Analytic function, rows in col

Hi everyone,
I have this query which give the result i need :
select distinct id_media, to_char(date_media,'WW') week
, count(rowid) over (partition by id_media,to_char(date_media,'WW') order by id_media) as nb_count
from music01.data_radio
Result :
2004     06     2 => previous week
2004     07     4 => current week
But i would rather have a result like :
2004 2 4 => previous and current week on the same rows
How can i make that ?

I dont think its anywhere close to what OP wants
SQL> With t
  2  as
  3  (select '2004' as year, '06' as week, 2 as nb_count
  4    from dual
  5   union all
  6   Select '2004', '07', 4
  7  from dual
  8  union all
  9   Select '2004', '08', 7
10  from dual)
11  Select year, nb_count,lag(nb_count,1) OVER(ORDER BY week) from t
12  /
YEAR   NB_COUNT LAG(NB_COUNT,1)OVER(ORDERBYWEEK)
2004          2
2004          4                                2
2004          7                                4He is looking for something like this
SQL> With t
  2  as
  3  (select '2004' as year, '06' as week, 2 as nb_count
  4    from dual
  5   union all
  6   Select '2004', '07', 4
  7  from dual
  8  union all
  9   Select '2004', '08', 7
10  from dual)
11  select year,
12         max(decode(week, '06', nb_count)) "06",
13         max(decode(week, '07', nb_count)) "07",
14         max(decode(week, '08', nb_count)) "08"
15    from t
16  group by year
17  /
YEAR         06         07         08
2004          2          4          7Edited by: Karthick_Arp on Feb 24, 2009 4:07 AM

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    NAAS     NAAS MAYNOOTH     MAYNOOTHR010 DUBLINRD CEL 19 3
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      INVALID                      VARCHAR2(1 BYTE),
      ROUTE_ID                     NUMBER(10),
      LOCALITY_ID                  NUMBER(10),
      SEQUENCE_NO                  NUMBER(4),
      THORFARE_ID                  NUMBER(10) NOT NULL
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      THORFARE_ID            NUMBER(10)             NOT NULL,
      THORFARE_NAME          VARCHAR2(40 BYTE)      NOT NULL
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      LOCALITY_ID            NUMBER(10)             NOT NULL,
      NAME                   VARCHAR2(40 BYTE)      NOT NULL);
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       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
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       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
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       (27003326, 'N', 3405, 37382613, 412, 9002375);
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       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
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       (27003327, 'N', 3405, 37382613, 413, 9002375);
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       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
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       (27003328, 'N', 3405, 37382613, 414, 9002375);
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       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
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       (27003330, 'N', 3405, 37382613, 416, 9002375);
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       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
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       (27003331, 'N', 3405, 37382613, 417, 9002375);
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       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
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       (80561985, 'N', 3405, 34224751, 568, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561986, 'N', 3405, 34224751, 567, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561987, 'N', 3405, 34224751, 566, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561989, 'N', 3405, 34224751, 563, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561990, 'N', 3405, 34224751, 562, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561991, 'N', 3405, 34224751, 560, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561992, 'N', 3405, 34224751, 559, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561993, 'N', 3405, 34224751, 558, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561994, 'N', 3405, 34224751, 548, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80561995, 'N', 3405, 34224751, 546, 35417360);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562160, 'N', 3405, 37382613, 139, 35291878);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562161, 'N', 3405, 37382613, 140, 35291878);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562162, 'N', 3405, 37382613, 141, 35291878);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562163, 'N', 3405, 37382613, 142, 35291878);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562164, 'N', 3405, 37382613, 143, 35291878);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562165, 'N', 3405, 37382613, 145, 35291878);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562166, 'N', 3405, 37382613, 100, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562167, 'N', 3405, 37382613, 102, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562171, 'N', 3405, 37382613, 107, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562172, 'N', 3405, 37382613, 108, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562174, 'N', 3405, 37382613, 110, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562175, 'N', 3405, 37382613, 111, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562176, 'N', 3405, 37382613, 112, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562177, 'N', 3405, 37382613, 113, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562182, 'N', 3405, 37382613, 123, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562183, 'N', 3405, 37382613, 121, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562184, 'N', 3405, 37382613, 120, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562185, 'N', 3405, 37382613, 118, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562186, 'N', 3405, 37382613, 117, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562187, 'N', 3405, 37382613, 116, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562189, 'N', 3405, 37382613, 95, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562190, 'N', 3405, 37382613, 94, 35291883);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562213, 'N', 3405, 37382613, 89, 35291872);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (80562240, 'N', 3405, 35417256, 516, 35417271);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (35329559, 'N', 3405, 35329152, 443, 35329551);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (35329560, 'N', 3405, 35329152, 444, 35329551);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (35329562, 'N', 3405, 35329152, 446, 35329551);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (35329109, 'N', 3405, 35329152, 433, 35329181);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (35329169, 'N', 3405, 35329152, 434, 35329181);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (35329557, 'N', 3405, 35329152, 441, 35329551);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (35329558, 'N', 3405, 35329152, 442, 35329551);
    Insert into BUILDINGSV
       (BUILDING_ID, INVALID, ROUTE_ID, LOCALITY_ID, SEQUENCE_NO, THORFARE_ID)
    Values
       (35329191, 'N', 3405, 35329152, 436, 35329181);
    COMMIT;
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (0, 'OSIUNKNOWN');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (9002284, 'THE GROVE');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (9002364, 'DUBLIN ROAD');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (9002375, 'NEWTOWN ROAD');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35291872, 'HAZELHATCH ROAD');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35291878, 'SIMMONSTOWN PARK');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35291883, 'PRIMROSE HILL');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35329181, 'THE COPSE');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35329213, 'THE COURT');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35329529, 'THE CRESCENT');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35329551, 'THE LAWNS');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35329580, 'THE DRIVE');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35417271, 'TEMPLEMILLS COTTAGES');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (35417360, 'CHELMSFORD');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (36500023, 'THE CLOSE');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (36500101, 'THE GREEN');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (37375569, 'THE DOWNS');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (37375595, 'THE PARK');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (37375754, 'THE AVENUE');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (37375781, 'THE VIEW');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (37376046, 'THE CRESCENT');
    Insert into THORV
       (THORFARE_ID, THORFARE_NAME)
    Values
       (37376048, 'THE GLADE');
    COMMIT;
    Insert into LOCV
       (LOCALITY_ID, NAME)
    Values
       (34224751, 'SIMMONSTOWN');
    Insert into LOCV
       (LOCALITY_ID, NAME)
    Values
       (35417256, 'TEMPLEMILLS');
    Insert into LOCV
       (LOCALITY_ID, NAME)
    Values
       (35329152, 'TEMPLE MANOR');
    Insert into LOCV
       (LOCALITY_ID, NAME)
    Values
       (37382613, 'CELBRIDGE');
    Insert into LOCV
       (LOCALITY_ID, NAME)
    Values
       (37375570, 'SAINT WOLSTAN''S ABBEY');
    COMMIT;
    ------------------------------------------------------------------------------Now the query with wrong result:
    select decode(th.thorfare_name,'OSIUNKNOWN',NULL,th.thorfare_name)
               THOR,
                l.name LOC,
                b.sequence_no SEQ,
               CASE WHEN th.thorfare_name = LAG (th.thorfare_name)
                OVER (order by b.sequence_no)
                or th.thorfare_name = LEAD (th.thorfare_name)
                OVER (order by b.sequence_no)
                THEN  COUNT(b.sequence_no) OVER (partition by th.thorfare_name,l.name order BY b.sequence_no
              ELSE 1
              END COUNT   from BUILDINGSV b,THORV th,LOCV l                 
    where   th.thorfare_id = b.thorfare_id
    and    nvl(b.invalid,'N')='N'
    and    b.route_id=3405
    and    b.locality_id =l.locality_id(+)
    order by b.sequence_no;The query result -WRONG (only first few lines)
    THOR                        LOC        SEQ    COUNT
    DUBLIN ROAD     CELBRIDGE    1     1
    NEWTOWN ROAD     CELBRIDGE        2     1
    NEWTOWN ROAD     CELBRIDGE        5     2
    THE GROVE     CELBRIDGE        6     1
    NEWTOWN ROAD     CELBRIDGE        7     3
    NEWTOWN ROAD     CELBRIDGE        9     4
    NEWTOWN ROAD     CELBRIDGE       10     5
    NEWTOWN ROAD     CELBRIDGE       11     6
    NEWTOWN ROAD     CELBRIDGE       12     7
    DUBLIN ROAD     CELBRIDGE       15     1
    PRIMROSE HILL     CELBRIDGE       43     1
    PRIMROSE HILL     CELBRIDGE       44     2
    DUBLIN ROAD     CELBRIDGE       52     3
    DUBLIN ROAD     CELBRIDGE       55     4
    DUBLIN ROAD     CELBRIDGE       56     5
    DUBLIN ROAD     CELBRIDGE       57     6
    DUBLIN ROAD     CELBRIDGE       58     7
    PRIMROSE HILL     CELBRIDGE       61     3
    PRIMROSE HILL     CELBRIDGE       62     4
    HAZELHATCH ROAD     CELBRIDGE       64     1
    HAZELHATCH ROAD     CELBRIDGE       65     2The query result -EXPECTED (only first few lines)
    THOR                     LOC     COUNT
    DUBLIN ROAD     CELBRIDGE      1
    NEWTOWN ROAD     CELBRIDGE      2
    THE GROVE     CELBRIDGE      1
    NEWTOWN ROAD     CELBRIDGE      5
    DUBLIN ROAD     CELBRIDGE      1
    PRIMROSE HILL     CELBRIDGE      2
    DUBLIN ROAD     CELBRIDGE      5
    PRIMROSE HILL     CELBRIDGE      2
    HAZELHATCH ROAD     CELBRIDGE      2Please note, in the expected result, I only need 1 row but need to show the total count of rows until the names change.
    So the issues are
    1) the count column values are wrong in my query.
    2)I dont want to repeat the same rows(Please see EXPECTED output and compare it against the original)
    3)Want the output in exactly same way as in EXPECTED OUTPUT as I dont want to group by thor name(Eg. I dont want the count for all DUBLIN ROAD but I want to examine rows for the next one, if THOR/LOC combination is different in next row then COUNT=1 else COUNT=Count of no. of rows for that thor/loc combination until the combination change -So there are same value multiple rows which i need to show it in 1 row with the total count)
    I am explaining below this in more detail!!
    I only need 1 row per same THOR/LOC names coming multiple times but I need the count shown against that 1 row(i.e COUNT= how many rows with same thor/loc combination until THOR/LOC combo changes value).
    Then repeat the process until all rows are finished..
    If there is no multiple row with same THOR/LOC coming in the following row-i.e the following row is a different THOR/LOC combination, then the count for that row is 1.
    Hope this is clear.
    Is this doable?
    Thanks in advance.
    Edited by: Krithi on 04-Nov-2010 07:45
    Edited by: Krithi on 04-Nov-2010 07:45
    Edited by: Krithi on 04-Nov-2010 08:31

