Performance Tuninng in OBIEE

Hi Experts,
I need get my hands dirty with perf. tuning. I have completed a few things in my checklist but they are mostly on the Oracle DB side, like Bit Map Indexes, Analyze Stats & Table Partitioning. Is there any documentation available for tuning on BI Server side ? Any white papers maybe ?
Thanks a lot in advance.

Here you go:
http://download.oracle.com/docs/cd/E05554_01/books/PDF/AnyTuning.pdf
http://www.rittmanmead.com/2008/11/28/thoughts-on-obiee-performance-optimization-diagnostics/
Thanks! Award points if helpful/correct.

Similar Messages

How to do Performance tunning in OBIEE RPD level

Hi All,
We are using OBIEE 10.1.3.4 version on Windows envorinment, currently we are facing performance issues for my reports.For fetching one month data its taking around 9 mins ..so we are planning ,how to reduce these response time .Could you pls suggest me what are possiable ways to do performance improvement in OBIEE level..Here for each day we are gettng around 5 lacks feed into our DB.

Hi
first thing is to check the same query int he data base and see the response time. if this is taking the same amount of time as the obiee reporting tool, then that matters to think with dba to create some materiazlied views on the top of the transactional data and maintain the aggreated data.
hope you understand.
Cheers.

How to do Performance tunning in OBIEE

Hi All,
We are using OBIEE 10.3.4 version on windows envorinment .In our OBIEE project we are using 9 reports my requriment is we need to do performance tunning for OBIEE side.For eace report accessing its taking around 80 sec.We need to decrease these accessing time,is there any possibility to access all the reports with less response time in OBIEE side.
Could you anyone suggest how to do performance tunning in OBIEE side.
Thanks,
Vijay.

Vijay,
Plz refer
http://www.business-intelligence-quotient.com/?p=119
http://prolynxuk.com/blog/?p=173
http://businessdecisionsystems.com/blog/?p=486
Here is the section from the BIEE admin guide:
=======================
Usage Examples
This section provides a few examples of how to use Oracle hints in conjunction with the Oracle BI Server. For more information about Oracle hints, refer to the Oracle SQL Reference documentation for the version of the Oracle server that you use.
Index Hint
The Index hint instructs the optimizer to scan a specified index rather than a table. The following hypothetical example explains how you would use the Index hint. You find queries against the ORDER_ITEMS table to be slow. You review the query optimizer's execution plan and find the FAST_INDEX index is not being used. You create an Index hint to force the optimizer to scan the FAST_INDEX index rather than the ORDER_ITEMS table. The syntax for the Index hint is index(table_name, index_name). To add this hint to the repository, navigate to the Administration Tool's Physical Table dialog box and type the following text in the Hint field:
index(ORDER_ITEMS, FAST_INDEX)
Leading Hint
The Leading hint forces the optimizer to build the join order of a query with a specified table. The syntax for the Leading hint is leading(table_name). If you were creating a foreign key join between the Products table and the Sales Fact table and wanted to force the optimizer to begin the join with the Products table, you would navigate to the Administration Tool's Physical Foreign Key dialog box and type the following text in the Hint field:
leading(Products)
So, the table names "order_items" and "products" in the above documentation will not be the same after BIEE puts aliases on them.
============
Hope this is useful..
Edited by: Deepak Gupta on Aug 1, 2011 7:18 AM

Performance Tuning in OBIEE

Hi Friends,
Please share me the techniques we follow to get better performance in OBIEE.

You would have mention that at first.
If you read the given links you may not ask the question again. You need to know the difference between before the calculation and after the calculation.
Anything After the calculation is more cost; we can say any complex or frequent calculations in reports show whole database data in the report etc are come under this.
More over in OBIEE Performance is starts from RPD.
Or else follow the best practices from Oracle ;)
Hope this helps (but nothing)

Performance improvement in OBIEE 11.1.1.5

Hi all,
In OBIEE 11.1.1.5 reports takes long time to load , Kindly provide me some performance improvement guides.
Thanks,
Haree.

