Source code for distributed.nanny

import asyncio
from contextlib import suppress
import errno
import logging
from multiprocessing.queues import Empty
import os
import psutil
import shutil
import threading
import uuid
import warnings
import weakref

import dask
from dask.system import CPU_COUNT
from tornado.ioloop import IOLoop, PeriodicCallback
from tornado import gen

from .comm import get_address_host, unparse_host_port
from .comm.addressing import address_from_user_args
from .core import RPCClosed, CommClosedError, coerce_to_address, Status
from .metrics import time
from .node import ServerNode
from . import preloading
from .process import AsyncProcess
from .proctitle import enable_proctitle_on_children
from .security import Security
from .utils import (
from .worker import run, parse_memory_limit, Worker

logger = logging.getLogger(__name__)

[docs]class Nanny(ServerNode): """ A process to manage worker processes The nanny spins up Worker processes, watches then, and kills or restarts them as necessary. It is necessary if you want to use the ``Client.restart`` method, or to restart the worker automatically if it gets to the terminate fractiom of its memory limit. The parameters for the Nanny are mostly the same as those for the Worker. See Also -------- Worker """ _instances = weakref.WeakSet() process = None status = Status.undefined def __init__( self, scheduler_ip=None, scheduler_port=None, scheduler_file=None, worker_port=0, nthreads=None, ncores=None, loop=None, local_dir=None, local_directory=None, services=None, name=None, memory_limit="auto", reconnect=True, validate=False, quiet=False, resources=None, silence_logs=None, death_timeout=None, preload=None, preload_argv=None, preload_nanny=None, preload_nanny_argv=None, security=None, contact_address=None, listen_address=None, worker_class=None, env=None, interface=None, host=None, port=None, protocol=None, config=None, **worker_kwargs, ): self._setup_logging(logger) self.loop = loop or IOLoop.current() if isinstance(security, dict): security = Security(**security) = security or Security() assert isinstance(, Security) self.connection_args ="worker") if scheduler_file: cfg = json_load_robust(scheduler_file) self.scheduler_addr = cfg["address"] elif scheduler_ip is None and dask.config.get("scheduler-address"): self.scheduler_addr = dask.config.get("scheduler-address") elif scheduler_port is None: self.scheduler_addr = coerce_to_address(scheduler_ip) else: self.scheduler_addr = coerce_to_address((scheduler_ip, scheduler_port)) if protocol is None: protocol_address = self.scheduler_addr.split("://") if len(protocol_address) == 2: protocol = protocol_address[0] if ncores is not None: warnings.warn("the ncores= parameter has moved to nthreads=") nthreads = ncores self._given_worker_port = worker_port self.nthreads = nthreads or CPU_COUNT self.reconnect = reconnect self.validate = validate self.resources = resources self.death_timeout = parse_timedelta(death_timeout) self.preload = preload if self.preload is None: self.preload = dask.config.get("distributed.worker.preload") self.preload_argv = preload_argv if self.preload_argv is None: self.preload_argv = dask.config.get("distributed.worker.preload-argv") if preload_nanny is None: preload_nanny = dask.config.get("distributed.nanny.preload") if preload_nanny_argv is None: preload_nanny_argv = dask.config.get("distributed.nanny.preload-argv") self.Worker = Worker if worker_class is None else worker_class self.env = env or {} self.config = config or {} worker_kwargs.update( { "port": worker_port, "interface": interface, "protocol": protocol, "host": host, } ) self.worker_kwargs = worker_kwargs self.contact_address = contact_address self.memory_terminate_fraction = dask.config.get( "distributed.worker.memory.terminate" ) if local_dir is not None: warnings.warn("The local_dir keyword has moved to local_directory") local_directory = local_dir if local_directory is None: local_directory = dask.config.get("temporary-directory") or os.getcwd() if not os.path.exists(local_directory): os.makedirs(local_directory) local_directory = os.path.join(local_directory, "dask-worker-space") self.local_directory = local_directory self.preloads = preloading.process_preloads( self, preload_nanny, preload_nanny_argv, file_dir=self.local_directory ) = services = name self.quiet = quiet self.auto_restart = True self.memory_limit = parse_memory_limit(memory_limit, self.nthreads) if silence_logs: silence_logging(level=silence_logs) self.silence_logs = silence_logs handlers = { "instantiate": self.instantiate, "kill": self.kill, "restart": self.restart, # cannot call it 'close' on the rpc side for naming conflict "get_logs": self.get_logs, "terminate": self.close, "close_gracefully": self.close_gracefully, "run":, } super(Nanny, self).