Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/19607#discussion_r149055095
--- Diff: python/pyspark/serializers.py ---
@@ -274,12 +278,13 @@ def load_stream(self, stream):
"""
Deserialize ArrowRecordBatches to an Arrow table and return as a
list of pandas.Series.
"""
- from pyspark.sql.types import _check_dataframe_localize_timestamps
+ from pyspark.sql.types import
_check_dataframe_localize_timestamps, from_arrow_schema
import pyarrow as pa
reader = pa.open_stream(stream)
+ schema = from_arrow_schema(reader.schema)
for batch in reader:
# NOTE: changed from pa.Columns.to_pandas, timezone issue in
conversion fixed in 0.7.1
- pdf = _check_dataframe_localize_timestamps(batch.to_pandas())
+ pdf = _check_dataframe_localize_timestamps(batch.to_pandas(),
schema, self._timezone)
--- End diff --
Yes, current implementation is doing (1). I'm not sure if we should hold
the timezone. cc @cloud-fan @gatorsmile
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