  • How can I restrict the rows of a SELECT which uses analytical functions?

    Hello all,
    Can anyone please tell me how to restrict the following query:
    SELECT empno,
    ename,
    deptno,
    SUM(sal) over(PARTITION BY deptno) sum_per_dept
    FROM emp;
    I would need just the lines which have sum_per_dept>100, without using a SUBSELECT.
    Is there any way which is specific for analytical functions?
    Thank you in advance,
    Eugen
    Message was edited by:
    misailescu

    SQL> select empno,
      2  ename,
      3  deptno,sum_per_dept
      4  from
      5  (
      6  SELECT empno,
      7  ename,
      8  deptno,
      9  SUM(sal) over(PARTITION BY deptno) sum_per_dept
    10  FROM emp
    11  )
    12  where sum_per_dept>1000;
    EMPNO ENAME      DEPTNO SUM_PER_DEPT
    7839 KING           10         8750
    7782 CLARK          10         8750
    7934 MILLER         10         8750
    7902 FORD           20         6775
    7369 SMITH          20         6775
    7566 JONES          20         6775
    7900 JAMES          30         9400
    7844 TURNER         30         9400
    7654 MARTIN         30         9400
    7521 WARD           30         9400
    7499 ALLEN          30         9400
    7698 BLAKE          30         9400
    12 rows selected
    SQL>
    SQL> select empno,
      2  ename,
      3  deptno,sum_per_dept
      4  from
      5  (
      6  SELECT empno,
      7  ename,
      8  deptno,
      9  SUM(sal) over(PARTITION BY deptno) sum_per_dept
    10  FROM emp
    11  )
    12  where sum_per_dept>9000;
    EMPNO ENAME      DEPTNO SUM_PER_DEPT
    7900 JAMES          30         9400
    7844 TURNER         30         9400
    7654 MARTIN         30         9400
    7521 WARD           30         9400
    7499 ALLEN          30         9400
    7698 BLAKE          30         9400
    6 rows selected
    SQL> Greetings...
    Sim

  • Select value of most occurances - analytical function?!

