Calculating values across multiple years
Hi,
I have a stored procedure that has 10 rows for each of the last 10 years and about 25 columns for various different values for each given year.
I need to create a report that shows all the values (columns) for only year 3, year 7, and year 10. My problem is, I have a formula that calculates the value for year 3 that requires information from year 1, and 2. The formula for year 7 requires information from year 4, 5, and 6 and so on.
I plan to use a crosstab but how can I use values from previous years into the year I am printing in a cross tab?
Can anyone provide any help?
Thanks,
Zack H.
Carl,
This is a very plausible way of doing it.
However, I was thinking more along the lines of storing the values of each field in an array for each year and then call up whatever value I wanted from the array into my calculation. For instance, the stored procedure returns 10 rows x 25 columns = or 250 field values. I wanted to create an array say numbervar array_year1, array_year2 and so on.
Then, in my calculation, I can call up whatever value I wanted like array_year2[5]/array_year1[5].
Can this approach be acheived?
Any help would be appreciated.
Thanks again,
Zack
Similar Messages
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Forecast Roll-Over Script across multiple years
Hello Experts,
I currently have the below Script and Prompt but it only works for one Fiscal year and I need help changing it so that it can be used across multiple years, my issue is below:
If I have project TEST and it started in 2013.011 and ends in 2014.004, I have forecast values for all periods so when I run the script I'm prompted to "select forecast year" and "select forecast version based on previous period"
So when I run from 2013.11 (forecast version P11) to 2013.12 (forecast version P12) that works fine but it's not working to roll-over from 2013.012 to 2014.001
Any help is much appreciated.
Thx,
Shane
*****SCRIPT*****
//%CATEGORY_SET% - contains P9, STARTMNTH = 10, PREVFC=P8
*SELECT(%SM%,"[STARTMNTH]",F_CATEGORY,"[ID]='%F_CATEGORY_SET%')
//$YY$ - contain planning year selected by user from DM combobox
*SELECT(%FCSTMNTH%,"[ID]",TIME,"[ID]>'$YY$.%SM%' AND [YEAR]='$YY$' AND [CALC]='N'")
*SELECT(%ACTMNTH%,"[ID]",TIME,"[ID]<'$YY$.%SM%' AND [YEAR]='$YY$' AND [CALC]='N'")
*SELECT(%PF%,"[PREVFCST]",F_CATEGORY,"[ID]='%F_CATEGORY_SET%')
//To copy FORECAST XX we use
*XDIM_MEMBERSET F_CATEGORY=%PF%
*XDIM_MEMBERSET TIME=$YY$.%SM%,%FCSTMNTH%
*WHEN F_CATEGORY
*IS *
*REC(EXPRESSION=%VALUE%,F_CATEGORY=%F_CATEGORY_SET%)
*ENDWHEN
//To copy ACTUAL we use
*XDIM_MEMBERSET F_CATEGORY=ACTUAL
*XDIM_MEMBERSET TIME=%ACTMNTH%
*WHEN F_CATEGORY
*IS *
*REC(EXPRESSION=%VALUE%,F_CATEGORY=%F_CATEGORY_SET%)
*ENDWHEN
*****PROMPT*****
PROMPT(MESSAGE,"Create Forecast Based on Previous")
PROMPT(COMBOBOX,%YY%,"Select Forecast Year:",0,,{2014,2015,2016,2017,2018})
PROMPT(SELECTINPUT,%SELECTION%,,"Select the Forecast Version:","F_CATEGORY")
TASK(/CPMB/DEFAULT_FORMULAS_LOGIC,SUSER,%USER%)
TASK(/CPMB/DEFAULT_FORMULAS_LOGIC,SAPPSET,%APPSET%)
TASK(/CPMB/DEFAULT_FORMULAS_LOGIC,SAPP,%APP%)
INFO(%EQU%,=)
INFO(%TAB%,;)
TASK(/CPMB/DEFAULT_FORMULAS_LOGIC,TAB,%TAB%)
TASK(/CPMB/DEFAULT_FORMULAS_LOGIC,EQU,%EQU%)
TASK(/CPMB/DEFAULT_FORMULAS_LOGIC,SELECTION,%SELECTION%)
TASK(/CPMB/DEFAULT_FORMULAS_LOGIC,LOGICFILENAME,FORECAST.LGF)
TASK(/CPMB/DEFAULT_FORMULAS_LOGIC,REPLACEPARAM,YY%EQU%%YY%)OK - I'll try explain this another way, I have 2 records for "ACTUALS" in 2013 (this is DEV system)
1st record - Project A-000001 / 2013.010 for $2000
2nd record - Project A-000036 / 2013.012 for $5000
Prompts
PARAM - YY=2013
DATA REGION - F_CATEGORY=P12
Here's the Script:
//%CATEGORY_SET% - contains P9, STARTMNTH = 10, PREVFC=P8
*SELECT(%SM%,"[STARTMNTH]",F_CATEGORY,"[ID]='%F_CATEGORY_SET%')
//$YY$ - contain planning year selected by user from DM combobox
*SELECT(%FCSTMNTH%,"[ID]",TIME,"[ID]>'$YY$.%SM%' AND [CALC]='N'")
*SELECT(%ACTMNTH%,"[ID]",TIME,"[ID]<'$YY$.%SM%' AND [YEAR]='$YY$' AND [CALC]='N'")
*SELECT(%PF%,"[PREVFCST]",F_CATEGORY,"[ID]='%F_CATEGORY_SET%')
//To copy FORECAST XX we use
*XDIM_MEMBERSET F_CATEGORY=%PF%
*XDIM_MEMBERSET TIME=$YY$.%SM%,%FCSTMNTH%
*WHEN F_CATEGORY
*IS *
*REC(EXPRESSION=%VALUE%,F_CATEGORY=%F_CATEGORY_SET%)
*ENDWHEN
//To copy ACTUAL we use
*XDIM_MEMBERSET F_CATEGORY=ACTUAL
*XDIM_MEMBERSET TIME=%ACTMNTH%
*WHEN F_CATEGORY
*IS *
*REC(EXPRESSION=%VALUE%,F_CATEGORY=%F_CATEGORY_SET%)
*ENDWHEN
RESULT
PLS note that there is only 1 record for "ACTUAL" and that's the 1st record - Project A-000001 / 2013.010 for $2000
2nd record - Project A-000036 / 2013.012 for $5000 is MISSING
LGX:
*XDIM_MEMBERSET F_CATEGORY=P11
*XDIM_MEMBERSET TIME=2013.012,2014.001,2014.002,2014.003,2014.004,2014.005,2014.006,2014.007,2014.008,2014.009,2014.010,2014.011,2014.012,2015.001,2015.002,2015.003,2015.004,2015.005,2015.006,2015.007,2015.008,2015.009,2015.010,2015.011,2015.012,2016.001,2016.002,2016.003,2016.004,2016.005,2016.006,2016.007,2016.008,2016.009,2016.010,2016.011,2016.012,2017.001,2017.002,2017.003,2017.004,2017.005,2017.006,2017.007,2017.008,2017.009,2017.010,2017.011,2017.012,2018.001,2018.002,2018.003,2018.004,2018.005,2018.006,2018.007,2018.008,2018.009,2018.010,2018.011,2018.012,2019.001,2019.002,2019.003,2019.004,2019.005,2019.006,2019.007,2019.008,2019.009,2019.010,2019.011,2019.012,2020.001,2020.002,2020.003,2020.004,2020.005,2020.006,2020.007,2020.008,2020.009,2020.010,2020.011,2020.012
*WHEN F_CATEGORY
*IS *
*REC(EXPRESSION=%VALUE%,F_CATEGORY=P12)
*ENDWHEN
*XDIM_MEMBERSET F_CATEGORY=ACTUAL
*XDIM_MEMBERSET TIME=2013.001,2013.002,2013.003,2013.004,2013.005,2013.006,2013.007,2013.008,2013.009,2013.010,2013.011
*WHEN F_CATEGORY
*IS *
*REC(EXPRESSION=%VALUE%,F_CATEGORY=P12)
*ENDWHEN
LOG:
LOG BEGIN TIME:2014-03-14 09:36:23
FILE:\ROOT\WEBFOLDERS\F_COUNCIL \ADMINAPP\Forecasting\TEST.LGF
USER:096655
APPSET:F_COUNCIL
APPLICATION:Forecasting
[INFO] GET_DIM_LIST(): I_APPL_ID="Forecasting", #dimensions=8
F_CATEGORY,F_ENTITY,F_PERSON,F_PROJECT,F_SECTION,F_WBSE,MEASURES,TIME
#dim_memberset=2
F_CATEGORY:P11,1 in total.
TIME:2013.012,2014.001,2014.002,2014.003,2014.004,...85 in total.
REC :%VALUE%
CALCULATION BEGIN:
QUERY PROCESSING DATA
QUERY TIME : 1235.46 ms. 285 RECORDS QUERIED OUT.
QUERY REFERENCE DATA
CALCULATION TIME IN TOTAL :672.78 ms.
285 RECORDS ARE GENERATED.
CALCULATION END.
ENDWHEN ACCUMULATION: 285 RECORDS ARE GENERATED.
DATA TO WRITE BACK:
F_CATEGORY F_ENTITY F_PERSON F_PROJECT F_SECTION F_WBSE TIME SIGNEDDATA
P12 4000 000000 A-000036 000 A-000036.1.01 2013.012 103.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.001 104.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.002 105.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.003 106.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.004 107.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.005 108.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.006 109.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.007 110.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.008 111.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.009 112.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.010 113.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.011 114.00
P12 4000 000000 A-000036 000 A-000036.1.01 2014.012 115.00
P12 4000 000000 A-000036 000 A-000036.1.01 2015.001 116.00
P12 4000 000000 A-000036 000 A-000036.1.01 2015.002 117.00
P12 4000 000000 A-000036 000 A-000036.1.01 2015.003 118.00
P12 4000 000000 A-000036 000 A-000036.1.01 2015.004 119.00
P12 4000 000000 A-000036 000 A-000036.1.01 2015.005 120.00
P12 4000 000000 A-000036 000 A-000036.1.01 2015.006 121.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2013.012 235.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.001 236.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.002 237.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.003 238.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.004 239.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.005 240.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.006 241.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.007 242.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.008 243.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.009 244.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.010 245.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.011 246.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2014.012 247.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2015.001 248.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2015.002 249.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2015.003 250.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2015.004 251.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2015.005 252.00