__init__( handlers=handlers, io_loop=self.loop, connection_args=self.connection_args ) self.scheduler = self.rpc(self.scheduler_addr) if self.memory_limit: pc = PeriodicCallback(self.memory_monitor, 100) self.periodic_callbacks["memory"] = pc if ( not host and not interface and not self.scheduler_addr.startswith("inproc://") ): host = get_ip(get_address_host(self.scheduler.address)) self._start_port = port self._start_host = host self._interface = interface self._protocol = protocol self._listen_address = listen_address Nanny._instances.add(self) self.status = Status.init def __repr__(self): return "<Nanny: %s, threads: %d>" % (self.worker_address, self.nthreads) async def _unregister(self, timeout=10): if self.process is None: return worker_address = self.process.worker_address if worker_address is None: return allowed_errors = (TimeoutError, CommClosedError, EnvironmentError, RPCClosed) with suppress(allowed_errors): await asyncio.wait_for( self.scheduler.unregister(address=self.worker_address), timeout ) @property def worker_address(self): return None if self.process is None else self.process.worker_address @property def worker_dir(self): return None if self.process is None else self.process.worker_dir @property def local_dir(self): """ For API compatibility with Nanny """ warnings.warn("The local_dir attribute has moved to local_directory") return self.local_directory async def start(self): """ Start nanny, start local process, start watching """ await super().start() ports = parse_ports(self._start_port) for port in ports: start_address = address_from_user_args( host=self._start_host, port=port, interface=self._interface, protocol=self._protocol,, ) try: await self.listen( start_address, **"worker") ) except OSError as e: if len(ports) > 1 and e.errno == errno.EADDRINUSE: continue else: raise e else: self._start_address = start_address break else: raise ValueError( f"Could not start Nanny on host {self._start_host}" f"with port {self._start_port}" ) self.ip = get_address_host(self.address) for preload in self.preloads: await preload.start()" Start Nanny at: %r", self.address) response = await self.instantiate() if response == Status.running: assert self.worker_address self.status = Status.running else: await self.close() self.start_periodic_callbacks() return self async def kill(self, comm=None, timeout=2): """ Kill the local worker process Blocks until both the process is down and the scheduler is properly informed """ self.auto_restart = False if self.process is None: return "OK" deadline = self.loop.time() + timeout await self.process.kill(timeout=0.8 * (deadline - self.loop.time())) async def instantiate(self, comm=None) -> Status: """ Start a local worker process Blocks until the process is up and the scheduler is properly informed """ if self._listen_address: start_arg = self._listen_address else: host = self.listener.bound_address[0] start_arg = self.listener.prefix + unparse_host_port( host, self._given_worker_port ) if self.process is None: worker_kwargs = dict( scheduler_ip=self.scheduler_addr, nthreads=self.nthreads, local_directory=self.local_directory,, nanny=self.address,, memory_limit=self.memory_limit, reconnect=self.reconnect, resources=self.resources, validate=self.validate, silence_logs=self.silence_logs, death_timeout=self.death_timeout, preload=self.preload, preload_argv=self.preload_argv,, contact_address=self.contact_address, ) worker_kwargs.update(self.worker_kwargs) self.process = WorkerProcess( worker_kwargs=worker_kwargs, worker_start_args=(start_arg,), silence_logs=self.silence_logs, on_exit=self._on_exit_sync, worker=self.Worker, env=self.env, config=self.config, ) self.auto_restart = True if self.death_timeout: try: result = await asyncio.wait_for( self.process.start(), self.death_timeout ) except TimeoutError: await self.close(timeout=self.death_timeout) logger.error( "Timed out connecting Nanny '%s' to scheduler '%s'", self, self.scheduler_addr, ) raise else: result = await self.process.start() return result async def restart(self, comm=None, timeout=2, executor_wait=True): start = time() async