Dynamic calc to sum months across years

I have an Essbase 6.5.5 cube with a periods dimension containing months and weeks as stored members, tagged as time. I also have a year dimension that contains fiscal years and these members are also stored. I need to add together the first month of this year and the last month of last year.
I can do this:
M12->LY + M01->TY
This gives me the right answer and I could setup IF statements to cross dim to the correct LY value, but I would like the formula to dynamically select the correct LY based on the TY year the user sets up in their query. I tried a few combos using @prior and @shift and it is not working correctly.
Here's what I thought would work:
M01 + (@SHIFT(Year,-1));
This formula results in summing just the M01 and nothing from LY. Any thoughts on how to set this formula up?
Edited by: user11908498 on Sep 16, 2009 5:55 AM
Edited by: user11908498 on Sep 16, 2009 11:42 AM

My mistake Gary, the periods dimension is tagged as time and contains months and weeks as stored members. The year dimension contains fiscal years as stored members. I have updated my OP to state that correctly.
Using your formula:
"M01" + @SHIFT("M12", -1, @CHILDREN("Year"));
I'm still just getting the answer of the data contained in M01.
M12 is in the period dimension tagged as time.
Year is the fiscal year dimension as a stored member.
What I want to get is the sum of M01->TY + M12->LY without hard coding the year in a cross dim statement. It seems like this should be a simple formula, but its not working for me.

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    http://www.network54.com/Forum/58296/thread/1054220911/Datacopy+Problem
    You are going to have to come up with another way of copying the Scenario by summing the members into the target Scenario. It can be a pain because you're going to have to mind the creation of the blocks. SET CREATEBLOCKONEQ will be your friend on this one.
    Regards,
    Cameron Lackpour

  • Pivot with Month and Year

    Hi all Thanks in Advance
    I need help in Pivoting Data
    SELECT ID,MONTH,COUNT FROM TABLE_PIVOT ORDER BY ID,MONTH
    ID     MONTH          COUNT
    10     10/01/2009     60
    10     11/01/2009     80
    10     12/01/2009     78
    10     01/01/2010     81
    10     02/01/2010     73
    10     03/01/2010     84
    10     04/01/2010     100
    10     05/01/2010     107
    10     06/01/2010     90
    10     07/01/2010     0
    10     08/01/2010     0
    10     09/01/2010     73
    20     10/01/2010     71
    20     11/01/2010     76
    20     12/01/2010     79
    20     01/01/2011     79
    20     02/01/2011     81
    20     03/01/2011     88
    20     04/01/2011     97
    20     05/01/2011     87
    20     06/01/2011     97I tried to pivot with below query
    SELECT ID,
    SUM(DECODE(to_char(month,'MM'),'01',count,0)) " Jan",
    SUM(DECODE(to_char(month,'MMYY'),'02',count,0)) Feb,
    SUM(DECODE(to_char(month,'MM'),'03',count,0)) Mar,
    SUM(DECODE(to_char(month,'MM'),'04',count,0)) Apr,
    SUM(DECODE(to_char(month,'MM'),'05',count,0)) May,
    SUM(DECODE(to_char(month,'MM'),'06',count,0)) June,
    SUM(DECODE(to_char(month,'MM'),'07',count,0)) July,
    SUM(DECODE(to_char(month,'MM'),'08',count,0)) August,
    SUM(DECODE(to_char(month,'MM'),'09',count,0)) September,
    SUM(DECODE(to_char(month,'MM'),'10',count,0)) October,
    SUM(DECODE(to_char(month,'MM'),'11',count,0)) November,
    SUM(DECODE(to_char(MONTH,'MM'),'12',count,0)) December
    FROM Table_PIVOT
    GROUP BY ID
    ORDER BY ID
    ID      Jan     FEB     MAR     APR     MAY     JUNE     JULY     AUGUST     SEPTEMBER     OCTOBER     NOVEMBER     DECEMBER
    10      81     0     84     100     107     90     0     0          73          60          80          78
    20      79     0     88     97     87     97     0     0          0          71          76          79I want output to display the column names with Month and Year like below
    ID     Oct-2009     Nov-2009     Dec-2009   Jan-2010  Feb-2010 ................... OCT-2010  NOV-2010 DEC-2010 JAN-2011 FEB-2011 ......
    10     60          80          78          81          73     ...................
    20                                                                    71           76          79     79          81
    CREATE TABLE "TABLE_PIVOT"
       (     "ID" NUMBER,
         "MONTH" DATE,
         "COUNT" NUMBER
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('10/01/2009','MM/DD/YYYY'),60);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('11/01/2009','MM/DD/YYYY'),80);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('12/01/2009','MM/DD/YYYY'),78);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('01/01/2010','MM/DD/YYYY'),81);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('02/01/2010','MM/DD/YYYY'),73);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('03/01/2010','MM/DD/YYYY'),84);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('04/01/2010','MM/DD/YYYY'),100);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('05/01/2010','MM/DD/YYYY'),107);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('06/01/2010','MM/DD/YYYY'),90);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('07/01/2010','MM/DD/YYYY'),0);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('08/01/2010','MM/DD/YYYY'),0);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (10,to_timestamp('09/01/2010','MM/DD/YYYY'),73);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('10/01/2010','MM/DD/YYYY'),71);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('11/01/2010','MM/DD/YYYY'),76);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('12/01/2010','MM/DD/YYYY'),79);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('01/01/2011','MM/DD/YYYY'),79);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('02/01/2011','MM/DD/YYYY'),81);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('03/01/2011','MM/DD/YYYY'),88);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('04/01/2011','MM/DD/YYYY'),97);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('05/01/2011','MM/DD/YYYY'),87);
    Insert into TABLE_PIVOT (ID,MONTH,COUNT) values (20,to_timestamp('06/01/2011','MM/DD/YYYY'),97);
    COMMIT;

