Problem in discoverer  with analytic function created non-additive YTD

I have problem with discoverer desktop which show me wrong ytdact, ytdbgt figure after i rollup/pivoting
on custom folder i did in discoverer admin:
SELECT a.year, a.month, c.deptno, b.glaccount, bgt.mthbgt, bgt.ytdbgt, bgt.fullbgt, bgt.lastyr_fullbgt,
act.mthact, act.ytdact
FROM (
SELECT
a.amount mthbgt,
SUM(a.amount) OVER (PARTITION BY ...) fullbgt,
SUM(a.amount) OVER (PARTITION BY ...) ytdbgt,
LAG(SUM(a.amount),1) OVER (PARTITION BY...) lstyr_fullbgt
FROM gltrans_bgt a, gl_master b, dept c
WHERE a.glaccount=b.glaccount AND a.deptno=c.deptno GROUP BY a.year, a.month, c.deptno, b.glaccount
) bgt
FULL OUTER JOIN
SELECT a.year, a.month, c.deptno, b.glaccount,
a.amount mthact,
SUM(a.amount) OVER (PARTITION BY...) ytdact,
LAG(SUM(a.amount),1) OVER (PARTITION BY...) lstyr_ytdact
FROM gltrans_act a, gl_master b, dept c
WHERE a.glaccount=b.glaccount AND a.deptno=c.deptno
GROUP BY a.year, a.month, c.deptno, b.glaccount
) act
ON
bgt.year=act.year AND
bgt.month=bgt.month AND
bgt.deptno=act.deptno AND
bgt.glaccount=act.glaccount
In discoverer desktop, sometime i would like to remove deptno or month to see the rollup figure. But it seems discoverer tried to sum the ytd to give me wrong figure.
I know that to ask oracle rewrite the query in order to roll up the figure, one may need to create dimension and specify the hierarchy for the related .
Anyway to do on this MV so that oracle can rewrite the query for me automatically?

I suspect if your FY runs not from Jan - Dec, then someone has had to come to grips with this before and has created some kind of custom FUNCTION to determine the fiscal year from the date entered. Or maybe a table that populated with the same info.
Nevertheless, if there isn't one, then you'd just change the TRUNC(SYSDATE,'YYYY') logic to your fiscal year with a direct calculation.
ie:
calculation: what_fiscal_year
CASE WHEN to_char(sysdate,'MMM') IN ('JAN','FEB','MAR','APR','MAY','JUN','JUL','AUG','SEP') THEN to_char(sysdate,'YY')
WHEN to_char(sysdate,'MMM') IN ('OCT','NOV','DEC') then to_char(sysdate,'YY')-1
ELSE '99' END
Something like that - I haven't tested it so treat as pseudo-code first (ie: the last to_char may need to have a to_char(to_number(to_char instead to substract the 1 but might work - Oracle's good with powerful date functions). It should give you an idea of what I'm referring to.
So once each record has an associated FY either by a calculation such as shown or by a calculation calling your corporate FY function, you just do the same thing as described early (ie: range between FY and FY-1).
Russ

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    26     23.5.2007 19:15     ,     295
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    Message was edited by:
    dusoo