Hi Haree,
Steps to improve the performance.
1. implement caching mechanism
2. use aggregates
3. use aggregate navigation
4. limit the number of initialisation blocks
5. turn off logging
6. carry out calculations in database
7. use materialized views if possible
8. use database hints
9. alter the NQSONFIG.ini parameters
Note:calculate all the aggregates in the Repository it self and Create a Fast Refresh for MV(Materialized views).
and you can also do one thing you can schedule an IBOT to run the report every 1 hour or some thing so that the report data will be cached and when the user runs the report the BI Server extracts the data from Cache
This is the latest version for OBIEE11g.
http://blogs.oracle.com/pa/resource/Oracle_OBIEE_Tuning_Guide.pdf
Report level:
1. Enable cache -- change nqsconfig instead of NO change to YES.
2. GO--> Physical layer --> right click table--> properties --> check cacheable.
3. Try to implement Aggregate mechanism.
4.Create Index/Partition in Database level.
There are multiple other ways to fine tune reports from OBIEE side itself:
1) You can check for your measures granularity in reports and have level base measures created in RPD using OBIEE utility.
http://www.rittmanmead.com/2007/10/using-the-obiee-aggregate-persistence-wizard/
This will pick your aggr tables and not detailed tables.
2) You can use Caching Seeding options. Using ibot or Using NQCMD command utility
http://www.artofbi.com/index.php/2010/03/obiee-ibots-obi-caching-strategy-with-seeding-cache/
http://satyaobieesolutions.blogspot.in/2012/07/different-to-manage-cache-in-obiee-one.html
OR
http://hiteshbiblog.blogspot.com/2010/08/obiee-schedule-purge-and-re-build-of.html
Using one of the above 2 methods, you can fine tune your reports and reduce the query time.
Also, on a safer side, just take the physical SQL from log and run it directly on DB to see the time taken and check for the explain plan with the help of a DBA.
Hope this help's
Thanks,
Satya
Edited by: Satya Ranki Reddy on Aug 12, 2012 7:39 PM
Edited by: Satya Ranki Reddy on Aug 12, 2012 8:12 PM
Edited by: Satya Ranki Reddy on Aug 12, 2012 8:20 PM

BI Publisher Performance integrated with OBIEE 11g

Has anyone seen issues around the performance of rendering the BI Publisher frame when it is integrated with an OBIEE dashboard (11g)?
If I create a simple BI Publisher off a simple data model (Select 1 from dual). I open the BIP report within the BI Publisher environment (XmlpServer) and it opens in seconds.
When I open this same report within the OBIEE Web Catalog or place it on a dashboard page I have seen it take upwards of 40-50 seconds to render the frame then the report. The time seems to me more around rendering the frame.
Usually when you initiate your first session you see the longest rendering time, subsequent runs of the report are lower but still higher then the few seconds it takes in the BIP environment.
Has anyone else seen this issue, we opened a ticket with Oracle and it seems they are leaning toward creating a BUG around this. Just wanted to see what others were experiencing and if they identified the source of the issue. Thanks.

Hi Dustin,
The FMW security model in BI Publisher means it is integrated into OBIEE - I believe it's the default. If you're using authenticating and authorising via weblogic then I can't think of a good reason to use BI Server authentication in publisher, you should be using FMW security.
In answer to your question tThere was no bug raised. The work around for us was using document 1338007.1. In your case that doesn't seem necessary since you're using OVD already.
Edit - should just add that if your OVD authentication is set up in the repository then you need to shift that to the weblogic server security model and remove any authentication logic from the repository. After that the FMW security model for publisher should work.
http://download.oracle.com/docs/cd/E21764_01/bi.1111/e10543/privileges.htm
Regards,
Robert
Edited by: Robert Tooker on Nov 3, 2011 2:07 AM

Performance Tuning for OBIEE Reports

Hi Experts,
I had a requirement for which i have to end up building a snowflakt model in Physical layer i.e. One Dimension table with Three snowflake tables(Materialized views).
The key point is the Dimension table is used in most of the OOTB reports.
so all the reports use other three snowflakes tables in the Join conditions due to which the reports take longer time than ever like 10 mints.
can anyone suggest good performance tuning tips to tune the reports.
i created some indices on Materialized view columns and and on dimension table columns.
i created the Materialized views with cache Enabled and refreshes only once in 24 hours etc
is there anything i have to improve performance or have to consider re-designing the Physical layer without snowflake
Please Provide valuable suggestions and comments
Thank You
Kumar

Kumar,
Most of the Performance Tuning should be done at the Back End , So calculate all the aggregates in the Repository it self and Create a Fast Refresh for MV and you can also do one thing you can schedule an IBOT to run the report every 1 hour or some thing so that the report data will be cached and when the user runs the report the BI Server extracts the data from Cache
Hope that helps
~Srix

