Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/10678#issuecomment-170707667
I can reproduce the problem using a simple query now:
```
select area, rank() over (partition by area order by month) as c1
from windowData group by product, area, month order by product
```
The logical plan is like
```
'Sort ['p ASC], true
+- Project [area#1,c1#11]
+- Project [area#1,month#0,tmp1#10,_we0#17,(_we0#17 + tmp1#10) AS c1#11]
+- Window [area#1,month#0,tmp1#10], [rank(month#0)
windowspecdefinition(area#1,month#0 ASC,ROWS BETWEEN UNBOUNDED PRECEDING AND
CURRENT ROW) AS _we0#17], [area#1], [month#0 ASC]
+- Project [area#1,month#0,tmp1#10]
+- Subquery tmp
+- Project [month#0,area#1,product#2 AS p#9,1 AS tmp1#10]
+- Subquery windowdata
+- LogicalRDD [month#0,area#1,product#2],
MapPartitionsRDD[1] at apply at Transformer.scala:22
```
This does not match the existing two patterns. Thus, it is unable to
resolve the sorting columns. I will try to find and write a general rule to
handle the cases, as you suggested.
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