Cube Query performance

Hi All,
I am working on a data warehousing project. I have 7 dimensions and one fact table. I am planning to create a materialized view with aggregate values based on the dimension keys. In my Mview query I am trying to use parallel option and group by cube clause. I am using 9 keys in the cube clause. When I did explain plan the cost of the query is 8537. But the query takes for ever to run. I let it run for more than 3 hrs still I did not get the output.
Can anyone please tell me if it is advisable to use these many keys in cube. I read in the documentation that cube is more expensive. So, this time I tried to use grouping sets clause with 2 key combinations. The cost was around 50k and I got the result in 5 mins. Then, I changed the grouping sets clause to have 4 keys the cost bumped up to 800k. The query ran for 25 min and failed throwing an error message "Unable to extend temp segment"
DB settings are 128gb memory, 80gb of temp table space. Oracle version is 11g.
Any help/inputs are greatly appreciated.
Thanks
Hari

What I recommend is computing only the combinations you need. For example with 9 entries in the group by clause Oracle has to compute 2^9 or 512 combinations. This obviously can take a significant amount of time. Once you figure out the combinations you need you may be able to achieve the required results with partial cubes, or combinations of grouping sets and rollup statements.
See the following link for a lot of good examples: [SQL for Aggregation in Data Warehouses|http://download.oracle.com/docs/cd/B19306_01/server.102/b14223/aggreg.htm#i1007428]
HTH!

Similar Messages

Essbase ASO Cube query performance from OBI EE

Hi all
I have serious problems of performance when I query an ASO cube from OBI EE. The problem born when I implement a filter in some dimension of model in the Business Model and Mapping layer. This filter is to level-0 of the dimension, the values are obtained from a session variable in OBI EE. The objetive of this is apply filters depending of users. Then, for session variable I've a table in relational dabase base with relation between user and "access", then my dimensions (not all) have as level-0 the "access" of users (as duplicated members).
The session variable in OBI EE is filled with row-wise option, so it has all values of "access" that correspond to user (:USER system variabe).
When I query only by one of this filtered dimensions the respond is very fast, When I query for one of this filtered dimensions and a metric the respond is fast (10 seconds). But when I query for two of this filtered dimensions and metric the respond take 25 minutes. I checked Essbase app log and found this:
+[Mon Nov 15 19:56:01 2010]Local/TestSec5/TestSec5/admin/Info(1013091)+
+Received Command [MdxReport] from user [admin]+
+[Mon Nov 15 20:28:28 2010]Local/TestSec5/TestSec5/admin/Info(1260039)+
MaxL DML Execution Elapsed Time : [1947.18] seconds
When I look the MDX query generated by OBI I see that the aggregation process is doing in the fly in the members filtered of the crossjoin of two dimensions:
With
set [CATALOGO_INSTITUCIONAL2] as '[CATALOGO_INSTITUCIONAL].Generations(2).members'
set [CATALOGO_PRESUPUESTARIO2] as '[CATALOGO_PRESUPUESTARIO].Generations(2).members'
*member [METRICAS_PRESUPUESTARIAS].[MS1] as 'AGGREGATE(filter(crossjoin (Descendants([CATALOGO_INSTITUCIONAL].currentmember,[CATALOGO_INSTITUCIONAL].Generations(7)),Descendants([CATALOGO_PRESUPUESTARIO].currentmember,[CATALOGO_PRESUPUESTARIO].Generations(7))),(([CATALOGO_INSTITUCIONAL].CurrentMember.MEMBER_ALIAS = "01.01" OR [CATALOGO_INSTITUCIONAL].CurrentMember.MEMBER_Name = "01.01")) AND (([CATALOGO_PRESUPUESTARIO].CurrentMember.MEMBER_ALIAS = "G" OR [CATALOGO_PRESUPUESTARIO].CurrentMember.MEMBER_Name = "G") OR ([CATALOGO_PRESUPUESTARIO].CurrentMember.MEMBER_ALIAS = "I0101" OR [CATALOGO_PRESUPUESTARIO].CurrentMember.MEMBER_Name = "I0101") OR ([CATALOGO_PRESUPUESTARIO].CurrentMember.MEMBER_ALIAS = "S01" OR [CATALOGO_PRESUPUESTARIO].CurrentMember.MEMBER_Name = "S01"))),METRICAS_PRESUPUESTARIAS.[Compromiso])', SOLVE_ORDER = 100*
select
{ [METRICAS_PRESUPUESTARIAS].[MS1]
} on columns,
NON EMPTY {crossjoin ({[CATALOGO_INSTITUCIONAL2]},{[CATALOGO_PRESUPUESTARIO2]})} properties ANCESTOR_NAMES, GEN_NUMBER on rows
from [TestSec5.TestSec5]
Can somebody tell me if is possible to change the way in that OBI built the query or if is possible to use aggregations previously materialized of essbase?

