Github user maropu commented on the issue:
https://github.com/apache/spark/pull/17191
Aha, I checked and I found all of them rejected the syntax;
```
postgres=# select gkey1 AS gkey2, count(value) AS k1 from t2 group by gkey2;
ERROR: column "t2.gkey1" must appear in the GROUP BY clause or be used in
an aggregate function
LINE 1: select gkey1 AS gkey2, count(value) AS k1 from t2 group by g...
mysql> select gkey1 AS gkey2, count(value) AS k1 from t2 group by gkey2;
ERROR 1055 (42000): Expression #1 of SELECT list is not in GROUP BY clause
and contains nonaggregated column 'testdb.t2.gkey1' which is not functionally
dependent on columns in GROUP BY clause; this is incompatible with
sql_mode=only_full_group_by
scala> Seq((1, 1, 1)).toDF("gkey1", "gkey2",
"value").createOrReplaceTempView("t")
scala> sql("SELECT gkey1 AS gkey2, COUNT(value) FROM t GROUP BY gkey2")
org.apache.spark.sql.AnalysisException: expression 't.`gkey1`' is neither
present in the group by, nor is it an aggregate function. Add to group by or
wrap in first() (or first_value) if you don't care which value you get.;;
Aggregate [gkey2#8], [gkey1#7 AS gkey2#21, count(value#9) AS
count(value)#23L]
+- SubqueryAlias t
+- Project [_1#3 AS gkey1#7, _2#4 AS gkey2#8, _3#5 AS value#9]
+- LocalRelation [_1#3, _2#4, _3#5]
```
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