P12 4000 000000 A-000036 000 A-000036.1.01.01 2015.006 253.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2013.012 344.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.001 345.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.002 346.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.003 347.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.004 348.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.005 349.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.006 350.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.007 351.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.008 352.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.009 353.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.010 354.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.011 355.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.012 356.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.001 357.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.002 358.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.003 359.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.004 360.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.005 361.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.006 362.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2013.012 494.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.001 495.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.002 496.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.003 497.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.004 498.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.005 499.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.006 500.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.007 501.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.008 502.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.009 503.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.010 504.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.011 505.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.012 506.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.001 507.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.002 508.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.003 509.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.004 510.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.005 511.00
P12 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.006 512.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2013.012 573.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.001 574.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.002 575.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.003 576.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.004 577.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.005 578.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.006 579.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.007 580.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.008 581.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.009 582.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.010 583.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.011 584.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2014.012 585.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2015.001 586.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2015.002 587.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2015.003 588.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2015.004 589.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2015.005 590.00
P12 4000 000000 A-000036 000 A-000036.1.01.02 2015.006 591.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2013.012 663.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.001 664.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.002 665.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.003 666.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.004 667.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.005 668.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.006 669.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.007 670.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.008 671.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.009 672.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.010 673.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.011 674.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.012 675.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.001 676.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.002 677.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.003 678.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.004 679.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.005 680.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.006 404.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2013.012 765.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.001 766.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.002 767.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.003 768.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.004 769.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.005 770.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.006 771.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.007 772.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.008 773.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.009 774.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.010 775.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.011 776.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.012 777.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.001 778.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.002 779.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.003 780.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.004 781.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.005 782.00
P12 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.006 493.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2013.012 430.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.001 431.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.002 432.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.003 433.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.004 434.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.005 435.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.006 436.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.007 437.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.008 438.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.009 439.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.010 440.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.011 441.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2014.012 442.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2015.001 443.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2015.002 444.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2015.003 445.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2015.004 446.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2015.005 447.00
P12 4000 000000 A-000036 000 A-000036.1.01.03 2015.006 448.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2013.012 584.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.001 585.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.002 586.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.003 587.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.004 588.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.005 589.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.006 590.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.007 591.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.008 592.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.009 593.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.010 594.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.011 595.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.012 596.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.001 597.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.002 598.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.003 599.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.004 600.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.005 601.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.006 602.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2013.012 606.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.001 607.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.002 608.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.003 609.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.004 610.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.005 611.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.006 612.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.007 613.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.008 614.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.009 615.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.010 616.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.011 617.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.012 618.