    Hi ...
    I've get stuck with a "little" problem.
    I try to provide some testing code for this:
    CREATE TABLE a1 (
         id NUMBER(8),
         val NUMBER(6),
         title VARCHAR2(16),
         CONSTRAINT test_pk PRIMARY KEY(id)
    INERT INTO a1 (id, val, title) VALUES (1,12,'c');
    INERT INTO a1 (id, val, title) VALUES (2,13,'b');
    INERT INTO a1 (id, val, title) VALUES (3,13,'a');
    INERT INTO a1 (id, val, title) VALUES (4,13,'a');
    INERT INTO a1 (id, val, title) VALUES (5,42,'a');
    INERT INTO a1 (id, val, title) VALUES (6,42,'b');
    INERT INTO a1 (id, val, title) VALUES (7,42,'b');Actually the table is much bigger ;) But this should be ok for this question. It already exist a query like:
    SELECT
         count(*) -- just an example
    FROM
         a1
    GROUP BY
         val
    -- should return 1,3,3 (for the groups val=12, val=13,val=42)Now it is nessecary to select a title for each group (specified by group by). And there the title which occurs the most in this group should be selected. For this example this are 'c' for the group val=12 .. 'a' for the group val=13 and finally 'b' for the group val=42.
    I tried to use some anayltical function, but I#m not able to get this to work - may be because I never used analytical functions before. If I try something I mostly get an error: Keyword FROM not at expected position (ORA-00923). I searched for some tutorial/howto documentations where my problem is handled but without success. So I guess the syntax and the way to understand analytical functions is not as easy as it semms to be ...
    title OVER ( ORDER BY count(*) ROWS | RANGE BETWEEN 1 AND 1 ) <-- that would by logical for my brain, but not for oracles ;-)
    Can somebody help?
    Thanks!

    Hi folks,
    thanks for the variuos answers! Weekend is over, so we should work on ...
    I tried some examples you gave me. And I decide to provide more detailes information! At first, if the amount of 'a' and 'b' is equal it doesn't matter which one will be returned (so it can be undefined, if that makes thing easier). I will now paste the original query I work with and I add some comments for you - so you can find the lines which should be changed to return the most occurances-value.
    If you think it makes sense to Provide some create-table ddl an (maybe as csv file) some data, tell me how i can do that (I think its not an option to post ~ Mio rows as Inserts here).
    The select-query I want to manipulate - this is no more related to our test-table 'a1' !! For Example let us look on the rows where 'A' and 'drm_' is selected - starts at line 7!
    SELECT
      box_id,
      schedule_id,
      fixsecs_down(MIN(acqtime),600),
      COUNT(*), -- each row in rfm_meas_hr represents one frame of measuremnt-data, so this represents the number of frames received in this block
      -- instead of 'A' the most occurance of the col 'rpro' should be selected here
      'A',
      -- like above, but from the column 'rdmo'
      'drm_',
      -- below this some other cols are calculated/selected, not important here
      FLOOR(MEDIAN(rfre)),
      ROUND(AVG(rdbv),2),
      ROUND(SUM(POWER(rdbv,2)),2),
      ROUND(MAX(rdbv),2),
      ROUND(MIN(rdbv),2),
      ROUND(SUM(rsnr)/SUM(nframes),2),
      ROUND(SUM(POWER(rsnr,2)),2),
      ROUND(MAX(rsnr),2),
      ROUND(MIN(rsnr),2),
      ROUND( AVG(rsta_sync),2), -- rsta_sync
      ROUND(SUM(POWER(rsta_sync,2)),2), -- rsta_sync_s
      ROUND( MIN(rsta_sync),2), -- rsta_sync_min
      ROUND( MAX(rsta_sync),2), -- rsta_sync_max
      ROUND( AVG(rsta_fac),2), -- rsta_facc
      ROUND(SUM(POWER(rsta_fac,2)),2), -- rsta_fac_s
      ROUND( MIN(rsta_fac),2), -- rsta_fac_min
      ROUND( MAX(rsta_fac),2), -- rsta_fac_max
      ROUND( AVG(rsta_sdc),2), -- rsta_sdc
      ROUND(SUM(POWER(rsta_sdc,2)),2), -- rsta_sdc_s
      ROUND( MIN(rsta_sdc),2), -- rsta_sdc_min
      ROUND( MAX(rsta_sdc),2), -- rsta_sdc_max
      ROUND( AVG(rsta_audio),2), -- rsta_audio
      ROUND(SUM(POWER(rsta_audio,2)),2), -- rsta_audio_s
      ROUND( MIN(rsta_audio),2), -- rsta_audio_min
      ROUND( MAX(rsta_audio),2), -- rsta_audio_max
      MIN(rser), TODO:  most occurances
      MIN(rtty_stream0), -- TODO:  most occurances
      MIN(rtty_stream1), -- TODO:  most occurances
      MIN(rtty_stream2), -- TODO:  most occurances
      MIN(rtty_stream3), -- TODO:  most occurances
      ROUND(AVG(NVL(rafs_error/nullif(rafs_au,0),1))*SUM(rafs_au)/NULLIF(SUM(rafs_au),0),2), -- rafs
      ROUND( SUM( POWER(  NVL(rafs_error/nullif(rafs_au,0),1),2))*SUM(rafs_au)/NULLIF(SUM(rafs_au),0) ,2), -- rafs_s
      ROUND(MIN(rafs_error/ NULLIF(rafs_au,0)),2), -- rafs_min
      ROUND(MAX(NVL(rafs_error/NULLIF(rafs_au,0),1) )*SUM(rafs_au)/NULLIF(SUM(rafs_au),0),2), -- rafs_max
      SUM(robm_A),
      SUM(robm_B),
      SUM(robm_C),
      SUM(robm_D),
      SUM(robm_E),
      ROUND(SUM(rwmf) / SUM(nframes),2), -- rwmf
      ROUND(SUM(POWER(rwmf,2)),2), -- rwmf_s
      ROUND(MIN(rwmf),2), -- rwmf_min
      ROUND(MAX(rwmf),2), -- rwmf_max
      ROUND(SUM(rwmm) / SUM(nframes),2), -- rwmm
      ROUND(SUM(POWER(rwmm,2)),2), -- rwmm_s
      ROUND(MIN(rwmm),2), -- rwmm_min
      ROUND(MAX(rwmm),2), -- rwmm_max
      ROUND(SUM(rmer) / SUM(nframes),2), -- rmer
      ROUND(SUM(POWER(rmer,2)),2), -- rmer_s
      ROUND(MIN(rmer),2), -- rmer_min
      ROUND(MAX(rmer),2), -- rmer_max
      ROUND(SUM(RBP0_ERRS+ RBP1_ERRS+ RBP2_ERRS+ RBP3_ERRS) / NULLIF(SUM(RBP0_BITS+ RBP1_BITS+ RBP2_BITS+ RBP3_BITS),0) ,10), -- ber
      ROUND(SUM(POWER( (RBP0_ERRS+ RBP1_ERRS+ RBP2_ERRS+ RBP3_ERRS) / NULLIF((RBP0_BITS+ RBP1_BITS+ RBP2_BITS+ RBP3_BITS),0) ,2)),10), -- ber_s
      ROUND(MIN(RBP0_ERRS+ RBP1_ERRS+ RBP2_ERRS+ RBP3_ERRS) / NULLIF(MIN(RBP0_BITS+ RBP1_BITS+ RBP2_BITS+ RBP3_BITS),0) ,10), -- ber_min
      ROUND(MAX(RBP0_ERRS+ RBP1_ERRS+ RBP2_ERRS+ RBP3_ERRS) / NULLIF(MAX(RBP0_BITS+ RBP1_BITS+ RBP2_BITS+ RBP3_BITS),0) ,10), -- ber_max
      ROUND(AVG(rdop),2), -- rdop
      ROUND(SUM(POWER(rdop,2) ),2), -- rdop_s
      ROUND(MIN(rdop),2), -- rdop_min
      ROUND(MAX(rdop),2), -- rdop_max
      ROUND(AVG(rdel90),2), -- rdel90
      ROUND(SUM(POWER(rdel90,2) ),2), -- rdel90_s
      ROUND(MIN(rdel90),2), -- rdel90_min
      ROUND(MAX(rdel90),2), -- rdel90_max
      ROUND(AVG(rdel95),2), -- rdel95
      ROUND(AVG(rdel99),2), -- rdel99
      null AS reslevel
    FROM
    -- select the data where this should be calculated
        SELECT
        FROM
          rfm_meas_hr
        WHERE
          acqtime < fixsecs_down(to_timestamp('07-01-2011 14:00:00,00','dd-mm-yyyy hh24:mi:ss,ff'),600)
          AND (reslevel IS NULL OR reslevel=10)
    -- group the selected data and executes the calculation given by SELECT-statement
    GROUP BY
      -- group the data into 10min packages, indicated by its timestamp
      to_char( EXTRACT(MONTH FROM acqtime)*100000 + EXTRACT(DAY FROM acqtime)*1000 + EXTRACT(HOUR FROM acqtime)*10 + floor(EXTRACT(MINUTE FROM acqtime)/10) ),
      schedule_id,
      box_id
    HAVING
      SUM(nframes)>15
    ;I chould say: I can add indexes if nessecary! At the moment there is one on (acqtime, reslevel) as this improves the access speed. But the query above, executed on typical data already takes 5-7 sec.
    Please let me know if you need any more information.
    Regards!

