Sum Analytic Function

Hi,
I have a query in SQL that generates percentage totals. I am having trouble replicating this code in BMM layer of the repository. I have created a new logical column, the sql query is below:
SELECT id, seq, asset_cost ,
CASE
WHEN asset_cost > 0
THEN ROUND(RATIO_TO_REPORT (
CASE
WHEN asset_cost > 0
THEN SUM (asset_cost)
END) OVER (partition BY id)*100)
END total
FROM test
GROUP BY id, seq asset_cost
Can anyone help with replicating the above expression in the logical layer column. ]
*** how can i use the Ratio_to_report function in obiee
The above link shows a workaround
Are there any alternatives to 'RATIO_TO_REPORT' in OBIEE functions?
Thanks
Edited by: sliderrules on 16-May-2012 04:23

Hi,
I have just been through the Oracle documentation to understand that 'RATIO_TO_REPORT' would compute the ratio of a value to sum of values. For your requirement, what you could do is
1. Bring in the measure 'asset_cost' into the BMM with aggregation rule as sum. (I think you could include a condition here itself as asset_cost >0)
2. Create another measure with the 'Derived from another logical column as source' option chosen and the function as
EVALUATE('RATIO_TO_REPORT(%1) OVER (PARTITION BY %2)' AS DOUBLE, asset_cost,id)
The above function does the following steps:
EVALUATE will send the analytic function to the database.
SUM(asset_cost) would be the first parameter
id would be the second parameter.
I might not be pretty good with the syntax here, but hope you could get it while implementing.
Hope this helps.
Thank you,
Dhar

Similar Messages

  • SUM analytical function

    Hi,
    I am using the SUM analytical function to accumulate some data from one record to the other record (data per month):
    TPS_MOI_CODE     PRD_PRD_CODE     PDV_PDV_CODE     RTTCAVCANV
    200510     01     9302     -8050
    200511     01     9302     -15500
    200512     01     9302     -16150
    200601     01     9302     -16150
    200602     01     9302     -16150
    200603     01     9302     -16150
    The result is correct. However, I also want to restart the sum from January, i.e every months contain the sum of all the previous month, and it must restart in January.
    How do I do that ?
    Thanks in advance for your answers.

    You should extract a year and use it as the partition in over() clause, for example:
    SQL> select * from t;
         DATE#        QTY
        200510          1
        200511          2
        200512          3
        200601          4
        200602          5
        200603          6
    6 rows selected.
    SQL> desc t;
    Name                                      Null?    Type
    DATE#                                              NUMBER
    QTY                                                NUMBER
    SQL> select date#, sum(qty) over(partition by substr(date#,1,4) order by date#) cum_sum
      2  from t;
         DATE#    CUM_SUM
        200510          1
        200511          3
        200512          6
        200601          4
        200602          9
        200603         15
    6 rows selected.Rgds.

  • How to use sum analytic function in adf

    Hi
    jdev 11.1.1.5
    oracle 11g r2
    I want to use analytic function (sum,count,avg and ...) .
    I see [url http://andrejusb.blogspot.co.uk/2013/02/oracle-analytic-functions-for-total-and.html]Oracle Analytic Functions for Total and Average Calculation in ADF BC
    and use it in my vo and jsf page,my vo have too much record and I want to have sum in table footer on demand (because of performance) and if user do not want to see the sum in footer of table it do not calculate sum,
    what is your idea?

    Before I read that blog I use another vo for sum but after that blog decide to use analytic fuction becuase we have some page that have to many dvt graph and table and know we use seperate vo for them and it has not good performance and too many query must run in database ,I want to have 1 vo with some analytic function for graph and tables