JCo Connection Performance Tuninng

Hi all,
Here's a performance tuning problem occurs when I do the Stress Test for a JCo Connection.
I call bapi with abap model autogenerated by webdynpro wizard, then I developped a method to do this post job(with same data, suppose each post get the right response) for 1, 10, 20, 50 times.
I found the first time it will cost a real long time(such as 21s) to get return, then performance can be better, an average time cost is about 700 ms.
So I think there must be someplace to cache the post data, if I can modify the size of the cache, maybe I can improve the performance.
Now the question is where is it?
Any idea?

Hallo William,
read the SDN article on <a href="https://www.sdn.sap.comhttp://www.sdn.sap.comhttp://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/com.sap.km.cm.docs/library/webas/webdynpro/how%20to%20configure%20the%20jco%20destination%20settings.pdf">How to configrue the Jco Destination Settings</a>
Regards, Bertram

OBIEE 11g performance problem

Hi,
I am facing a performance problem in OBIEE 11g. When I run the query taking from nqquery.log in database, it is giving me the result within few seconds. But In the OBIEE Answers the query runs forever not showing any data.
Attaching the query below.
Please help to solve.
Thanks
Titas
[2012-10-16T18:07:34.000+00:00] [OracleBIServerComponent] [TRACE:2] [USER-23] [] [ecid: 3a39339b45a46ab4:-70b1919f:13a1f282668:-8000-00000000000769b2] [tid: 44475940] [requestid: 26e1001e] [sessionid: 26e10000] [username: weblogic] -------------------- General Query Info: [[
Repository: Star, Subject Area: BM_BG Pascua Lama, Presentation: BG PL Project Analysis
[2012-10-16T18:07:34.000+00:00] [OracleBIServerComponent] [TRACE:2] [USER-18] [] [ecid: 3a39339b45a46ab4:-70b1919f:13a1f282668:-8000-00000000000769b2] [tid: 44475940] [requestid: 26e1001e] [sessionid: 26e10000] [username: weblogic] -------------------- Sending query to database named XXBG Pascua Lama (id: <<26911>>), connection pool named Connection Pool, logical request hash e3feca59, physical request hash 5ab00db6: [[
WITH
SAWITH0 AS (select sum(T6051.COST_AMT_PROJ_RATE) as c1,
sum(T6051.COST_AMOUNT) as c2,
T6051.AFE_NUMBER as c3,
T6051.BUDGET_OWNER as c4,
T6051.COMMENTS as c5,
T6051.COMMODITY as c6,
T6051.COST_PERIOD as c7,
T6051.COST_SOURCE as c8,
T6051.COST_TYPE as c9,
T6051.DATA_SEL as c10,
T6051.FACILITY as c11,
T6051.HISTORICAL as c12,
T6051.OPERATING_UNIT as c13,
T5633.project_number as c14,
T5637.task_number as c15
from
(SELECT project_id proj_id
,segment1 project_number
,org_id
FROM pa.pa_projects_all
WHERE org_id IN (825, 865, 962, 2161)) T5633,
(SELECT project_id proj_id
,task_id
,task_number
,task_name
FROM pa.pa_tasks) T5637,
(SELECT xxbg_pl_proj_analysis_cost_v.AFE_NUMBER,
xxbg_pl_proj_analysis_cost_v.BUDGET_OWNER,
xxbg_pl_proj_analysis_cost_v.COMMENTS,
xxbg_pl_proj_analysis_cost_v.COMMODITY,
xxbg_pl_proj_analysis_cost_v.COST_PERIOD,
xxbg_pl_proj_analysis_cost_v.COST_SOURCE,
xxbg_pl_proj_analysis_cost_v.COST_TYPE,
xxbg_pl_proj_analysis_cost_v.FACILITY,
xxbg_pl_proj_analysis_cost_v.HISTORICAL,
xxbg_pl_proj_analysis_cost_v.PO_NUMBER_COST_CONTROL,
xxbg_pl_proj_analysis_cost_v.PREVIOUS_PROJECT,
xxbg_pl_proj_analysis_cost_v.PREV_AFE_NUMBER,