hi Amol,
1. On what basis , did you estimate your cube to around 400GB to 600GB.
2. If ASO is an option, its huge advantage lies in space, its does not take more space , unlike BSO.
3. I have seen cubes ,who size was around 300-400GB in BSO,when made the same cube into ASO , its consumed space of 40GB-45GB.
HOpe this helps
Sandeep Reddy Enti
HCC
http://hyperionconsutlancy.com/

Query Performance Issues on a cube sized 64GB.

Hi,
We have a non-time based cube whose size is 64 GB . Effectively, I can't use time dimension for partitioning. The transaction table has ~ 850 million records. We have 20+ dimensions among which 2 of the dimensions have 50 million records.
I have equally distributed the fact table records among 60 partitions. Each partition size is around 900 MB.
The processing of the cube is not an issue as it completes in 3.5 hours. The issue is with the query performance of the cube.
When an MDX query is submitted, unfortunately, in majority of the cases the storage engine has to scan all the partitions (as our cube is not time dependent and we can't find a suitable dimension that will fit the bill to partition measure group based
on it.)
I'm aware of the cache warming and usage based aggregation(UBO) techniques.
However, the cube is available for users to perform adhoc queries and hence the benefits of cache warming and UBO may cease to contribute to the performance gain as there is a high probability that each user may look at the data from different perspectives
(especially when we have 20 + dimensions) as day(s) progress.
Also, we have 15 + average calculations (calculated measures) in the cube. So, the storage engine sends all the granular data that the formula engine might have requested (could be millions of rows) and then perform the average calculation.
A look at the profiler suggested that considerable amount of time has been spent by storage engine to gather the records (from 60 partitions).
FYI - Our server has RAM 32 GB and 8 cores and it is exclusive to Analysis Services.
I would appreciate comments from anyone who has worked on a large cube that is not time dependent and the steps they took to improve the adhoc query performance for the users.
Thanks
CoolP

Hello CoolP,
Here is a good articles regarding how to tuning query performance in SSAS, please see:
Analysis Services Query Performance Top 10 Best Practices:
http://technet.microsoft.com/en-us/library/cc966527.aspx
Hope you can find some helpful clues to tuning your SSAS Server query performance. Moreover, there are two ways to improve the query response time for an increasing number of end-users:
Adding more power to the existing server (scale up)
Distributing the load among several small servers (scale out)
For detail information, please see:
http://technet.microsoft.com/en-us/library/cc966449.aspx
Regards,
Elvis Long
TechNet Community Support

Impact of real time cube on query performance and OLAP cache

Hi:
We have actual and plan cubes both setup as real time cubes (only plan cube is being planned against, not actual cube) and both cubes are compressed once a day.
We are planning on implementing BIA accelerator and have questions related to query performance optimization:
1/ Is there are any query performance benefits in changing the actual cube to be a basic cube (using program SAP_CONVERT_NORMAL_TRANS) if the F table is fully compressed
2/ Can OLAP cache be leveraged for the queries run against the real time cubes e.g. actual cubes
3/ What is the impact on BIA of having the actual cube as real time (whetehr or not there is data being loaded/planned during the day in that cube)
Thank you in advance,
Catherine

1) Is there are any query performance benefits in changing the actual cube to be a basic cube (using program SAP_CONVERT_NORMAL_TRANS) if the F table is fully compressed
From the performance point of view, tha actual cubes i.e std cubes are relatively better.
2) Yes OLAP cache can be leveraged for bringing up the plan query but all the calculations are done in the planning buffer.
3) Not sure.