    Hi,
    user1849 wrote:
    Any Sample code is appreciated
    I didn't see any solution for following one in your linklI think Centinul was specifically referring to:
    Help for a query to add columns
    but other links from
    SQL and PL/SQL FAQ
    may help you more.
    >
    Re: How to pipeline a function with a dynamic number of columns?
    Posted: May 9, 2006 2:58 PM in response to: Billy Verreynne Reply
    Interesting stuff! It's going to take me awhile to digest it.
    For what it's worth, I was trying to build a pivoting function that would take a MYTABLE table like this:
    YEAR CITY X Y
    2000 BAL 95 96
    2000 BOS 101 101
    2001 BAL 92 94
    2001 BOS 101 101
    2002 BAL 98 98
    2002 BOS 98 99
    2003 BAL 95 96
    2003 BOS 105 104
    and allow me to do something like:
    CREATE VIEW MYPIVOT
    AS
    SELECT *
    FROM TABLE (PIVOT(MYTABLE, [with other params]))
    and get the following view MYPIVOT on the table:
    YEAR BOS_X BOS_Y BAL_X BAL_Y
    2000 101 101 95 96
    2001 101 101 92 94
    2002 98 99 98 98
    2003 105 104 95 96
    Where the number of distinct CITY values will vary over time. I am able to build the query I need dynamically, but since the CITY data values in the original table change, the columns are not necessarily static from invocation to invocation. Therefore I didn't want to just create a view using the dynamic SQL once, because it may need to be created next time I need to access the view. I wanted to be able to access the pivoted data on demand.A pipelined function is your best bet for that.
    I couldn't do was be able to execute the query and treat it as a pipelined function, hence my original question.Sorry, I don't understand.
    I'll dig into the code above to see if it does what I wanted, but if someone has a better suggestion on how to approach this, I'd be interested in hearing it.A completely different approach is String Aggregation , where you would get output like this:
    YEAR  TXT
            BOS_X    BOS_Y    BAL_X    BAL_Y
    2000      101      101       95       96
    2001      101      101       92       94
    2002       98       99       98       98
    2003      105      104       95       96Note that this output contains 6 rows and 2 columns. On the first row, year is NULL and txt='  BOS_X    BOS_Y    BAL_X    BAL_Y'. You can do this is pure, static SQL, without knowing the number of cities in advance.

  • Variance across years

    I'm working with a dynamic calc cube - version 7.X - with the following dimensions: Accounts, Period, Fiscal Year, Scenario, Version, Organization
    In the scenario dimension we have the following members: Budget, Actual, Forecast.
    I want to create a Scenario member that displays the variance between current year Forecast and prior year Actual.
    I've used @VAR("Forecast","Budget") to create a variance Scenario member within the same year, but can't figure out how to do it across years.
    Any ideas? Thanks.

    @VAR doesn't support cross dimensional members.
    However, you could do this (this approach requires an "Expense" UDA to match Expense Reporting members and is assuming you are comparing FY10 Budget to FY09 Actual):
    Dynamically calculated formula in member "Bud FY10 vs. Act FY09"
    IF(@ISUDA("Account", "Expense") AND @ISMBR("FY10"))
    "Actual"->"FY09" - "Budget"->"FY10" ;
    ELSEIF(NOT(@ISUDA("Account", "Expense")) AND @ISMBR("FY10"))
    "Budget"->"FY10" - "Actual"->"FY09" ;
    ENDIF
    You could get fancier with @PRIOR and @CURRMBR if you wanted to make it more flexible.
    The important thing is to be able to identify the Expense accounts from the non-Expense because it flips the subtraction direction.
    Regards,
    Cameron Lackpour

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