job.targets.intersection(self.targets):
self.queue_map[msg_id] = job
self.fail_unreachable(msg_id)
return False
return False
else:
indices = None
self.submit_task(job, indices)
return True
def save_unmet(self, job):
"""Save a message for later submission when its dependencies are met."""
msg_id = job.msg_id
self.log.debug("Adding task %s to the queue", msg_id)
self.queue_map[msg_id] = job
self.queue.append(job)
# track the ids in follow or after, but not those already finished
for dep_id in job.after.union(job.follow).difference(self.all_done):
if dep_id not in self.graph:
self.graph[dep_id] = set()
self.graph[dep_id].add(msg_id)
# schedule timeout callback
if job.timeout:
timeout_id = job.timeout_id = job.timeout_id + 1
self.loop.add_timeout(time.time() + job.timeout,
lambda : self.job_timeout(job, timeout_id)
)
def submit_task(self, job, indices=None):
"""Submit a task to any of a subset of our targets."""
if indices:
loads = [self.loads[i] for i in indices]
else:
loads = self.loads
idx = self.scheme(loads)
if indices:
idx = indices[idx]
target = self.targets[idx]
# print (target, map(str, msg[:3]))
# send job to the engine
self.engine_stream.send(target, flags=zmq.SNDMORE, copy=False)
self.engine_stream.send_multipart(job.raw_msg, copy=False)
# update load
self.add_job(idx)
self.pending[target][job.msg_id] = job
# notify Hub
content = dict(msg_id=job.msg_id, engine_id=target.decode('ascii'))
self.session.send(self.mon_stream, 'task_destination', content=content,
ident=[b'tracktask',self.ident])
#-----------------------------------------------------------------------
# Result Handling
#-----------------------------------------------------------------------
@util.log_errors
def dispatch_result(self, raw_msg):
"""dispatch method for result replies"""
try:
idents,msg = self.session.feed_identities(raw_msg, copy=False)
msg = self.session.deserialize(msg, content=False, copy=False)
engine = idents[0]
try:
idx = self.targets.index(engine)
except ValueError:
pass # skip load-update for dead engines
else:
self.finish_job(idx)
except Exception:
self.log.error("task::Invalid result: %r", raw_msg, exc_info=True)
return
md = msg['metadata']
parent = msg['parent_header']
if md.get('dependencies_met', True):
success = (md['status'] == 'ok')
msg_id = parent['msg_id']
retries = self.retries[msg_id]
if not success and retries > 0:
# failed
self.retries[msg_id] = retries - 1
self.handle_unmet_dependency(idents, parent)
else:
del self.retries[msg_id]
# relay to client and update graph
self.handle_result(idents, parent, raw_msg, success)
# send to Hub monitor
self.mon_stream.send_multipart([b'outtask']+raw_msg, copy=False)
else:
self.handle_unmet_dependency(idents, parent)
def handle_result(self, idents, parent, raw_msg, success=True):
"""handle a real task result, either success or failure"""
# first, relay result to client
engine = idents[0]
client = idents[1]
# swap_ids for ROUTER-ROUTER mirror
raw_msg[:2] = [client,engine]
# print (map(str, raw_msg[:4]))
self.client_stream.send_multipart(raw_msg, copy=False)
# now, update our data structures
msg_id = parent['msg_id']
self.pending[engine].pop(msg_id)
if success:
self.completed[engine].add(msg_id)
self.all_completed.add(msg_id)
else:
self.failed[engine].add(msg_id)
self.all_failed.add(msg_id)
self.all_done.add(msg_id)
self.destinations[msg_id] = engine
self.update_graph(msg_id, success)
def handle_unmet_dependency(self, idents, parent):
"""handle an unmet dependency"""
engine = idents[0]
msg_id = parent['msg_id']
job = self.pending[engine].pop(msg_id)
job.blacklist.add(engine)
if job.blacklist == job.targets:
self.queue_map[msg_id] = job
self.fail_unreachable(msg_id)
elif not self.maybe_run(job):
# resubmit failed
if msg_id not in self.all_failed:
# put it back in our dependency tree
self.save_unmet(job)
if self.hwm:
try:
idx = self.targets.index(engine)
except ValueError:
pass # skip load-update for dead engines
else:
if self.loads[idx] == self.hwm-1:
self.update_graph(None)
def update_graph(self, dep_id=None, success=True):
"""dep_id just finished. Update our dependency
graph and submit any jobs that just became runnable.