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.001 619.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.002 620.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.003 621.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.004 622.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.005 623.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.006 624.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2013.012 824.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.001 825.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.002 826.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.003 827.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.004 828.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.005 829.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.006 830.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.007 831.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.008 832.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.009 833.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.010 834.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.011 835.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.012 836.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.001 837.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.002 838.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.003 839.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.004 840.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.005 841.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.006 842.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2013.012 125.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.001 126.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.002 127.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.003 128.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.004 129.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.005 130.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.006 131.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.007 132.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.008 133.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.009 134.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.010 135.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.011 136.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.012 137.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2015.001 138.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2015.002 139.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2015.003 140.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2015.004 141.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2015.005 142.00
P12 4000 000000 A-000036 000 A-000036.1.01.03.04 2015.006 143.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2013.012 407.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.001 408.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.002 409.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.003 410.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.004 411.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.005 412.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.006 413.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.007 414.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.008 415.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.009 416.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.010 417.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.011 418.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2014.012 419.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2015.001 420.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2015.002 421.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2015.003 422.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2015.004 423.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2015.005 424.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.01 2015.006 425.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2013.012 606.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.001 607.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.002 608.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.003 609.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.004 610.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.005 611.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.006 612.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.007 613.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.008 614.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.009 615.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.010 616.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.011 617.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2014.012 618.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2015.001 619.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2015.002 620.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2015.003 621.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2015.004 622.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2015.005 623.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.02 2015.006 624.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2013.012 726.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.001 727.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.002 728.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.003 729.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.004 730.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.005 731.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.006 732.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.007 733.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.008 734.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.009 735.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.010 736.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.011 737.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2014.012 738.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2015.001 739.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2015.002 740.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2015.003 741.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2015.004 742.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2015.005 743.00
P12 4000 000000 A-000036 000 A-000036.1.01.05.03 2015.006 744.00
285 RECORDS HAVE BEEN WRITTEN BACK.
WRITING TIME :543.97 ms.
[INFO] GET_DIM_LIST(): I_APPL_ID="Forecasting", #dimensions=8
F_CATEGORY,F_ENTITY,F_PERSON,F_PROJECT,F_SECTION,F_WBSE,MEASURES,TIME
#dim_memberset=2
F_CATEGORY:ACTUAL,1 in total.
TIME:2013.001,2013.002,2013.003,2013.004,2013.005,...11 in total.
REC :%VALUE%
CALCULATION BEGIN:
QUERY PROCESSING DATA
QUERY TIME : 1019.73 ms. 1 RECORDS QUERIED OUT.
QUERY REFERENCE DATA
CALCULATION TIME IN TOTAL :140.35 ms.
1 RECORDS ARE GENERATED.
CALCULATION END.
ENDWHEN ACCUMULATION: 1 RECORDS ARE GENERATED.
DATA TO WRITE BACK:
F_CATEGORY F_ENTITY F_PERSON F_PROJECT F_SECTION F_WBSE TIME SIGNEDDATA
P12 4000 000000 A-000001 000 A-000001.1.01 2013.010 2000.00
1 RECORDS HAVE BEEN WRITTEN BACK.
WRITING TIME :480.96 ms.
SCRIPT RUNNING TIME IN TOTAL:5.07 s.
LOG END TIME:2014-03-14 09:36:28
Prompts
PARAM - YY=2014
DATA REGION - F_CATEGORY=P1
RESULT
PLS NOTE - The 2nd record "ACTUAL" - Project A-000036 / 2013.012 for $5000 is MISSING
LGX:
*XDIM_MEMBERSET F_CATEGORY=P12
*XDIM_MEMBERSET TIME=2014.001,2014.002,2014.003,2014.004,2014.005,2014.006,2014.007,2014.008,2014.009,2014.010,2014.011,2014.012,2015.001,2015.002,2015.003,2015.004,2015.005,2015.006,2015.007,2015.008,2015.009,2015.010,2015.011,2015.012,2016.001,2016.002,2016.003,2016.004,2016.005,2016.006,2016.007,2016.008,2016.009,2016.010,2016.011,2016.012,2017.001,2017.002,2017.003,2017.004,2017.005,2017.006,2017.007,2017.008,2017.009,2017.010,2017.011,2017.012,2018.001,2018.002,2018.003,2018.004,2018.005,2018.006,2018.007,2018.008,2018.009,2018.010,2018.011,2018.012,2019.001,2019.002,2019.003,2019.004,2019.005,2019.006,2019.007,2019.008,2019.009,2019.010,2019.011,2019.012,2020.001,2020.002,2020.003,2020.004,2020.005,2020.006,2020.007,2020.008,2020.009,2020.010,2020.011,2020.012
*WHEN F_CATEGORY
*IS *
*REC(EXPRESSION=%VALUE%,F_CATEGORY=P1)
*ENDWHEN
*XDIM_MEMBERSET F_CATEGORY=ACTUAL
*XDIM_MEMBERSET TIME=
*WHEN F_CATEGORY
*IS *
*REC(EXPRESSION=%VALUE%,F_CATEGORY=P1)
*ENDWHEN
LOG:
LOG BEGIN TIME:2014-03-14 09:40:55
FILE:\ROOT\WEBFOLDERS\F_COUNCIL \ADMINAPP\Forecasting\TEST.LGF
USER:096655
APPSET:F_COUNCIL
APPLICATION:Forecasting
[INFO] GET_DIM_LIST(): I_APPL_ID="Forecasting", #dimensions=8
F_CATEGORY,F_ENTITY,F_PERSON,F_PROJECT,F_SECTION,F_WBSE,MEASURES,TIME
#dim_memberset=2
F_CATEGORY:P12,1 in total.
TIME:2014.001,2014.002,2014.003,2014.004,2014.005,...84 in total.
REC :%VALUE%
CALCULATION BEGIN:
QUERY PROCESSING DATA
QUERY TIME : 1342.07 ms. 270 RECORDS QUERIED OUT.
QUERY REFERENCE DATA
CALCULATION TIME IN TOTAL :716.94 ms.
270 RECORDS ARE GENERATED.
CALCULATION END.
ENDWHEN ACCUMULATION: 270 RECORDS ARE GENERATED.