  • Aggregation of analytic functions not allowed

    Hi all, I have a calculated field called Calculation1 with the following calculation:
    AVG(Resolution_time) KEEP(DENSE_RANK FIRST ORDER BY RANK ) OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report #7 COMPL".Resource Name )
    The result of this calculation is correct, but is repeated for all the rows I have in the dataset.
    Group Name      Resourse name    Calculation1
    SH Group            Mr. A            10
    SH Group            Mr. A            10
    SH Group            Mr. A            10
    SH Group            Mr. A            10
    SH Group            Mr. A            10
    5112 rowsI tried to create another calculation in order to have only ONE value for the couple "Group Name, Resource Name) as AVG(Calculation1) but I have the error: Aggregation of analytic functions not allowed
    I saw also inside the "Edit worksheet" panel that the Calculation1 *is not represented* with the "Sigma" symbol I(as for example a simple AVG(field_1)) and inside the SQL code I don't have GROUP BY Group Name, Resource Name......
    I'd like to see ONLY one row as:
    Group Name      Resourse name    Calculation1
    SH Group            Mr. A            10....that it means I grouped by Group Name, Resource Name
    Anyone knows how can I achieve this result or any workarounds ??
    Thanks in advance
    Alex

    Hi Rod unfortunately I can't use the AVG(Resolution_time) because my dataset is quite strange...I explain to you better.
    Ι start from this situation:
    !http://www.freeimagehosting.net/uploads/6c7bba26bd.jpg!
    There are 3 calculated fields:
    RANK is the first calculated field:
    ROW_NUMBER() OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report Assigned To & Created By COMPL".Resource Name,"Tickets Report Assigned To & Created By COMPL".Incident Id  ORDER BY  "Tickets Report Assigned To & Created By COMPL".Select Flag )
    RT Calc is the 2nd calculation:
    CASE WHEN RANK = 1 THEN Resolution_time END
    and Calculation2 is the 3rd calculation:
    AVG(Resolution_time) KEEP(DENSE_RANK FIRST ORDER BY  RANK ) OVER(PARTITION BY "User's Groups COMPL".Group Name,"Tickets Report Assigned To & Created By COMPL".Resource Name )
    As you can see, from the initial dataset, I have duplicated incident id and a simple AVG(Resolution Time) counts also all the duplication.
    I used the rank (based on the field "flag) to take, for each ticket, ONLY a "resolution time" value (in my case I need the resolution time when the rank =1)
    So, with the Calculation2 I calculated for each couple Group Name, Resource Name the right AVG(Resolution time), but how yuo can see....this result is duplicated for each incident_id....
    What I need instead is to see *once* for each couple 'Group Name, Resource Name' the AVG(Resolution time).
    In other words I need to calculate the AVG(Resolution time) considering only the values written inside the RT Calc fields (where they are NOT NULL, and so, the total of the tickets it's not 14, but 9).
    I tried to aggregate again using AVG(Calculation2)...but I had the error "Aggregation of analytic functions not allowed"...
    Do you know a way to fix this problem ?
    Thanks
    Alex

  • Replacing Oracle's FIRST_VALUE and LAST_VALUE analytical functions.

    Hi,
    I am using OBI 10.1.3.2.1 where, I guess, EVALUATE is not available. I would like to know alternatives, esp. to replace Oracle's FIRST_VALUE and LAST_VALUE analytical functions.
    I want to track some changes. For example, there are four methods of travel - Air, Train, Road and Sea. Would like to know traveler's first method of traveling and the last method of traveling in an year. If both of them match then a certain action is taken. If they do not match, then another action is taken.
    I tried as under.
    1. Get Sequence ID for each travel within an year per traveler as Sequence_Id.
    2. Get the Lowest Sequence ID (which should be 1) for travels within an year per traveler as Sequence_LId.
    3. Get the Highest Sequence ID (which could be 1 or greater than 1) for travels within an year per traveler as Sequence_HId.
    4. If Sequence ID = Lowest Sequence ID then display the method of travel as First Method of Travel.
    5. If Sequence ID = Highest Sequence ID then display the method of travel as Latest Method of Travel.
    6. If First Method of Travel = Latest Method of Travel then display Yes/No as Match.
    The issue is cells could be blank in First Method of Travel and Last Method of Travel unless the traveler traveled only once in an year.
    Using Oracle's FIRST_VALUE and LAST_VALUE analytical functions, I can get a result like
    Traveler | Card Issue Date | Journey Date | Method | First Method of Travel | Last Method of Travel | Match?
    ABC | 01/01/2000 | 04/04/2000 | Road | Road | Air | No
    ABC | 01/01/2000 | 15/12/2000 | Air | Road | Air | No
    XYZ | 01/01/2000 | 04/05/2000 | Train | Train | Train | Yes
    XYZ | 01/01/2000 | 04/11/2000 | Train | Train | Train | Yes
    Using OBI Answers, I am getting something like this.
    Traveler | Card Issue Date | Journey Date | Method | First Method of Travel | Last Method of Travel | Match?
    ABC | 01/01/2000 | 04/04/2000 | Road | Road | <BLANK> | No
    ABC | 01/01/2000 | 15/12/2000 | Air | <BLANK> | Air | No
    XYZ | 01/01/2000 | 04/05/2000 | Train | Train | <BLANK> | No
    XYZ | 01/01/2000 | 04/11/2000 | Train | <BLANK> | Train | No
    Above, for XYZ traveler the Match? clearly shows a wrong result (although somehow it's correct for traveler ABC).
    Would appreciate if someone can guide me how to resolve the issue.
    Many thanks,
    Manoj.
    Edited by: mandix on 27-Nov-2009 08:43
    Edited by: mandix on 27-Nov-2009 08:47

