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>

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    Message was edited by:
    dusoo

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                                        24 23-05-2007 18:30:00                                    313
                                        25 23-05-2007 19:00:00                                    292
                                        26 23-05-2007 19:15:00                                    295
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    Rob.

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    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(+)

    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 ...

  • 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.

  • Help with analytical function

    I successfully use the following analytical function to sum all net_movement of a position (key for a position: bp_id, prtfl_num, instrmnt_id, cost_prc_crncy) from first occurrence until current row:
    SELECT SUM (net_movement) OVER (PARTITION BY bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND 0 FOLLOWING) holding,
    what i need is another column to sum net_movement of a position but only for the current date, but all my approaches fail..
    - add the date (val_dt) to the 'partition by' clause and therefore sum only values with same position and date
    SELECT SUM (net_movement) OVER (PARTITION BY val_dt, bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND 0 FOLLOWING) today_net_movement
    - take the holding for the last date and subtract it from the current holding afterwards
    SELECT SUM (net_movement) OVER (PARTITION BY bp_id, prtfl_num, instrmnt_id, cost_prc_crncy ORDER BY TRUNC (val_dt) RANGE BETWEEN UNBOUNDED PRECEDING AND -1 FOLLOWING) last_holding,
    - using lag on the analytical function which calculates holding fails too
    I also want to avoid creating a table which stores the last holding..
    Does anyone sees where I make a mistake or knows an alternative to get this value?
    It would help me much!
    Thanks in advance!

    Thank you,
    but I already tried that but it returns strange values which are not the correct ones for sure.
    It is always the same value for each row, if its not 0, and a very high one (500500 for example), even if the sum of all net_movement of that date is 0 (and the statement for holding returns 0 too)
    I also tried witch trunc(val_dt,'DDD') with the same result (without trunc it is the same issue)
    please help if you can, thanks in advance!

  • I need help with Analytic Function

    Hi,
    I have this little problem that I need help with.
    My datafile has thousands of records that look like...
    Client_Id Region Countries
    [1] [1] [USA, Canada]
    [1] [2] [Australia, France, Germany]
    [1] [3] [China, India, Korea]
    [1] [4] [Brazil, Mexico]
    [8] [1] [USA, Canada]
    [9] [1] [USA, Canada]
    [9] [4] [Argentina, Brazil]
    [13] [1] [USA, Canada]
    [15] [1] [USA]
    [15] [4] [Argentina, Brazil]
    etc
    My task is is to create a report with 2 columns - Client_Id and Countries, to look something like...
    Client_Id Countries
    [1] [USA, Canada, Australia, France, Germany, China, India, Korea, Brazil, Mexico]
    [8] [USA, Canada]
    [9] [USA, Canada, Argentina, Brazil]
    [13] [USA, Canada]
    [15] [USA, Argentina, Brazil]
    etc.
    How can I achieve this using Analytic Function(s)?
    Thanks.
    BDF

    Hi,
    That's called String Aggregation , and the following site shows many ways to do it:
    http://www.oracle-base.com/articles/10g/StringAggregationTechniques.php
    Which one should you use? That depends on which version of Oracle you're using, and your exact requirements.
    For example, is order importatn? You said the results shoudl include:
    CLIENT_ID  COUNTRIES
    1        USA, Canada, Australia, France, Germany, China, India, Korea, Brazil, Mexicobut would you be equally happy with
    CLIENT_ID  COUNTRIES
    1        Australia, France, Germany, China, India, Korea, Brazil, Mexico, USA, Canadaor
    CLIENT_ID  COUNTRIES
    1        Australia, France, Germany, USA, Canada, Brazil, Mexico, China, India, Korea?
    Mwalimu wrote:
    ... How can I achieve this using Analytic Function(s)?The best solution may not involve analytic functions at all. Is that okay?
    If you'd like help, post your best attempt, a little sample data (CREATE TABLE and INSERT statements), the results you want from that data, and an explanation of how you get those results from that data.
    Always say which version of Oracle you're using.
    Edited by: Frank Kulash on Aug 29, 2011 3:05 PM

