def _deserialize_actor_died_error(self, data, metadata_fields):
if not data:
return RayActorError()
ray_error_info = self._deserialize_error_info(data, metadata_fields)
assert ray_error_info.HasField("actor_died_error")
if ray_error_info.actor_died_error.HasField("creation_task_failure_context"):
return RayError.from_ray_exception(
ray_error_info.actor_died_error.creation_task_failure_context
)
else:
assert ray_error_info.actor_died_error.HasField("actor_died_error_context")
return RayActorError(
cause=ray_error_info.actor_died_error.actor_died_error_context
)
def _deserialize_object(self, data, metadata, object_ref):
if metadata:
metadata_fields = metadata.split(b",")
if metadata_fields[0] in [
ray_constants.OBJECT_METADATA_TYPE_CROSS_LANGUAGE,
ray_constants.OBJECT_METADATA_TYPE_PYTHON
]:
return self._deserialize_msgpack_data(data, metadata_fields)
# Check if the object should be returned as raw bytes.
if metadata_fields[0] == ray_constants.OBJECT_METADATA_TYPE_RAW:
if data is None:
return b""
return data.to_pybytes()
elif metadata_fields[
0] == ray_constants.OBJECT_METADATA_TYPE_ACTOR_HANDLE:
obj = self._deserialize_msgpack_data(data, metadata_fields)
return _actor_handle_deserializer(obj)
# Otherwise, return an exception object based on
# the error type.
try:
error_type = int(metadata_fields[0])
except Exception:
raise Exception(f"Can't deserialize object: {object_ref}, "
f"metadata: {metadata}")
# RayTaskError is serialized with pickle5 in the data field.
# TODO (kfstorm): exception serialization should be language
# independent.
if error_type == ErrorType.Value("TASK_EXECUTION_EXCEPTION"):
obj = self._deserialize_msgpack_data(data, metadata_fields)
return RayError.from_bytes(obj)
elif error_type == ErrorType.Value("WORKER_DIED"):
return WorkerCrashedError()
elif error_type == ErrorType.Value("ACTOR_DIED"):
if data:
pb_bytes = self._deserialize_msgpack_data(
data, metadata_fields)
if pb_bytes:
return RayError.from_bytes(pb_bytes)
return RayActorError()
elif error_type == ErrorType.Value("TASK_CANCELLED"):
return TaskCancelledError()
elif error_type == ErrorType.Value("OBJECT_UNRECONSTRUCTABLE"):
return ObjectLostError(object_ref.hex(),
object_ref.call_site())
elif error_type == ErrorType.Value("RUNTIME_ENV_SETUP_FAILED"):
return RuntimeEnvSetupError()
else:
assert error_type != ErrorType.Value("OBJECT_IN_PLASMA"), \
"Tried to get object that has been promoted to plasma."
assert False, "Unrecognized error type " + str(error_type)
elif data:
raise ValueError("non-null object should always have metadata")
else:
# Object isn't available in plasma. This should never be returned
# to the user. We should only reach this line if this object was
# deserialized as part of a list, and another object in the list
# throws an exception.
return PlasmaObjectNotAvailable
def _deserialize_actor_died_error(self, data, metadata_fields):
if not data:
return RayActorError()
pb_bytes = self._deserialize_msgpack_data(data, metadata_fields)
assert pb_bytes
ray_error_info = RayErrorInfo()
ray_error_info.ParseFromString(pb_bytes)
assert ray_error_info.HasField("actor_died_error")
if ray_error_info.actor_died_error.HasField(
"creation_task_failure_context"):
return RayError.from_ray_exception(
ray_error_info.actor_died_error.creation_task_failure_context)
else:
assert ray_error_info.actor_died_error.HasField(
"actor_died_error_context")
return RayActorError(
cause=ray_error_info.actor_died_error.actor_died_error_context)
def _deserialize_object(self, data, metadata, object_id):
if metadata:
if metadata == ray_constants.PICKLE5_BUFFER_METADATA:
if not self.use_pickle:
raise ValueError("Receiving pickle5 serialized objects "
"while the serialization context is "
"using pyarrow as the backend.")