    Hi,
    Just to recap, in OBI 10.1.3.2.1, I am trying to find an alternative way to FIRST_VALUE and LAST_VALUE analytical functions used in Oracle. Somehow, I feel it's achievable. I would like to know answers to the following questions.
    1. Is there any way of referring to a cell value and displaying it in other cells for a reference value?
    For example, can I display the First Method of Travel for traveler 'ABC' and 'XYZ' for all the rows returned in the same column, respectively?
    2. I tried RMIN, RMAX functions in the RDP but it does not accept "BY" clause (for example, RMIN(Transaction_Id BY Traveler) to define Lowest Sequence Id per traveler). Am I doing something wrong here? Why can a formula with "BY" clause be defined in Answers but not the RPD? The idea is to use this in Answers. This is in relation to my first question.
    Could someone please let me know?
    I understand that this thread that I have posted is related to something that can be done outside OBI, but still would like to know.
    If anything is not clear please let me know.
    Thanks,
    Manoj.

  • Completion of data series by analytical function

    I have the pleasure of learning the benefits of analytical functions and hope to get some help
    The case is as follows:
    Different projects gets funds from different sources over several years, but not from each source every year.
    I want to produce the cumulative sum of funds for each source for each year for each project, but so far I have not been able to do so for years without fund for a particular source.
    I have used this syntax:
    SUM(fund) OVER(PARTITION BY project, source ORDER BY year ROWS UNBOUNDED PRECEDING)
    I have also experimented with different variations of the window clause, but without any luck.
    This is the last step in a big job I have been working on for several weeks, so I would be very thankful for any help.

    If you want to use Analytic functions and if you are on 10.1.3.3 version of BI EE then try using Evaluate, Evaluate_aggr that support native database functions. I have blogged about it here http://oraclebizint.wordpress.com/2007/09/10/oracle-bi-ee-10133-support-for-native-database-functions-and-aggregates/. But in your case all you might want to do is have a column with the following function.
    SUM(Measure BY Col1, Col2...)
    I have also blogged about it here http://oraclebizint.wordpress.com/2007/10/02/oracle-bi-ee-101332-varying-aggregation-based-on-levels-analytic-functions-equivalence/.
    Thanks,
    Venkat
    http://oraclebizint.wordpress.com

  • Analytic function to retrieve a value one year ago

    Hello,
    I'm trying to find an analytic function to get a value on another row by looking on a date with Oracle 11gR2.
    I have a table with a date_id (truncated date), a flag and a measure. For each date, I have at least one row (sometimes 2), so it is gapless.
    I would like to find analytic functions to show for each date :
    sum of the measure for that date
    sum of the measure one week ago
    sum of the measure one year ago
    As it is gapless I managed to do it the week doing a group by date in a subquery and using a LAG with offset set to 7 on top of it (see below).
    However I'm struggling on how to do that for the data one year ago as we might have leap years. I cannot simply set the offset to 365.
    Is it possible to do it with a RANGE BETWEEN window clause? I can't manage to have it working with dates.
    Week :LAG with offset 7
    SQL Fiddle
    or
    create table daily_counts
      date_id date,
      internal_flag number,
      measure1 number
    insert into daily_counts values ('01-Jan-2013', 0, 8014);
    insert into daily_counts values ('01-Jan-2013', 1, 2);
    insert into daily_counts values ('02-Jan-2013', 0, 1300);
    insert into daily_counts values ('02-Jan-2013', 1, 37);
    insert into daily_counts values ('03-Jan-2013', 0, 19);
    insert into daily_counts values ('03-Jan-2013', 1, 14);
    insert into daily_counts values ('04-Jan-2013', 0, 3);
    insert into daily_counts values ('05-Jan-2013', 0, 0);
    insert into daily_counts values ('05-Jan-2013', 1, 1);
    insert into daily_counts values ('06-Jan-2013', 0, 0);
    insert into daily_counts values ('07-Jan-2013', 1, 3);
    insert into daily_counts values ('08-Jan-2013', 0, 33);
    insert into daily_counts values ('08-Jan-2013', 1, 9);
    commit;
    select
        date_id,
        total1,
        LAG(total1, 7) OVER(ORDER BY date_id) total_one_week_ago
      from
          select
            date_id,
            SUM(measure1) total1
          from daily_counts
          group by date_id
    order by 1;
    Year : no idea?
    I can't give a gapless example, would be too long but if there is a solution with the date directly :
    SQL Fiddle
    or add this to the schema above :
    insert into daily_counts values ('07-Jan-2012', 0, 11);
    insert into daily_counts values ('07-Jan-2012', 1, 1);
    insert into daily_counts values ('08-Jan-2012', 1, 4);
    Thank you for your help.
    Floyd

    Hi,
    Sorry, I;m not sure I understand the problem.
    If you are certain that there is at least 1 row for every day, then you can be sure that the GROUP BY will produce exactly 1 row per day, and you can use LAG (total1, 365) just like you already use LAG (total1, 7).
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    date_id - ADD_MONTHS (date_id, -12)
    instead of  365.
    LAG only works with an exact number, but you can use RANGE BETWEEN with other analytic functions, such as MIN or SUM:
    SELECT DISTINCT
              date_id
    ,         SUM (measure1) OVER (PARTITION BY date_id)    AS total1
    ,         SUM (measure1) OVER ( ORDER BY      date_id
                                    RANGE BETWEEN 7 PRECEDING
                                          AND     7 PRECEDING
                                  )                       AS total1_one_week_ago
    ,         SUM (measure1) OVER ( ORDER BY      date_id
                                    RANGE BETWEEN 365 PRECEDING
                                          AND     365 PRECEDING
                                  )                       AS total1_one_year_ago
    FROM      daily_counts
    ORDER BY  date_id
    Again, use date arithmetic instead of the hard-coded 365, if that's an issue.
    As Hoek said, it really helps to post the exact results you want from the given sample data.  You're miles ahead of the people who don't even post the sample data, though.
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    -- Put a 0 into the table for every day in 2012
    INSERT INTO daily_counts (date_id, measure1)
    SELECT  DATE '2011-12-31' + LEVEL
    ,       0
    FROM    dual
    CONNECT BY LEVEL <= 366

  • Analytical function in OWB 10.2.0.4.0

    Dear -
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    My SQL query looks like
    select sum (aamtorg),
    sum(sum(aamtorg)) over
    (order by cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
    cmgmint, cbasent, cbok, tamtlbl,
    cctygbk, caffgbk, dacggll, dctx
    rows between unbounded preceding and current row) cumulative_amountcctybbl
    from fmbnd_evt
    where cbssuntgbk = 'FM001'
    and caccgbk = '14300000029'
    and caccroo = '9146581'
    and ccrytrngbk = 'AUD'
    and creftrl = '~'
    and cmgmint = '~'
    and cbasent = 'U2725'
    and cbok = '0000'
    and tamtlbl = '~'
    and dacggll between '01aug2011' and '04aug11'
    group by cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
    cmgmint, ctrdnbmgint, cbasent, cbok, tamtlbl,
    cctygbk, caffgbk, dacggll, dctx
    I want to implement cumulative_amountcctybb column in the mapping.
    Can anyone help?

