omit transactions 0 or zero...

Hello...

Database: Oracle 10g

I need to get the last four operations at any time when the query is fired. It is important that when the transaction is 0 (zero) or NULL in this case this record should be ignored. Overall, I should get full four records with transactions. I know that analytical functions would help here but unable to frame the query. Help, please

WITH T AS

(

1 SELECT ID, SYSDATE DT, AMT 300 DOUBLE UNION ALL

2. SELECT ID, SYSDATE-1 DT, AMT 200 DOUBLE UNION ALL

3. SELECT ID, SYSDATE-2 DT, AMT 0 TO DOUBLE UNION ALL

4. SELECT ID, SYSDATE-3 DT, AMT 400 DOUBLE UNION ALL

SELECT 5 ID, SYSDATE-4 DT, AMT NULL IN DOUBLE UNION ALL

SELECT 6 ID, SYSDATE-5 DT, AMT NULL IN DOUBLE UNION ALL

7. SELECT ID, SYSDATE-6 DT, TN 500 FROM DUAL UNION ALL

8. SELECT ID, SYSDATE-7 DT, AMT 700 DUAL UNION ALL

9. SELECT ID, SYSDATE-8 DT, AMT 800 DOUBLE

)

SELECT * FROM T

Output:

ID          DT                    AMT

07/03/2014 1, 300

07/02/2014 2, 200

06/30/2014 3, 400

27/06/2014 4, 500

Another way: select * from t where the amt is not null and amt <>0

I need help to use the analytical functions

Thank you

Naren

Well my solution has proved to be a similar solution posted above.

Something like this would work also...

--------------

WITH T

DID (1 SELECT ID, DT, 300 DOUBLE AMT SYSDATE

UNION ALL

2. SELECT ID, SYSDATE - 1 DT, AMT 200 DOUBLE

UNION ALL

3. SELECT ID, SYSDATE - 2 DT, AMT DOUBLE 0

UNION ALL

4. SELECT ID, SYSDATE - 3 DT, 400 DOUBLE AMT

UNION ALL

5 SELECT ID, SYSDATE - 4 DT, NULL DOUBLE AMT

UNION ALL

6. SELECT ID, SYSDATE - 5 DT, NULL DOUBLE AMT

UNION ALL

7. SELECT ID, SYSDATE - 6 DT, AMT 500 DOUBLE

UNION ALL

8. SELECT ID, SYSDATE - 7 DT, 700 DOUBLE AMT

UNION ALL

9. SELECT ID, SYSDATE - 8 DT, AMT 800 DOUBLE)

SELECT the rnk id, dt, amt

(SELECT ID,

DT,

AMT,

DENSE_RANK () OVER (ORDER BY dt DESC 1 PARTITION) rnk

T

WHERE NVL (amt, 0) <> 0)

WHERE rnk<=>

ID      DT                                    AMT

1 7/3/2014 09:09:39 300

2 7/2/2014 09:09:39 200

3 6/30 / 2014 09:09:39 400

4 6/27 / 2014 09:09:39 500

See you soon,.

Manik.

Tags: Database

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