xxbg_pl_proj_analysis_cost_v.PREV_COST_CONTROL_ACC_CODE,
xxbg_pl_proj_analysis_cost_v.PREV_COST_TYPE,
xxbg_pl_proj_analysis_cost_v.PROJECT_NUMBER,
xxbg_pl_proj_analysis_cost_v.SUPPLIER_NAME,
xxbg_pl_proj_analysis_cost_v.TASK_DESCRIPTION,
xxbg_pl_proj_analysis_cost_v.TASK_NUMBER,
xxbg_pl_proj_analysis_cost_v.TRANSACTION_NUMBER,
xxbg_pl_proj_analysis_cost_v.WORK_PACKAGE,
xxbg_pl_proj_analysis_cost_v.WP_OWNER,
xxbg_pl_proj_analysis_cost_v.OPERATING_UNIT,
xxbg_pl_proj_analysis_cost_v.DATA_SEL,
pa_periods_all.PERIOD_NAME,
xxbg_pl_proj_analysis_cost_v.ORG_ID,
xxbg_pl_proj_analysis_cost_v.COST_AMT_PROJ_RATE COST_AMT_PROJ_RATE,
xxbg_pl_proj_analysis_cost_v.COST_AMOUNT COST_AMOUNT,
xxbg_pl_proj_analysis_cost_v.project_id,
xxbg_pl_proj_analysis_cost_v.task_id
FROM (select xpac.*,
decode(xpac.historical, 'Y', 'Historical', 'N', 'Current') data_sel
from apps.xxbg_pl_proj_analysis_cost_v xpac
union
select xpac.*, 'All' data_sel
from apps.xxbg_pl_proj_analysis_cost_v xpac) xxbg_pl_proj_analysis_cost_v,
(select period_name, org_id from apps.pa_periods_all) pa_periods_all
WHERE ((xxbg_pl_proj_analysis_cost_v.ORG_ID = pa_periods_all.ORG_ID))
AND (xxbg_pl_proj_analysis_cost_v.ORG_ID IN (825,865,962,2161))
AND (APPS.XXBG_PL_PA_COMMITMENT_PKG.GET_LAST_DAY(xxbg_pl_proj_analysis_cost_v.COST_PERIOD) <=
APPS.XXBG_PL_PA_COMMITMENT_PKG.GET_LAST_DAY(pa_periods_all.PERIOD_NAME))) T6051
where ( T5633.proj_id = T5637.proj_id and T5633.project_number = 'SUDPALAPAS11' and T5637.proj_id = T6051.PROJECT_ID and T5637.task_id = T6051.TASK_ID and T5637.task_number = '2100.2000.01.BC0100' and T6051.DATA_SEL = 'All' and T6051.OPERATING_UNIT = 'Compañía Minera Nevada SpA' and T6051.PERIOD_NAME = 'JUL-12' )
group by T5633.project_number, T5637.task_number, T6051.AFE_NUMBER, T6051.BUDGET_OWNER, T6051.COMMENTS, T6051.COMMODITY, T6051.COST_PERIOD, T6051.COST_SOURCE, T6051.COST_TYPE, T6051.DATA_SEL, T6051.FACILITY, T6051.HISTORICAL, T6051.OPERATING_UNIT)
select D1.c1 as c1, D1.c2 as c2, D1.c3 as c3, D1.c4 as c4, D1.c5 as c5, D1.c6 as c6, D1.c7 as c7, D1.c8 as c8, D1.c9 as c9, D1.c10 as c10, D1.c11 as c11, D1.c12 as c12, D1.c13 as c13, D1.c14 as c14, D1.c15 as c15, D1.c16 as c16 from ( select distinct 0 as c1,
D1.c3 as c2,
D1.c4 as c3,
D1.c5 as c4,
D1.c6 as c5,
D1.c7 as c6,
D1.c8 as c7,
D1.c9 as c8,
D1.c10 as c9,
D1.c11 as c10,
D1.c12 as c11,
D1.c13 as c12,
D1.c14 as c13,
D1.c15 as c14,
D1.c2 as c15,
D1.c1 as c16
from
SAWITH0 D1
order by c13, c14, c2, c3, c4, c5, c6, c7, c8, c9, c10, c11, c12 ) D1 where rownum <= 65001

Hi Titas,
with such problems typically, at least for me, the cause turns out to be something simple and embarrassing like:
- I am connected to another database,
- The database is right but I have made some manual adjustments without committing them,
- I have got the wrong query from the query log,
- I have got the right query but my request is based on multiple queries.
Do other OBIEE reports work fine?
Have you tried removing columns one by one to see whether it makes a difference?
-JR

Performance of OBIEE report whereas SQL query behind it executed in 1-2 min

Facing lot of performance issues in OBIEE reports, whereas SQL query behind the report fetch data in 2-3 minutes. Reprot take around 1-2 hrs. Can anyone help to resolve this please?

