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.
Add the test for "cnt >= 2" next to the test for "rnk = 1".                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                       

Similar Messages

  • 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 :
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    (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:
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         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.

  • 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.
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    insert into temp2 values (2,'b',200,'www'); 
    insert into temp2 values (3,'c',300,'xxx');
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    insert into temp2 values (5,'e',500,'zzz');
    insert into temp2 values (6,'f',600,'aaa');
    insert into temp2 values (7,'g',700,'bbb'); 
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    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
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            ,START_TX.DEAL_NUMBER
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            ,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
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          (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
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          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
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          START_TX.FX_TRAN_ID = 1850718                                  AND
         (START_TX.BASE_CCY_AMT           = END_TX.BASE_CCY_AMT          
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            ,END_TX.FX_TRAN_ID END_FX_TRAN_ID
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            ,START_TX.SECONDARY_CCY
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            ,START_TX.CORPORATE_PIPS           
            ,START_TX.DEAL_OWNER_INITIALS      
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            ,START_TX.PROFIT_CENTER_CD
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          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
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             START_TX.FX_TRAN_ID START_FX_TRAN_ID
            ,END_TX.FX_TRAN_ID END_FX_TRAN_ID
            ,START_TX.ENTERED_DT_TS
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            ,START_TX.BASE_CCY
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            ,START_TX.SECONDARY_CCY
            ,START_TX.SECONDARY_CCY_AMT
            ,START_TX.MATURITY_DT
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            ,START_TX.CORPORATE_PIPS           
            ,START_TX.DEAL_OWNER_INITIALS      
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          (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
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  • Help with analytical function

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  • Help with analytical function   (ora 9...)

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    15     23.5.2007 16:15     ,     258
    16     23.5.2007 16:30     ,     339
    17     23.5.2007 16:45     ,     
    18     23.5.2007 17:00     ,     356
    19     23.5.2007 17:15     ,     373
    20     23.5.2007 17:30     ,     355
    21     23.5.2007 17:45     ,     363
    22     23.5.2007 18:00     ,     355
    23     23.5.2007 18:15     ,     
    24     23.5.2007 18:30     ,     
    25     23.5.2007 19:00     ,     292
    26     23.5.2007 19:15     ,     295
    THANKS
    Message was edited by:
    dusoo

    Way too late, but I wouldn't let my effort go unpublished ;-)
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      4  select 16, to_date(' 23.5.2007 16:30','dd.mm.yyyy hh24:mi'), 339 from dual union all
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      8  select 20, to_date(' 23.5.2007 17:30','dd.mm.yyyy hh24:mi'), 355 from dual union all
      9  select 21, to_date(' 23.5.2007 17:45','dd.mm.yyyy hh24:mi'), 363 from dual union all
    10  select 22, to_date(' 23.5.2007 18:00','dd.mm.yyyy hh24:mi'), 355 from dual union all
    11  select 23, to_date(' 23.5.2007 18:15','dd.mm.yyyy hh24:mi'), null from dual union all
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    15  /
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      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
      6         , last_value(data_column ignore nulls) over (order by rownumber desc) nextvalue
      7      from temp_table t
      8  )
      9  select rownumber
    10       , starttime
    11       , case
    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.

  • Help required in extract functionality for xml with namespaces

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  • Speed up query with analytic function

    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)
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    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)
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    194733        HASH JOIN OUTER (cr=10553 pr=0 pw=0 time=234394 us cost=2962 size=2574240 card=14880)
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    194733           MAT_VIEW ACCESS FULL MVECRF_FORMITEMS (cr=8163 pr=0 pw=0 time=80733 us cost=1606 size=12462912 card=194733)
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    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,
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             SVF.FORMREFNAME,
             SVF.FORMMNEMONIC AS FMLNOM,
             EVENT_ITEM.EVENT AS EVENUM,
             EVENT_ITEM.EVENT_ROW AS LIGNUM,
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                AS ATTDAT1ERSAI,
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                AS ATTINDSDVCOP,
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             DECODE (AF.SDVPARTIALSTATE,
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                     'N',
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                     '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,
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                     'N',
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                     '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,
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             AND FI.FORMINDEX = QUERY.FORMINDEX(+)
             AND FI.STUDYVERSIONID = SVF.STUDYVERSIONID
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    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
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    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)
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    194733           MAT_VIEW ACCESS FULL MVECRF_FORMITEMS (cr=8163 pr=0 pw=0 time=80733 us cost=1606 size=12462912 card=194733)
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    SELECT              
    DISTINCT
    'CL238093011' AS ETUDE,
    FI.STUDYID,
    FI.STUDYVERSIONID,
    FI.SITEID,
    FI.SUBJECTID,
    FI.VISITID,
    VR.VISITREFNAME,
    FI.SUBJECTVISITID,
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    EVENT_ITEM.EVENT_ROW AS LIGNUM,
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    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')
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    DECODE (QUERY.NBQSTFML, NULL, 'N', 'Y') AS ATTINDQST,
    DECODE (AF.MISSINGITEMSSTATE,
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    1,
    'Y')
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    DECODE (AF.FROZENSTATE,
    0,
    'N',
    1,
    'Y')
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    OVER (
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    AND FI.FORMINDEX = AF.FORMINDEX
    AND FI.VISITID = VR.VISITID
    AND FI.VISITREV = VR.VISITREV
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    AND FI.VISITID = QUERY.VISITID(+)
    AND FI.FORMID = QUERY.FORMID(+)
    AND FI.FORMINDEX = QUERY.FORMINDEX(+)
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  • 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
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    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 ;-)
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    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)
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    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

  • Tuning sql with analytic function

    Dear friends I've developed one sql :
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           REP2.lcy_closing_bal lcy_closing_bal2,
            NULL  AS third,
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    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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