Building a new Cube Vs Restricted Key figure in Query - Performance issue

Hi,
I have a requirement to create a OPEX restricted key figure in Query. The problem is that the key figure should be restricted to about 30 GL Accounts and almost 300 Cost centers.
I do not know if this might cause performance issue in the query. At the moment, I am thinking of creating a new OPEX cube and load only those 30 GL Accounts, 300 cost centers and Amount. and include OPEX in multiprovider in order to get OPEX
amount in the report.
whats the best solution - creating OPEX restricted key figure or OPEX cube ?
thanks,
Bhat

I think you should go for cube as all the restrcited key figure are calculated at OLAP runtime so it will definitely affect the query performance.There are a lot of costcenter for which you have to restrict it so definitely during the runtime of query it will take a lot of time to fetch tha data from infoprovider.Its better that you create a cube with the restrictions and include it in MP.It will definitely save a lot of time during query execution
Edited by: shyam agarwal on Feb 29, 2012 10:26 AM

Query performance on Inventory Cube

Hi All,
        I have a query on Inventory Cube with non cumulative key figures, when I ran a query with them its taking 60 to 70 minutes. When I ran the same query by removing non cumulatives its displaing results in 25 seconds. Is there any way we can improve query performance which is effected by non cumulative keyfigures.
    I have checked the performance related tools like RSRV on cube and master data no errors, in RSRT> execute debug the more time query consumes in data manager, ST03> DB and data manager time and also unassigned time is more.
    I know that query consumes time because of non cumulative keyfigures as it need to perform calculations on fly but its taking lot more than that. I apprecate your inputs to this query in advance.
I will reward points.
Regards
Satish Reddy

Hi Anil,
    Its nice to see you. We have compressed the cube with marker update and we are using only two infosources to the cube(BF and UM). As there are 150 queries on that cube I don't want to build aggregate especially for that query. I also treid DB stats refresh, there is a process chain to delete and recreate indexes, analysed cube and master data in RSRV etc. it didn't really helped me. Would you please suggest any good solution for this. I apprecaite it in advance.
When i check in Application log in Cube Manage it is displayed that Mass Upsert of Markers update so I assumed that markers are updated.
Regards
Satish Arra.

Query performance on remote/virtual cube

All:
We are on BW 3.5.
Can anyone suggest anything about improving query performance on remote/virtual cubes? Analysis shows query performance is sufferring at the database level.
I am looking for some advise beyond hardware and database parameters. It seems current hardware and database parametrs work fine with basis cubes.
Another solution is datamart.But can anything be done before/without going to datamart?
Any help will be appreciated.
Thanks

Hi,
In this case try to find where more time is utilized by using the ST03.
if there is more time consuming in front end, rearrange the query by using less in the row and using more free chars and filter areas. using the variable also will work.
use reporting agent and schedule the query in background to fill the cache and rerun the query.
Reg,
Vishwa

Query performance on Multiprovider(Remote Cube)

Hi All,
I have to increase the query performance for a report which built on Multi provider.
This multiprovide designed from several remote cubes,but for this report data will bring through one remote cube from R/3.
In filter i had one remote cube, which bring data from R/3.
Now in ST03 the stats are like
%init Time - 0, %DB time - 0, %OLAP time - 16.67, %Front end - 83.33.
Now i have to improve the %Front end lapsed time.
Could you please guide me.
Thanks
Srinivas