(my 2c worth)... if the physical query runs for a reasonably short time but the report takes much longer to return it suggests the rendering process (ie. pivot view) is lagging.
To test this theory, go into Answers and remove all views from the request and leave a simple table view on the compound view. Run the report and the report should return around the same time the physical request takes to run because the table view is a very raw, un aggregated rendering process. Table views are nice and fast. If that works then you can focus on tuning your other views, ie. Pivot view. I've seen a simple pivot view take minutes to render what looks like a simple report because the underlying recordset is quite large.
I hope this helped. another quick trick you could try is applying aggregation in the formulas to aggregate things at the physical sql level so the returning result set isn't 5,000. depends what you're up to with the end report.
Edited by: user8300108 on 25-Feb-2010 04:40

Impact of Query Logging on Performance of Queries in OBIEE

I see from [An Oracle BI Blog post|http://obieeblog.wordpress.com/2009/01/19/obiee-performance-tuning-tip-%e2%80%93-turn-off-query-logging/] that Query Logging has a performance impact in OBIEE.
What is the experience with Query Logging at different levels in a Production environment with, say, 50 or 100 or 500 concurrent users ?
I am completely new to OBIEE, I know the Database. So, please bear with me.
Hemant K Chitale

Kumar's blog that you reference says it all really.
I don't know if anyone's going to be able to give you the kind of information you're looking for, because it's a no-brainer not to enable this level of logging :)
Is there are reason you're even considering it?
Imagine in the database running a low-level trace or debug log for every user session... you just wouldn't do it

OBIEE 11g Application Performance Monitoring

Are there any best practices or recommendations for Application Performance Monitoring for OBIEE 11g?
I see that from Fusion MiddleWare Control, we can navigate to Business Intelligence -> CoreApplication (right click) -> Monitoring -> Performance
And from here we have a huge amount of performance metrics to choose from.
What I'm interested in finding out is:
1). Out of these hundreds of metrics, are there a subset of "core" performance metrics that Oracle recommends monitoring that gives a good baseline for performance of the application?
2) What are the options for capturing/gathering/saving these metrics for historical and trend analysis?

Excellent post. Thanks. Is there some sort of trial of the tool you guys built that's described in the post you linked?
"In addition to the out-of-the-box options above, here at RittmanMead we have developed our own OBIEE monitoring tool.
DMS metrics are stored directly on disk or through a database, enabling both immediate and retrospective analysis. Custom dashboards enable the display of both OBIEE and OS data side-by-side for ease of analysis. Integration with third-party tools is also an option."

Does Row Wise Initialised block effects the performance of OBIEE 10.1.3.2.0

Hi,
I am trying to implement the security in my application using row wise initialisation block. Could any one help me with below mentioned doubts:
1) Does it effect the performance of the OBIEE server.
2) Cons with row wise initialisation block used for implementing security which uses Oracle customise function in it. this initialisation block is been created for implementing 2 level security.
Thanks
Savita

Savita,
Answers to your questions are as follows:
*1) Does it effect the performance of the OBIEE server.*
No. This is part of the Oracle BI Repository modeling process for Oracle BI 10g.
*2) Cons with row wise initialisation block used for implementing security which uses Oracle customise function in it. this initialisation block is been created for implementing 2 level security.*
There really aren't any cons. To get the security you are seeking row-wise security in Oracle BI 10g is the route you must take. In addition, this process is used widely in Oracle BI 10g for numbers of consecutive users and total users/groups in an LDAP or security group table ranging from hundreds to tens of thousands with nothing but success. So, don't worry about implementing this as your implementation will be sound by configuring row-wise security.

Poor Performance of OBIEE url after adding BI Publisher link in a page

Hi Gurus,
I've added a BI Publisher report link in my existing OBIEE dashboard page.
After adding this BIP link,the performance of the obiee url becomes very poor.....and it's taking around 10-15 to open the page.
Earlier it use to open with in 5-10 secs.
Is there any resolution for this.
Any help will be more appreciated.
Thanks,
Pramod.

