Github user MasterDDT commented on the issue:
https://github.com/apache/spark/pull/17400
For example here is a similar bug for sorting:
>scala> Seq((1, 2), (3, 4)).toDF("a", "b").sort("a").selectExpr("a as
newA", "b").sort("newA")
res3: org.apache.spark.sql.Dataset[org.apache.spark.sql.Row] = [newA: int,
b: int]
>scala> println(res3.queryExecution.executedPlan)
*Sort [args=[newA#36673 ASC], true, 0][outPart=RangePartitioning(8,
newA#36673 ASC%NONNULL)][outOrder=ArrayBuffer(newA#36673
ASC%NONNULL)][output=ArrayBuffer(newA#36673:int%NONNULL, b#36668:int%NONNULL)]
+- Exchange [args=rangepartitioning(newA#36673 ASC,
8)%NONNULL][outPart=RangePartitioning(8, newA#36673
ASC%NONNULL)][outOrder=List()][output=ArrayBuffer(newA#36673:int%NONNULL,
b#36668:int%NONNULL)]
+- *Project [args=[a#36667 AS newA#36673,
b#36668]][outPart=RangePartitioning(8, a#36667
ASC%NONNULL)][outOrder=ArrayBuffer(a#36667
ASC%NONNULL)][output=ArrayBuffer(newA#36673:int%NONNULL, b#36668:int%NONNULL)]
+- *Sort [args=[a#36667 ASC], true, 0][outPart=RangePartitioning(8,
a#36667 ASC%NONNULL)][outOrder=ArrayBuffer(a#36667
ASC%NONNULL)][output=List(a#36667:int%NONNULL, b#36668:int%NONNULL)]
+- Exchange [args=rangepartitioning(a#36667 ASC,
8)%NONNULL][outPart=RangePartitioning(8, a#36667
ASC%NONNULL)][outOrder=List()][output=List(a#36667:int%NONNULL,
b#36668:int%NONNULL)]
+- LocalTableScan [args=[a#36667,
b#36668]][outPart=UnknownPartitioning(0)][outOrder=List()][output=List(a#36667:int%NONNULL,
b#36668:int%NONNULL)]
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