cloud-fan commented on code in PR #43465:
URL: https://github.com/apache/spark/pull/43465#discussion_r1369738628
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python/pyspark/sql/connect/plan.py:
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@@ -2214,7 +2214,9 @@ def __init__(
self._input_grouping_cols = input_grouping_cols
self._other_grouping_cols = other_grouping_cols
self._other = cast(LogicalPlan, other)
- self._func = function._build_common_inline_user_defined_function(*cols)
+ # The function takes entire DataFrame as inputs, no need to do
+ # column binding (no input columns).
+ self._func = function._build_common_inline_user_defined_function()
Review Comment:
yea, that's why this bug is hidden. We simply picked the first matching
dataframe in the query plan to resolve columns, which is wrong and now we will
throw AMBIGUOUS_COLUMN_REFERENCE
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