Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/16246#discussion_r92450051
--- Diff: sql/core/src/test/resources/sql-tests/inputs/scalar-subquery.sql
---
@@ -0,0 +1,20 @@
+CREATE OR REPLACE TEMPORARY VIEW p AS VALUES (1, 1) AS T(pk, pv);
+CREATE OR REPLACE TEMPORARY VIEW c AS VALUES (1, 1) AS T(ck, cv);
+
+-- SPARK-18814.1: Simplified version of TPCDS-Q32
+SELECT pk, cv
+FROM p, c
+WHERE p.pk = c.ck
+AND c.cv = (SELECT avg(c1.cv)
+ FROM c c1
+ WHERE c1.ck = p.pk);
+
+-- SPARK-18814.2: Adding stack of aggregates
+SELECT pk, cv
+FROM p, c
+WHERE p.pk = c.ck
+AND c.cv = (SELECT max(avg)
+ FROM (SELECT c1.cv, avg(c1.cv) avg
+ FROM c c1
+ WHERE c1.ck = p.pk
+ GROUP BY c1.cv));
--- End diff --
Or in some other cases, we should see the error message like
```
org.apache.spark.sql.AnalysisException: expression 'c1.`cv`' is neither
present in the group by, nor is it an aggregate function.
```
Both error handling are missing.
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