Hive has offered the GROUPING SETS keywords to implement advanced multiple GROUP BY operations against the same set of data. Actually, GROUPING SETS is a shorthand way of connecting several GROUP BY result sets with UNION ALL. The GROUPING SETS keyword completes all processes in one stage of jobs, which is more efficient than GROUP BY and UNION ALL having multiple stages. A blank set () in the GROUPING SETS clause calculates the overall aggregation. The following are a few examples to show the equivalence of GROUPING SETS. For better understanding, we can say that the outer level of GROUPING SETS defines on what data UNION ALL is to be implemented. The inner level defines on what data GROUP BY is to be implemented in each UNION ALL.

SELECT name, work_place[0] AS main_place, 
count(employee_id) AS emp_id_cnt 
FROM employee_id
GROUP BY name, work_place[0] GROUPING SETS((name, work_place[0]));
||
SELECT name, work_place[0] AS main_place, 
count(employee_id...