    Way too late, but I wouldn't let my effort go unpublished ;-)
    SQL> create table temp_table
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      9  select 21, to_date(' 23.5.2007 17:45','dd.mm.yyyy hh24:mi'), 363 from dual union all
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    14  select 26, to_date(' 23.5.2007 19:15','dd.mm.yyyy hh24:mi'), 295 from dual
    15  /
    Tabel is aangemaakt.
    SQL> with t as
      2  ( select t.*
      3         , max(case when data_column is not null then rownumber end) over (order by rownumber) lowerbound
      4         , last_value(data_column ignore nulls) over (order by rownumber) prevvalue
      5         , min(case when data_column is not null then rownumber end) over (order by rownumber desc) upperbound
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      8  )
      9  select rownumber
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    12         when data_column is not null then data_column
    13         else   prevvalue * ((upperbound - rownumber) / (upperbound - lowerbound))
    14              + nextvalue * ((rownumber - lowerbound) / (upperbound - lowerbound))
    15         end data_column
    16    from t
    17   order by rownumber
    18  /
                                 ROWNUMBER STARTTIME                                      DATA_COLUMN
                                        15 23-05-2007 16:15:00                                    258
                                        16 23-05-2007 16:30:00                                    339
                                        17 23-05-2007 16:45:00                                  347,5
                                        18 23-05-2007 17:00:00                                    356
                                        19 23-05-2007 17:15:00                                    373
                                        20 23-05-2007 17:30:00                                    355
                                        21 23-05-2007 17:45:00                                    363
                                        22 23-05-2007 18:00:00                                    355
                                        23 23-05-2007 18:15:00                                    334
                                        24 23-05-2007 18:30:00                                    313
                                        25 23-05-2007 19:00:00                                    292
                                        26 23-05-2007 19:15:00                                    295
    12 rijen zijn geselecteerd.Regards,
    Rob.