Called with dep_id=None to update entire graph for hwm, but without finishing a task.
"""
# print ("\n\n***********")
# pprint (dep_id)
# pprint (self.graph)
# pprint (self.queue_map)
# pprint (self.all_completed)
# pprint (self.all_failed)
# print ("\n\n***********\n\n")
# update any jobs that depended on the dependency
msg_ids = self.graph.pop(dep_id, [])
# recheck *all* jobs if
# a) we have HWM and an engine just become no longer full
# or b) dep_id was given as None
if dep_id is None or self.hwm and any( [ load==self.hwm-1 for load in self.loads ]):
jobs = self.queue
using_queue = True
else:
using_queue = False
jobs = deque(sorted( self.queue_map[msg_id] for msg_id in msg_ids ))
to_restore = []
while jobs:
job = jobs.popleft()
if job.removed:
continue
msg_id = job.msg_id
put_it_back = True
if job.after.unreachable(self.all_completed, self.all_failed)\
or job.follow.unreachable(self.all_completed, self.all_failed):
self.fail_unreachable(msg_id)
put_it_back = False
elif job.after.check(self.all_completed, self.all_failed): # time deps met, maybe run
if self.maybe_run(job):
put_it_back = False
self.queue_map.pop(msg_id)
for mid in job.dependents:
if mid in self.graph:
self.graph[mid].remove(msg_id)
# abort the loop if we just filled up all of our engines.
# avoids an O(N) operation in situation of full queue,
# where graph update is triggered as soon as an engine becomes
# non-full, and all tasks after the first are checked,
# even though they can't run.
if not self.available_engines():
break
if using_queue and put_it_back:
# popped a job from the queue but it neither ran nor failed,
# so we need to put it back when we are done
# make sure to_restore preserves the same ordering
to_restore.append(job)
# put back any tasks we popped but didn't run
if using_queue:
self.queue.extendleft(to_restore)
#----------------------------------------------------------------------
# methods to be overridden by subclasses
#----------------------------------------------------------------------
def add_job(self, idx):
"""Called after self.targets[idx] just got the job with header.
Override with subclasses. The default ordering is simple LRU.
The default loads are the number of outstanding jobs."""
self.loads[idx] += 1
for lis in (self.targets, self.loads):
lis.append(lis.pop(idx))
def finish_job(self, idx):
"""Called after self.targets[idx] just finished a job.
Override with subclasses."""
self.loads[idx] -= 1
def launch_scheduler(in_addr, out_addr, mon_addr, not_addr, reg_addr, config=None,
logname='root', log_url=None, loglevel=logging.DEBUG,
identity=b'task', in_thread=False):
ZMQStream = zmqstream.ZMQStream
if config:
# unwrap dict back into Config
config = Config(config)
if in_thread:
# use instance() to get the same Context/Loop as our parent
ctx = zmq.Context.instance()
loop = ioloop.IOLoop.instance()
else:
# in a process, don't use instance()
# for safety with multiprocessing
ctx = zmq.Context()
loop = ioloop.IOLoop()
ins = ZMQStream(ctx.socket(zmq.ROUTER),loop)
util.set_hwm(ins, 0)
ins.setsockopt(zmq.IDENTITY, identity + b'_in')
ins.bind(in_addr)
outs = ZMQStream(ctx.socket(zmq.ROUTER),loop)
util.set_hwm(outs, 0)
outs.setsockopt(zmq.IDENTITY, identity + b'_out')
outs.bind(out_addr)
mons = zmqstream.ZMQStream(ctx.socket(zmq.PUB),loop)
util.set_hwm(mons, 0)
mons.connect(mon_addr)
nots = zmqstream.ZMQStream(ctx.socket(zmq.SUB),loop)
nots.setsockopt(zmq.SUBSCRIBE, b'')
nots.connect(not_addr)
querys = ZMQStream(ctx.socket(zmq.DEALER),loop)
querys.connect(reg_addr)
# setup logging.
if in_thread:
log = Application.instance().log
else:
if log_url:
log = connect_logger(logname, ctx, log_url, root="scheduler", loglevel=loglevel)
else:
log = local_logger(logname, loglevel)
scheduler = TaskScheduler(client_stream=ins, engine_stream=outs,
mon_stream=mons, notifier_stream=nots,
query_stream=querys,
loop=loop, log=log,
config=config)
scheduler.start()
if not in_thread:
try:
loop.start()
except KeyboardInterrupt:
scheduler.log.critical("Interrupted, exiting...")