Github user gatorsmile commented on a diff in the pull request:
https://github.com/apache/spark/pull/18968#discussion_r134596955
--- Diff:
sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/subq-input-typecheck.sql.out
---
@@ -72,16 +72,7 @@ t1a IN (SELECT t2a, t2b
struct<>
-- !query 5 output
org.apache.spark.sql.AnalysisException
-cannot resolve '(t1.`t1a` IN (listquery(t1.`t1a`)))' due to data type
mismatch:
-The number of columns in the left hand side of an IN subquery does not
match the
-number of columns in the output of subquery.
-#columns in left hand side: 1.
-#columns in right hand side: 2.
-Left side columns:
-[t1.`t1a`].
-Right side columns:
-[t2.`t2a`, t2.`t2b`].
- ;
+cannot resolve '(t1.`t1a` IN (listquery(t1.`t1a`)))' due to data type
mismatch: Arguments must be same type but were: IntegerType !=
StructType(StructField(t2a,IntegerType,false),
StructField(t2b,IntegerType,false));
--- End diff --
This new message is confusing when users using the In Subquery.
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