DATA TO WRITE BACK:
F_CATEGORY F_ENTITY F_PERSON F_PROJECT F_SECTION F_WBSE TIME SIGNEDDATA
P1 4000 000000 A-000036 000 A-000036.1.01 2014.001 104.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.002 105.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.003 106.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.004 107.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.005 108.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.006 109.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.007 110.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.008 111.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.009 112.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.010 113.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.011 114.00
P1 4000 000000 A-000036 000 A-000036.1.01 2014.012 115.00
P1 4000 000000 A-000036 000 A-000036.1.01 2015.001 116.00
P1 4000 000000 A-000036 000 A-000036.1.01 2015.002 117.00
P1 4000 000000 A-000036 000 A-000036.1.01 2015.003 118.00
P1 4000 000000 A-000036 000 A-000036.1.01 2015.004 119.00
P1 4000 000000 A-000036 000 A-000036.1.01 2015.005 120.00
P1 4000 000000 A-000036 000 A-000036.1.01 2015.006 121.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.001 236.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.002 237.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.003 238.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.004 239.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.005 240.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.006 241.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.007 242.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.008 243.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.009 244.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.010 245.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.011 246.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2014.012 247.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2015.001 248.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2015.002 249.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2015.003 250.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2015.004 251.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2015.005 252.00
P1 4000 000000 A-000036 000 A-000036.1.01.01 2015.006 253.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.001 345.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.002 346.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.003 347.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.004 348.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.005 349.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.006 350.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.007 351.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.008 352.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.009 353.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.010 354.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.011 355.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2014.012 356.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.001 357.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.002 358.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.003 359.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.004 360.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.005 361.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.01 2015.006 362.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.001 495.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.002 496.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.003 497.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.004 498.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.005 499.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.006 500.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.007 501.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.008 502.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.009 503.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.010 504.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.011 505.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2014.012 506.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.001 507.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.002 508.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.003 509.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.004 510.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.005 511.00
P1 4000 000000 A-000036 000 A-000036.1.01.01.02 2015.006 512.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.001 574.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.002 575.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.003 576.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.004 577.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.005 578.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.006 579.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.007 580.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.008 581.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.009 582.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.010 583.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.011 584.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2014.012 585.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2015.001 586.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2015.002 587.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2015.003 588.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2015.004 589.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2015.005 590.00
P1 4000 000000 A-000036 000 A-000036.1.01.02 2015.006 591.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.001 664.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.002 665.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.003 666.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.004 667.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.005 668.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.006 669.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.007 670.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.008 671.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.009 672.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.010 673.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.011 674.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2014.012 675.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.001 676.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.002 677.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.003 678.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.004 679.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.005 680.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.01 2015.006 404.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.001 766.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.002 767.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.003 768.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.004 769.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.005 770.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.006 771.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.007 772.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.008 773.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.009 774.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.010 775.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.011 776.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2014.012 777.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.001 778.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.002 779.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.003 780.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.004 781.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.005 782.00
P1 4000 000000 A-000036 000 A-000036.1.01.02.02 2015.006 493.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.001 431.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.002 432.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.003 433.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.004 434.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.005 435.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.006 436.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.007 437.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.008 438.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.009 439.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.010 440.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.011 441.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2014.012 442.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2015.001 443.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2015.002 444.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2015.003 445.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2015.004 446.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2015.005 447.00