def _(): if self.process is not None: await self.kill() await self.instantiate() try: await asyncio.wait_for(_(), timeout) except TimeoutError: logger.error("Restart timed out, returning before finished") return "timed out" else: return "OK" @property def _psutil_process(self): pid = try: proc = self._psutil_process_obj except AttributeError: self._psutil_process_obj = psutil.Process(pid) if != pid: self._psutil_process_obj = psutil.Process(pid) return self._psutil_process_obj def memory_monitor(self): """ Track worker's memory. Restart if it goes above terminate fraction """ if self.status != Status.running: return process = self.process.process if process is None: return try: proc = self._psutil_process memory = proc.memory_info().rss except (ProcessLookupError, psutil.NoSuchProcess, psutil.AccessDenied): return frac = memory / self.memory_limit if self.memory_terminate_fraction and frac > self.memory_terminate_fraction: logger.warning( "Worker exceeded %d%% memory budget. Restarting", 100 * self.memory_terminate_fraction, ) process.terminate() def is_alive(self): return self.process is not None and self.process.is_alive() def run(self, *args, **kwargs): return run(self, *args, **kwargs) def _on_exit_sync(self, exitcode): self.loop.add_callback(self._on_exit, exitcode) async def _on_exit(self, exitcode): if self.status not in (Status.closing, Status.closed): try: await self.scheduler.unregister(address=self.worker_address) except (EnvironmentError, CommClosedError): if not self.reconnect: await self.close() return try: if self.status not in ( Status.closing, Status.closed, Status.closing_gracefully, ): if self.auto_restart: logger.warning("Restarting worker") await self.instantiate() elif self.status == Status.closing_gracefully: await self.close() except Exception: logger.error( "Failed to restart worker after its process exited", exc_info=True ) @property def pid(self): return self.process and def _close(self, *args, **kwargs): warnings.warn("Worker._close has moved to Worker.close", stacklevel=2) return self.close(*args, **kwargs) def close_gracefully(self, comm=None): """ A signal that we shouldn't try to restart workers if they go away This is used as part of the cluster shutdown process. """ self.status = Status.closing_gracefully async def close(self, comm=None, timeout=5, report=None): """ Close the worker process, stop all comms. """ if self.status == Status.closing: await self.finished() assert self.status == Status.closed if self.status == Status.closed: return "OK" self.status = Status.closing"Closing Nanny at %r", self.address) for preload in self.preloads: await preload.teardown() self.stop() try: if self.process is not None: await self.kill(timeout=timeout) except Exception: pass self.process = None await self.rpc.close() self.status = Status.closed if comm: await comm.write("OK") await ServerNode.close(self)
class WorkerProcess: def __init__( self, worker_kwargs, worker_start_args, silence_logs, on_exit, worker, env, config, ): self.status = Status.init self.silence_logs = silence_logs self.worker_kwargs = worker_kwargs self.worker_start_args = worker_start_args self.on_exit = on_exit self.process = None self.Worker = worker self.env = env self.config = config # Initialized when worker is ready self.worker_dir = None self.worker_address = None async def start(self) -> Status: """ Ensure the worker process is started. """ enable_proctitle_on_children() if self.status == Status.running: return self.status if self.status == Status.starting: await self.running.wait() return self.status self.init_result_q = init_q = mp_context.Queue() self.child_stop_q = mp_context.Queue() uid = uuid.uuid4().hex self.process = AsyncProcess( target=self._run, name="Dask Worker process (from Nanny)", kwargs=dict( worker_kwargs=self.worker_kwargs, worker_start_args=self.worker_start_args, silence_logs=self.silence_logs, init_result_q=self.init_result_q, child_stop_q=self.child_stop_q, uid=uid, Worker=self.Worker, env=self.env, config=self.config, ), ) self.process.daemon = dask.config.get("distributed.worker.daemon", default=True) self.process.set_exit_callback(self._on_exit) self.running = asyncio.Event() self.stopped = asyncio.Event() self.status = Status.starting try: await self.process.start() except OSError: logger.exception("Nanny failed to start process", exc_info=True) self.process.terminate() return msg = await self._wait_until_connected(uid) if not msg: return