try:
in_band, buffers = unpack_pickle5_buffers(data)
if len(buffers) > 0:
obj = pickle.loads(in_band, buffers=buffers)
else:
obj = pickle.loads(in_band)
# cloudpickle does not provide error types
except pickle.pickle.PicklingError:
raise DeserializationError()
# Check that there are no ObjectIDs serialized in arguments
# that are inlined.
if object_id.is_nil():
assert len(self.get_and_clear_contained_object_ids()) == 0
else:
worker = ray.worker.global_worker
worker.core_worker.add_contained_object_ids(
object_id,
self.get_and_clear_contained_object_ids(),
)
return obj
# Check if the object should be returned as raw bytes.
if metadata == ray_constants.RAW_BUFFER_METADATA:
if data is None:
return b""
return data.to_pybytes()
# Otherwise, return an exception object based on
# the error type.
error_type = int(metadata)
if error_type == ErrorType.Value("WORKER_DIED"):
return RayWorkerError()
elif error_type == ErrorType.Value("ACTOR_DIED"):
return RayActorError()
elif error_type == ErrorType.Value("OBJECT_UNRECONSTRUCTABLE"):
return UnreconstructableError(ray.ObjectID(object_id.binary()))
else:
assert error_type != ErrorType.Value("OBJECT_IN_PLASMA"), \
"Tried to get object that has been promoted to plasma."
assert False, "Unrecognized error type " + str(error_type)
elif data:
raise ValueError("non-null object should always have metadata")
else:
# Object isn't available in plasma. This should never be returned
# to the user. We should only reach this line if this object was
# deserialized as part of a list, and another object in the list
# throws an exception.
return plasma.ObjectNotAvailable
def _deserialize_object_from_arrow(self, data, metadata, object_id):
if metadata:
if metadata == ray_constants.PICKLE5_BUFFER_METADATA:
if not self.use_pickle:
raise ValueError("Receiving pickle5 serialized objects "
"while the serialization context is "
"using pyarrow as the backend.")
try:
in_band, buffers = unpack_pickle5_buffers(data)
if len(buffers) > 0:
return pickle.loads(in_band, buffers=buffers)
else:
return pickle.loads(in_band)
# cloudpickle does not provide error types
except pickle.pickle.PicklingError:
raise DeserializationError()
# Check if the object should be returned as raw bytes.
if metadata == ray_constants.RAW_BUFFER_METADATA:
if data is None:
return b""
return data.to_pybytes()
# Otherwise, return an exception object based on
# the error type.
error_type = int(metadata)
if error_type == ErrorType.Value("WORKER_DIED"):
return RayWorkerError()
elif error_type == ErrorType.Value("ACTOR_DIED"):
return RayActorError()
elif error_type == ErrorType.Value("OBJECT_UNRECONSTRUCTABLE"):
return UnreconstructableError(ray.ObjectID(object_id.binary()))
else:
assert error_type != ErrorType.Value("OBJECT_IN_PLASMA"), \
"Tried to get object that has been promoted to plasma."
assert False, "Unrecognized error type " + str(error_type)
elif data:
if self.use_pickle:
raise ValueError("Receiving plasma serialized objects "
"while the serialization context is "
"using pickle5 as the backend.")
try:
# If data is not empty, deserialize the object.
return pyarrow.deserialize(data, self.pyarrow_context)
except pyarrow.DeserializationCallbackError:
raise DeserializationError()
else:
# Object isn't available in plasma. This should never be returned
# to the user. We should only reach this line if this object was
# deserialized as part of a list, and another object in the list
# throws an exception.
return plasma.ObjectNotAvailable
def _deserialize_object(self, data, metadata, object_ref):
if metadata:
if metadata in [
ray_constants.OBJECT_METADATA_TYPE_CROSS_LANGUAGE,
ray_constants.OBJECT_METADATA_TYPE_PYTHON
]:
return self._deserialize_msgpack_data(data, metadata)
# Check if the object should be returned as raw bytes.
if metadata == ray_constants.OBJECT_METADATA_TYPE_RAW:
if data is None:
return b""
return data.to_pybytes()
# Otherwise, return an exception object based on
# the error type.
try:
error_type = int(metadata)
except Exception:
raise Exception(
"Can't deserialize object: {}, metadata: {}".format(
object_ref, metadata))
# RayTaskError is serialized with pickle5 in the data field.
# TODO (kfstorm): exception serialization should be language
# independent.
if error_type == ErrorType.Value("TASK_EXECUTION_EXCEPTION"):
obj = self._deserialize_msgpack_data(data, metadata)
assert isinstance(obj, RayTaskError)
return obj
elif error_type == ErrorType.Value("WORKER_DIED"):
return RayWorkerError()
elif error_type == ErrorType.Value("ACTOR_DIED"):
return RayActorError()
elif error_type == ErrorType.Value("TASK_CANCELLED"):
return RayCancellationError()
elif error_type == ErrorType.Value("OBJECT_UNRECONSTRUCTABLE"):
return UnreconstructableError(
ray.ObjectRef(object_ref.binary()))
else:
assert error_type != ErrorType.Value("OBJECT_IN_PLASMA"), \
"Tried to get object that has been promoted to plasma."