P1 4000 000000 A-000036 000 A-000036.1.01.03 2015.006 448.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.001 585.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.002 586.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.003 587.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.004 588.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.005 589.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.006 590.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.007 591.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.008 592.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.009 593.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.010 594.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.011 595.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2014.012 596.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.001 597.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.002 598.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.003 599.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.004 600.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.005 601.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.01 2015.006 602.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.001 607.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.002 608.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.003 609.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.004 610.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.005 611.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.006 612.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.007 613.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.008 614.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.009 615.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.010 616.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.011 617.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2014.012 618.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.001 619.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.002 620.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.003 621.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.004 622.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.005 623.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.02 2015.006 624.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.001 825.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.002 826.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.003 827.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.004 828.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.005 829.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.006 830.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.007 831.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.008 832.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.009 833.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.010 834.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.011 835.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2014.012 836.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.001 837.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.002 838.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.003 839.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.004 840.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.005 841.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.03 2015.006 842.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.001 126.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.002 127.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.003 128.00
P1 4000 000000 A-000036 000 A-000036.1.01.03.04 2014.004 -
Concatenate a column value across multiple rows - PDW
We are using PDW based on SQL2014. We require an efficient logic on how to concatenate a column value across multiple rows. We have the following table
T1
(CompanyID, StateCD)
Having following rows:
1 NY
1 NJ
1 CT
2 MA
2 NJ
2 VA
3 FL
3 CA
We need a code snippet which will return following result set:
1
CT,NJ,NY
2
MA,NJ,VA
3
CA,FL
We have tried built-in function STUFF with FOR XML PATH clause and it is not supported in PDW. So, we need a fast alternative.Hi Try this:
SELECT * INTO #ABC
FROM
SELECT 1 AS ID,'NY' AS NAME
UNION
SELECT 1 AS ID,'NJ' AS NAME
UNION
SELECT 1 AS ID,'CT' AS NAME
UNION
SELECT 2 AS ID,'MA' AS NAME
UNION
SELECT 2 AS ID,'NJ' AS NAME
UNION
SELECT 2 AS ID,'VA' AS NAME
UNION
SELECT 3 AS ID,'FL' AS NAME
UNION
SELECT 3 AS ID,'CA' AS NAME
)A
CREATE TABLE ##CDB (ID INT, NAME NVARCHAR(800))
DECLARE @TMP VARCHAR(MAX),
@V_MIN INT,
@V_MAX INT,
@V_COUNT INT
SELECT @V_MIN=MIN(ID),@V_MAX=MAX(ID) FROM #ABC
SET @V_COUNT=@V_MIN
WHILE @V_COUNT<=@V_MAX
BEGIN
SET @TMP = '' SELECT @TMP = @TMP + CONVERT(VARCHAR,NAME) + ', ' FROM #ABC
WHERE ID=@V_COUNT
INSERT INTO ##CDB (ID, NAME) SELECT @V_COUNT AS ID ,CAST(SUBSTRING(@TMP, 0, LEN(@TMP)) AS VARCHAR(8000)) AS NAME
SET @V_COUNT=@V_COUNT+1
END
SELECT * FROM ##CDB
OR
SELECT * INTO #ABC
FROM
SELECT 1 AS ID,'NY' AS NAME
UNION
SELECT 1 AS ID,'NJ' AS NAME
UNION
SELECT 1 AS ID,'CT' AS NAME
UNION
SELECT 2 AS ID,'MA' AS NAME
UNION
SELECT 2 AS ID,'NJ' AS NAME
UNION
SELECT 2 AS ID,'VA' AS NAME
UNION
SELECT 3 AS ID,'FL' AS NAME
UNION
SELECT 3 AS ID,'CA' AS NAME
UNION
SELECT 5 AS ID,'LG' AS NAME
UNION
SELECT 5 AS ID,'AP' AS NAME
)A
CREATE TABLE ##CDB (ID INT, NAME NVARCHAR(800))
DECLARE @TMP VARCHAR(MAX),
@V_MIN INT,
@V_MAX INT,
@V_COUNT INT
SELECT @V_MIN=MIN(ID),@V_MAX=MAX(ID) FROM #ABC
SET @V_COUNT=@V_MIN
WHILE @V_COUNT<=@V_MAX
BEGIN
SET @TMP = '' SELECT @TMP = @TMP + CONVERT(VARCHAR,NAME) + ', ' FROM #ABC
WHERE ID=@V_COUNT
SELECT @V_COUNT AS ID ,CAST(SUBSTRING(@TMP, 0, LEN(@TMP)) AS VARCHAR(8000)) AS NAME INTO #TEMP
INSERT INTO ##CDB (ID, NAME) SELECT ID, NAME FROM #TEMP WHERE NAME<>''
DROP TABLE #TEMP
SET @V_COUNT=@V_COUNT+1
END
SELECT * FROM ##CDB
Thanks Shiven:) If Answer is Helpful, Please Vote -
Calculated value from multiple rows in selection set
Consider this query
SELECT WELL.UWI
FROM geo_formation A, WELL
WHERE ( (select min(top_depth)
from geo_formation B
where B.uwi = A.uwi
and form_id = 'WDBD' )
(select min(top_depth)
from geo_formation C
where C.uwi = A.uwi
and form_id = 'VKNS' )
) > 10
AND A.uwi = WELL.UWI
AND A.FORM_ID IN ('WDBD','VKNS')
ORDER BY WELL.UWI, A.FORM_ID
The question asked by the query is
Show me all the entities (entities are identified by WELL.UWI)
where the distance between the geological formations (identified by WDBD and VKNS)
is greater than 10
The distance in question of course is calculated in the
(select min(top_depth)
from geo_formation B
where B.uwi = A.uwi
and form_id = 'WDBD' )
(select min(top_depth)
from geo_formation C
where C.uwi = A.uwi
and form_id = 'VKNS' )
portion of the where clause.
** My question:
Is there any way to get this calculated value to be part of the selection list
ie.
SELECT WELL.UWI, 'the calculated value in question'
FROM geo_formation A, WELL ...Thanks Barbara; once again your solution to one of my problems works like a charm.
On top of that, I learned something important; I did not know that one can essentially achieve the same results as creating a temporary table by including the appropriate (select ...) in the from clause.
Thanks again.
<BLOCKQUOTE><font size="1" face="Verdana, Arial, Helvetica">quote:</font><HR>Originally posted by Barbara Boehmer ([email protected]):
SELECT a.uwi, (bmin - cmin) distance
FROM well a,
(SELECT uwi, MIN (top_depth) bmin
FROM geo_formation
WHERE form_id = 'WDBD'
GROUP BY uwi) b,
(SELECT uwi, MIN (top_depth) cmin
FROM geo_formation
WHERE form_id = 'VKNS'
GROUP BY uwi) c
WHERE b.uwi = a.uwi
AND c.uwi = a.uwi
AND bmin - cmin > 10
ORDER BY a.uwi
/<HR></BLOCKQUOTE>
null -
Parameters spaning across multiple years.
Hi,
Can you help me regarding the parameters in Discoverer.
The requirement is as follows.
I have Four parameters .......
Parameter 1:Start Year
Parameter 2:Starting Month
Parameter 3:Ending Year
Parameter 4:Ending Month
For EX:
If values are as follows
Parameter 1:2006
Parameter 2:JULY
Parameter 3:2008
Parameter 4:FEB
Now the report should display the data ranging from JULY 2006 to FEB 2008.
Thanks in Advance.
Regards
SridharCreate a calculation called get_start_date as
to_date(:parameter_2||:parameter_1, 'MONYYYY')Create a second calculation called get_end_date as
last_day(to_date(:parameter_4||:parameter_3, 'MONYYYY'))Then create a condition like
report_date BETWEEN get_start_date AND get_end_date -
Finding the minimum value across multiple rows (not in a single column)
Hello,
I am running some ad-hoc SQL to test a website implementation of a spec. The ad-hoc sql gives me a set of date values for a specific widget (called a Task). I need to find the Minimum of either (Task.EndDate + 1 year) or the MAX date from the list
of other dates. I can easily get all of these dates, and compare them visually, but I'm not sure how to make SQL give me just the single value that I want. In the image below, you can see the results. The blue cell is the value I should get if I were to retrieve
a single value.
select
[EndDate+12Mo] = DATEADD(year,1,t.EndDate)
, [TaskEdit] = t.EditTS
, [ResearchEdit] = (select x.editts from Research x where t.researchid = x.researchid)
, [DeliverableEdit] = (select max(x.EditTS) from Deliverable x where t.taskid = x.taskid)
, [RTPEdit] = (select max(x.EditTS) from ResTaskParticipant x where (t.taskid = x.taskid and t.researchid = x.researchid) or (t.researchid = x.researchid and x.TaskID is null) )
, [RelatedTaskEdit] = (select max(x.EditTS) from Task_Related x where t.taskid = x.Task1ID or t.TaskID = x.Task2ID)
, [CrosscutEdit] = (select max(x.EditTS) from Task_Crosscut x where t.taskid = x.taskid)
, [TaskFundingEdit]= (select max(x.EditTS) from TaskFunding x where t.taskID = x.taskID)
, [ContractFundingEdit]= (select max(x.EditTS) from TaskFunding x inner join ContractFunding y on x.ContractFundingID = y.ContractFundingID where t.taskID = x.taskID)
from task t
where
t.tasknumber =
'2123.001'
Thanks!
