LuciferYang commented on code in PR #42968:
URL: https://github.com/apache/spark/pull/42968#discussion_r1328213649
##########
python/pyspark/sql/functions.py:
##########
@@ -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:
Sorry, this doctest produced different results when using Scala 2.12 and
Scala 2.13.
When using Scala 2.12, this test case prints `[5, 2]`, but when using Scala
2.13, this test case prints `[2, 5]`. Skip or simplify it? Which one do you
think is better? @zhengruifeng @HyukjinKwon
https://github.com/apache/spark/actions/runs/6209111340/job/16856005714
```
**********************************************************************
File "/__w/spark/spark/python/pyspark/sql/connect/functions.py", line 1030,
in pyspark.sql.connect.functions.collect_set
Failed example:
df.select(sf.collect_set('age')).show()
Expected:
+----------------+
|collect_set(age)|
+----------------+
| [5, 2]|
+----------------+
Got:
+----------------+
|collect_set(age)|
+----------------+
| [2, 5]|
+----------------+
<BLANKLINE>
**********************************************************************
1 of 9 in pyspark.sql.connect.functions.collect_set
***Test Failed*** 1 failures.
Had test failures in pyspark.sql.connect.functions with python3.9; see logs.
Error: running /__w/spark/spark/python/run-tests --modules=pyspark-connect
--parallelism=1 ; received return code 255
Error: Process completed with exit code 19.
```
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