Github user maropu commented on the issue:
https://github.com/apache/spark/pull/17191
@gatorsmile How about this? It seems we have the same behaviour;
```
// PostgreSQL
postgres=# select gkey1 AS "2", gkey2, count(value) from t2 group by "2", 2;
2 | gkey2 | count
---+-------+-------
1 | 1 | 1
(1 row)
// MySQL
mysql> select gkey1 AS `2`, gkey2, count(value) from t2 group by `2`, 2;
+------+-------+--------------+
| 2 | gkey2 | count(value) |
+------+-------+--------------+
| 1 | 1 | 1 |
+------+-------+--------------+
1 row in set (0.00 sec)
// Spark
scala> Seq((1, 1, 1)).toDF("key1", "key2",
"value").createOrReplaceTempView("t")
scala> val df = sql("SELECT key1 AS `2`, key2, COUNT(value) FROM t GROUP BY
`2`, 2")
scala> df.show
+---+----+------------+
| 2|key2|count(value)|
+---+----+------------+
| 1| 1| 1|
+---+----+------------+
```
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