JenniferSounds like this to me
select CASE WHEN [EndDate+12Mo] < MAX(dt) THEN [EndDate+12Mo] ELSE MAX(dt) END AS YourDateValue
from
SELECT [EndDate+12Mo],dt
from
select
[EndDate+12Mo] = DATEADD(year,1,t.EndDate)
, [TaskEdit] = t.EditTS
, [ResearchEdit] = (select x.editts from Research x where t.researchid = x.researchid)
, [DeliverableEdit] = (select max(x.EditTS) from Deliverable x where t.taskid = x.taskid)
, [RTPEdit] = (select max(x.EditTS) from ResTaskParticipant x where (t.taskid = x.taskid and t.researchid = x.researchid) or (t.researchid = x.researchid and x.TaskID is null) )
, [RelatedTaskEdit] = (select max(x.EditTS) from Task_Related x where t.taskid = x.Task1ID or t.TaskID = x.Task2ID)
, [CrosscutEdit] = (select max(x.EditTS) from Task_Crosscut x where t.taskid = x.taskid)
, [TaskFundingEdit]= (select max(x.EditTS) from TaskFunding x where t.taskID = x.taskID)
, [ContractFundingEdit]= (select max(x.EditTS) from TaskFunding x inner JOINContractFunding y on x.ContractFundingID = y.ContractFundingID where t.taskID = x.taskID)
from task t
where
t.tasknumber =
'2123.001'
)t1
UNPIVOT(dt FOR cat IN ([TaskEdit]
, [ResearchEdit]
, [DeliverableEdit]
, [RTPEdit]
, [RelatedTaskEdit]
, [CrosscutEdit]
, [TaskFundingEdit]
, [ContractFundingEdit]))u
)r
GROUP BY [EndDate+12Mo]
Please Mark This As Answer if it helps to solve the issue Visakh ---------------------------- http://visakhm.blogspot.com/ https://www.facebook.com/VmBlogs -
How do I search for common values across multiple columns?
I am coordinating a schedule with 5 people across hundreds of dates, and have columns A-E filled with many rows of dates. How can I make a new column that displays all the dates (values) that each person (column) has in common with all the others?
Is there a simple formula for this?
thanks!Scarampella,
A second table can be used to find your matching dates.
Here's an example:
The formula in Matching Dates is:
=IF(ISERROR(MATCH(A,Table 1 :: A, 0)+MATCH(A,Table 1 :: B, 0)+MATCH(A,Table 1 :: C, 0)+MATCH(A,Table 1 :: D, 0)+MATCH(A,Table 1 :: E, 0)), "", A)
Basically, I look for matches in each person's list of dates, and if any fail to produce a match with the date being examined, the result is a miss, and if all match, it's a hit. You can sort the result to get a short list of matches without spaces.
Regards,
Jerry -
Add values across multiple subject areas
Hello Everyone,
This is a pressing issue i am facing at the moment. I am on OBIEE 11g latest version.
This is the scenario at hand.
There are several tables of which each connects to the same time dimension and a global customer dimension. There are several products such as deposits, loans, pawning, leases, etc.
For the time being, i have created separate subject areas for each of these products. And each subject area has an INCOME column.
The requirement is to get the total of all the income columns from all the subject areas so that that total can be used for other calculations.
The most probable solution from my R&D seems to be trying to add several subject areas for querying purposes. (Add / Remove Subject Areas option)
In the RPD, right clicked on the deposits subject area and clicked on the option "... star or snowflake schema". This created a copy of the subject area on the BMM and added it on to the presentation layer. Now in thr analysis, choosing deposits, i click on the Add / Remove Subject Areas. The option has the newly created copy of the subject area i already have.
My requirement is to add deposits and loans and pawning and etc.... What am i doing wrong here?
Also, is there any other method to approach the problem?Let me try to describe the model as best as possible.
I am trying to calculate the profitability of each customer for two banks. These banks have deposits, loans, leases, etc. Each customer is identified by a global id. The global ID is a dimension table. Then there is a the time Dimension.
Bank A has it's own deposits and Bank B does too. A customer can/cannot have accounts in Bank A/Bank B/or Both Bank A and B. Similarly a customer can have a lease in either or both of the banks and this continues for other products.
Each Global ID is referenced to a Client ID. Each client ID can have several Internal Keys which are referenced to each account the customer might have.
For bank A > deposits, i have a fact table which connects to the Dim Time and Dim Global customer table. there are other dimension tables which connect to the same fact.
Similarly bank B > deposits has the same look and feel. Only thing is i connected the fact of bank b - deposits to the same Time and Global Customer table. So now there is a circular join. And this join gets really complicated when i add the fact tables of other categories such as leasing, pawning, etc. Since my goal is to calculate the total of profitability from each of these categories (deposits + loans + pawning +...), i tried to write a formula but i do get the error that "no fact exists"
For the time being i have created individual connections for each product. For example, deposits will have its own global customer and time and be connected to that particular fact. Similarly, pawning will have its own global customer and time (created alias tables for each of them). So right now i have the profitability of each customer on different categories.
What i want to do is get the total of profitability for an individual customer for all the product type the customer has, and use that for further specific formula calculations. -
AWM Calculated Measure for Percent of Total Across Multiple Dimensions?
I noticed that AWM has a Share function that gives me a percent total of a grain from a specific hierarchy's Top of Hierarchy, but is there any way to do that with multiple dimensions? For example, if I had a Share of Dimension X = 55% Where Time = 1/1/2013 and a Share of Dimension Y = 32% Where Time = 1/1/2013, then could I have a Share of both Dimension X and Dimension Y = 16% Where Time = 1/1/2013?
I had used an alternate solution which is a bit more cumbersome using native OLAP_DML formulae/expression.
The above expression using OLAP Expression Syntax is much better (if it works).
I was not aware of this OLAP expression syntax when i needed to create a kpi for similar requirement.
We had Qty measure and Share along dimension like "Qty - Share at Year level", "Qty - Share of Total Customer".
We needed to get "Qty - Share at Total Customer, Year".
Cube= SALESCUBE
Base Meas = QTY
Step 1) Create Measure which represents "Qty - Total Customer, Year" which will work in any reporting context ...