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        613       HASH UNIQUE (cr=342 pr=0 pw=0 time=244 us cost=71 size=20115 card=745)
        745        WINDOW SORT (cr=342 pr=0 pw=0 time=1736 us cost=71 size=20115 card=745)
        745         MAT_VIEW ACCESS FULL MVECRF_CUR_QUERY (cr=342 pr=0 pw=0 time=1736 us cost=69 size=20115 card=745)
    194733      HASH JOIN  (cr=12065 pr=0 pw=0 time=431813 us cost=3658 size=3095040 card=14880)
         43       MAT_VIEW ACCESS FULL MVECRF_VISIT_REVS (cr=3 pr=0 pw=0 time=0 us cost=2 size=946 card=43)
    194733       HASH JOIN OUTER (cr=12062 pr=0 pw=0 time=292098 us cost=3656 size=2767680 card=14880)
    194733        HASH JOIN OUTER (cr=10553 pr=0 pw=0 time=234394 us cost=2962 size=2574240 card=14880)
    194733         HASH JOIN  (cr=9999 pr=0 pw=0 time=379996 us cost=2570 size=2380800 card=14880)
      30076          MAT_VIEW ACCESS FULL MVECRF_ACTIVATED_FORMS (cr=1817 pr=0 pw=0 time=28411 us cost=361 size=2000285 card=29855)
    194733          HASH JOIN  (cr=8182 pr=0 pw=0 time=209061 us cost=1613 size=9026301 card=97057)
        628           MAT_VIEW ACCESS FULL MVECRF_STUDYVERSION_FORMS (cr=19 pr=0 pw=0 time=250 us cost=6 size=18212 card=628)
    194733           MAT_VIEW ACCESS FULL MVECRF_FORMITEMS (cr=8163 pr=0 pw=0 time=80733 us cost=1606 size=12462912 card=194733)
    132342         MAT_VIEW ACCESS FULL MVECRF_ITEM_SDV (cr=554 pr=0 pw=0 time=23678 us cost=112 size=1720446 card=132342)
    221034        MAT_VIEW ACCESS FULL MVECRF_ITEMDATA (cr=1509 pr=0 pw=0 time=46459 us cost=299 size=2873442 card=221034)
    SELECT              
          DISTINCT
             'CL238093011' AS ETUDE,
             FI.STUDYID,
             FI.STUDYVERSIONID,
             FI.SITEID,
             FI.SUBJECTID,
             FI.VISITID,
             VR.VISITREFNAME,
             FI.SUBJECTVISITID,
             FI.FORMID,
             FI.FORMINDEX,
             SVF.FORMREFNAME,
             SVF.FORMMNEMONIC AS FMLNOM,
             EVENT_ITEM.EVENT AS EVENUM,
             EVENT_ITEM.EVENT_ROW AS LIGNUM,
             NULL AS CODVISEVE,
             MIN(DID.MINENTEREDDATE)
                OVER (
                   PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
                AS ATTDAT1ERSAI,
             MIN(IFSDV.ITEMFIRSTSDV)
                OVER (
                   PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
                AS ATTDAT1ERSDV,
             MAX(IFSDV.ITEMFIRSTSDV)
                OVER (
                   PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
                AS ATTDATDERSDV,
             DECODE (AF.SDVCOMPLETESTATE,
                     0,
                     'N',
                     1,
                     'Y')
                AS ATTINDSDVCOP,
             AF.FMINSDVCOMPLETESTATE AS ATTDAT1ERSDVCOP,
             DECODE (AF.SDVPARTIALSTATE,
                     0,
                     'N',
                     1,
                     'Y')
                AS ATTINDSDVPTL,
             EVENT_ITEM.EVENT_RELECT AS ATTINDRVUMEDCOP,
             DECODE (QUERY.NBQSTFML, NULL, 'N', 'Y') AS ATTINDQST,
             DECODE (AF.MISSINGITEMSSTATE,
                     0,
                     'N',
                     1,
                     'Y')
                AS ATTINDITMABS,
             DECODE (AF.FROZENSTATE,
                     0,
                     'N',
                     1,
                     'Y')
                AS ATTINDETACON,
             AF.FMINFROZENSTATE AS ATTDAT1ERCON,
             AF.FMAXFROZENSTATE AS ATTDATDERCON,
             DECODE (AF.DELETEDSTATE,
                     0,
                     'N',
                     1,
                     'Y')
                AS ATTINDETASPR,
             EVENT_ITEM.ROW_DELETED AS ATTINDLIGSPR
      FROM   CL238093011.MVECRF_FORMITEMS FI,
             CL238093011.MVECRF_STUDYVERSION_FORMS SVF,
             CL238093011.MVECRF_ACTIVATED_FORMS AF,
             CL238093011.MVECRF_ITEM_SDV IFSDV,
             CL238093011.MVECRF_VISIT_REVS VR,
             CL238093011.MVECRF_ITEMDATA DID,
             (SELECT   DISTINCT
                       SUBJECTID,
                       VISITID,
                       FORMID,
                       FORMINDEX,
                       COUNT (
                          DISTINCT QUERYID
                          OVER (
                             PARTITION BY SUBJECTID, VISITID, FORMID, FORMINDEX
                          NBQSTFML
                FROM   CL238093011.MVECRF_CUR_QUERY
               WHERE   QUERYSTATE IN (0, 1, 2)) QUERY,
             CL238093011.FLO_FML_EVENT EVENT_ITEM
    WHERE   (AF.VISITDELETED IS NULL OR AF.VISITDELETED = 0)
             AND AF.FORMTYPE NOT IN (4, 5, 6, 7, 8, 103)
             AND (AF.DELETEDDYNAMICFORMSTATE IS NULL
                  OR AF.DELETEDDYNAMICFORMSTATE = 0)
             AND FI.SUBJECTVISITID = AF.SUBJECTVISITID
             AND FI.FORMID = AF.FORMID
             AND FI.FORMREV = AF.FORMREV
             AND FI.FORMINDEX = AF.FORMINDEX
             AND FI.VISITID = VR.VISITID
             AND FI.VISITREV = VR.VISITREV
             AND FI.CONTEXTID = IFSDV.CONTEXTID(+)
             AND FI.CONTEXTID = DID.CONTEXTID(+)
             AND FI.SUBJECTID = QUERY.SUBJECTID(+)
             AND FI.VISITID = QUERY.VISITID(+)
             AND FI.FORMID = QUERY.FORMID(+)
             AND FI.FORMINDEX = QUERY.FORMINDEX(+)
             AND FI.STUDYVERSIONID = SVF.STUDYVERSIONID
             AND FI.FORMID = SVF.FORMID
             AND FI.VISITID = SVF.VISITID
             AND FI.SUBJECTID = EVENT_ITEM.SUBJECTID(+)
             AND FI.VISITID = EVENT_ITEM.VISITID(+)
             AND FI.FORMID = EVENT_ITEM.FORMID(+)
             AND FI.FORMINDEX = EVENT_ITEM.FORMINDEX(+)

