Time Series Function-Ago

Hi Guys,
I have an issue with the AGO function.
I have used a formulae some thing like below.
Ago("CCLRDC"."Fact - Balances Measures"."YTD Balance" , "CCLRDC"."Period"."Month" , 3)
Similarly like for month 2 and month 1.Well the point is I need a ytd bal for the prev 3 months and current month too.
When I pass the filter as APR-2012 im getting data for APR-12,MAR-12,FEB-12,JAN-12 But
When I pass the filter as MAR-2012 im only getting data for MAR-12,FEB-12,JAN-12 but could not get data for DEC-11
Please someone help me out .
Thank You,
Aru

Its been working when for the same year but when it rolls back to previous year its nt working

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SQL for Time Series Functions AGO and YTD

When we use a time series function such as AGO or TODATE, OBIEE creates 2 physical queries. One query reads the calendar table. The other query reads the fact table without any date filter in the WHERE clause. Then the results of the 2 queries are stitched together. The query on the fact table returns a lot of rows because there is no filter on date.
Is there a way to force OBIEE to put a filter on the date when performing the physical query on the fact table when using AGO or TODATE?
Thanks,
Travis
v11.1.1.6

We do have a date filter on the analysis. We need the analysis to show sales for a certain month and sales for that month a year ago, so we use the AGO function. However, it is really slow because it does a physical query on the sales table without filtering on date and then filters the results of that physical query by the dates from the physical query on the calendar table.

Like Time Series function AGO, but for Future calculations

Hello All,
Is there a time series function that can do the same as AGO but going forward?.
I tried using the same AGO function but adding <<number of periods>> = -1, but that didn't work.
I'm interested on getting daily, monthly or yearly future calculations.
Thanks.
Edited by: PabloC2 on Mar 3, 2009 1:37 PM

Hi
try this
and in 6th point of blog entry, you may need to put plus symbol to add
http://shivabizint.wordpress.com/2008/09/19/rolling-months-data-for-year-month-prompt-in-obiee/
i didn't check.. but hope it works out

How to apply time series function on physical columns in OBIEE RPD

Hi,
I know a way to apply time series function(Ago and ToDate) by using existing logical columns as the source. I have set the chronological key and created time dimension. In the expressiion builder for the same Time Dimension appears at the Top so that we can use its level.
But I couldn't apply a time series function when i have to create a logical column using physical columns. In the expression builder for the same, Time dimension does not appear in the list. Neither can i use any column from the time dimension. Please let me know a way to do it.
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Time series functions are - by design and purpose - only valid for derived logical columns and not useable inside physical mappings.
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in OBIEE 10g it wasn't possible to use time series functions [AGO, TO_DATE] on horizontally fragmented fact tables. This was due to be fixed in 11g.
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Tkx
Emil

Hello,
Can you give us some examples for "horizontally fragmented fact tables", we can tell you whether we can do that or not?
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Time series functions are not working in OBIEE for ESSBASE data source

Hi All,
I am facing a problem in OBIEE as I am getting error messages for measure columns with Time series functions(Ago,ToDate and PeriodRolling) in both RPD and Answers.
Error is "Target database does not support Ago operation".
But I am aware of OBIEE supports Time Series functions for Essbase data source.
using Hyperion 9.3.1 as data source and obiee 11.1.1.5.0 as reporting tool.
Appreciate your help.
Thanks,
Aravind

Hi,
is because the time series function are not supported for the framentation content, see the content of the oracle support:
The error occurs due to the fact the fragmented data sources are used on some Time series measures. Time series measures (i.e. AGO) are not supported on fragmented data sources.
Confirmation is documented in the following guide - Creating and Administering the Business Model and Mapping Layer in an Oracle BI Repository > Process of Creating and Administering Dimensions
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Regards,
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Time series functions in OBIEE

Hi
I am new to OBIEE.
In Report i want to use the AGO function to find the previous quarter revenue
But the AGO function requires time dimension level as shown in following syntax
how should i insert it in the function
Syntax
AGO(expr, [time_level], offset)
Thanks
Sravanthi

Once you have day dimension with checked for 'Time dimension'
you can see day dimension in rpd expression builder, once you select the function you'll choose each columns.
for ref:
Check these links
http://gerardnico.com/wiki/dat/obiee/ago
or
http://iniu.net/content/obiee-time-comparison-using-time-series-function-ago
Pls mark as correct

Bad performance due to the use of AGO and TO_DATE time series functions

Hi all,
I'm building an OBI EE Project on top of a 1TB DW, and i'm facing major performance problems due to the use of the AGO and TO_DATE time series functions in some of the Metrics included on the reports. I discovered that when a report with one of those metrics is submited to the DB, the resulting query/explain plan is just awful!... Apparently OBI EE is asking the DB to send everything it needs to do the calculations itself. The CPU cost goes to the roof!
I've tried new indexes, updated statistics, MV's, but the result remains the same, i.e., if you happen to use AGO or TO_DATE in the report you'll get lousy query time...
Please advise, if you have come across the same problem.
Thanks in advance.