assert False, "Unrecognized error type " + str(error_type)
elif data:
raise ValueError("non-null object should always have metadata")
else:
# Object isn't available in plasma. This should never be returned
# to the user. We should only reach this line if this object was
# deserialized as part of a list, and another object in the list
# throws an exception.
return PlasmaObjectNotAvailable
def _deserialize_object(self, data, metadata, object_ref):
if metadata:
metadata_fields = metadata.split(b",")
if metadata_fields[0] in [
ray_constants.OBJECT_METADATA_TYPE_CROSS_LANGUAGE,
ray_constants.OBJECT_METADATA_TYPE_PYTHON
]:
return self._deserialize_msgpack_data(data, metadata_fields)
# Check if the object should be returned as raw bytes.
if metadata_fields[0] == ray_constants.OBJECT_METADATA_TYPE_RAW:
if data is None:
return b""
return data.to_pybytes()
elif metadata_fields[
0] == ray_constants.OBJECT_METADATA_TYPE_ACTOR_HANDLE:
obj = self._deserialize_msgpack_data(data, metadata_fields)
return _actor_handle_deserializer(obj)
# Otherwise, return an exception object based on
# the error type.
try:
error_type = int(metadata_fields[0])
except Exception:
raise Exception(f"Can't deserialize object: {object_ref}, "
f"metadata: {metadata}")
# RayTaskError is serialized with pickle5 in the data field.
# TODO (kfstorm): exception serialization should be language
# independent.
if error_type == ErrorType.Value("TASK_EXECUTION_EXCEPTION"):
obj = self._deserialize_msgpack_data(data, metadata_fields)
return RayError.from_bytes(obj)
elif error_type == ErrorType.Value("WORKER_DIED"):
return WorkerCrashedError()
elif error_type == ErrorType.Value("ACTOR_DIED"):
if data:
pb_bytes = self._deserialize_msgpack_data(
data, metadata_fields)
if pb_bytes:
return RayError.from_bytes(pb_bytes)
return RayActorError()
elif error_type == ErrorType.Value("LOCAL_RAYLET_DIED"):
return LocalRayletDiedError()
elif error_type == ErrorType.Value("TASK_CANCELLED"):
return TaskCancelledError()
elif error_type == ErrorType.Value("OBJECT_LOST"):
return ObjectLostError(object_ref.hex(),
object_ref.owner_address(),
object_ref.call_site())
elif error_type == ErrorType.Value("OBJECT_FETCH_TIMED_OUT"):
return ObjectFetchTimedOutError(object_ref.hex(),
object_ref.owner_address(),
object_ref.call_site())
elif error_type == ErrorType.Value("OBJECT_DELETED"):
return ReferenceCountingAssertionError(
object_ref.hex(), object_ref.owner_address(),
object_ref.call_site())
elif error_type == ErrorType.Value("OWNER_DIED"):
return OwnerDiedError(object_ref.hex(),
object_ref.owner_address(),
object_ref.call_site())
elif error_type == ErrorType.Value("OBJECT_UNRECONSTRUCTABLE"):
return ObjectReconstructionFailedError(
object_ref.hex(), object_ref.owner_address(),
object_ref.call_site())
elif error_type == ErrorType.Value(
"OBJECT_UNRECONSTRUCTABLE_MAX_ATTEMPTS_EXCEEDED"):
return ObjectReconstructionFailedMaxAttemptsExceededError(
object_ref.hex(), object_ref.owner_address(),
object_ref.call_site())
elif error_type == ErrorType.Value(
"OBJECT_UNRECONSTRUCTABLE_LINEAGE_EVICTED"):
return ObjectReconstructionFailedLineageEvictedError(
object_ref.hex(), object_ref.owner_address(),
object_ref.call_site())
elif error_type == ErrorType.Value("RUNTIME_ENV_SETUP_FAILED"):
return RuntimeEnvSetupError()
else:
return RaySystemError("Unrecognized error type " +
str(error_type))
elif data:
raise ValueError("non-null object should always have metadata")
else:
# Object isn't available in plasma. This should never be returned
# to the user. We should only reach this line if this object was
# deserialized as part of a list, and another object in the list
# throws an exception.
return PlasmaObjectNotAvailable
def fetch_result(self, trial):
if self.should_fail_in_fetch_result:
raise RayActorError(
"The actor died unexpectedly before finishing this task.")
else:
return [self.results.get(trial, {})]