  • Problem with SUM () analytic function

    Dear all,
    Please have a look at my problem.
    SELECT CURR, DT, AMT, RATE,
    SUM(AMT) OVER (PARTITION BY CURR ORDER BY DT) SUMOVER,
    sum( amt * rate) over (PARTITION BY CURR ORDER BY DT) / SUM(AMT) OVER (PARTITION BY CURR ORDER BY DT) avgrt
    FROM
    select 'CHF' CURR, ADD_MONTHS(TO_DATE('01-DEC-07'), LEVEL -1) DT, 100 * LEVEL AMT, 1 +  ( 5* LEVEL/100) RATE
    FROM DUAL CONNECT BY LEVEL < 10
    SQL> /
    CUR DT               AMT       RATE    SUMOVER      AVGRT
    CHF 01-DEC-07        100       1.05        100       1.05
    CHF 01-JAN-08        200        1.1        300 1.08333333
    CHF 01-FEB-08        300       1.15        600 1.11666667
    CHF 01-MAR-08        400        1.2       1000       1.15
    CHF 01-APR-08        500       1.25       1500 1.18333333
    CHF 01-MAY-08        600        1.3       2100 1.21666667
    CHF 01-JUN-08        700       1.35       2800       1.25
    CHF 01-JUL-08        800        1.4       3600 1.28333333
    CHF 01-AUG-08        900       1.45       4500 1.31666667
    Table Revaluation
    select 'CHF' CURR1, '31-DEC-07' DT , 1.08 RATE FROM DUAL UNION ALL
    select 'CHF' CURR1, '31-MAR-08' DT , 1.22 RATE FROM DUAL UNION ALL
    select 'CHF' CURR1, '30-JUN-08' DT , 1.38 RATE FROM DUAL
    CUR DT              RATE
    CHF 31-DEC-07       1.08
    CHF 31-MAR-08       1.22
    CHF 30-JUN-08       1.38.
    Problem is with the calculation of average rate.
    I want to consider the data in the revaluation table to be used in the calculation of
    average rate.
    So average rate for Jan-08 will be
    (100 * 1.08(dec revaluation rate) + 200 * 1.1 ) / (300) = 1.093333333
    for Feb-08
    (100 * 1.08(dec revaluation rate) + 200 * 1.1 + 300 * 1.15) / (600) = 1.121666667
    for mar-08
    (100 * 1.08(dec revaluation rate) + 200 * 1.1 + 300 * 1.15 + 400 * 1.2) / (1000) = 1.153
    for Apr-08
    (1000 * 1.22(Apr revaluation rate) + 500 * 1.25) /1500 = 1.23
    for May-08
    (1000 * 1.22(Apr revaluation rate) + 500 * 1.25 + 600 * 1.30 ) /2100 = 1.25
    and so on..
    Kindly advice

    Hi,
    The main thing in this problem is that for every dt you want to compute the cumulative total from previous rows using the formula
    SUM (amt * rate)
    But rate can be either the rate from the revaluation table or the rate from the main table. For evaluating prior dates, you wnat to use the most recent rate.
    I'm not sure if you can do this using analytic functions. Like Damorgan said, you should use a self-join.
    The query below gives you the results you requested:
    WITH
    revaluation     AS
         SELECT 'CHF' curr1, TO_DATE ('31-DEC-07', 'DD-MON-RR') dt, 1.08 rate     FROM dual     UNION ALL
         SELECT 'CHF' curr1, TO_DATE ('31-MAR-08', 'DD-MON-RR') dt, 1.22 rate     FROM dual     UNION ALL
         SELECT 'CHF' curr1, TO_DATE ('30-JUN-08', 'DD-MON-RR') dt, 1.38 rate     FROM dual
    original_data     AS
         select     'CHF'                              curr
         ,     ADD_MONTHS(TO_DATE('01-DEC-07'), LEVEL -1)     dt
         ,     100 * LEVEL                         amt
         ,     1 + ( 5* LEVEL/100)                    rate
         FROM     dual
         CONNECT BY     LEVEL < 10
    two_rates     AS
         SELECT     od.*
              SELECT     MAX (dt)
              FROM     revaluation
              WHERE     curr1     = od.curr
              AND     dt     <= od.dt
              )          AS r_dt
              SELECT     AVG (rate) KEEP (DENSE_RANK LAST ORDER BY dt)
              FROM     revaluation
              WHERE     curr1     = od.curr
              AND     dt     <= od.dt
              )          AS r_rate
         FROM     original_data     od
    SELECT     c.curr
    ,     c.dt
    ,     c.amt
    ,     c.rate
    ,     SUM (p.amt)          AS sumover
    ,     SUM     ( p.amt
              * CASE
                   WHEN     p.dt <= c.r_dt
                   THEN     c.r_rate
                   ELSE     p.rate
                END
         / SUM (p.amt)          AS avgrt
    FROM     two_rates     c
    JOIN     original_data     p     ON     c.curr     = p.curr
                        AND     c.dt     >= p.dt
    GROUP BY     c.curr,     c.dt,     c.amt,     c.rate
    ORDER BY     c.curr,     c.dt
    ;

  • Case Statement in Analytic Function SUM(n) OVER(PARTITION BY x)