    user12045475 wrote:
    Hi
    how can I speed up the query below ?
    All time is in analytic function (WINDOW SORT)
    Thanks for your help
    11.2.0.1
    Rows     Row Source Operation
    28987  HASH UNIQUE (cr=12677 pr=155778 pw=109730 time=25010 us cost=5502 size=3972960 card=14880)
    1668196   WINDOW SORT (cr=12677 pr=155778 pw=109730 time=890411840 us cost=5502 size=3972960 card=14880)
    1668196    HASH JOIN RIGHT OUTER (cr=12677 pr=0 pw=0 time=1069165 us cost=3787 size=3972960 card=14880)
    30706     TABLE ACCESS FULL FLO_FML_EVENT (cr=270 pr=0 pw=0 time=7420 us cost=56 size=814158 card=30154)
    194733     HASH JOIN RIGHT OUTER (cr=12407 pr=0 pw=0 time=571145 us cost=3730 size=3571200 card=14880)
    613      VIEW  (cr=342 pr=0 pw=0 time=489 us cost=71 size=23840 card=745)
    613       HASH UNIQUE (cr=342 pr=0 pw=0 time=244 us cost=71 size=20115 card=745)
    745        WINDOW SORT (cr=342 pr=0 pw=0 time=1736 us cost=71 size=20115 card=745)
    745         MAT_VIEW ACCESS FULL MVECRF_CUR_QUERY (cr=342 pr=0 pw=0 time=1736 us cost=69 size=20115 card=745)
    194733      HASH JOIN  (cr=12065 pr=0 pw=0 time=431813 us cost=3658 size=3095040 card=14880)
    43       MAT_VIEW ACCESS FULL MVECRF_VISIT_REVS (cr=3 pr=0 pw=0 time=0 us cost=2 size=946 card=43)
    194733       HASH JOIN OUTER (cr=12062 pr=0 pw=0 time=292098 us cost=3656 size=2767680 card=14880)
    194733        HASH JOIN OUTER (cr=10553 pr=0 pw=0 time=234394 us cost=2962 size=2574240 card=14880)
    194733         HASH JOIN  (cr=9999 pr=0 pw=0 time=379996 us cost=2570 size=2380800 card=14880)
    30076          MAT_VIEW ACCESS FULL MVECRF_ACTIVATED_FORMS (cr=1817 pr=0 pw=0 time=28411 us cost=361 size=2000285 card=29855)
    194733          HASH JOIN  (cr=8182 pr=0 pw=0 time=209061 us cost=1613 size=9026301 card=97057)
    628           MAT_VIEW ACCESS FULL MVECRF_STUDYVERSION_FORMS (cr=19 pr=0 pw=0 time=250 us cost=6 size=18212 card=628)
    194733           MAT_VIEW ACCESS FULL MVECRF_FORMITEMS (cr=8163 pr=0 pw=0 time=80733 us cost=1606 size=12462912 card=194733)
    132342         MAT_VIEW ACCESS FULL MVECRF_ITEM_SDV (cr=554 pr=0 pw=0 time=23678 us cost=112 size=1720446 card=132342)
    221034        MAT_VIEW ACCESS FULL MVECRF_ITEMDATA (cr=1509 pr=0 pw=0 time=46459 us cost=299 size=2873442 card=221034)
    SELECT              
    DISTINCT
    'CL238093011' AS ETUDE,
    FI.STUDYID,
    FI.STUDYVERSIONID,
    FI.SITEID,
    FI.SUBJECTID,
    FI.VISITID,
    VR.VISITREFNAME,
    FI.SUBJECTVISITID,
    FI.FORMID,
    FI.FORMINDEX,
    SVF.FORMREFNAME,
    SVF.FORMMNEMONIC AS FMLNOM,
    EVENT_ITEM.EVENT AS EVENUM,
    EVENT_ITEM.EVENT_ROW AS LIGNUM,
