viirya commented on a change in pull request #23900: [SPARK-23836][PYTHON] Add
support for StructType return in Scalar Pandas UDF
URL: https://github.com/apache/spark/pull/23900#discussion_r261122827
##########
File path: python/pyspark/worker.py
##########
@@ -254,7 +254,12 @@ def read_udfs(pickleSer, infile, eval_type):
timezone = runner_conf.get("spark.sql.session.timeZone", None)
safecheck =
runner_conf.get("spark.sql.execution.pandas.arrowSafeTypeConversion",
"false").lower() == 'true'
- ser = ArrowStreamPandasSerializer(timezone, safecheck)
+ # NOTE: this is duplicated from wrap_grouped_map_pandas_udf
+ assign_cols_by_name = runner_conf.get(
+
"spark.sql.legacy.execution.pandas.groupedMap.assignColumnsByName", "true")\
Review comment:
Based on above comment
https://github.com/apache/spark/pull/23900/files#r260874304, if we are going to
remove `spark.sql.legacy.execution.pandas.groupedMap.assignColumnsByName`, do
we need to use this config here?
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
With regards,
Apache Git Services
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