Nico,
Combining the solution to view the data in dense form (http://gerardnico.com/wiki/dat/obiee/bi_server/design/obiee_densification_design_preservation_dimension), and the use of the lag function (http://gerardnico.com/wiki/dat/obiee/presentation_service/obiee_period_to_period_lag_lead_function) appears to be the best solution for us.
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YTD, MTD, YAGO, Function (Time-series Functions TODATE, AGO) Like OBIEE

Dear BO Gurus,
I am a newbie to business object. I would like to ask are there any ready made time series functions which can be used in the BO Semantic layer (universe).
Like Year to Date, Year Ago. Functions like TODATE and AGO functions found in OBIEE semantic layer (siebel analytics). It was just simple there, I had to use the function on the semantic layer and BI server would raise the query to get the answer.
The syntax was
Todate(measure, time_dim_attribute)
Ago(measure, Time_Dim_Attribute, period)
Thanks & Regards
Ishaq

Dear Gurus,
There is no DB function in oracle to do this (AGO/TODATE).
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This eliminates the need to create and store complex time-based
reporting tables.
I would only like to know does the universe designer has this sort of functionality which is present in OBIEE semantic layer. Or I need to create and store time-based reporting tables.
The question can best be answered by some-one has worked on both the BI platforms (OBIEE and BO).
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How to find the year ago measure with out using time series functions

hi all
is there any way to find year ago sales with out using time series functions like ago
Thanks
Sreedhar

Hello Madan,
Thanks for the reply.
It still doesn't consider the product into account.
My columns are as below
Prod Week End DATE Current Sales Prior Sales % Change
A 12/4/2010 100 0
A 12/11/2010 200 100
A 12/18/2010 300 200
B 12/4/2010 400 300(this value is not for prod B, i want this to b 0 aswell. But we get product A's last sale amount)
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Drilldowns on measure columns based on time series functions.

Guys,
I am new to OBIEE and i need your Help!! I have a dashbaord report which shows the sales USD for the colums below.
REGION , PRIOR MONTH , CURRENT MONTH PRIOR YEAR , CURRENT MONTH PRIOR YEAR MTD , CURRENT MTD , ACTUALS YTD.
All the measures are logical columns caluculated in the RPD using the Time Series Functions. The dasboard report has a Prompt Calender Date and all the measure values are caluclated based on the date entered in the prompt.
For example if the Calender Date on the prompt is 5/31/2011 then the value for the PRIOR MONTH will the sales for APR-2011 and the value for CURRENT MONTH PRIOR YEAR will be MAY-2010 and so on.
The business requirement is to provide the drill down capability on these measure columns. When i click the sales number on the prior month column it should give me all the detailed transactions for the month of APR-2011 considering the prompt for calender date is 31-MAY-2011.
I have provided drilldowns based on the Navigation using the column interatcion but i am unable to understand how to provide the drilldown on the measure columns using the time series functions to caluclate the sales for PRIOR MONTH. CURRENT MONTH PRIOR YEAR...etc.
Please Help!!!
Thanks,
Sandeep.

1. Create an alias fact table (Year Ago) to pull last year value.
2. Extend your fact table to store another measure (last year sales)
3. Based on volume of granular data and query pattern on year ago measures, you may create aggregate fact tables.
hope this helps.

Time series functions are not working for fragmented logical table sources?