    Hi Guys,
    I have the following SQL that doesn't seem to consider the When clause I am using in the case staement inside the analytic function(SUM). Could somebody let me know why? and suggest the solution?
    Select SUM(Case When (A.Flag = 'B' and B.Status != 'C') Then (NVL(A.Amount_Cr, 0) - (NVL(A.Amount_Dr,0))) Else 0 End) OVER (PARTITION BY A.Period_Year) Annual_amount
         , A.period_year
         , B.status
    , A.Flag
    from A, B, C
    where A.period_year = 2006
    and C.Account = '301010'
    --and B.STATUS != 'C'
    --and A.Flag = 'B'
    and A.Col_x = B.Col_x
    and A.Col_y = C.Col_y
    When I use this SQL, I get
    Annual_Amount Period_Year Status Flag
    5721017.5 --------- 2006 ---------- C -------- B
    5721017.5 --------- 2006 ---------- O -------- B
    5721017.5 --------- 2006 ---------- NULL ----- A
    And when I put the conditions in the where clause, I get
    Annual_Amount Period_Year Status Flag
    5721017.5 ---------- 2006 ---------- O -------- B

    Here are some scripts,
    create table testtable1 ( ColxID number(10), ColyID number(10) , Periodname varchar2(15), Flag varchar2(1), Periodyear number(15), debit number, credit number)
    insert into testtable1 values(1, 1000, 'JAN-06', 'A', 2006, 7555523.71, 7647668)
    insert into testtable1 values(2, 1001, 'FEB-06', 'B', 2006, 112710, 156047)
    insert into testtable1 values(3, 1002, 'MAR-06', 'A', 2006, 200.57, 22376.43)
    insert into testtable1 values(4, 1003, 'APR-06', 'B', 2006, 0, 53846)
    insert into testtable1 values(5, 1004, 'MAY-06', 'A', 2006, 6349227.19, 6650278.03)
    create table testtable2 ( ColxID number(10), Account number(10))
    insert into testtable2 values(1, 300100)
    insert into testtable2 values(2, 300200)
    insert into testtable2 values(3, 300300)
    insert into testtable2 values(4, 300400)
    insert into testtable2 values(5, 300500)
    create table apps.testtable3 ( ColyID number(10), Status varchar2(1))
    insert into testtable3 values(1000, 'C')
    insert into testtable3 values(1001, 'O')
    insert into testtable3 values(1002, 'C')
    My SQL:
    select t1.periodyear
         , SUM(Case When (t1.Flag = 'B' and t3.Status != 'C') Then (NVL(t1.credit, 0) - (NVL(t1.debit,0))) Else 0 End) OVER (PARTITION BY t1.PeriodYear)
         Annual_amount
         , t1.flag
         , t3.status
         , t2.account
    from testtable1 t1, testtable2 t2, testtable3 t3
    where t1.colxid = t2.colxid
    and t1.colyid = t3.colyid(+)
    --and t1.Flag = 'B' and t3.Status != 'C'
    Result:
    PeriodYear ----- AnnualAmount ----- Flag ----- Status ----- Account
    2006 ------------------ 43337 --------------- A ----------- C ---------- 300100
    2006 ------------------ 43337 --------------- B ----------- O ---------- 300200
    2006 ------------------ 43337 --------------- A ----------- C ---------- 300300
    2006 ------------------ 43337 --------------- B ------------ ----------- 300400
    2006 ------------------ 43337 --------------- A ------------ ----------- 300500
    With condition "t1.Flag = 'B' and t3.Status != 'C'" in where clause instead of in Case statement, Result is (which is desired)
    PeriodYear ----- AnnualAmount ----- Flag ----- Status ----- Account
    2006 ------------------ 43337 --------------- B ----------- O ---------- 300200

  • Analytical function SUM() OVER (PARTITION BY ) in Crosstab

    I am trying to resolve this from a very long time. I have an amount column that has to be grouped on Year, but all the other columns grouped by month. I am trying to achieve this using analytic function SUM(Case when (Condition1 and Condition2) then Sum(Amount) else 0 end) OVER ( PARTITION BY Account, Year), Where Account, Sub Account are the left axis columns. Now, column displays the values correctly, but at different rows. This is confusing.............
    For Ex: For Account 00001, there are 3 sub accounts 1000,2000,3000. For Sub account 3000, conditions 1 and 2 are satisfied, so it should display the Amount in the row corresponding to Sub account 3000, and 0 for remaining Sub Accounts. And the Total amount of all the sub accounts, which will be the same as amount for SubAccount 3000 should be displayed in the row corresponding to Account 00001.
    But I get blank rows for 1000 and 3000 Sub accounts and Amount displayed in 2000 Sub account, and blank for Account 00001 also.
    When I created the same workbook in Tabular form, the same amount is displayed for all the SubAccounts of a single Account.
    When I used this CASE statement in TOAD, I figured that this is due to the Analytic function. When I use a group by clause as shown below instead of partition by, I get the results I need.
    SELECT (Case when (Condition1 and Condition2) then Sum(Amount) else 0 end), Account, Sub Account FROM tables WHERE conditions GROUP BY Year, Account, Sub Account
    But I cannot use groupby for whole SQL of the workbook as I need the other columns with page item 'MONTH' not 'Year'.
    Could somebody please help me with this?