    NULL AS CODVISEVE,
    MIN(DID.MINENTEREDDATE)
    OVER (
    PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
    AS ATTDAT1ERSAI,
    MIN(IFSDV.ITEMFIRSTSDV)
    OVER (
    PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
    AS ATTDAT1ERSDV,
    MAX(IFSDV.ITEMFIRSTSDV)
    OVER (
    PARTITION BY FI.SUBJECTID, FI.VISITID, FI.FORMID, FI.FORMINDEX
    AS ATTDATDERSDV,
    DECODE (AF.SDVCOMPLETESTATE,
    0,
    'N',
    1,
    'Y')
    AS ATTINDSDVCOP,
    AF.FMINSDVCOMPLETESTATE AS ATTDAT1ERSDVCOP,
    DECODE (AF.SDVPARTIALSTATE,
    0,
    'N',
    1,
    'Y')
    AS ATTINDSDVPTL,
    EVENT_ITEM.EVENT_RELECT AS ATTINDRVUMEDCOP,
    DECODE (QUERY.NBQSTFML, NULL, 'N', 'Y') AS ATTINDQST,
    DECODE (AF.MISSINGITEMSSTATE,
    0,
    'N',
    1,
    'Y')
    AS ATTINDITMABS,
    DECODE (AF.FROZENSTATE,
    0,
    'N',
    1,
    'Y')
    AS ATTINDETACON,
    AF.FMINFROZENSTATE AS ATTDAT1ERCON,
    AF.FMAXFROZENSTATE AS ATTDATDERCON,
    DECODE (AF.DELETEDSTATE,
    0,
    'N',
    1,
    'Y')
    AS ATTINDETASPR,
    EVENT_ITEM.ROW_DELETED AS ATTINDLIGSPR
    FROM   CL238093011.MVECRF_FORMITEMS FI,
    CL238093011.MVECRF_STUDYVERSION_FORMS SVF,
    CL238093011.MVECRF_ACTIVATED_FORMS AF,
    CL238093011.MVECRF_ITEM_SDV IFSDV,
    CL238093011.MVECRF_VISIT_REVS VR,
    CL238093011.MVECRF_ITEMDATA DID,
    (SELECT   DISTINCT
    SUBJECTID,
    VISITID,
    FORMID,
    FORMINDEX,
    COUNT (
    DISTINCT QUERYID
    OVER (
    PARTITION BY SUBJECTID, VISITID, FORMID, FORMINDEX
    NBQSTFML
    FROM   CL238093011.MVECRF_CUR_QUERY
    WHERE   QUERYSTATE IN (0, 1, 2)) QUERY,
    CL238093011.FLO_FML_EVENT EVENT_ITEM
    WHERE   (AF.VISITDELETED IS NULL OR AF.VISITDELETED = 0)
    AND AF.FORMTYPE NOT IN (4, 5, 6, 7, 8, 103)
    AND (AF.DELETEDDYNAMICFORMSTATE IS NULL
    OR AF.DELETEDDYNAMICFORMSTATE = 0)
    AND FI.SUBJECTVISITID = AF.SUBJECTVISITID
    AND FI.FORMID = AF.FORMID
    AND FI.FORMREV = AF.FORMREV
    AND FI.FORMINDEX = AF.FORMINDEX
    AND FI.VISITID = VR.VISITID
    AND FI.VISITREV = VR.VISITREV
    AND FI.CONTEXTID = IFSDV.CONTEXTID(+)
    AND FI.CONTEXTID = DID.CONTEXTID(+)
    AND FI.SUBJECTID = QUERY.SUBJECTID(+)
    AND FI.VISITID = QUERY.VISITID(+)
    AND FI.FORMID = QUERY.FORMID(+)
    AND FI.FORMINDEX = QUERY.FORMINDEX(+)
    AND FI.STUDYVERSIONID = SVF.STUDYVERSIONID
    AND FI.FORMID = SVF.FORMID
    AND FI.VISITID = SVF.VISITID
    AND FI.SUBJECTID = EVENT_ITEM.SUBJECTID(+)
    AND FI.VISITID = EVENT_ITEM.VISITID(+)
    AND FI.FORMID = EVENT_ITEM.FORMID(+)
    AND FI.FORMINDEX = EVENT_ITEM.FORMINDEX(+)
    Do you have the license for parallel query (may/may not help)? PQO can help with sorts ...