self.status self.worker_address = msg["address"] self.worker_dir = msg["dir"] assert self.worker_address self.status = Status.running self.running.set() init_q.close() return self.status def _on_exit(self, proc): if proc is not self.process: # Ignore exit of old process instance return self.mark_stopped() def _death_message(self, pid, exitcode): assert exitcode is not None if exitcode == 255: return "Worker process %d was killed by unknown signal" % (pid,) elif exitcode >= 0: return "Worker process %d exited with status %d" % (pid, exitcode) else: return "Worker process %d was killed by signal %d" % (pid, -exitcode) def is_alive(self): return self.process is not None and self.process.is_alive() @property def pid(self): return if self.process and self.process.is_alive() else None def mark_stopped(self): if self.status != Status.stopped: r = self.process.exitcode assert r is not None if r != 0: msg = self._death_message(, r) self.status = Status.stopped self.stopped.set() # Release resources self.process.close() self.init_result_q = None self.child_stop_q = None self.process = None # Best effort to clean up worker directory if self.worker_dir and os.path.exists(self.worker_dir): shutil.rmtree(self.worker_dir, ignore_errors=True) self.worker_dir = None # User hook if self.on_exit is not None: self.on_exit(r) async def kill(self, timeout=2, executor_wait=True): """ Ensure the worker process is stopped, waiting at most *timeout* seconds before terminating it abruptly. """ loop = IOLoop.current() deadline = loop.time() + timeout if self.status == Status.stopped: return if self.status == Status.stopping: await self.stopped.wait() return assert self.status in (Status.starting, Status.running) self.status = Status.stopping process = self.process self.child_stop_q.put( { "op": "stop", "timeout": max(0, deadline - loop.time()) * 0.8, "executor_wait": executor_wait, } ) await asyncio.sleep(0) # otherwise we get broken pipe errors self.child_stop_q.close() while process.is_alive() and loop.time() < deadline: await asyncio.sleep(0.05) if process.is_alive(): logger.warning( "Worker process still alive after %d seconds, killing", timeout ) try: await process.terminate() except Exception as e: logger.error("Failed to kill worker process: %s", e) async def _wait_until_connected(self, uid): delay = 0.05 while True: if self.status != Status.starting: return try: msg = self.init_result_q.get_nowait() except Empty: await asyncio.sleep(delay) continue if msg["uid"] != uid: # ensure that we didn't cross queues continue if "exception" in msg: logger.error( "Failed while trying to start worker process: %s", msg["exception"] ) await self.process.join() raise msg["exception"] else: return msg @classmethod def _run( cls, worker_kwargs, worker_start_args, silence_logs, init_result_q, child_stop_q, uid, env, config, Worker, ): # pragma: no cover os.environ.update(env) dask.config.set(config) try: from dask.multiprocessing import initialize_worker_process except ImportError: # old Dask version pass else: initialize_worker_process() if silence_logs: logger.setLevel(silence_logs) IOLoop.clear_instance() loop = IOLoop() loop.make_current() worker = Worker(**worker_kwargs) async def do_stop(timeout=5, executor_wait=True): try: await worker.close( report=False, nanny=False, executor_wait=executor_wait, timeout=timeout, ) finally: loop.stop() def watch_stop_q(): """ Wait for an incoming stop message and then stop the worker cleanly. """ while True: try: msg = child_stop_q.get(timeout=1000) except Empty: pass else: child_stop_q.close() assert msg.pop("op") == "stop" loop.add_callback(do_stop, **msg) break t = threading.Thread(target=watch_stop_q, name="Nanny stop queue watch") t.daemon = True t.start() async def run(): """ Try to start worker and inform parent of outcome. """ try: await worker except Exception as e: logger.exception("Failed to start worker") init_result_q.put({"uid": uid, "exception": e}) init_result_q.close() else: try: assert worker.address except ValueError: pass else: init_result_q.put( { "address": worker.address, "dir": worker.local_directory, "uid": uid, } ) init_result_q.close() await worker.finished()"Worker closed") try: loop.run_sync(run) except (TimeoutError, gen.TimeoutError): # Loop was stopped before wait_until_closed() returned, ignore pass except KeyboardInterrupt: # At this point the loop is not running thus we have to run # do_stop() explicitly. loop.run_sync(do_stop)