BryanCutler commented on a change in pull request #22305:
[SPARK-24561][SQL][Python] User-defined window aggregation functions with
Pandas UDF (bounded window)
URL: https://github.com/apache/spark/pull/22305#discussion_r241217123
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File path: python/pyspark/worker.py
##########
@@ -145,7 +145,18 @@ def wrapped(*series):
return lambda *a: (wrapped(*a), arrow_return_type)
-def wrap_window_agg_pandas_udf(f, return_type):
+def wrap_window_agg_pandas_udf(f, return_type, runner_conf, udf_index):
+ window_bound_types_str = runner_conf.get('pandas_window_bound_types')
+ window_bound_type = [t.strip() for t in
window_bound_types_str.split(',')][udf_index]
Review comment:
Thanks for the change, I think using the `runner_conf` is cleaner than
before. As an extra precaution, you might change to `lower()` also.
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