If i remove that fragmented logical table sources, then its working fine.
if any body know the reason, please let me know.
thanks and regards,
krishna

Hi,
is because the time series function are not supported for the framentation content, see the content of the oracle support:
The error occurs due to the fact the fragmented data sources are used on some Time series measures. Time series measures (i.e. AGO) are not supported on fragmented data sources.
Confirmation is documented in the following guide - Creating and Administering the Business Model and Mapping Layer in an Oracle BI Repository > Process of Creating and Administering Dimensions
Ago or ToDate functionality is not supported on fragmented logical table sources. For more information, refer to “About Time Series Conversion Functions” on page 197.
Regards,
Gianluca

Perf issues with Time series function in OBIEE

Attached is the SQL:
SELECT SUM (T256675.ACTIVITY_GLOBAL2_AMT) AS c1,
SUM (T256675.ACTIVITY_GLOBAL3_AMT) AS c2
FROM X_FINANCIAL_HIERARCHY_DH T610485 /* Dim_X_GLACCT_ALTVIEW_D */,
X_FINANCIAL_HIERARCHY_DH T610414 /* Dim_X_MGMT_ENTITY_D */,
W_GL_ACCOUNT_D T256463 /* Dim_W_GL_ACCOUNT_D */,
W_GL_BALANCE_F T256675 /* Fact_W_GL_BALANCE_F */,
SAWITH3,
SAWITH6
WHERE ( T256463.ROW_WID = T256675.GL_ACCOUNT_WID
AND T256463.X_FIN_HIER1_WID = T610485.ROW_WID
AND T256463.X_FIN_HIER5_WID = T610414.ROW_WID
AND T256675.BALANCE_DT_WID = SAWITH3.c3
AND SAWITH6.c1 = SAWITH3.c1
AND T610414.ACCOUNT_HIER8_NAME = 'Worldwide'
AND T610414.HIERARCHY_SOURCE = 'EntityMgmt'
AND T610485.ACCOUNT_HIER7_NAME = 'Controllable Expenses'
AND T610485.HIERARCHY_SOURCE = 'AltViews'
AND SAWITH6.c3 = '2009 / 11'
AND SAWITH6.c2 >= SAWITH3.c2
The SAWITH3 and SAWITH6 dimensions using time series fuctions are causing a full table scan on W_GL_BALANCE_F and W_GL_ACCOUNT_D . Though we are interested in just getting 2009/11 data; the queries generated by time series function TODATE is taking us against entire W_DAY_D data and is causing several performance issues.
W_GL_BALANCE_F table has index on GL_ACCOUNT_WID and BALANCE_DT_WID.
How can we force to use index on these columns for better performance.
Please advise us on the right approach to improve performance.
SQL for SAWITH3
===========
WITH SAWITH0 AS
SELECT T31328.ROW_WID AS c3, T31328.PER_NAME_FSCL_QTR AS c4,
ROW_NUMBER () OVER (PARTITION BY T31328.PER_NAME_FSCL_QTR ORDER BY T31328.PER_NAME_FSCL_QTR DESC)
AS c5,
T31328.PER_NAME_FSCL_MNTH AS c6,
ROW_NUMBER () OVER (PARTITION BY T31328.PER_NAME_FSCL_QTR, T31328.PER_NAME_FSCL_MNTH ORDER BY T31328.PER_NAME_FSCL_QTR DESC,
T31328.PER_NAME_FSCL_MNTH DESC) AS c7
FROM W_DAY_D T31328 /* Dim_W_DAY_D_Common */),
SAWITH1 AS
SELECT CASE
WHEN CASE SAWITH0.c5
WHEN 1
THEN SAWITH0.c3
ELSE NULL
END IS NOT NULL
THEN RANK () OVER (ORDER BY CASE SAWITH0.c5
WHEN 1
THEN SAWITH0.c3
ELSE NULL
END ASC NULLS LAST)
END AS c1,
CASE
WHEN CASE SAWITH0.c7
WHEN 1
THEN SAWITH0.c3
ELSE NULL
END IS NOT NULL
THEN RANK () OVER (PARTITION BY SAWITH0.c4 ORDER BY CASE SAWITH0.c7
WHEN 1
THEN SAWITH0.c3
ELSE NULL
END ASC NULLS LAST)
END AS c2,
SAWITH0.c3 AS c3, SAWITH0.c4 AS c4, SAWITH0.c6 AS c5
FROM SAWITH0),
SAWITH2 AS
SELECT MIN (SAWITH1.c1) OVER (PARTITION BY SAWITH1.c4) AS c1,
MIN (SAWITH1.c2) OVER (PARTITION BY SAWITH1.c4, SAWITH1.c5)
AS c2,
SAWITH1.c3 AS c3
FROM SAWITH1),
SAWITH3 AS
SELECT DISTINCT SAWITH2.c1 + 5 AS c1, SAWITH2.c2 AS c2,
SAWITH2.c3 AS c3
FROM SAWITH2),
SQL for SAWITH6
===========
SAWITH4 AS
SELECT T31328.PER_NAME_FSCL_MNTH AS c3, T31328.ROW_WID AS c4,
T31328.PER_NAME_FSCL_QTR AS c5,
ROW_NUMBER () OVER (PARTITION BY T31328.PER_NAME_FSCL_QTR ORDER BY T31328.PER_NAME_FSCL_QTR DESC)
AS c6,
ROW_NUMBER () OVER (PARTITION BY T31328.PER_NAME_FSCL_QTR, T31328.PER_NAME_FSCL_MNTH ORDER BY T31328.PER_NAME_FSCL_QTR DESC,
T31328.PER_NAME_FSCL_MNTH DESC) AS c7
FROM W_DAY_D T31328 /* Dim_W_DAY_D_Common */),
SAWITH5 AS
SELECT CASE
WHEN CASE SAWITH4.c6
WHEN 1
THEN SAWITH4.c4
ELSE NULL
END IS NOT NULL
THEN RANK () OVER (ORDER BY CASE SAWITH4.c6
WHEN 1
THEN SAWITH4.c4
ELSE NULL
END ASC NULLS LAST)
END AS c1,
CASE
WHEN CASE SAWITH4.c7
WHEN 1
THEN SAWITH4.c4
ELSE NULL
END IS NOT NULL
THEN RANK () OVER (PARTITION BY SAWITH4.c5 ORDER BY CASE SAWITH4.c7
WHEN 1
THEN SAWITH4.c4
ELSE NULL
END ASC NULLS LAST)
END AS c2,
SAWITH4.c3 AS c3, SAWITH4.c5 AS c4
FROM SAWITH4),
Thanks
Srini Pendem

