## What changes were proposed in this pull request?
Move the checking of GROUP BY column in correlated scalar subquery from CheckAnalysis
to Analysis to fix a regression caused by SPARK-18504.
This problem can be reproduced with a simple script now.
Seq((1,1)).toDF("pk","pv").createOrReplaceTempView("p")
Seq((1,1)).toDF("ck","cv").createOrReplaceTempView("c")
sql("select * from p,c where p.pk=c.ck and c.cv = (select avg(c1.cv) from c c1 where c1.ck = p.pk)").show
The requirements are:
1. We need to reference the same table twice in both the parent and the subquery. Here is the table c.
2. We need to have a correlated predicate but to a different table. Here is from c (as c1) in the subquery to p in the parent.
3. We will then "deduplicate" c1.ck in the subquery to `ck#<n1>#<n2>` at `Project` above `Aggregate` of `avg`. Then when we compare `ck#<n1>#<n2>` and the original group by column `ck#<n1>` by their canonicalized form, which is #<n2> != #<n1>. That's how we trigger the exception added in SPARK-18504.
## How was this patch tested?
SubquerySuite and a simplified version of TPCDS-Q32
Author: Nattavut Sutyanyong <nsy.can@gmail.com>
Closes#16246 from nsyca/18814.
cccd64393e