zhengruifeng commented on code in PR #42968:
URL: https://github.com/apache/spark/pull/42968#discussion_r1328217212
##########
python/pyspark/sql/functions.py:
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@@ -3765,12 +3765,12 @@ def collect_set(col: "ColumnOrName") -> Column:
Example 1: Collect values from a single column DataFrame
>>> from pyspark.sql import functions as sf
- >>> df = spark.createDataFrame([(2,), (5,), (5,)], ('age',))
+ >>> df = spark.createDataFrame([(5,), (5,), (5,)], ('age',))
>>> df.select(sf.collect_set('age')).show()
+----------------+
|collect_set(age)|
+----------------+
- | [5, 2]|
+ | [5]|
Review Comment:
I think it can be expected, since `collect_set/collect_list` do not
guarantee the ordering, what about adding a `array_sort` to make it
deterministic?
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