  • SQL Query With analytical function

    Hi
    Below is the scenario which i am looking for in sql query using analytical functions
    I/p
    Col1
    50
    0
    -150
    -200
    300
    -100
    -300
    500
    -100
    O/p
    Col1          col2
    50                 0
    0                   0
    -150          -100
    -200              -200
    300               0
    -100              0
    -300              -100
    500               400
    -100              0Any help really appreciated
    Thanks in advance
    Edited by: unique on Aug 10, 2010 4:53 AM
    Edited by: unique on Aug 10, 2010 4:55 AM
    Edited by: unique on Aug 10, 2010 4:55 AM

    Oh,In this case,There is OLAP solution ;-)
    OLAP samples of my homepage http://www.geocities.jp/oraclesqlpuzzle/oracle-sql1-olap.html
    with work(SK,Val) as(
    select  1,  50 from dual union
    select  2,   0 from dual union
    select  3,-150 from dual union
    select  4,-200 from dual union
    select  5, 300 from dual union
    select  6,-100 from dual union
    select  7,-300 from dual union
    select  8, 500 from dual union
    select  9,-100 from dual)
    select SK,Val,GID,
    case when Val > 0
         then greatest(0,sum(Val) over(partition by GID))
         else Least(0,Val+greatest(0,sum(Val) over(partition by GID
                                     order by SK rows between unbounded preceding
                                                          and 1 preceding)))
         end as COL3
    from (select SK,Val,
          sum(greatest(0,sign(Val))) over(order by SK) as GID
          from work)
    order by SK;
    SK   VAL  GID  COL3
    1    50    1     0
    2     0    1     0
    3  -150    1  -100
    4  -200    1  -200
    5   300    2     0
    6  -100    2     0
    7  -300    2  -100
    8   500    3   400
    9  -100    3     0

  • Help needed with analytical function

    I want to get the employee details of the highest and 2nd highest salaried employee in a particular department. But also the department should have more than 1 employee.
    I tried the query and it gave me proper results. But I'm wondering if there is some other alternative than using the subquery.
    Here is the table and the result query :
    with t as
    select 1 emp_id,3 mgr_id,'Rajesh' emp_name,3999 salary,677 bonus,'HR' dpt_nme from dual union
    select 2 ,3 ,'Gangz',4500,800,'Finance' from dual  union
    select 3 ,4 ,'Sid',8000,12000,'IT' from dual  union
    select 4 ,null,'Ram',5000,677,'HR' from dual  union
    select 5 ,4,'Shyam',6000,677,'IT' from dual union
    select 6 ,4 ,'Ravi',9000,12000,'IT' from dual  
    select * from
    (select emp_id, mgr_id, emp_name, dpt_nme, salary, row_number() over (partition by dpt_nme order by salary desc) rn from t where dpt_nme in
    (select dpt_nme from t group by dpt_nme having count(*) > 1)) where rn < 3

