Github user maropu commented on the issue:
https://github.com/apache/spark/pull/18079
Currently, we have the same behaviour;
```
-- PostgreSQL
postgres=# create table t1(col1 int, col2 int);
CREATE TABLE
postgres=# select col1 as a, col2 as b from t1 as t(c, d);
ERROR: column "col1" does not exist at character 8
STATEMENT: select col1 as a, col2 as b from t1 as t(c, d);
ERROR: column "col1" does not exist
LINE 1: select col1 as a, col2 as b from t1 as t(c, d);
^
-- MySQL
mysql> create table t1(col1 int, col2 int);
Query OK, 0 rows affected (0.01 sec)
mysql> select col1 as a, col2 as b from t1 as t(c, d);
ERROR 1064 (42000): You have an error in your SQL syntax; check the manual
that corresponds to your MySQL server version for the right syntax to use near
'(c, d)' at line 1
mysql>
-- Spark with this pr
scala> Seq((1, 2), (2, 3)).toDF("col1", "col2").createOrReplaceTempView("t")
scala> sql("select col1 as a, col2 as b from t as t(c, d)").show
org.apache.spark.sql.AnalysisException: cannot resolve '`col1`' given input
columns: [c, d]; line 1 pos 7;
'Project ['col1 AS a#18, 'col2 AS b#19]
+- SubqueryAlias t
+- Project [col1#5 AS c#20, col2#6 AS d#21]
+- SubqueryAlias t
+- Project [_1#2 AS col1#5, _2#3 AS col2#6]
+- LocalRelation [_1#2, _2#3]
```
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