def _load_actor_class_from_gcs(self, job_id,
actor_creation_function_descriptor):
"""Load actor class from GCS."""
key = (b"ActorClass:" + job_id.binary() + b":" +
actor_creation_function_descriptor.function_id.binary())
# Wait for the actor class key to have been imported by the
# import thread. TODO(rkn): It shouldn't be possible to end
# up in an infinite loop here, but we should push an error to
# the driver if too much time is spent here.
while key not in self.imported_actor_classes:
try:
# If we're in the process of deserializing an ActorHandle
# and we hold the function_manager lock, we may be blocking
# the import_thread from loading the actor class. Use cv.wait
# to temporarily yield control to the import thread.
self.cv.wait()
except RuntimeError:
# We don't hold the function_manager lock, just sleep regularly
time.sleep(0.001)
# Fetch raw data from GCS.
vals = self._worker.gcs_client.internal_kv_get(
key, KV_NAMESPACE_FUNCTION_TABLE)
fields = [
"job_id", "class_name", "module", "class", "actor_method_names"
]
if vals is None:
vals = {}
else:
vals = pickle.loads(vals)
(job_id_str, class_name, module, pickled_class,
actor_method_names) = (vals.get(field) for field in fields)
class_name = ensure_str(class_name)
module_name = ensure_str(module)
job_id = ray.JobID(job_id_str)
actor_method_names = json.loads(ensure_str(actor_method_names))
actor_class = None
try:
with self.lock:
actor_class = pickle.loads(pickled_class)
except Exception:
logger.debug("Failed to load actor class %s.", class_name)
# If an exception was thrown when the actor was imported, we record
# the traceback and notify the scheduler of the failure.
traceback_str = format_error_message(traceback.format_exc())
# The actor class failed to be unpickled, create a fake actor
# class instead (just to produce error messages and to prevent
# the driver from hanging).
actor_class = self._create_fake_actor_class(
class_name, actor_method_names, traceback_str)
# The below line is necessary. Because in the driver process,
# if the function is defined in the file where the python script
# was started from, its module is `__main__`.
# However in the worker process, the `__main__` module is a
# different module, which is `default_worker.py`
actor_class.__module__ = module_name
return actor_class
def _load_actor_class_from_gcs(self, job_id,
actor_creation_function_descriptor):
"""Load actor class from GCS."""
key = (b"ActorClass:" + job_id.binary() + b":" +
actor_creation_function_descriptor.function_id.binary())
# Wait for the actor class key to have been imported by the
# import thread. TODO(rkn): It shouldn't be possible to end
# up in an infinite loop here, but we should push an error to
# the driver if too much time is spent here.
while key not in self.imported_actor_classes:
time.sleep(0.001)
# Fetch raw data from GCS.
(job_id_str, class_name, module, pickled_class,
actor_method_names) = self._worker.redis_client.hmget(
key,
["job_id", "class_name", "module", "class", "actor_method_names"])
class_name = ensure_str(class_name)
module_name = ensure_str(module)
job_id = ray.JobID(job_id_str)
actor_method_names = json.loads(ensure_str(actor_method_names))
actor_class = None
try:
with self.lock:
actor_class = pickle.loads(pickled_class)
except Exception:
logger.exception("Failed to load actor class %s.", class_name)
# The actor class failed to be unpickled, create a fake actor
# class instead (just to produce error messages and to prevent
# the driver from hanging).
actor_class = self._create_fake_actor_class(
class_name, actor_method_names)
# If an exception was thrown when the actor was imported, we record
# the traceback and notify the scheduler of the failure.
traceback_str = ray._private.utils.format_error_message(
traceback.format_exc())
# Log the error message.
push_error_to_driver(
self._worker,
ray_constants.REGISTER_ACTOR_PUSH_ERROR,
f"Failed to unpickle actor class '{class_name}' "
f"for actor ID {self._worker.actor_id.hex()}. "
f"Traceback:\n{traceback_str}",
job_id=job_id)
# TODO(rkn): In the future, it might make sense to have the worker
# exit here. However, currently that would lead to hanging if
# someone calls ray.get on a method invoked on the actor.
# The below line is necessary. Because in the driver process,
# if the function is defined in the file where the python script
# was started from, its module is `__main__`.
# However in the worker process, the `__main__` module is a
# different module, which is `default_worker.py`
actor_class.__module__ = module_name
return actor_class
def _load_actor_class_from_gcs(self, job_id,
actor_creation_function_descriptor):
"""Load actor class from GCS."""
key = make_function_table_key(
b"ActorClass",
job_id,
actor_creation_function_descriptor.function_id.binary(),
)
# Fetch raw data from GCS.
vals = self._worker.gcs_client.internal_kv_get(
key, KV_NAMESPACE_FUNCTION_TABLE)
fields = [
"job_id", "class_name", "module", "class", "actor_method_names"
]
if vals is None:
vals = {}
else:
vals = pickle.loads(vals)
(job_id_str, class_name, module, pickled_class,
actor_method_names) = (vals.get(field) for field in fields)
class_name = ensure_str(class_name)
module_name = ensure_str(module)
job_id = ray.JobID(job_id_str)
actor_method_names = json.loads(ensure_str(actor_method_names))
actor_class = None
try:
with self.lock:
actor_class = pickle.loads(pickled_class)
except Exception:
logger.debug("Failed to load actor class %s.", class_name)
# If an exception was thrown when the actor was imported, we record
# the traceback and notify the scheduler of the failure.
traceback_str = format_error_message(traceback.format_exc())
# The actor class failed to be unpickled, create a fake actor
# class instead (just to produce error messages and to prevent
# the driver from hanging).
actor_class = self._create_fake_actor_class(
class_name, actor_method_names, traceback_str)
# The below line is necessary. Because in the driver process,
# if the function is defined in the file where the python script
# was started from, its module is `__main__`.
# However in the worker process, the `__main__` module is a
# different module, which is `default_worker.py`
actor_class.__module__ = module_name
return actor_class