Source code for distributed.nanny

from __future__ import annotations

import asyncio
import errno
import logging
import os
import shutil
import threading
import uuid
import warnings
import weakref
from import Collection
from contextlib import suppress
from inspect import isawaitable
from queue import Empty
from time import sleep as sync_sleep
from typing import TYPE_CHECKING, ClassVar

from tornado import gen
from tornado.ioloop import IOLoop

import dask
from dask.system import CPU_COUNT
from dask.utils import parse_timedelta

from distributed import preloading
from distributed.comm import get_address_host
from distributed.comm.addressing import address_from_user_args
from distributed.core import (
from distributed.diagnostics.plugin import _get_plugin_name
from distributed.metrics import time
from distributed.node import ServerNode
from distributed.process import AsyncProcess
from distributed.proctitle import enable_proctitle_on_children
from distributed.protocol import pickle
from import Security
from distributed.utils import (
from distributed.worker import Worker, run
from distributed.worker_memory import (

    from distributed.diagnostics.plugin import NannyPlugin

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 fraction of its memory limit. The parameters for the Nanny are mostly the same as those for the Worker with exceptions listed below. Parameters ---------- env: dict, optional Environment variables set at time of Nanny initialization will be ensured to be set in the Worker process as well. This argument allows to overwrite or otherwise set environment variables for the Worker. It is also possible to set environment variables using the option `distributed.nanny.environ`. Precedence as follows 1. Nanny arguments 2. Existing environment variables 3. Dask configuration See Also -------- Worker """ _instances: ClassVar[weakref.WeakSet[Nanny]] = weakref.WeakSet() process = None memory_manager: NannyMemoryManager # Inputs to parse_ports() _given_worker_port: int | str | Collection[int] | None _start_port: int | str | Collection[int] | None def __init__( # type: ignore[no-untyped-def] self, scheduler_ip=None, scheduler_port=None, scheduler_file=None, worker_port: int | str | Collection[int] | None = 0, nthreads=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: int | str | Collection[int] | None = None, protocol=None, config=None, **worker_kwargs, ): if loop is not None: warnings.warn( "the `loop` kwarg to `Nanny` is ignored, and will be removed in a future release. " "The Nanny always binds to the current loop.", DeprecationWarning, stacklevel=2, ) self._setup_logging(logger) self.loop = self.io_loop = IOLoop.current() if isinstance(security, dict): security = Security(**security) = security or Security() assert isinstance(, Security) self.connection_args ="worker") 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() self._original_local_dir = local_directory local_directory = os.path.join(local_directory, "dask-worker-space") else: self._original_local_dir = local_directory self.local_directory = local_directory if not os.path.exists(self.local_directory): os.makedirs(self.local_directory, exist_ok=True) 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.preloads = preloading.process_preloads( self, preload_nanny, preload_nanny_argv, file_dir=self.local_directory ) 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] 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.Worker = Worker if worker_class is None else worker_class config_environ = dask.config.get("distributed.nanny.environ", {}) if not isinstance(config_environ, dict): raise TypeError( "distributed.nanny.environ configuration must be of type dict. " f"Instead got {type(config_environ)}" ) self.env = config_environ.copy() for k in self.env: if k in os.environ: self.env[k] = os.environ[k] if env: self.env.update(env) self.env = {k: str(v) for k, v in self.env.items()} self.config = config or dask.config.config worker_kwargs.update( { "port": worker_port, "interface": interface, "protocol": protocol, "host": host, } ) self.worker_kwargs = worker_kwargs self.contact_address = contact_address = services = name self.quiet = quiet 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":, "plugin_add": self.plugin_add, "plugin_remove": self.plugin_remove, } self.plugins: dict[str, NannyPlugin] = {} super().__init__(handlers=handlers, connection_args=self.connection_args) self.scheduler = self.rpc(self.scheduler_addr) self.memory_manager = NannyMemoryManager(self, memory_limit=memory_limit) 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) # Deprecated attributes; use Nanny.memory_manager.<name> instead memory_limit = DeprecatedMemoryManagerAttribute() memory_terminate_fraction = DeprecatedMemoryManagerAttribute() memory_monitor = DeprecatedMemoryMonitor() 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, stimulus_id=f"nanny-close-{time()}" ), 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
[docs] async def start_unsafe(self): """Start nanny, start local process, start watching""" await super().start_unsafe() 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 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() msg = await self.scheduler.register_nanny() for name, plugin in msg["nanny-plugins"].items(): await self.plugin_add(plugin=plugin, name=name)" Start Nanny at: %r", self.address) response = await self.instantiate() if response != Status.running: await self.close() return assert self.worker_address self.start_periodic_callbacks() return self
[docs] async def kill(self, timeout=2): """Kill the local worker process Blocks until both the process is down and the scheduler is properly informed """ if self.process is None: return "OK" deadline = time() + timeout await self.process.kill(timeout=0.8 * (deadline - time()))
[docs] async def instantiate(self) -> Status: """Start a local worker process Blocks until the process is up and the scheduler is properly informed """ if self.process is None: worker_kwargs = dict( scheduler_ip=self.scheduler_addr, nthreads=self.nthreads, local_directory=self._original_local_dir,, nanny=self.address,, memory_limit=self.memory_manager.memory_limit, 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, silence_logs=self.silence_logs, on_exit=self._on_exit_sync, worker=self.Worker, env=self.env, config=self.config, ) if self.death_timeout: try: result = await asyncio.wait_for( self.process.start(), self.death_timeout ) except TimeoutError: logger.error( "Timed out connecting Nanny '%s' to scheduler '%s'", self, self.scheduler_addr, ) await self.close(timeout=self.death_timeout) raise else: try: result = await self.process.start() except Exception: logger.error("Failed to start process", exc_info=True) await self.close() raise return result
