Need help with SQL retrieval for previous month till current date

Question

Hi ,
Need help generating statistics from previous month from date of enquiry till current date of enquiry.
and have to display it according to date.
Date of enquiry : 03/02/2012
Application Type| 01/01/2012 | 02/01/2012 | 03/01/2012 |...... | 31/01/2012 | 01/02/2012 | 02/02/2012 | 03/02/2012 |
sample1 20 30 40
sample 2 40 40 50
sample 3 50 30 30
Hope you guys can help me with this.
Regards

Answer 1

Hi,
932472 wrote:
Scenario
1)If i run the query at 12 pm on 03/2/2012. the result i will have to display till the current day.
2)displaying the count of the application made based on the date.
Application type 01012012 | 02012012 | 03012012 | ..... 01022012| 02022012|03022012
sample 1 30 40 50 44 30
sample 2 35 45 55
sample 3 36 45 55Explain how you get those results from the sample data you posted.
It would help a lot if you posted the results in \ tags, as described in the forum FAQ. {message{id=9360002}
SELECT     application_type as Application_type
,     COUNT (CASE WHEN created_dt = sysdate-3 THEN 1 END)     AS 01012012 (should be getting dynamically)
,     COUNT (CASE WHEN created_dt = sysdate-4 THEN 1 END)     AS 02022012
,     COUNT (CASE WHEN created_dt = sysdate-5 THEN 1 END)     AS 03022012
, COUNT (CASE WHEN created_dt = sysdate-6 THEN 1 END)     AS 04022012
FROM     table_1
GROUP BY application_type
ORDER BY     application_typeThat's the bais idea.
You can simplify it a little by factoring out the date differences:WITH got_d     AS
     SELECT     qty
     ,     TRUNC ( dt
          - ADD_MONTHS ( TRUNC (SYSDATE, 'MON')
                    , -1
          ) AS d
     FROM table1
     WHERE     dt     >= ADD_MONTHS ( TRUNC (SYSDATE, 'MON')
                    , -1
     AND dt     < TRUNC (SYSDATE) + 1
SELECT     SUM (CASE WHEN d = 1 THEN qty END)     AS day_1
,     SUM (CASE WHEN d = 2 THEN qty END)     AS day_2
,     SUM (CASE WHEN d = 62 THEN qty END)     AS day_62
FROM     got_d
See the links I mentioned earlier for getting exactly the right number of columns, and dynamic column aliases.