ROW_NUMBER() OVER (PARTITION

hi, can anyone explain, especially this part
ROW_NUMBER() OVER (PARTITION BY A.USER_ID ORDER BY A.TNP_TRACK_ID DESC) RN
Thanks
newbie
SELECT A.TNP_TRACK_ID, A.USER_ID, NVL(A.DELETED,0) DELETED, A.CREATE_TIME, A.DELETE_TIME, B.PRODUCT_CODE, C.LOGIN_NAME,
ROW_NUMBER() OVER (PARTITION BY A.USER_ID ORDER BY A.TNP_TRACK_ID DESC) RN
FROM MISPNA.TNP_TRACKABLE_' || TO_CHAR(p_reporting_month, 'YYYYMM') || ' A
JOIN TMP_VRZ_LATEST_SOC B ON A.TNP_TRACK_ID = B.TRACK_ID
JOIN MISPNA.TN_LOGIN C ON A.USER_ID = C.USER_ID
WHERE A.DELETED<>1

Hi,
949523 wrote:
thank you very much, the whole original script is
SELECT TNP_TRACK_ID, USER_ID, DELETED, CREATE_TIME, DELETE_TIME, PRODUCT_CODE, LOGIN_NAME
FROM (
SELECT A.TNP_TRACK_ID, A.USER_ID, NVL(A.DELETED,0) DELETED, A.CREATE_TIME, A.DELETE_TIME, B.PRODUCT_CODE, C.LOGIN_NAME,
ROW_NUMBER() OVER (PARTITION BY A.USER_ID ORDER BY A.TNP_TRACK_ID DESC) RN
FROM MISPNA.TNP_TRACKABLE_' || TO_CHAR(p_reporting_month, 'YYYYMM') || ' A
JOIN TMP_VRZ_LATEST_SOC B ON A.TNP_TRACK_ID = B.TRACK_ID
JOIN MISPNA.TN_LOGIN C ON A.USER_ID = C.USER_ID
WHERE A.DELETED <>1
WHERE RN != 1';I assume the single-quote near the end is just an editing typo.
>
so seems like with specified user_id, it will pick greatest tnp_track_id ? ( as it asks RN=1)That's what it would be doing if the last line read
WHERE  rn = 1; for each user_id, that query (with = on the last line) would display all the SELECTed values from the row with the greatest tnp_track_id.
Since you're using != , however, then it's doing just the opposite; it's displaying all rows except the row with the greatest tnp_track_id.
The sub-query is necessary here. All analytic functions, including ROW_NUMBER, are evaluated after the WHERE clause has been applied. To use the results of an analytic function in a WHERE clause, you have to compute the function in a sub-query first.
Edited by: Frank Kulash on Jan 7, 2013 8:08 PM
Just noticed you're saying "WHERE RN != 1" ( not equals)

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          7782 CLARK                5000
          7788 SCOTT                5000
          7839 KING                 5000
          7844 TURNER               5000
          7876 ADAMS                5000
         EMPNO ENAME      MAX(SAL)OVER()
          7900 JAMES                5000
          7902 FORD                 5000
          7934 MILLER               5000If you need to have the max per department , you just would need to add....
      1* select empno, ename, max(sal) over (partition by deptno) from emp
    sql> /
         EMPNO ENAME      MAX(SAL)OVER(PARTITIONBYDEPTNO)
          7782 CLARK                                 5000
          7839 KING                                  5000
          7934 MILLER                                5000
          7566 JONES                                 3000
          7902 FORD                                  3000
          7876 ADAMS                                 3000
          7369 SMITH                                 3000
          7788 SCOTT                                 3000
          7521 WARD                                  2850
          7844 TURNER                                2850
          7499 ALLEN                                 2850
         EMPNO ENAME      MAX(SAL)OVER(PARTITIONBYDEPTNO)
          7900 JAMES                                 2850
          7698 BLAKE                                 2850
          7654 MARTIN                                2850HTH,
    Rajesh.

  • Need help converting SQL "OVER (PARTITION BY   )" to JPQL equivalent - JPA

    Having trouble converting this query:
    select
    sdi,
    val,
    vldtn,
    TO_CHAR(sdt, 'yyyy-mm-dd hh:mi:ss AM')
    from
    select
    sdi,
    val,
    vldtn,
    sdt,
    max(sdt) over (partition by sdi) as MaxDate1
    from
    r_ins
    ) x
    where x.sdt = x.MaxDate1
    and sdi in (1234,2345,3456,4567,5678,6789,7890);
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    Able to convert simple queries but I do not know how to handle the "over (partition by sdi)" portion of the query.
    Can anyone help
    TIA
    Jer

    Paul Horth wrote:
    Why have the power (and cost) of Oracle and then not use those powerful features because you are restricting yourself to a vanilla set of SQL because you are using some generic framework.You know how it is :
    1 - Application developers create code & queries but only test them on tiny database with low volume and no concurrency at all.
    2 - Application goes Live, Database grows (as expected) but stupid optimizer is not as fast as on test environment (that was mostly empty)
    3 - Queries are now 200 times slower.
    4 - Expensive DB expert comes and gathers statistics, creates indexes, rewrites queries, uses hint/outline/SQLprofile.
    Conclusion : Database is evil and prevent application from working efficiently, the proof of all that being : nothing had to be done on application's side to make things work correctly. Database is declared guilty.
    Which could translate to :
    1 - Team buy a formula one with 800HP that can reach 200mph in less than 10 seconds.
    2 - Give it a pilot that doesn't even want to understand what-the-heck is a gearbox/transmission. Pilot only drives in 1st gear.
    3 - The formula one is now doing 0.003 miles per gallon, doing the hell of a noise, and is limited to 80mph +(any $10000 family wagon is faster in average)+
    4 - Expensive expert comes and check everything in the formula one. Finally understand the problem and modify the gearbox to a sloppy automatic transmission
    Conclusion : Formula 1 is evil and prevent pilot from being fast. The proof of that being : nothing had to be changed on pilot's side to make things work correctly. Formula 1 is declared guilty.
    You cannot win race without understanding how the car/engine/transmission/physics/race rules work.
    Too much levels of abstraction is bad. Treating the database as a black box is the most seen "Bad Idea" these days (to my point of view).
    Warning: I am biased towards Oracle :-)And so am I.
    (^_^)

  • How to use expression in over partition function

    sum(a) over(partition by b order by c range between interval '1' day following and '7' day following)
    the above query works fine
    but i want to use like this
    sum(a) over(partition by b order by c range between interval Trunc(Trunc(sysdate,'MONTH')+1,'MONTH') day following and '7' day following)
    is it work ??

    Balaji.tk wrote:
    is it work ??Have you tried it? If not, have a go. ;)

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