Time Series Function not doing it right

Hello guys
I have setting up the time dimensional hierarchy with Year -- QTR---Month--- Days order..
I have a measure call 'Forward Amt' which needs to applied with Month-to-date calculation. Therefore I am using time series functions.
I have copied the same measure and renamed it as 'MTD Forward Amt' and defined the todate function according to the syntax:
TODATE("Forward Details"."Forward fact"."Forward Amt", "Forward Details"."DatesDim"." Dates Month")
I set everything according to the standard steps
In the presentation however when I am running reports using dates = 03/10/2010, I am getting:
Month                 Forward Amt              MTD Forward AMT
3                          3000000                       The $3000000 is actually correct value for the date 03/10/2010, but the MTD Forward AMT is empty..
For further investigations, I decided to take out the date column and date filter, then I got:
Month                 Forward Amt              MTD Forward AMT
1                          500000000
2                          10000000
3                          349000000
4                                                         500000000
5                                                         10000000
6                                                         349000000I don't think this is correct result of the todate function at month level..
Could anybody suggestion any approach for me to investigate this behavior?
Thanks

I’ve got Live Trace so I can’t vouch for Image Trace, but if what Monika says is right (and it usually is) you can select the areas with black fill and lock them. Then delete the stuff that isn’t coloured.
I believe that Image Trace has the possibility of producing stacks rather than compounds (like Streamline in the old days).
You should definitely go for stacks. They make editing much easier.

Similar Messages

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
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

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,
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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.
Thanks.

Time series functions are - by design and purpose - only valid for derived logical columns and not useable inside physical mappings.
If you want / need to do it on a physical level, then abandon the time series functions and do it the old-school way with multiple LTS instances.

Scatter plot using time series function - Flash charting

Apex 3 + XE + XP
I am trying to build a time series scatter plot chart using flash chart component.
Situation :
On each scout date counts are taken within each crop. I want to order them by scout dates and display them in a time series chart. Each series represents different crop.
I am posting the two series queries I used
Queries:
Series 1
select     null LINK, "SCOUTDATES"."SCOUTDATE" LABEL, INSECTDISEASESCOUT.AVERAGECOUNT as "AVERAGE COUNT" from     "COUNTY" "COUNTY",
     "FIELD" "FIELD",
     "VARIETYLIST" "VARIETYLIST",
     "INSECTDISEASESCOUT" "INSECTDISEASESCOUT",
     "SCOUTDATES" "SCOUTDATES",
     "CROP" "CROP"
where "SCOUTDATES"."CROPID"="CROP"."CROPID"
and     "SCOUTDATES"."SCOUTID"="INSECTDISEASESCOUT"."SCOUTID"
and     "CROP"."VARIETYID"="VARIETYLIST"."VARIETYLISTID"
and     "CROP"."FIELDID"="FIELD"."FIELDID"
and     "FIELD"."COUNTYID"="COUNTY"."COUNTYID"
and      "INSECTDISEASESCOUT"."PESTNAME" ='APHIDS'
and     "VARIETYLIST"."VARIETYNAME" ='SUGARSNAX'
and     "COUNTY"."COUNTNAME" ='Kings' AND CROP.CROPID=1
order by SCOUTDATES.SCOUTDATE' ASC
Series 2:
select     null LINK, "SCOUTDATES"."SCOUTDATE" LABEL, INSECTDISEASESCOUT.AVERAGECOUNT as "AVERAGE COUNT" from     "COUNTY" "COUNTY",
     "FIELD" "FIELD",
     "VARIETYLIST" "VARIETYLIST",
     "INSECTDISEASESCOUT" "INSECTDISEASESCOUT",
     "SCOUTDATES" "SCOUTDATES",
     "CROP" "CROP"
where "SCOUTDATES"."CROPID"="CROP"."CROPID"
and     "SCOUTDATES"."SCOUTID"="INSECTDISEASESCOUT"."SCOUTID"
and     "CROP"."VARIETYID"="VARIETYLIST"."VARIETYLISTID"
and     "CROP"."FIELDID"="FIELD"."FIELDID"
and     "FIELD"."COUNTYID"="COUNTY"."COUNTYID"
and      "INSECTDISEASESCOUT"."PESTNAME" ='APHIDS'
and     "VARIETYLIST"."VARIETYNAME" ='SUGARSNAX'
and     "COUNTY"."COUNTNAME" ='Kings' AND CROP.CROPID=4
order by SCOUTDATES.SCOUTDATE' ASC
Problem
As you can see the observations are ordered by scout date. However when the chart appears, the dates dont appear in order. The chart displays the data from crop 1 and then followed by crop 4 data, which is not exactly a time series chart. Does flash chart support time series or they have no clue that the data type is date and it should be progressive in charting ? I tried to use to_char(date,'j') to converting them and apply the same principle however it did not help either.
Any suggestions ?
Message was edited by:
tarumugam
Message was edited by:
aru

