def serialize(self, value):
"""Serialize an object.
Args:
value: The value to serialize.
"""
if isinstance(value, bytes):
# If the object is a byte array, skip serializing it and
# use a special metadata to indicate it's raw binary. So
# that this object can also be read by Java.
return RawSerializedObject(value)
else:
# Only RayTaskError is possible to be serialized here. We don't
# need to deal with other exception types here.
if isinstance(value, RayTaskError):
metadata = str(ErrorType.Value(
"TASK_EXECUTION_EXCEPTION")).encode("ascii")
else:
metadata = ray_constants.PICKLE5_BUFFER_METADATA
assert self.worker.use_pickle
assert ray.cloudpickle.FAST_CLOUDPICKLE_USED
writer = Pickle5Writer()
# TODO(swang): Check that contained_object_ids is empty.
inband = pickle.dumps(value,
protocol=5,
buffer_callback=writer.buffer_callback)
return Pickle5SerializedObject(
metadata, inband, writer,
self.get_and_clear_contained_object_ids())
def _serialize_to_pickle5(self, metadata, value):
writer = Pickle5Writer()
# TODO(swang): Check that contained_object_refs is empty.
try:
self.set_in_band_serialization()
inband = pickle.dumps(
value, protocol=5, buffer_callback=writer.buffer_callback)
except Exception as e:
self.get_and_clear_contained_object_refs()
raise e
finally:
self.set_out_of_band_serialization()
return Pickle5SerializedObject(
metadata, inband, writer,
self.get_and_clear_contained_object_refs())
def serialize(self, value):
"""Serialize an object.
Args:
value: The value to serialize.
"""
if isinstance(value, bytes):
# If the object is a byte array, skip serializing it and
# use a special metadata to indicate it's raw binary. So
# that this object can also be read by Java.
return RawSerializedObject(value)
assert self.worker.use_pickle
assert ray.cloudpickle.FAST_CLOUDPICKLE_USED
writer = Pickle5Writer()
inband = pickle.dumps(value,
protocol=5,
buffer_callback=writer.buffer_callback)
return Pickle5SerializedObject(
inband, writer, self.get_and_clear_contained_object_ids())
def serialize(self, value):
"""Serialize an object.
Args:
value: The value to serialize.
"""
if isinstance(value, bytes):
# If the object is a byte array, skip serializing it and
# use a special metadata to indicate it's raw binary. So
# that this object can also be read by Java.
return RawSerializedObject(value)
if self.worker.use_pickle:
writer = Pickle5Writer()
if ray.cloudpickle.FAST_CLOUDPICKLE_USED:
inband = pickle.dumps(value,
protocol=5,
buffer_callback=writer.buffer_callback)
else:
inband = pickle.dumps(value)
return Pickle5SerializedObject(inband, writer)
else:
try:
serialized_value = self._store_and_register_pyarrow(value)
except TypeError:
# TypeError can happen because one of the members of the object
# may not be serializable for cloudpickle. So we need
# these extra fallbacks here to start from the beginning.
# Hopefully the object could have a `__reduce__` method.
self.register_custom_serializer(type(value), use_pickle=True)
logger.warning("WARNING: Serializing the class {} failed, "
"falling back to cloudpickle.".format(
type(value)))
serialized_value = self._store_and_register_pyarrow(value)
return ArrowSerializedObject(serialized_value)