    Hi,
    In your tabular form do you get the correct total display against all you subaccounts and account? If this correct then you can use case to ensure that the total is displayed only for the single account.
    Once you have the correct totals working in a tabular form it is easier to re-produce what you want in a cross-tab.
    Rod West

  • Running Sum without analytic function

    Hi
    I have data like below
    Create table Test (Name Varchar(30),M Int, Y Int, Val Int);
    Insert into Test Values ('A',1,2011,2);
    Insert into Test Values ('A',2,2011,2);
    Insert into Test Values ('A',3,2011,2);
    Insert into Test Values ('A',4,2011,2);
    Insert into Test Values ('A',5,2011,2);
    Insert into Test Values ('A',6,2011,2);
    Insert into Test Values ('A',7,2011,2);
    Insert into Test Values ('A',8,2011,2);
    Insert into Test Values ('A',9,2011,2);
    Insert into Test Values ('A',10,2011,2);
    Insert into Test Values ('A',11,2011,2);
    Insert into Test Values ('A',12,2011,2);
    Insert into Test Values ('A',1,2012,2);
    Insert into Test Values ('A',2,2012,2);
    Insert into Test Values ('A',3,2012,2);
    Insert into Test Values ('A',4,2012,2);
    Insert into Test Values ('A',5,2012,2);
    Insert into Test Values ('A',6,2012,2);
    Insert into Test Values ('A',7,2012,2);
    Now based on above data I need to calculate running sum for past 18 Months. Condition is I can not use analytic function or Oracle specific SQL functions (for portability).
    I tries following SQL but it dint work
    select Name,rnk, SUM(val) from (
    SELECT a.Name,a.m,a.Y,b.val, count(*) rnk
    from Test a, Test b
    where (a.Name=b.Name and (a.M <= b.M and a.Y<= b.Y))
    group by a.Name,a.Y,a.m
    order by a.Name,a.Y,a.m
    ) abc
    group By Name,rnk
    Order by Name,rnk
    Can some one give suggastion.

    Hi,
    I don't see what your query or your desired results have to do with the last 18 months. Is the task here to show for a given month (July, 2012, for example) the total of the 18 months ending in that month (February, 2011 through July, 2012 in this case) for the same name? If so:
    SELECT       c.name, c.y, c.m
    ,       SUM (p.val)     AS running_total
    FROM       test     c
    JOIN       test     p  ON     ( ((12 * c.y) + c.m)
                   - ((12 * p.y) + p.m)
                   ) BETWEEN 0 AND 17
    GROUP BY  c.name, c.y, c.m
    ORDER BY  c.name, c.y, c.m
    ;Output:
    NAME                Y          M RUNNING_TOTAL
    A                2011          1             2
    A                2011          2             4
    A                2011          3             6
    A                2011          4             8
    A                2011          5            10
    A                2011          6            12
    A                2011          7            14
    A                2011          8            16
    A                2011          9            18
    A                2011         10            20
    A                2011         11            22
    A                2011         12            24
    A                2012          1            26
    A                2012          2            28
    A                2012          3            30
    A                2012          4            32
    A                2012          5            34
    A                2012          6            36
    A                2012          7            36

  • Analytical function sum() ...for Till-date reporting

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    create table a (name varchar2(10), qty_sold number,on_date date);
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    insert into a values ('abc',05,'10-JUL-2007 08:11:00');
    insert into a values ('abc',17,'10-JUL-2007 09:11:00');
    insert into a values ('def',10,'10-JAN-2006 08:01:00');
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    Any help is highly appreciated.
    Thanks.

    SQL> select name
      2       , sum(case when sysdate - on_date <= 10 then qty_sold end) total_qty_last_10_days
      3       , sum(case when sysdate - on_date <= 100 then qty_sold end) total_qty_last_100_days
      4       , sum(case when sysdate - on_date <= 500 then qty_sold end) total_qty_last_500_days
      5    from a
      6   group by name
      7  /
    NAME          TOTAL_QTY_LAST_10_DAYS   TOTAL_QTY_LAST_100_DAYS   TOTAL_QTY_LAST_500_DAYS
    abc                                                         23                        33
    def                                                                                    6
    pqr                                                                                   17
    3 rijen zijn geselecteerd.Regards,
    Rob.

