def _decode_one_batch_from_stream(self,
in_stream: create_InputStream) -> List:
self._resettable_io.set_input_bytes(in_stream.read_all(True))
# there is only one arrow batch in the underlying input stream
table = pa.Table.from_batches([next(self._batch_reader)])
return [
ArrowCoderImpl.tz_convert_from_internal(
c.to_pandas(date_as_object=True), t, self._timezone)
for c, t in zip(table.itercolumns(), self._field_types)
]
def _decode_one_batch_from_stream(self,
in_stream: create_InputStream) -> List:
self._resettable_io.set_input_bytes(in_stream.read_all(True))
# there is only one arrow batch in the underlying input stream
table = pa.Table.from_batches([next(self._batch_reader)])
return [c.to_pandas(date_as_object=True) for c in table.itercolumns()]
def _decode_one_batch_from_stream(self,
in_stream: create_InputStream) -> List:
self._resettable_io.set_input_bytes(in_stream.read_all(True))
# there is only one arrow batch in the underlying input stream
return arrow_to_pandas(self._timezone, self._field_types,
[next(self._batch_reader)])
def decode_from_stream(self, in_stream: create_InputStream, nested):
data_input_stream = InputStream(in_stream.read_all(False))
return self._value_coder.decode_from_stream(data_input_stream)