[GitHub] [spark] maropu commented on pull request #30144: [SPARK-33229][SQL]Support GROUP BY use Separate columns and CUBE/ROLLUP

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maropu commented on pull request #30144:
URL: https://github.com/apache/spark/pull/30144#issuecomment-716353950


   I'm not familiar with this mixed case, so I just want to know a whole picture of this feature first. The other systems support this feature? And, how about the other mixed cases as follows?
   ```
   postgres=# create table t(a int, b int, c int, v int);
   postgres=# insert into t values (1, 1, 1, 1);
   postgres=# select a, b, c, sum(v) from t group by rollup(a, b), cube(b, c);
    a | b | c | sum 
   ---+---+---+-----
      |   |   |   1
    1 |   | 1 |   1
    1 |   |   |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
      | 1 | 1 |   1
      |   | 1 |   1
    1 | 1 |   |   1
    1 | 1 |   |   1
    1 | 1 |   |   1
      | 1 |   |   1
   (12 rows)
   
   postgres=# select a, b, c, sum(v) from t group by rollup(a, b), cube(b, c), grouping sets(a, c);
    a | b | c | sum 
   ---+---+---+-----
    1 | 1 |   |   1
    1 | 1 |   |   1
    1 | 1 |   |   1
    1 | 1 |   |   1
    1 |   |   |   1
    1 |   |   |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
    1 | 1 | 1 |   1
      | 1 | 1 |   1
      | 1 | 1 |   1
      |   | 1 |   1
      |   | 1 |   1
    1 |   | 1 |   1
    1 |   | 1 |   1
    1 |   | 1 |   1
    1 |   | 1 |   1
   (24 rows)
   ```


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