Note: For time=day1/2/3/ within same year and customer=cust1/2/3/... or Total Customer, the expression result will be constant (result fixed for any dimension members/status along the 2 dimensions - TIME and CUST). Denominator Value changes each year since we have constrainted time dimension to the ancestor of current cell at YR level. If we choose anscestor at TOP level TOTTIME say then the value is fixed for all time dimension members/values.
olap dml expression: QUAL(SALESCUBE_QTY, CUSTOMER limit(CUSTOMER to CUSTOMER_LEVELREL 'TCUST'), TIME limit(limit(TIME to ANCESTORS USING TIME_PARENTREL TIME(TIME TIME)) KEEP TIME_LEVELREL eq 'YR'))
in awxml - this becomes:
ETMeasureColumnName="QTY_TCUST_YR"
Name="QTY_TCUST_YR"
MeasureExpression="OLAP_DML_EXPRESSION('QUAL(SALESCUBE_QTY, CUSTOMER limit(CUSTOMER to CUSTOMER_LEVELREL ''TCUST''), TIME limit(limit(TIME to ANCESTORS USING TIME_PARENTREL TIME(TIME TIME)) KEEP TIME_LEVELREL eq ''YR''))', NUMBER)">
<Classification
Value="AwmDescriptionType=OLAP_DML_CALC"/>
<Description
Type="LongDescription"
Language="AMERICAN"
Value="Qty - Total Customer, Year">
Step 2) Define the share measure explicitly since we have already calculated the denominator needed for composite share.
Check for division by 0 error before performing the share calculation explicitly as Numerator= Qty (for current cell/reporting context) and Denominator = Qty - Total Customer, Year (from Step 1)
olap dml expression: if SALESCUBE_QTY_TCUST_YR ne 0 then SALESCUBE_QTY / SALESCUBE_QTY_TCUST_YR else na
in awxml - this becomes:
ETMeasureColumnName="QTY_SHARE_TCUST_YR"
Name="QTY_SHARE_TCUST_YR"
MeasureExpression="OLAP_DML_EXPRESSION('if SALESCUBE_QTY_TCUST_YR ne 0 then SALESCUBE_QTY / SALESCUBE_QTY_TCUST_YR else na', NUMBER)">
<Classification
Value="AwmDescriptionType=OLAP_DML_CALC"/>
<Description
Type="LongDescription"
Language="AMERICAN"
Value="Qty - Share of Total Customer, Year">
</Description>
Report needs to use measure QTY_SHARE_TCUST_YR (Qty - Share of Total Customer, Year) defined in Step 2. It may be useful to expose/display intermediate measure QTY_TCUST_YR also so as to make the basis of calculation very clear to the user.
Nick,
If you customize above soln. to use Total Time, Total Prod and Total Organization (along 3 dimensions)... I am sure the fact table has a time dimension which should also be factored in in your calc/defn.
If you have missed out the join to Time dimension from fact in your queries, in olap reporting terms, its similar to Time Dimension selection of Time level = TTIME Total Time (1 node at TOP).
You need:
Step 1) Qty - Total Time, Total Product and Total Org
Step 2) Qty - Share of Total Time, Total Product and Total Org
Then the example you gave should be covered via QTY and QTY_SHARE_TTIME_TPROD_TORG (Step 2)
SUM(quantity)
2875should be QTY, QTY_SHARE_TTIME_TPROD_TORG (=100%) at Time level = TTIME, Product level = TPROD, Org level = TORG
SUM(quantity)
345 [12% of all products sold]should be QTY, QTY_SHARE_TTIME_TPROD_TORG (=12% hopefully) at Time level = TTIME, Product level = PROD with report filter on product = 'CX-867054', Org level = TORG
SUM(quantity)
977 [34% of all products sold]should be QTY, QTY_SHARE_TTIME_TPROD_TORG (=34% hopefully) at Time level = TTIME, Product level = TPROD, Org level = STORE with report filter on store = 'NY_ALBA_013'
SUM(quantity)
88 [3.06% of all products sold]should be QTY, QTY_SHARE_TTIME_TPROD_TORG (=3.06% hopefully) at Time level = TTIME, Product level = PROD with report filter on product = 'CX-867054', Org level = STORE with report filter on store = 'NY_ALBA_013'
HTH
Shankar -
Value of Multiple-Selection List box is not appearing "calculated value" field of it
Hello,
We have created one selection list box using control "Multiple Selection List Box", where user can select one or more values.
We have created one view in InfoPath form, which have calculated value of fields(just showing purpose and printing purpose this view has ben created).
In this when we try to show calculated value of field is of Multiple Selection List Box, it's showing as "Off".
Could you please help us out.
Thanking you in advance.
Regards,
JayashriHi,
Thanks for your sharing! It will be beneficial to others in this forum who meet the same issue in the future.
Wendy
TechNet Community Support
Please remember to mark the replies as answers if they help, and unmark the answers if they provide no help. If you have feedback for TechNet Support, contact
[email protected] -
Spread Data Over Multiple Months & Years with Data from Multiple Years
Hello Everyone,
I have a complex calculation for spreading values over several months spanning mulitle years. Because we have a 36 month rolling Forecast, a more sophisticated calc is required as opposed to hard coding months or years.
Heres the description:
Users enter the following data,
FY11 BegBalance Number of BOD Members 10
BOD Options Vesting Months 20
BOD Options Accounting Value 10
BOD Options- Number of Shares 100
BOD Grant Month Aug
FY12 BegBalance Number of BOD Members 5
BOD Options Vesting Months 10
BOD Options Accounting Value 5
BOD Options- Number of Shares 200
BOD Grant Month Oct
FY13 BegBalance Number of BOD Members 20
BOD Options Vesting Months 8
BOD Options Accounting Value 20
BOD Options- Number of Shares 100
BOD Grant Month Feb
Based on the above;
"BOD Stock" is calculated as following/month=Number of BOD Members*BOD Options Accounting Value*BOD Options- Number of Shares/ BOD Options Vesting Months
Start month for the above is based on "BOD Grant Month". So, for instance considering data for FY11:
The total "BOD Stock" value is $10000 (originating from FY11) with start month of AUG in FY11 and the number of months to spread over is 20 months. So, essentially the "BOD Stock" per month (originating from FY11) is $500 starting from AUG FY11 to Mar FY13.
Similarly, the total "BOD Stock" value is $5000 (originating from FY12) with start month of OCT in FY12 and the number of months to spread over is 10 months. So, essentially the "BOD Stock" per month (originating from FY12) is $500 starting from OCT FY12 to JUL FY13.
The challange I am facing is because of the number of months to spread. Because I have data to spread from multiple years and each year's data spills into the following years, each year should accumulate data from prior years. For instance;
FY11 should include only FY11
FY12 should include FY11 and FY12
FY13 should include FY11, FY12 and FY13.
