class BaseExecutor(ABC):
def __init__(self, *, title=''):
self.title = title
- self.task_count = 0
self.histogram = hist.SimpleHistogram(
hist.SimpleHistogram.n_evenly_spaced_buckets(int(0), int(500), 50)
)
+ self.task_count = 0
@abstractmethod
def submit(self, function: Callable, *args, **kwargs) -> fut.Future:
pass
def adjust_task_count(self, delta: int) -> None:
+ """Change the task count. Note: do not call this method from a
+ worker, it should only be called by the launcher process /
+ thread / machine.
+
+ """
self.task_count += delta
+ print(f'(adjusted task count by {delta} to {self.task_count})')
logger.debug(f'Executor current task count is {self.task_count}')
+ def get_task_count(self) -> int:
+ """Change the task count. Note: do not call this method from a
+ worker, it should only be called by the launcher process /
+ thread / machine.
+
+ """
+ return self.task_count
+
class ThreadExecutor(BaseExecutor):
def __init__(self, max_workers: Optional[int] = None):
max_workers=workers, thread_name_prefix="thread_executor_helper"
)
+ # This is run on a different thread; do not adjust task count here.
def run_local_bundle(self, fun, *args, **kwargs):
logger.debug(f"Running local bundle at {fun.__name__}")
- start = time.time()
result = fun(*args, **kwargs)
- end = time.time()
- self.adjust_task_count(-1)
- duration = end - start
- logger.debug(f"{fun.__name__} finished; used {duration:.1f}s")
- self.histogram.add_item(duration)
return result
@overrides
newargs.append(function)
for arg in args:
newargs.append(arg)
- return self._thread_pool_executor.submit(
+ start = time.time()
+ result = self._thread_pool_executor.submit(
self.run_local_bundle, *newargs, **kwargs
)
+ result.add_done_callback(lambda _: self.histogram.add_item(time.time() - start))
+ result.add_done_callback(lambda _: self.adjust_task_count(-1))
@overrides
def shutdown(self, wait=True) -> None:
max_workers=workers,
)
+ # This is run in another process; do not adjust task count here.
def run_cloud_pickle(self, pickle):
fun, args, kwargs = cloudpickle.loads(pickle)
logger.debug(f"Running pickled bundle at {fun.__name__}")
result = fun(*args, **kwargs)
- self.adjust_task_count(-1)
return result
@overrides
pickle = make_cloud_pickle(function, *args, **kwargs)
result = self._process_executor.submit(self.run_cloud_pickle, pickle)
result.add_done_callback(lambda _: self.histogram.add_item(time.time() - start))
+ result.add_done_callback(lambda _: self.adjust_task_count(-1))
return result
@overrides
def acquire_worker(self, machine_to_avoid=None) -> Optional[RemoteWorkerRecord]:
grabbag = []
for worker in self.workers:
- for x in range(0, worker.count):
- for y in range(0, worker.weight):
- grabbag.append(worker)
-
- for _ in range(0, 5):
- random.shuffle(grabbag)
- worker = grabbag[0]
- if worker.machine != machine_to_avoid or _ > 2:
+ if worker.machine != machine_to_avoid:
if worker.count > 0:
- worker.count -= 1
- logger.debug(f'Selected worker {worker}')
- return worker
- msg = 'Unexpectedly could not find a worker, retrying...'
- logger.warning(msg)
- return None
+ for _ in range(worker.count * worker.weight):
+ grabbag.append(worker)
+
+ if len(grabbag) == 0:
+ logger.debug(
+ f'There are no available workers that avoid {machine_to_avoid}...'
+ )
+ for worker in self.workers:
+ if worker.count > 0:
+ for _ in range(worker.count * worker.weight):
+ grabbag.append(worker)
+
+ if len(grabbag) == 0:
+ logger.warning('There are no available workers?!')
+ return None
+
+ worker = random.sample(grabbag, 1)[0]
+ assert worker.count > 0
+ worker.count -= 1
+ logger.debug(f'Chose worker {worker}')
+ return worker
class RoundRobinRemoteWorkerSelectionPolicy(RemoteWorkerSelectionPolicy):
class RemoteExecutor(BaseExecutor):
def __init__(
- self, workers: List[RemoteWorkerRecord], policy: RemoteWorkerSelectionPolicy
+ self,
+ workers: List[RemoteWorkerRecord],
+ policy: RemoteWorkerSelectionPolicy,
) -> None:
super().__init__()
self.workers = workers
) = self.run_periodic_heartbeat()
@background_thread
- def run_periodic_heartbeat(self, stop_event) -> None:
+ def run_periodic_heartbeat(self, stop_event: threading.Event) -> None:
while not stop_event.is_set():
time.sleep(5.0)
logger.debug('Running periodic heartbeat code...')
logger.debug('Periodic heartbeat thread shutting down.')
def heartbeat(self) -> None:
+ # Note: this is invoked on a background thread, not an
+ # executor thread. Be careful what you do with it b/c it
+ # needs to get back and dump status again periodically.
with self.status.lock:
- # Dump regular progress report
self.status.periodic_dump(self.total_bundles_submitted)
# Look for bundles to reschedule via executor.submit
if (
num_done > 2
and num_idle_workers > 1
- and (self.last_backup is None or (now - self.last_backup > 6.0))
+ and (self.last_backup is None or (now - self.last_backup > 9.0))
and self.backup_lock.acquire(blocking=False)
):
try:
RemoteWorkerRecord(
username='scott',
machine='cheetah.house',
- weight=34,
+ weight=30,
count=6,
),
)
RemoteWorkerRecord(
username='scott',
machine='puma.cabin',
- weight=25,
+ weight=30,
count=6,
),
)
RemoteWorkerRecord(
username='scott',
machine='backup.house',
- weight=7,
+ weight=8,
count=2,
),
)
projects / python_utils.git / blobdiff