Arumugam,
All labels are treated as strings, so APEX will not compare them as dates.
There are two workarounds to get all your data in the right order:
1) Combine the SQL statements into single-query multi-series format, something like this:
select null LINK,
"SCOUTDATES"."SCOUTDATE" LABEL,
decode(CROP.CROPID,1,INSECTDISEASESCOUT.AVERAGECOUNT) as "Crop 1",
decode(CROP.CROPID,4,INSECTDISEASESCOUT.AVERAGECOUNT) as "Crop 4"
from "COUNTY" "COUNTY",
"FIELD" "FIELD",
"VARIETYLIST" "VARIETYLIST",
"INSECTDISEASESCOUT" "INSECTDISEASESCOUT",
"SCOUTDATES" "SCOUTDATES",
"CROP" "CROP"
where "SCOUTDATES"."CROPID"="CROP"."CROPID"
and "SCOUTDATES"."SCOUTID"="INSECTDISEASESCOUT"."SCOUTID"
and "CROP"."VARIETYID"="VARIETYLIST"."VARIETYLISTID"
and "CROP"."FIELDID"="FIELD"."FIELDID"
and "FIELD"."COUNTYID"="COUNTY"."COUNTYID"
and "INSECTDISEASESCOUT"."PESTNAME" ='APHIDS'
and "VARIETYLIST"."VARIETYNAME" ='SUGARSNAX'
and "COUNTY"."COUNTNAME" ='Kings'
AND CROP.CROPID in (1,4)
order by SCOUTDATES.SCOUTDATE ASC2) Union the full domain of labels into your first query. Then the sorting will be applied to the full list, and the values of the second series will be associated with the matching labels from the first.
- Marco

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

TODATE time series function in OBIEE 11g

Hi,
I have a problem with time series function. I have month level in time dimension hierarchy.
I have used below expression to get month to date results in my reports.
column
expression----> TODATE(fact.measure, hierarchy.Month level);
when i am using this column in my reports it is showing null values. The below error i am getting in view log files
----------------> Converted to null because it's grain is below query's grain
Note: Here i have measures, year,qtr,month,day,shift,hour in single physical table in physical layer.
Is it a problem to have measures and time columns in a single physical table?
Please let me know if you have any solution.
Thanks,
Avinash

Yes, it shud be a prob. Try using seperate tables for fact n timedim

Use of time series functions with horizontally fragmented fact tables

Hi Guys,
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.
Has this been fixed? Has somebody used this new functionality? What the the limitations?
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?
Thanks,

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:
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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

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).
OBIEE issues time-series queries, in the form of AGO and TODATE. AGO gives you, for example, the value of sales one month ago or one quarter ago, whilst TODATE gives you the total of sales month-to-date, or quarter-to-date, or year-to-date. Both of these time-series functions rely on the existence of a time dimension in your business model and mapping layer, with the period you can refer to in the AGO and TODATE functions being determined by what levels you have in this time dimension.
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).
Thanks & Regards
Ishaq