  • OBIEE: Incorrect SQL - with count function uses ORDER BY instead GROUP BY

    I made a basic report that is a client count; I want to know how many clients the company have.
    But, when I run this report, OBIEE generates a ORDER BY sentence, instead a GROUP BY. Remember that I'm using count function, that is a agregation.
    The SQL generated was:
    select 'N0' as c1,
    count(*) as c2
    from
    (select distinct T1416.CLIENT_INTER_KEY as c1
    from
    (select *
    from prd.D_SERVICE where SOURCE_SYS in ('ARBOR','PPB') and DW_SERV_ST_ID in (100000003,100000009)) T1836,
    (select *
    from prd.D_CLIENT) T1416,
    (select *
    from prd.D_CUSTOMER_ACCOUNT where SOURCE_SYS In ('ARBOR','PPB')) T1515
    where ( T1416.DW_CLIENT_ID = T1515.DW_CLIENT_ID and T1515.DW_CUST_ACCT_ID = T1836.DW_CUST_ACCT_ID and T1836.MSISDN = '917330340' )
    ) D1
    order by c1
    The error that I receive is:
    "Query Status: Query Failed: [nQSError: 16001] ODBC error state: S1000 code: -1005018 message: [Sybase][ODBC Driver][Adaptive Server Anywhere]Illegal ORDER BY item Order Item: 'N0',
    -- (opt_OrderBy.cxx 429) .
    [nQSError: 16011] ODBC error occurred while executing SQLExtendedFetch to retrieve the results of a SQL statement."
    If I substitute ORDER BY with GROUP BY and test it in Sybase, Ithe query runs without any problem.
    select 'N0' as c1,
    count(*) as c2
    from
    (select distinct T1416.CLIENT_INTER_KEY as c1
    from
    (select *
    from prd.D_SERVICE where SOURCE_SYS in ('ARBOR','PPB') and DW_SERV_ST_ID in (100000003,100000009)) T1836,
    (select *
    from prd.D_CLIENT) T1416,
    (select *
    from prd.D_CUSTOMER_ACCOUNT where SOURCE_SYS In ('ARBOR','PPB')) T1515
    where ( T1416.DW_CLIENT_ID = T1515.DW_CLIENT_ID and T1515.DW_CUST_ACCT_ID = T1836.DW_CUST_ACCT_ID and T1836.MSISDN = '917330340' )
    ) D1
    group by c1
    Do you know why OBIEE generates this SQL??? Why uses, with a aggregation function, a ORDER BY and not a GROUP BY? How can I resolve this problem???
    Regards,
    Susana Figueiredo

    Verify your repository design and make sure that you have defined count aggregate on fact column. You would also need to define the content level of each dimension in fact table.

  • Help required with  Analytic function

    Hi I have a table like following
    column1 column2 column3 cloumn4 start_Date
    1 601 A B 10-jan-2007
    2 601 A B 11 -jan-2007
    1 602 A B 12-jan-007
    1 603 A C 12-jan-2007
    there is no Uk on this table.
    now I have to group column2 ,column3 ,column4.
    I finally need to get the row that has highest start date. Effectively meaming
    there will be three groups based on abouve data:
    1st is:
    1 601 A B 10-jan-2007
    2 601 A B 11 -jan-2007
    2nd is
    1 602 A B 12-jan-007
    3rd is
    1 603 A C 12-jan-2007
    now i need to get the second row from the first group only
    2 601 A B 11 -jan-2007
    i dont need data from other groups since they have less than 2 rows.
    How can I achieve this using analytics function.
    Please help!!

    Hi,
    Can you please provide an example. I am sorry, this
    is my first day with analytice :(I figured as much; that's why I gave you detailed instructions to gain some experience by building on the
    query that Forms already gave you (slightly prettied up below):
    select  *
    from    (   -- Begin sub-query
            SELECT  column1,column2,column3,column4
            ,        row_number () over
                        ( partition by column2,column3,column4
                          order by start_date desc
                        ) as rnk  -- "rank" is not a good name
            from   table
            )   -- End sub-query
    where   rnk = 1;
    [pre]
    Follow the instructions I gave you earlier.
    Add the analytic "COUNT (*) OVER (...) AS cnt" function next to the analytic ROW_NUMBER function in Forms' query.
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