@log_errors async def plugin_add(self, plugin=None, name=None): if isinstance(plugin, bytes): plugin = pickle.loads(plugin) if name is None: name = _get_plugin_name(plugin) assert name self.plugins[name] = plugin"Starting Nanny plugin %s" % name) if hasattr(plugin, "setup"): try: result = plugin.setup(nanny=self) if isawaitable(result): result = await result except Exception as e: msg = error_message(e) return msg if getattr(plugin, "restart", False): await self.restart() return {"status": "OK"} @log_errors async def plugin_remove(self, name=None):"Removing Nanny plugin {name}") try: plugin = self.plugins.pop(name) if hasattr(plugin, "teardown"): result = plugin.teardown(nanny=self) if isawaitable(result): result = await result except Exception as e: msg = error_message(e) return msg return {"status": "OK"} async def restart(self, timeout=30): async def _(): if self.process is not None: await self.kill() await self.instantiate() try: await asyncio.wait_for(_(), timeout) except TimeoutError: logger.error( f"Restart timed out after {timeout}s; returning before finished" ) return "timed out" else: return "OK" def is_alive(self): return self.process is not None and self.process.is_alive() def run(self, comm, *args, **kwargs): return run(self, comm, *args, **kwargs) def _on_exit_sync(self, exitcode): self._ongoing_background_tasks.call_soon(self._on_exit, exitcode) @log_errors async def _on_exit(self, exitcode): if self.status not in ( Status.init, Status.closing, Status.closed, Status.closing_gracefully, ): try: await self._unregister() except OSError: logger.exception("Failed to unregister") if not self.reconnect: await self.close() return try: if self.status not in ( Status.closing, Status.closed, Status.closing_gracefully, ): 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)
[docs] def close_gracefully(self): """ 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
[docs] async def close(self, timeout=5): """ 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_safe, ) for preload in self.preloads: await preload.teardown() teardowns = [ plugin.teardown(self) for plugin in self.plugins.values() if hasattr(plugin, "teardown") ] await asyncio.gather(*(td for td in teardowns if isawaitable(td))) 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 await super().close() return "OK"
async def _log_event(self, topic, msg): await self.scheduler.log_event( topic=topic, msg=msg, ) def log_event(self, topic, msg): self._ongoing_background_tasks.call_soon(self._log_event, topic, msg)
class WorkerProcess: running: asyncio.Event stopped: asyncio.Event # The interval how often to check the msg queue for init _init_msg_interval = 0.05 def __init__( self, worker_kwargs, silence_logs, on_exit, worker, env, config, ): self.status = Status.init self.silence_logs = silence_logs self.worker_kwargs = worker_kwargs 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 = get_mp_context().Queue() self.child_stop_q = get_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, 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() self.status = Status.failed return self.status try: msg = await self._wait_until_connected(uid) except Exception: logger.exception("Failed to connect to process") self.status = Status.failed self.process.terminate() raise 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: float = 2, executor_wait: bool = True) -> None: """ Ensure the worker process is stopped, waiting at most *timeout* seconds before terminating it abruptly. """ deadline = 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"Nanny asking worker to close") process = self.process self.child_stop_q.put( { "op": "stop", "timeout": max(0, deadline - 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 time() < deadline: await asyncio.sleep(0.05) if process.is_alive(): logger.warning( f"Worker process still alive after {timeout} seconds, killing" ) try: await process.terminate() except Exception as e: logger.error("Failed to kill worker process: %s", e) async def _wait_until_connected(self, uid): while True: if self.status != Status.starting: return # This is a multiprocessing queue and we'd block the event loop if # we simply called get try: msg = self.init_result_q.get_nowait() except Empty: await asyncio.sleep(self._init_msg_interval) 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"] ) raise msg["exception"] else: return msg @classmethod def _run( cls, worker_kwargs, silence_logs, init_result_q, child_stop_q, uid, env, config, Worker, ): # pragma: no cover try: os.environ.update(env) dask.config.set(config) from dask.multiprocessing import default_initializer default_initializer() 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( 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. """ try: msg = child_stop_q.get() except (TypeError, OSError, EOFError): logger.error("Worker process died unexpectedly") msg = {"op": "stop"} finally: child_stop_q.close() assert msg["op"] == "stop", msg del msg["op"] loop.add_callback(do_stop, **msg) thread = threading.Thread( target=watch_stop_q, name="Nanny stop queue watch" ) thread.daemon = True thread.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() # If we hit an exception here we need to wait for a least # one interval for the outside to pick up this message. # Otherwise we arrive in a race condition where the process # cleanup wipes the queue before the exception can be # properly handled. See also # WorkerProcess._wait_until_connected (the 2 is for good # measure) sync_sleep(cls._init_msg_interval * 2) 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") except Exception as e: logger.exception("Failed to initialize Worker") init_result_q.put({"uid": uid, "exception": e}) init_result_q.close() # If we hit an exception here we need to wait for a least one # interval for the outside to pick up this message. Otherwise we # arrive in a race condition where the process cleanup wipes the # queue before the exception can be properly handled. See also # WorkerProcess._wait_until_connected (the 2 is for good measure) sync_sleep(cls._init_msg_interval * 2) else: 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) finally: with suppress(ValueError): child_stop_q.put({"op": "stop"}) # usually redundant with suppress(ValueError): child_stop_q.close() # usually redundant child_stop_q.join_thread() thread.join(timeout=2)