How to use time series functions for this requirement

we are on OBIEE 11g (11.1.1.5)
Any pointers and links are really helpful.
I have a requirement where YTD sales are displayed in a column. We wan to compare that number to what that number was last year at the same time. Tried to use TODATE, AGO and it did not work.
|| used for column seperation below.
ProductGroup || YTD Sales Rev||YTD Sales Rev 1 Year Ago||YTD Sales Rev 2 Years Ago
Climate Solutions || 1.7 mil (1/1/2011 - 7/1/2011) || 1.45 mil (1/1/2010 - 7/1/2010) || 1.15 mil (1/1/2009 - 7/1/2009)
Thanks in advance
kris
Edited by: user566193 on Aug 10, 2011 6:06 PM

Kris,
Basically you want to combine the 2 time series functions here i.e. TODATE & AGO.
Here you go..
You can create first a YTD logical column in BMM say YTD Sales Rev..Then create another logical column with calculation as AGO(YTD Sales Rev, YEARDIM, 1) or AGO(YTD Sales Rev, MONTHDIM, 12).
Similarly, you create other measures...OBIEE 11g has time series function in Answers as well but I'd say try to create using RPD as you to calculate 1 logical column based on another. Better to push it on RPD side.
Hope this helps

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.

Combining Time series functions, is it possible?

Hello
I have a requirement where I have to create time series measures. The Todate function and the ago function is pretty straightforward, however, it is required to also have last year Month to date, last year quarter to date measure, is it possible?
For example, for quantity sold measure, I have created MTD, YTD Quantity Sold and Year Ago Quantity Sold. Now when running report on for July 2010, we will get the total Quantity return between Jan to July of 2010, and based on that, it is required to also view the total Quantity Sold of the same period (Jan 2009 to July 2009)of 2009. Is it possible for this?
Another challenge i am dealing with is that if the current date is not the end of the month, let's say Oct 10th 2010. Since it has only been 1 week of Oct, they want to also get 2009's first week of Oct instead of the entire Oct of 2009. In this case, how is it implemented?
Any advice will be greatly appreciated
Thanks

it is required to also have last year Month to date, last year quarter to date measure, is it possible?Yes, possible with time series functions..
for calculating prior ytd,
ToDate(Ago(measure, YearLevel, 1), YearLevel) last year Month to date:
try this(din't test, but give a try)
ToDate(Ago(measure, YearLevel, 1), MonthLevel)last year quarter to date:
ToDate(Ago(measure, YearLevel, 1), QuarterLevel)btw, need to close your threads if answered...
Edited by: Kishore Guggilla on Oct 26, 2010 11:31 PM

Time Series function: csum

Hi all,
I am trying to use the time series function "CSUM" to create a running total column. The DBA loaded the package, however, he I did not know the correct syntax. Any thoughts.
Thanks in advance.
Peter Sidi
[email protected]
Wrote file afiedt.buf
1 SELECT *
2 FROM daily6 ts,
3 TABLE (CAst(ORDSYS.TimeSeries.ExtractTable(
4 ORDSYS.TimeSeries.Csum(ts.da_dsch_total,to_date('01-JAN-02','DD-MON-YY'),
5 to_date('30-NOV-02','DD-MON-YY'))
6 ) AS ORDSYS.ORDTNumTab)) t
7* WHERE ts.da_service_1='MED'
SQL> /
ORDSYS.TimeSeries.Csum(ts.da_dsch_total,to_date('01-JAN-02','DD-MON-YY'),
ERROR at line 4:
ORA-06553: PLS-306: wrong number or types of arguments in call to 'CSUM'
SQL> desc daily6;
Name Null? Type
DA_DSCH_TTL_01 NUMBER
DA_PTNT_DY_01 NUMBER
MNTH VARCHAR2(2)
YR VARCHAR2(2)
DA_SERVICE_1 VARCHAR2(3)
DA_DSCH_DT_02 VARCHAR2(4)
DA_DSCH_DATE DATE
DA_DSCH_TOTAL NUMBER
DA_PATIENT_DAYS NUMBER
DA_BUDGET_DC NUMBER
DA_BUDGET_PD NUMBER

Since you only asked how to get rid of the 2011 line, here are two ways:
1) Filter on Time.Year column <> 2011
or better
2) Filter on Time.Year column <> YEAR(CURRENT_DATE)+1

Time Series Function not doing it right

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