Looking for a performance effective SQL code to calculate Rolling Sum based on DATE Sum. My data looks like:
+----+-----------+----+
| ID | Date | Qt |
+----+-----------+----+
| 1 | 1/12/2009 | 2 |
| 2 | 1/13/2009 | 3 |
| 3 | 1/14/2009 | 10 |
| 4 | 1/15/2009 | 2 |
| 5 | 1/16/2009 | 3 |
| 6 | 1/17/2009 | 7 |
| 7 | 1/18/2009 | 5 |
| 8 | 1/19/2009 | 4 |
| 9 | 1/20/2009 | 2 |
| 10 | 1/21/2009 | 3 |
| 11 | 1/22/2009 | 10 |
| 12 | 1/23/2009 | 2 |
| 13 | 1/24/2009 | 3 |
| 14 | 1/25/2009 | 7 |
| 15 | 1/26/2009 | 5 |
| 16 | 1/27/2009 | 4 |
| 17 | 1/28/2009 | 1 |
| 18 | 1/29/2009 | 0 |
| 19 | 1/30/2009 | 8 |
| 20 | 1/31/2009 | 9 |
+----+-----------+----+
Output should be like:
+----+-----------+----+-----------+
| ID | Date | Qt | Roll10Day |
+----+-----------+----+-----------+
| 1 | 1/12/2009 | 2 | 2 |
| 2 | 1/13/2009 | 3 | 5 |
| 3 | 1/14/2009 | 10 | 15 |
| 4 | 1/15/2009 | 2 | 17 |
| 5 | 1/16/2009 | 3 | 20 |
| 6 | 1/17/2009 | 7 | 27 |
| 7 | 1/18/2009 | 5 | 32 |
| 8 | 1/19/2009 | 4 | 36 |
| 9 | 1/20/2009 | 2 | 38 |
| 10 | 1/21/2009 | 3 | 41 |
| 11 | 1/22/2009 | 10 | 49 |
| 12 | 1/23/2009 | 2 | 48 |
| 13 | 1/24/2009 | 3 | 41 |
| 14 | 1/25/2009 | 7 | 46 |
| 15 | 1/26/2009 | 5 | 48 |
| 16 | 1/27/2009 | 4 | 45 |
| 17 | 1/28/2009 | 1 | 41 |
| 18 | 1/29/2009 | 0 | 37 |
| 19 | 1/30/2009 | 8 | 43 |
| 20 | 1/31/2009 | 9 | 49 |
+----+-----------+----+-----------+
Can we achieve it using a window function? I know I can get it be using inner query in SQL.
This would normally be handled using the windowing clause with sum()
:
select t.*,
sum(qt) over (order by date rows between 9 preceding and current row)
from t;
I don't know if SAP Hana supports this syntax. SQL Server does.