    Hi Arun,
    analytical functions don't require GROUP BY clause and that's why you can use an expression operator. You also have a normal SUM (aggregate) function in your query, which requires GROUP BY and can only be implemented using aggregator operator. If I understand your problem correctly, you need to use aggregate SUM with GROUP BY on your data set first, and then use analytical SUM on this set (which is already processed with an aggregate SUM). Your query would look something like this:
    select sum_aamtorg,
    sum(sum_aamtorg) over
    (order by cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
    cmgmint, cbasent, cbok, tamtlbl,
    cctygbk, caffgbk, dacggll, dctx
    rows between unbounded preceding and current row) cumulative_amountcctybbl
    from (
    select sum (aamtorg) sum_aamtorg,
    cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
    cmgmint, cbasent, cbok, tamtlbl,
    cctygbk, caffgbk, dacggll, dctx
    from fmbnd_evt
    where cbssuntgbk = 'FM001'
    and caccgbk = '14300000029'
    and caccroo = '9146581'
    and ccrytrngbk = 'AUD'
    and creftrl = '~'
    and cmgmint = '~'
    and cbasent = 'U2725'
    and cbok = '0000'
    and tamtlbl = '~'
    and dacggll between '01aug2011' and '04aug11'
    group by cbssuntgbk, caccgbk, caccroo, ccrytrngbk, creftrl,
    cmgmint, ctrdnbmgint, cbasent, cbok, tamtlbl,
    cctygbk, caffgbk, dacggll, dctx)
    Operator sequence would then look like: TABLE -> FILTER -> AGGREGATOR ->EXPRESSION.
    Hope this helps
    Mate
    Edited by: mate on Sep 26, 2011 1:36 PM
    Edited by: mate on Sep 26, 2011 1:36 PM

  • How to use group by in analytic function

    I need to write department which has minimum salary in one row. It must be with analytic function but i have problem with group by. I can not use min() without group by.
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    Edited by: senza on 6.11.2009 16:09

    different query, different results.
    LPALANI@l11gr2>select department_id, min(salary)
      2  from hr.employees
      3  group by department_id
      4  order by 2;
       DEPARTMENT_ID      MIN(SALARY)
                  50            2,100
                  20            2,100
                  30            2,500
                  60            4,200
                  10            4,400
                  80            6,100
                  40            6,500
                 100            6,900
                                7,000
                 110            8,300
                  70           10,000
                  90           17,000
    12 rows selected.
    LPALANI@l11gr2>
    LPALANI@l11gr2>-- Always lists one department in a non-deterministic way
    LPALANI@l11gr2>select * from (
      2  select department_id, min(salary) min_salary
      3  from hr.employees
      4  group by department_id
      5  order by 2) where rownum = 1;
       DEPARTMENT_ID       MIN_SALARY
                  20            2,100
    LPALANI@l11gr2>
    LPALANI@l11gr2>-- Out of the departments with the same least salary, returns the one with the least department number
    LPALANI@l11gr2>SELECT   MIN (department_id) KEEP (DENSE_RANK FIRST ORDER BY salary) AS dept_with_lowest_sal, min(salary) min_salary
      2  FROM        hr.employees;
    DEPT_WITH_LOWEST_SAL       MIN_SALARY
                      20            2,100
    LPALANI@l11gr2>
    LPALANI@l11gr2>-- This will list all the deparments with the minimum salary
    LPALANI@l11gr2>select department_id, min_salary
      2  from (select
      3  department_id,
      4  min(salary) min_salary,
      5  RANK() OVER (ORDER BY min(salary) ASC) RN
      6            from hr.employees
      7            group by department_id)
      8  WHERE rn=1;
       DEPARTMENT_ID       MIN_SALARY
                  20            2,100
                  50            2,100

  • Does sql analytic function help to determine continuity in occurences

    We need to solve this problem in a sql statement.
    imagine a table test with two columns
    create table test (id char(1), begin number, end number);
    and these values
    insert into test('a',1, 2);
    insert into test('a',2,3);
    insert into test('a',3,4);
    insert into test('a',7,10);
    insert into test('a',10,15);
    insert into test('b',5,9);
    insert into test('b',9,21);
    insert into test('c',1,5);
    our goal is to determine continuity in number sequence between begin and end attributes for a same id and determine min and max number from these contuinity chains.
    The result may be
    a, 1, 4
    a, 7, 15
    b, 5, 21
    c, 1, 5
    We test some analytic functions like lag, lead, row_number, min, max, partition by, etc to search a way to identify row set that represent a continuity but we didn't find a way to identify (mark) them so we can use min and max functions to extract extreme values.
    Any idea is really welcome !

    Here is our implementation in a real context for example:
    insert into requesterstage(requesterstage_i, requester_i, t_requesterstage_i, datefrom, dateto )
    With ListToAdd as
    (Select distinct support.requester_i,
    support.datefrom,
    support.dateto
    from support
    where support.datefrom < to_date('01.01.2006', 'dd.mm.yyyy')
    and support.t_relief_i = t_relief_ipar.fgetflextypologyclassitem_i(t_relief_ipar.fismedicalexpenses)
    and not exists
    (select null
    from requesterstage
    where requesterstage.requester_i = support.requester_i
    and support.datefrom < nvl(requesterstage.dateto, support.datefrom + 1)
    and nvl(support.dateto, requesterstage.datefrom + 1) > requesterstage.datefrom)
    ListToAddAnalyzed_1 as
    (select requester_i,
    datefrom,
    dateto,
    decode(datefrom,lag(dateto) over (partition by requester_i order by datefrom),0,1) data_set_start
    from ListToAdd),
    ListToAddAnalyzed_2 as
    (select requester_i,
    datefrom,
    dateto,
    data_set_start,
    sum(data_set_start) over(order by requester_i, datefrom ) data_set_id
    from ListToAddAnalyzed_1)
    select requesterstage_iseq.nextval,
    requester_i,
    t_requesterstage_ipar.fgetflextypologyclassitem_i(t_requesterstage_ipar.fisbefore2006),
    datefrom,
    decode(sign(nvl(dateto, to_date('01.01.2006', 'dd.mm.yyyy')) -to_date('01.01.2006', 'dd.mm.yyyy')), 0, to_date('01.01.2006', 'dd.mm.yyyy'), -1, dateto, 1, to_date('01.01.2006', 'dd.mm.yyyy'))
    from ( select requester_i
    , min(datefrom) datefrom
    , max(dateto) dateto
    From ListToAddAnalyzed_2
    group by requester_i, data_set_id
    );

  • Analytic Functions with GROUP-BY Clause?