Could anyone suggest a smarter way to do this without writting code for each year, maybe using @MDALLOCATE function? The following shows how data should be spread and accumulated.
BegBalance Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Period
FY11 Number of BOD Members 10 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options Vesting Months 20 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options Accounting Value 10 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options- Number of Shares 100 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Grant Month Aug #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Stock 10000 #mi #mi #mi #mi #mi #mi #mi 500 500 500 500 500 #mi
FY12 Number of BOD Members 5 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options Vesting Months 10 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options Accounting Value 5 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options- Number of Shares 200 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Grant Month Oct #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Stock 5000 500 500 500 500 500 500 500 500 500 1000 1000 1000 #mi
FY13 Number of BOD Members 20 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options Vesting Months 8 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options Accounting Value 20 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Options- Number of Shares 100 #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Grant Month Feb #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi #mi
BOD Stock 40000 1000 6000 6000 5500 5500 5500 5500 5000 5000 #mi #mi #mi #mi
Appreciate your inputs!
Edited by: user10678366 on Oct 12, 2010 3:21 PMWhy not use substitution variables for Years? you could have something like &Year1, &Year2, &Year3
Cheers -
Year Over Year Comparison for Multiple Years
I have a business request where the client is asking for a year over year percentage comparison for multiple years
So for example
Applications
2015 5
2014 10
2013 22
So in year 2015 we can see that applications is currently down (5-50/10 - [New-Old/Old] by -50% compared to year prior
In year 2014 we are down -55%
Ultimately I wanted to display the following
Applications
2015 -50%
2014 -55%
2013
I have an idea of how to do this for a single year, where a presentation variable is fed in then I can just do this year minus previous year.
I was wondering, how can I do this calculation or presentation in OBIEE? Can this be done within answers? Or does something need to be done in the RPD?As long as your model is correctly done with a time hierarchy you can just use the time series function AGO to get the value of previous year.
So in the formula you can calculating your delta in % comparing the current year amount and the previous one.
You can do it in the analysis directly, but if you will often need to access "previous year measures" would be a good idea to add it in the RPD so you don't need to write the formula every single time. -
How do I total across multiple Tables? Help!
how do I total across multiple Tables? Help!
I feel like a complete noob.Hi Marc,
There is no function explicitly for that sort of array calculation in Numbers.
My favorite way is to use a list of Table Names and the INDIRECT(ADDRESS) function combination to produce a SUM across tables. I'm making the assumption that you want to do something like adding up all the values in a particular cell of multiple tables. For example "give me the total of all the A1 cells in tables T1, T2, T3 and T4". For this I would use the formula:
=INDIRECT(ADDRESS(1,1,1,,A))
to grab the cell contents of the table names mentioned in column A of a summary table. Once you have them collected in your summary table, add them up.
Here's a screen shot...
Hope that gives you an idea for approaching this problem.
Jerry -
GL Account Line items - Across Fiscal year
Hi,
Is there any way to get the line items for GL accounts across fiscal years? Let us say the fiscal year is from Jan to Dec. If I want to see all the line items from Nov 2009 to Mar 2010 in one report, is there any standard report that would let me pull the line items across fiscal years? Have any one else come across this requirement?
I was not able to find any standard report and was trying to develop using report painter. But did not have any luck with the period variable to go to the prior fiscal year when it gets to zero. I could give the period and year as March 2010 and give value 3 to a variable and it would go an get the line items/balances from Jan to Mar. But if I give the value to the variable as 5 I get an error message. (REPLACE_VARIABLES; SUBRC= 0; &ZPR3 Message no. GR016)
Thanks in advance for your help. Points would be assigned for useful answers.
Thanks,
SD.The only way we can use FBL3N or FAGLL03 is by entering the posting date in the main screen. As we are using 4-5-4 calendar, the period end dates are not the same as the month end dates.
You can not enter the period and year in the dynamic selections and get the results.
Is there any other method?
Thanks,
SD. -
This may be a dumb question, but I can't seem to find any definitive information after having done many, many searches. Short question is - can Windows Server Backup spread a single backup job across multiple disks if they are not in a storage
pool or some other RAID/JBOD structure?
Background:
I'm running Server 2012 Essentials with all Windows Updates installed. I have been backing up approx 2.8TB of data (Bare Metal Recovery, C:, S: (shared folders), and system reserved) for the past year+ onto a storage pool made up of two-2TB external
USB drives. Backup is slow (takes approx 1.5 days to complete), but generally works. Not surprisingly I was constantly getting capacity low messages so I decided to increase my backup storage pool by adding a 3TB drive and another spare 750GB drive
for a total of 7.75TB. Instead of having four separate external USB enclosures, I bot a 4-bay enclosure - Startech.com model #S3540BU33E to simplify this (or so I thought!).
The first problem I had was adding the two new drives to the existing storage pool. I think that is because the Startech uses a JMicron USB controller that reports identical uniqueid's for all drives so only one shows up in the GUI interface for creating storage
pools. After doing research on this, I set up a new storage pool and virtual disk using all four drives via Powershell and thought I was good. However, when the backup ran, it failed after filling the first drive, saying there was no remaining capacity. In
reality there were three remaining empty drives and there storage pool reported almost 5TB of avail capacity. I assumed this was due to the identical uniqueid issue so I decided to try a different tactic.
Instead of using a storage pool that combines all four disks into one virtual disk, I just added each of them to Windows Server Backup as individual drives thinking it would manage them collectively. I.e., when a drive filled up during a particular backup,
it would just start using the next drive and so on. Apparently this was a foolish assumption because the backup failed again as soon as the first disk filled up.
So now I don't know if this is still an issue with the identical uniqueid's or if Server Backup actually can't spread a single backup across multiple individual drives that aren't in a pool or other virtual disk implementation. Hence, my original question.
My guess is that it does *not* spread them across individual disks, but I just wanted to get confirmation.
ThanksMandy,
Thank you for following up on my question.
Unfortunately the article you referenced doesn't address what I am trying to accomplish.
The article focuses on saving the same backup job to multiple disks and rotating the disks between on and offsite for enhanced protection. However, it still requires that an individual backup job fits on a single disk.
What I am trying to determine is if a single backup job can span across more than one physical disk (during the backup process) without those physical disks being in some type of virtual disk implementation (e.g., storage pool, RAID, etc.).
Thanks,
Gerry
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