zhengruifeng commented on code in PR #41505:
URL: https://github.com/apache/spark/pull/41505#discussion_r1222413891
##########
python/pyspark/sql/functions.py:
##########
@@ -9929,6 +10078,26 @@ def map_zip_with(
return _invoke_higher_order_function("MapZipWith", [col1, col2], [f])
+def str_to_map(
+ col1: "ColumnOrName",
+ col2: Union["ColumnOrName", str],
+ col3: Union["ColumnOrName", str],
+) -> Column:
Review Comment:
I checked
`to_char` :
https://github.com/apache/spark/blob/3433f2a77d3dd665f42aa3d558152cf4c912c54c/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/numberFormatExpressions.scala#L227-L234
`to_binary`:
https://github.com/apache/spark/blob/f718b025d87ae3726210c60ff71cb34917b32f51/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/stringExpressions.scala#L2727-L2734
the format should be a literal string, so on the python side, the augment
type should be `Union[Column, str]`, when the input is a `str`, convert it to
`lit(...)`
also cc @HyukjinKwon
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