    Hi,
    You need a sub-query, but you don't need more than that.
    Here's one way to eliminate the extra sub-query:
    WITH     got_analytics     AS
         SELECT  emp_id,     mgr_id,     emp_name, dpt_nme, salary
         ,     ROW_NUMBER () OVER ( PARTITION BY  dpt_nme
                                   ORDER BY          salary     DESC
                           )         AS rn
         ,     COUNT (*)     OVER ( PARTITION BY  dpt_nme
                                       )         AS dpt_cnt
         FROM     t
    SELECT  emp_id,     mgr_id,     emp_name, dpt_nme, salary
    ,     rn
    FROM     got_analytics
    WHERE     rn     < 3
    AND     dpt_cnt     > 1
    ;Analytic functions are computed after the WHERE clause is applied. Since we need to use the results of the analytic ROW_NUMBER function in a WHERE clause, that means we'll have to compute ROW_NUMBER in a sub-query, and use the results in the WHERE clause of the main query. We can call the analytic COUNT function in the same sub-query, and use its results in the same WHERE clause of the main query.
    What results would you want if there's a tie for the 2nd highest salary in some department? For example, if you add this row to your sample data:
    select 7 ,3 ,'Sunil',8000,12000,'IT' from dual  union? You may want to use RANK instead of ROW_NUMBER.

  • Tuning sql with analytic function

    Dear friends I've developed one sql :
    with REP as
    (select /*+ MATERIALIZE */ branch_code,
       row_number() over(partition by branch_code, account order by bkg_date desc  ) R,
             account,
             bkg_date,
             lcy_closing_bal
        from history t
    select REP1.branch_code,
           REP1.account,
           REP1.bkg_date,
           REP1.lcy_closing_bal,
             NULL  AS second,
           REP2.bkg_date        bkg_date2,
           REP2.lcy_closing_bal lcy_closing_bal2,
            NULL  AS third,
           REP3.bkg_date        bkg_date3,
           REP3.lcy_closing_bal lcy_closing_bal3
      from (SELECT * FROM REP WHERE R=1) REP1, (SELECT * FROM REP WHERE R=2) REP2, (SELECT * FROM REP WHERE R=3) REP3
    where
           (REP1.BRANCH_CODE = REP2.BRANCH_CODE(+) AND REP1.ACCOUNT = REP2.ACCOUNT(+)) AND
           (REP1.BRANCH_CODE = REP3.BRANCH_CODE(+) AND REP1.ACCOUNT = REP3.ACCOUNT(+))The point is I want to restrict (tune) REP before it used ,because , as you can see I need maximum three value from REP (where R=1,R=2,R=3) . Which analytic function and with wich options I have to use to receive only 3 values in each branch_code,account groups at the materializing time ?

    Radrigez wrote:
    Dear friends I've developed one sql :
    with REP as
    from (SELECT * FROM REP WHERE R=1) REP1,
    (SELECT * FROM REP WHERE R=2) REP2,
    (SELECT * FROM REP WHERE R=3) REP3
    where
    (REP1.BRANCH_CODE = REP2.BRANCH_CODE(+) AND REP1.ACCOUNT = REP2.ACCOUNT(+)) AND
    (REP1.BRANCH_CODE = REP3.BRANCH_CODE(+) AND REP1.ACCOUNT = REP3.ACCOUNT(+))
    The first step is to put your subquery (which doesn't need to be materialized) into an inline view and restrict the result set on r in (1,2,3) as suggested by thtsang - you don't need to query the same result set three times.
    Then you're looking at a simple pivot operation (assuming the number of rows you want per branch and account is fixed). If you're on 11g search the manuals for PIVOT, on earlier versions you can do this with a decode() or case() operator.
    Step 1 (which could go into another factored subquery) would be something like:
    select
            branch_code, account,
            case r = 1 then bkg_date end bkg_date,
            case r = 1 then lcy_closing_bal end lcy_closing_bal,
            case r = 2 then bkg_date end bkg_date2,
            case r = 2 then lcy_closing_bal end lcy_closing_bal2,
            case r = 3 then bkg_date end bkg_date3,
            case r = 3 then lcy_closing_bal end lcy_closing_bal3
    from
            repThis gives you the eight necessary columns, but still (up to) three rows per branch/account.
    Then you aggregate this (call it rep1) on branch and account.
    select
            branch_code, account,
            max(bkg_date),
            max(lcy_closing_bal),
            max(bkg_date2),
            max(lcy_closing_bal2),
            max(bkg_date3),
            max(lcy_closing_bal3)
    from
            rep1
    group by
            branch_code, account
    order by
            branch_code, accountRegards
    Jonathan Lewis
    http://jonathanlewis.wordpress.com
    Author: <b><em>Oracle Core</em></b>