    I'm just getting acquainted with analytical functions. I like them. I'm having a problem, though. I want to sum up the results, but either I'm running into a limitation or I'm writing the SQL wrong. Any hints for me?
    Hypothetical Table SALES consisting of a DAY_ID, PRODUCT_ID, PURCHASER_ID, PURCHASE_PRICE lists all the
    Hypothetical Business Question: Product prices can fluctuate over the course of a day. I want to know how much per day I would have made had I sold one each of all my products at their max price for that day. Silly question, I know, but it's the best I could come up with to show the problem.
    INSERT INTO SALES VALUES(1,1,1,1.0);
    INSERT INTO SALES VALUES(1,1,1,2.0);
    INSERT INTO SALES VALUES(1,2,1,3.0);
    INSERT INTO SALES VALUES(1,2,1,4.0);
    INSERT INTO SALES VALUES(2,1,1,5.0);
    INSERT INTO SALES VALUES(2,1,1,6.0);
    INSERT INTO SALES VALUES(2,2,1,7.0);
    INSERT INTO SALES VALUES(2,2,1,8.0);
    COMMIT;
    Day 1: Iif I had sold one product 1 at $2 and one product 2 at $4, I would have made 6$.
    Day 2: Iif I had sold one product 1 at $6 and one product 2 at $8, I would have made 14$.
    The desired result set is:
    DAY_ID                 MY_MEASURE
    1                        6
    1                       14The following SQL gets me tantalizingly close:
    SELECT DAY_ID,
      MAX(PURCHASE_PRICE)
      KEEP(DENSE_RANK FIRST ORDER BY PURCHASE_PRICE DESC)
      OVER(PARTITION BY DAY_ID, PRODUCT_ID) AS MY_MEASURE
      FROM SALES
    ORDER BY DAY_ID
    DAY_ID                 MY_MEASURE
    1                      2
    1                      2
    1                      4
    1                      4
    2                      6
    2                      6
    2                      8
    2                      8But as you can see, my result set is "longer" than I wanted it to be. I want a single row per DAY_ID. I understand what the analytical functions are doing here, and I acknowledge that I am "not doing it right." I just can't seem to figure out how to make it work.
    Trying to do a sum() of max() simply does not work, nor does any semblance of a group-by clause that I can come up with. Unfortunately, as soon as I add the windowing function, I am no longer allowed to use group-by expressions (I think).
    I am using a reporting tool, so unfortunately using things like inline views are not an option. I need to be able to define "MY_MEASURE" as something the query tool can apply the SUM() function to in its generated SQL.
    (Note: The actual problem is slightly less easy to conceptualize, but solving this conundrum will take me much closer to solving the other.)
    I humbly solicit your collective wisdom, oh forum.

    Thanks, SY. I went that way originally too. Unfortunately that's no different from what I could get without the RANK function.
    SELECT  DAY_ID,
            PRODUCT_ID,
            MAX(PURCHASE_PRICE) MAX_PRICE
      FROM  SALES
      GROUP BY DAY_ID,
               PRODUCT_ID
      ORDER BY DAY_ID,
               PRODUCT_ID
    DAY_ID                 PRODUCT_ID             MAX_PRICE             
    1                      1                      2                     
    1                      2                      4                     
    2                      1                      6                     
    2                      2                      8

  • Need valuable guidance to make a peformance oriented query, trying to replace unions with analytical function

    Hi,
       Please find below table structure and insert scritps. Requesting for vluable help.
    create table temp2 (col1 number,col2 varchar2(10),col3 number,col4 varchar2(20));
    insert into temp2 values (1,'a',100,'vvv');
    insert into temp2 values (2,'b',200,'www'); 
    insert into temp2 values (3,'c',300,'xxx');
    insert into temp2 values (4,'d',400,'yyy');   
    insert into temp2 values (5,'e',500,'zzz');
    insert into temp2 values (6,'f',600,'aaa');
    insert into temp2 values (7,'g',700,'bbb'); 
    insert into temp2 values (8,'h',800,'ccc');
    I am trying to get same output, what we get from below UNION query with ANALYTICAL Function.
    select * from temp2 where col1 in (1,2,3,4,5)
    union
    select * from temp2 where col1 in (1,2,5,6)
    union
    select * from temp2 where col1 in (1,2,7,8);
    I am seeking help by this dummy example to understand the concept, how can we use analytical functional over UNION or OUTER JOINS.
    In my exact query, I am using same table three times adding UNION clause. here also we scan temp2 three times, so for bulky tables using 'union'  would be hampering query's performance
    It means i go with three time scans of same table that is not performance oriented. With the help of above required concept, i will try to remove UNIONs from my exact query.
    Thanks!!