Hi Srini,
I've had quite a bit of performance issues with ToDate and Ago. I tended to create materialized views on my fact tables that would materialize those values as columns and that way I would avoid having to use the ToDate or Ago functions. Is there any chance you can implement a similar solution and bypass the time series functions entirely?
Just to check, those tables belong to BI Apps, right? If so, you can log an SR about the performance issue since it's an issue with the model that Oracle sold you.
Good luck!
-Joe

Time series function - everything UP TO start of year

Hi,
I have a requirement to do the following in OBIEE 11.1.1.6.9 however am having some trouble. Basically we have an analytic which is filtered for the current fiscal year for financial actuals:
So running gives us something like:
Year Amount
2013 £1000Now what I need to do is show a single column which represents the actuals for all years prior to the one selected.
So for example, if I had the following dataset:
Year Amount
2010 £500
2011 £500
2012 £750
2013 £1000...and I filtered by year 2013, I would want to see:
Year Amount Previous Years Total
2013 £1000 £1750I wont know how may years this can go back (ie, could be many and variable) so can't just add up successive AGO() statements. I know I could not filter on 2013 directly and then use "FILTER(amount) using year" on the first column, but that seems very inefficient, especially seeing as the actual analytic contains a lot of other columns which would all need to have the same done.
If anyone can shed any light on how this might be done using time series functions then I'd really appreciate it.
Thanks,
John.

No requirements are the same :). The analytic is restricted to a single year (i.e. to show that years actuals), but I need to show also everything which occurred in the previous YEARS since the beginning of time. So take for example I have a project XYZ which is being costed on a year by year basis. My requirement is to show something like:
Year Proj Prev Curr TTL
2013 XYZ £100,000 £1000 £101,000So I've spend £1000 this year, but £100,000 in all previous years. To I know that to date this project has cost me £101,000. Hope that makes a little more sense!

Time series Function

Hello Folks,
i have been trying to understand regarding the time series functions and time series calculations to compare two date columns like current date to month date ago.
i know using AGO and TODATE functions, we can calculate the measures i.e. measures during this period(AGO) and measures till today(TODATE)
apart from this, i heard from an expert that there are other two methods which can be used in compare two date columns
can anyone please help me with this? i was trying to google eveything and couldnt get a clue. as the expert told me that i can not find those two methods in documentation, and have to try by own. i worked on it but couldnt get it
so please help me ASAP.............ASAP....................ASAP
thankyou
kumar

David,
i know, using AGO function, we compare the measures for Month ago, quarter ago etc and using TODATE function, we calculate the measures from year to uptodate or quarter to uptodate.
what exactly i am trying to know or understand is, without using any type of functions like ago and to-date and by just using Logical fact tables and dimensions and dimensional hierarchies, can we model a system to calculate the same values (customer name, current month sales, month ago sales) or (Customer name, current quarter sales, quarter ago sales) etc
please pardon me if i am wrong in framing the question.
thank you
kumr

Time Series Function-Ago

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