  • Problem with Analytical function

    hi,
    I have two tables and my expected result is given below..
    I used the LEAD function to get (start_Date and new_Date) which i have shown in my expected result..my problem is with rel_type and org_id. I am not able to get those values to its corresponding dates..please can any one help...
    Table A
    ID     START_DATE     END_DATE     REL_TYPE
    5001     5/12/2005     7/1/2005     PARTIAL
    5001     7/1/2005     7/4/2005     NOTHING
    5001     7/4/2005     1/1/5000     FULL
    Table B
    ID     ORG_ID     START_DATE     END_DATE
    5001     102     3/1/2002     3/10/2004
    5001     103     3/10/2004     8/1/2005
    5001     102     8/1/2005     1/1/5000
    Expected Result
    start_Date new_date rel_type org_id
    3/1/2002     3/10/2004 partial 102
    3/10/2004 5/12/2005 partial 103
    5/12/2005 7/1/2005 partial 103
    7/1/2005     7/4/2005 Nothing 103
    7/4/2005     8/1/2005 FULL 103
    8/1/2005     1/1/5000 FULL 102
    rds,
    Naga

    Is this correct?
    <s></s>
    with A as
    ( select 5001 id ,to_date('5/12/2005') start_date, to_date('7/1/2005') end_date,'PERTIAL' rel_type from dual
      union all
      select 5001,to_date('7/1/2005'),to_date('7/4/2005'), 'NOTHING' from dual
      union all
      select 5001,to_date('7/4/2005'),to_date('1/1/5000'), 'FULL' from dual
    ,B as
    ( select 5001 id ,102 org_id, to_date('3/1/2005') start_date, to_date('3/10/2005') end_date from dual
      union all
      select 5001, 103, to_date('3/10/2005'),to_date('8/1/2005') from dual
      union all
      select 5001, 102, to_date('8/1/2005'),to_date('1/1/5000') from dual
    /* Data end */
    select
      start_date
      ,case when rel_type is null then lead(start_date) over (order by start_date)
            else new_date end NEW_DATE
      ,last_value(rel_type ignore nulls)
         over (order by start_date desc rows unbounded preceding) REL_TYPE
      ,org_id
    from (
      select
         case when B.start_date < A.start_date then A.start_date else B.start_date end START_DATE
        ,case when B.end_date   > A.end_date   then A.end_date   else B.end_date   end NEW_DATE
        ,A.rel_type
        ,B.org_id
      from A,B
      where A.start_date <= B.end_date and B.start_date <= a.end_date
      union all
      select B.start_date, B.end_date, null, B.org_id
      from B
      where start_date <= all (select start_date from A)
    order by start_date,org_id
    START_DATE NEW_DATE   REL_TYP     ORG_ID
    03/01/2005 03/10/2005 PERTIAL        102
    03/10/2005 05/12/2005 PERTIAL        103
    05/12/2005 07/01/2005 PERTIAL        103
    07/01/2005 07/04/2005 NOTHING        103
    07/04/2005 08/01/2005 FULL           103
    08/01/2005 01/01/5000 FULL           102
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    I thought that's what you're lokking for.
    Regards,
    Alexander

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