    Thanks for your time BluShadow and sorry as i think i couldn't make my query clear.
    I try it again. Below there are three queries, you may see all three queries are using same tables. Difference in all three queries are just few conditions, which makes all three queries diff with each other.
    I know, u cant run below query in your database, but i think it will convey my doubt to you. I have mentioned no. of rows with each clause and total i am getting 67 rows as my output. (Reason may be first n third query's result set are the subset of Second Query dataset)
    So i want to take all common rows as well as additional rows, if present in any of the query. This is getting easliy done with UNION clause but want to have it in other way as here my same is getting scanned again n again.
    SELECT
             START_TX.FX_TRAN_ID START_FX_TRAN_ID
            ,END_TX.FX_TRAN_ID END_FX_TRAN_ID
            ,START_TX.ENTERED_DT_TS
            ,USER
            ,START_TX.TRADE_DT
            ,START_TX.DEAL_NUMBER
            ,START_TX.FX_DEAL_TYPE
            ,START_TX.ORIENTATION_BUYSELL
            ,START_TX.BASE_CCY
            ,START_TX.BASE_CCY_AMT
            ,START_TX.SECONDARY_CCY
            ,START_TX.SECONDARY_CCY_AMT
            ,START_TX.MATURITY_DT
            ,START_TX.TRADE_RT
            ,START_TX.FORWARD_PTS              
            ,START_TX.CORPORATE_PIPS           
            ,START_TX.DEAL_OWNER_INITIALS      
            ,START_TX.CORPORATE_DEALER         
            ,START_TX.PROFIT_CENTER_CD
            ,START_TX.COUNTERPARTY_NM
            ,START_TX.COUNTERPARTY_NUMBER
      FROM
          (SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS >=  TO_DATE('20-Nov-2013 4:00:01 AM','DD-Mon-YYYY HH:MI:SS AM')) START_TX
           INNER JOIN
          (SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS <=  TO_DATE('20-Nov-2013 4:59:59 PM','DD-Mon-YYYY HH:MI:SS AM'))  END_TX
       ON START_TX.COUNTERPARTY_NM        = END_TX.COUNTERPARTY_NM         AND
          START_TX.COUNTERPARTY_NUMBER    = END_TX.COUNTERPARTY_NUMBER     AND
          START_TX.FX_DEAL_TYPE           = END_TX.FX_DEAL_TYPE            AND
          START_TX.BASE_CCY               = END_TX.BASE_CCY                AND
          START_TX.SECONDARY_CCY          = END_TX.SECONDARY_CCY           AND
          NVL(START_TX.CORPORATE_DEALER,'nullX')=NVL(END_TX.CORPORATE_DEALER,'nullX')       AND
          START_TX.ORIENTATION_BUYSELL='B'                                 AND 
          END_TX.ORIENTATION_BUYSELL='S'                                  AND
          START_TX.FX_TRAN_ID = 1850718                                  AND
         (START_TX.BASE_CCY_AMT           = END_TX.BASE_CCY_AMT          
          OR
          START_TX.SECONDARY_CCY_AMT      = END_TX.SECONDARY_CCY_AMT)        -- 10 Rows
    UNION
    SELECT
             START_TX.FX_TRAN_ID START_FX_TRAN_ID
            ,END_TX.FX_TRAN_ID END_FX_TRAN_ID
            ,START_TX.ENTERED_DT_TS
            ,USER
            ,START_TX.TRADE_DT
            ,START_TX.DEAL_NUMBER
            ,START_TX.FX_DEAL_TYPE
            ,START_TX.ORIENTATION_BUYSELL
            ,START_TX.BASE_CCY
            ,START_TX.BASE_CCY_AMT
            ,START_TX.SECONDARY_CCY
            ,START_TX.SECONDARY_CCY_AMT
            ,START_TX.MATURITY_DT
            ,START_TX.TRADE_RT
            ,START_TX.FORWARD_PTS              
            ,START_TX.CORPORATE_PIPS           
            ,START_TX.DEAL_OWNER_INITIALS      
            ,START_TX.CORPORATE_DEALER         
            ,START_TX.PROFIT_CENTER_CD
            ,START_TX.COUNTERPARTY_NM
            ,START_TX.COUNTERPARTY_NUMBER
      FROM
          (SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS >=  TO_DATE('20-Nov-2013 4:00:01 AM','DD-Mon-YYYY HH:MI:SS AM')) START_TX
           INNER JOIN
          (SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS <=  TO_DATE('20-Nov-2013 4:59:59 PM','DD-Mon-YYYY HH:MI:SS AM'))  END_TX
       ON START_TX.COUNTERPARTY_NM        = END_TX.COUNTERPARTY_NM         AND
          START_TX.COUNTERPARTY_NUMBER    = END_TX.COUNTERPARTY_NUMBER     AND
          START_TX.FX_DEAL_TYPE           = END_TX.FX_DEAL_TYPE            AND
          START_TX.BASE_CCY               = END_TX.BASE_CCY                AND
          START_TX.SECONDARY_CCY          = END_TX.SECONDARY_CCY           AND
          NVL(START_TX.CORPORATE_DEALER,'nullX')=NVL(END_TX.CORPORATE_DEALER,'nullX')  AND
          START_TX.FX_TRAN_ID = 1850718                                  AND
          START_TX.ORIENTATION_BUYSELL='B'                                 AND 
          END_TX.ORIENTATION_BUYSELL='S'                        --                                   67 Rows
    UNION 
    SELECT
             START_TX.FX_TRAN_ID START_FX_TRAN_ID
            ,END_TX.FX_TRAN_ID END_FX_TRAN_ID
            ,START_TX.ENTERED_DT_TS
            ,USER
            ,START_TX.TRADE_DT
            ,START_TX.DEAL_NUMBER
            ,START_TX.FX_DEAL_TYPE
            ,START_TX.ORIENTATION_BUYSELL
            ,START_TX.BASE_CCY
            ,START_TX.BASE_CCY_AMT
            ,START_TX.SECONDARY_CCY
            ,START_TX.SECONDARY_CCY_AMT
            ,START_TX.MATURITY_DT
            ,START_TX.TRADE_RT
            ,START_TX.FORWARD_PTS              
            ,START_TX.CORPORATE_PIPS           
            ,START_TX.DEAL_OWNER_INITIALS      
            ,START_TX.CORPORATE_DEALER         
            ,START_TX.PROFIT_CENTER_CD
            ,START_TX.COUNTERPARTY_NM
            ,START_TX.COUNTERPARTY_NUMBER
      FROM
          (SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS >=  TO_DATE('20-Nov-2013 4:00:01 AM','DD-Mon-YYYY HH:MI:SS AM')) START_TX
           INNER JOIN
          (SELECT * FROM FX_TRANSACTIONS WHERE GMT_CONV_ENTERED_DT_TS <=  TO_DATE('20-Nov-2013 4:59:59 PM','DD-Mon-YYYY HH:MI:SS AM'))  END_TX
       ON START_TX.COUNTERPARTY_NM        = END_TX.COUNTERPARTY_NM         AND
          START_TX.COUNTERPARTY_NUMBER    = END_TX.COUNTERPARTY_NUMBER     AND
          START_TX.FX_DEAL_TYPE           = END_TX.FX_DEAL_TYPE            AND
          START_TX.BASE_CCY               = END_TX.BASE_CCY                AND
          START_TX.SECONDARY_CCY          = END_TX.SECONDARY_CCY           AND
          NVL(START_TX.CORPORATE_DEALER,'nullX')=NVL(END_TX.CORPORATE_DEALER,'nullX') AND
          START_TX.ORIENTATION_BUYSELL='B'                                 AND 
          END_TX.ORIENTATION_BUYSELL='S'                                   AND
          START_TX.FX_TRAN_ID = 1850718                                  AND
            END_TX.BASE_CCY_AMT BETWEEN (START_TX.BASE_CCY_AMT - (START_TX.BASE_CCY_AMT * :PERC_DEV/100)) AND (START_TX.BASE_CCY_AMT + (START_TX.BASE_CCY_AMT * :PERC_DEV/100))        
            OR
            END_TX.SECONDARY_CCY_AMT BETWEEN (START_TX.SECONDARY_CCY_AMT - (START_TX.SECONDARY_CCY_AMT*:PERC_DEV/100) ) AND (START_TX.SECONDARY_CCY_AMT + (START_TX.SECONDARY_CCY_AMT*:PERC_DEV/100))
        );                                                       ---                              10 Rows

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