[SPARK-18874][SQL][FOLLOW-UP] Improvement type mismatched message

## What changes were proposed in this pull request?
Improvement `IN` predicate type mismatched message:
```sql
Mismatched columns:
[(, t, 4, ., `, t, 4, a, `, :, d, o, u, b, l, e, ,,  , t, 5, ., `, t, 5, a, `, :, d, e, c, i, m, a, l, (, 1, 8, ,, 0, ), ), (, t, 4, ., `, t, 4, c, `, :, s, t, r, i, n, g, ,,  , t, 5, ., `, t, 5, c, `, :, b, i, g, i, n, t, )]
```
After this patch:
```sql
Mismatched columns:
[(t4.`t4a`:double, t5.`t5a`:decimal(18,0)), (t4.`t4c`:string, t5.`t5c`:bigint)]
```

## How was this patch tested?

unit tests

Author: Yuming Wang <[email protected]>

Closes apache#21863 from wangyum/SPARK-18874.

Author: wangyum

sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/predicates.scala

@@ -189,7 +189,7 @@ case class In(value: Expression, list: Seq[Expression]) extends Predicate {
           } else {
             val mismatchedColumns = valExprs.zip(childOutputs).flatMap {
               case (l, r) if l.dataType != r.dataType =>
-                s"(${l.sql}:${l.dataType.catalogString}, ${r.sql}:${r.dataType.catalogString})"
+                Seq(s"(${l.sql}:${l.dataType.catalogString}, ${r.sql}:${r.dataType.catalogString})")
               case _ => None
             }
             TypeCheckResult.TypeCheckFailure(

sql/core/src/test/resources/sql-tests/inputs/subquery/negative-cases/subq-input-typecheck.sql

@@ -13,6 +13,14 @@ CREATE TEMPORARY VIEW t3 AS SELECT * FROM VALUES
   (3, 1, 2)
 AS t3(t3a, t3b, t3c);
 
+CREATE TEMPORARY VIEW t4 AS SELECT * FROM VALUES
+  (CAST(1 AS DOUBLE), CAST(2 AS STRING), CAST(3 AS STRING))
+AS t1(t4a, t4b, t4c);
+
+CREATE TEMPORARY VIEW t5 AS SELECT * FROM VALUES
+  (CAST(1 AS DECIMAL(18, 0)), CAST(2 AS STRING), CAST(3 AS BIGINT))
+AS t1(t5a, t5b, t5c);
+
 -- TC 01.01
 SELECT 
   ( SELECT max(t2b), min(t2b) 
@@ -44,4 +52,10 @@ WHERE
 (t1a, t1b) IN (SELECT t2a
                FROM t2
                WHERE t1a = t2a);
-
+-- TC 01.05
+SELECT * FROM t4
+WHERE
+(t4a, t4b, t4c) IN (SELECT t5a,
+                           t5b,
+                           t5c
+                    FROM t5);

sql/core/src/test/resources/sql-tests/results/subquery/negative-cases/subq-input-typecheck.sql.out

@@ -1,5 +1,5 @@
 -- Automatically generated by SQLQueryTestSuite
--- Number of queries: 7
+-- Number of queries: 10
 
 
 -- !query 0
@@ -33,44 +33,64 @@ struct<>
 
 
 -- !query 3
+CREATE TEMPORARY VIEW t4 AS SELECT * FROM VALUES
+  (CAST(1 AS DOUBLE), CAST(2 AS STRING), CAST(3 AS STRING))
+AS t1(t4a, t4b, t4c)
+-- !query 3 schema
+struct<>
+-- !query 3 output
+
+
+
+-- !query 4
+CREATE TEMPORARY VIEW t5 AS SELECT * FROM VALUES
+  (CAST(1 AS DECIMAL(18, 0)), CAST(2 AS STRING), CAST(3 AS BIGINT))
+AS t1(t5a, t5b, t5c)
+-- !query 4 schema
+struct<>
+-- !query 4 output
+
+
+
+-- !query 5
 SELECT 
   ( SELECT max(t2b), min(t2b) 
     FROM t2 
     WHERE t2.t2b = t1.t1b
     GROUP BY t2.t2b
   )
 FROM t1
--- !query 3 schema
+-- !query 5 schema
 struct<>
--- !query 3 output
+-- !query 5 output
 org.apache.spark.sql.AnalysisException
 Scalar subquery must return only one column, but got 2;
 
 
--- !query 4
+-- !query 6
 SELECT 
   ( SELECT max(t2b), min(t2b) 
     FROM t2 
     WHERE t2.t2b > 0
     GROUP BY t2.t2b
   )
 FROM t1
--- !query 4 schema
+-- !query 6 schema
 struct<>
--- !query 4 output
+-- !query 6 output
 org.apache.spark.sql.AnalysisException
 Scalar subquery must return only one column, but got 2;
 
 
--- !query 5
+-- !query 7
 SELECT * FROM t1
 WHERE
 t1a IN (SELECT t2a, t2b 
         FROM t2
         WHERE t1a = t2a)
--- !query 5 schema
+-- !query 7 schema
 struct<>
--- !query 5 output
+-- !query 7 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
@@ -83,15 +103,15 @@ Right side columns:
 [t2.`t2a`, t2.`t2b`].;
 
 
--- !query 6
+-- !query 8
 SELECT * FROM T1 
 WHERE
 (t1a, t1b) IN (SELECT t2a
                FROM t2
                WHERE t1a = t2a)
--- !query 6 schema
+-- !query 8 schema
 struct<>
--- !query 6 output
+-- !query 8 output
 org.apache.spark.sql.AnalysisException
 cannot resolve '(named_struct('t1a', t1.`t1a`, 't1b', t1.`t1b`) 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
@@ -102,3 +122,25 @@ Left side columns:
 [t1.`t1a`, t1.`t1b`].
 Right side columns:
 [t2.`t2a`].;
+
+
+-- !query 9
+SELECT * FROM t4
+WHERE
+(t4a, t4b, t4c) IN (SELECT t5a,
+                           t5b,
+                           t5c
+                    FROM t5)
+-- !query 9 schema
+struct<>
+-- !query 9 output
+org.apache.spark.sql.AnalysisException
+cannot resolve '(named_struct('t4a', t4.`t4a`, 't4b', t4.`t4b`, 't4c', t4.`t4c`) IN (listquery()))' due to data type mismatch: 
+The data type of one or more elements in the left hand side of an IN subquery
+is not compatible with the data type of the output of the subquery
+Mismatched columns:
+[(t4.`t4a`:double, t5.`t5a`:decimal(18,0)), (t4.`t4c`:string, t5.`t5c`:bigint)]
+Left side:
+[double, string, string].
+Right side:
+[decimal(18,0), string, bigint].;