I have been able to improve processing speed up to
6-8 times with these two techniques:
1. A separate trickle thread was created that would
periodically call DbEnv::memp_trickle. This works
especially good on multicore machines, but also
speeds things up a bit on single CPU boxes. This
alone improved speed from 2K rec/sec to about 4K
rec/sec.Hello Stone,
I am facing a similar problem, and I too hope to resolve the same with memp_trickle. I had these queries.
1. what was the % of clean pages that you specified?
2. What duration were you clling this thread to call memp_trickle?
This would give me a rough idea about which to tune my app. Would really appreciate if you can answer these queries.
Regards,
Nishith.
>
2. Maintaining multiple secondary databases in real
time proved to be the bottleneck. The code was
changed to create secondary databases at the end of
the run (calling Db::associate with the DB_CREATE
flag), right before the reports are generated, which
use these secondary databases. This improved speed
from 4K rec/sec to 14K rec/sec.

Performance issue due to column formula and filters

Hi,
I am facing strange issue with performance for my OBIEE reports. I have two sets of reports Static and Dynamic. Both runs against same tables. The only difference between these reports is that the Static reports would run against all the data for given aggregation level e.g. Year, Month, Date and so on. Where as for Dynamic one I have range prompts to filter data. Other difference is that I have a column formula for one of the column in the Dynamic report, which is nothing but Go URL to show another page with certain parameters.
The static report takes around 14-15 Seconds where as the Dynamic one takes around 3.5 min. The amount of data and range is same here. From the logs I could see that for the Static reports, i.e. reports without filters it applys group by at SQL level where as it is not doing so for the dynamic one. Is this expected ?
Second issue is, even if I say remove the filters and just have report with column formula in one and no formula in other there is significant time difference in the processing at Presentation service layer. Again this is taken from the log. it takes 8 second to get data from DB but shows almost 218 Seconds as response time at Presentation layer.
Below are conceptual details about table and reports -
Table 1 (It is date dimension) : Date_Dim
DateCode Date
Day Number
MonthCode Varchar2
YearCode Varchar2
Table 2 (It is aggregate table at year level) : Year_Aggr
DateCode Date (FK to Table1 above)
Measure1
Measure2
Measure3
Measure4
Measure5
Report 1
Date_Dim.YearCode | Year_Aggr.Measure1 | Year_Aggr.Measure2 | Year_Aggr.Measure3 | Year_Aggr.Measure4
Report 2
Dashboard Filter : Dimension1 | Dimension2 | Year Start | Year End |
Date_Dim.YearCode | Year_Aggr.Measure1 | Year_Aggr.Measure2 | Year_Aggr.Measure3 | Year_Aggr.Measure4
Column formula for Date_Dim.YearCode is something like :
'<a href="saw.dll?Dashboard&PortalPath=somepath and parameters target=_self>' || Date Dim"."YearCode" || '</a">'
Filters :
Dimension1 is prompted...
Dimension2 is prompted...
cast("Date Dim"."YearCode" as Int) is greater than or equal to @{Start_Year}
cast("Date Dim"."YearCode" as Int) is greater than or equal to @{End_Year}
Note : I need to apply cast to int as column is varchar2, legacy problem.+
How can I fix this? Am I missing something? In the result of report2 the DB SQL doesn't show the year in where thought it is displayed in the logical sql.
Let me know if anybody had faced this and have fixed. Or suggetion to make changes to fix this.
Thannks,
Ritesh</a>

Hi Ritesh,
I think you right about the root cause of your problem. The first request does the group by in the database which returns fewer records to the BI Server for processing. The second request does not do the group by and sends significantly more records back to the BI server forcing it to do the group by. Compound that with the fact that pivot table views are relatively expensive computationally and that explains the difference between the execution times.
Assuming that the execution time of the first report is satisfactory, I would recommend you try to experiment with a few settings to see if you can get the second report to do the group by in the database.
Are the two filters identical except for the following conditions?
cast("Date Dim"."YearCode" as Int) is greater than or equal to @{Start_Year}
cast("Date Dim"."YearCode" as Int) is greater than or equal to @{End_Year}
Best regards,
-Joe

Performance Tuninng in OBIEE

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