  • Reports 6i and analytical function

    hi
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                    rvt.transaction_date srv_date, inv.segment1 item_no,
                    rvt.item_desc item_description, hrov.NAME,               
                    (   SUBSTR (v.standard_industry_class, 1, 1)
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                     || po_headers.segment1
                     || '-'
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                    po_headers.creation_date_disp po_date,   
                          (  (rvt.currency_conversion_rate * po_lines.unit_price)
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    ----Analytic function used here                      
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                     * rvt.transact_qty)) over(partition by hrov.NAME) SUM_AMOUNT,                                                                                 
                    (SELECT SUM (mot.on_hand)
                       FROM mtl_onhand_total_mwb_v mot
                      WHERE inv.inventory_item_id = mot.inventory_item_id
                        --  AND INV.ORGANIZATION_ID=MOT.ORGANIZATION_ID
                        AND loc.inventory_location_id = mot.locator_id
                        AND loc.organization_id = mot.organization_id
                        AND rvt.locator_id = mot.locator_id) onhand
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                    mtl_system_items_b inv,
                    mtl_item_locations loc,
                    hr_organization_units_v hrov,
                    po_headers_v po_headers,
                    ap_vendors_v v,
                    po_lines_v po_lines
              WHERE inv.inventory_item_id(+) = rvt.item_id
                AND po_headers.vendor_id = v.vendor_id
                AND rvt.po_line_id = po_lines.po_line_id
                AND rvt.po_header_id = po_lines.po_header_id
                AND rvt.po_header_id = po_headers.po_header_id
                AND rvt.supplier_id = v.vendor_id
                AND inv.organization_id = hrov.organization_id
                AND rvt.transaction_type = 'DELIVER'
                AND rvt.inspection_status_code <> 'REJECTED'
                AND rvt.organization_id = inv.organization_id(+)
                AND to_char(to_date(rvt.transaction_date, 'DD/MM/YYYY'), 'DD-MON-YYYY') BETWEEN (:p_from_date)
                                                     AND NVL (:p_to_date,
                                                              :p_from_date
                AND rvt.locator_id = loc.physical_location_id(+)
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                       SELECT parent_transaction_id
                         FROM rcv_vrc_txs_v rvtd
                        WHERE rvt.item_id = rvtd.item_id
                          AND rvtd.transaction_type IN
                                      ('RETURN TO RECEIVING', 'RETURN TO VENDOR'))
                                      GROUP BY rvt.receipt_num , rvt.supplier ,
                    rvt.transaction_date , inv.segment1 ,
                    rvt.item_desc , hrov.NAME,v.standard_industry_clasS,po_headers.segment1,po_headers.creation_datE,
                    po_headers.creation_date_disp,inv.inventory_item_iD,loc.inventory_location_id,loc.organization_id,
                    rvt.locator_iD,rvt.currency_conversion_rate,po_lines.unit_price, rvt.transact_qty
    but it gives blank page in reports 6i
    could it be that reports 6i donot support analytical functionskindly guide another alternaive
    thanking in advance
    Edited by: makdutakdu on Mar 25, 2012 2:22 PM

    hi
    will the view be like
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                    rvt.transaction_date srv_date, inv.segment1 item_no,
                    rvt.item_desc item_description, hrov.NAME,               
                    (   SUBSTR (v.standard_industry_class, 1, 1)
                     || '-'
                     || po_headers.segment1
                     || '-'
                     || TO_CHAR (po_headers.creation_date, 'RRRR')
                    ) po_no,
                    po_headers.creation_date_disp po_date,   
                          (  (rvt.currency_conversion_rate * po_lines.unit_price)
                     * rvt.transact_qty
                    )aMOUNT  ,
    ----Analytic function used here                      
            SUM(          (  (rvt.currency_conversion_rate * po_lines.unit_price)
                     * rvt.transact_qty)) over(partition by hrov.NAME) SUM_AMOUNT,                                                                                 
                    (SELECT SUM (mot.on_hand)
                       FROM mtl_onhand_total_mwb_v mot
                      WHERE inv.inventory_item_id = mot.inventory_item_id
                        --  AND INV.ORGANIZATION_ID=MOT.ORGANIZATION_ID
                        AND loc.inventory_location_id = mot.locator_id
                        AND loc.organization_id = mot.organization_id
                        AND rvt.locator_id = mot.locator_id) onhand
               FROM rcv_vrc_txs_v rvt,
                    mtl_system_items_b inv,
                    mtl_item_locations loc,
                    hr_organization_units_v hrov,
                    po_headers_v po_headers,
                    ap_vendors_v v,
                    po_lines_v po_lines
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                AND po_headers.vendor_id = v.vendor_id
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