Hi Srinivas,
Please see this document
https://websmp105.sap-ag.de/~sapidb/011000358700001394912002
And this Discussion Thread
Re: Deactivate Hierarchy symbols in excel
See whether this is helpful in case of Remote Cubes.
Thanks
CK

Query Performance Issues

Hi Gurus,
I m woking on performance tuning at the moment and wants some tips
regarding the Query performance tuning,if anyone can helpme in that
rfrence.
the thing is that i have got an idea about the system and now the
issues r with DB space, Abap Dumps, problem in free space in table
space, no number range buffering,cubes r using too many aggrigates,
large IC,Large ODS, and many others.
So my questionis that is anyone can tell me that how to resolve the
issues with the Large master data tables,and large ODS,and one more
importnat issue is KPI´s exceding there refrence valuses so any idea
how to deal with them.
waiting for the valuable responces.
thanks In advance
Redards
Amit

Hi Amit
For Query performance issue u can go for :-
Aggregates : They will help u a lot to make ur query faster becuase query doesnt hits ur cube it hits the aggregates which has very less number of records in comp to ur cube
secondly i wud suggest u is use CKF in place of formulaes if any in the query
other thing is avoid upto the extent possible the use fo nav attr . if u want to use them use it upto the minimal level reason i am saying so is during the query exec whn ever there is nav attr it provides unncessary join to ur MD and thus dec query perfo
be specifc to rows and columns if u r not sure of a kf or a char then better put it in a free char.
use filters if possible
if u follow these m sure ur query perfo will inc
Assign points if applicable
Thanks
puneet

Reg: Process Chain, query performance tuning steps

Hi All,
I come across a question like, There is a process chain of 20 processes.out of which 5 processes are completed at the 6th step error occured and it cannot be rectified. I should start the chain again from the 7th step.If i go to a prticular step i can do that particular step, How can i start the entair chain again from step 7.i know that i need to use a function module but i dont know the name of FM. Please somebody help me out.
Please let me know the steps involved in query performance tuning and aggregate tuning.
Thanks & Regards
Omkar.K

Hi,
Process Chain
Method 1 (when it fails in a step/request)
/people/siegfried.szameitat/blog/2006/02/26/restarting-processchains
How is it possible to restart a process chain at a failed step/request?
Sometimes, it doesn't help to just set a request to green status in order to run the process chain from that step on to the end.
You need to set the failed request/step to green in the database as well as you need to raise the event that will force the process chain to run to the end from the next request/step on.
Therefore you need to open the messages of a failed step by right clicking on it and selecting 'display messages'.
In the opened popup click on the tab 'Chain'.
In a parallel session goto transaction se16 for table rspcprocesslog and display the entries with the following selections:
1. copy the variant from the popup to the variante of table rspcprocesslog
2. copy the instance from the popup to the instance of table rspcprocesslog
3. copy the start date from the popup to the batchdate of table rspcprocesslog
Press F8 to display the entries of table rspcprocesslog.
Now open another session and goto transaction se37. Enter RSPC_PROCESS_FINISH as the name of the function module and run the fm in test mode.
Now copy the entries of table rspcprocesslog to the input parameters of the function module like described as follows:
1. rspcprocesslog-log_id -> i_logid
2. rspcprocesslog-type -> i_type
3. rspcprocesslog-variante -> i_variant
4. rspcprocesslog-instance -> i_instance
5. enter 'G' for parameter i_state (sets the status to green).
Now press F8 to run the fm.
Now the actual process will be set to green and the following process in the chain will be started and the chain can run to the end.
Of course you can also set the state of a specific step in the chain to any other possible value like 'R' = ended with errors, 'F' = finished, 'X' = cancelled ....
Check out the value help on field rspcprocesslog-state in transaction se16 for the possible values.
Query performance tuning
General tips
Using aggregates and compression.
Using less and complex cell definitions if possible.
1. Avoid using too many nav. attr
2. Avoid RKF and CKF
3. Many chars in row.
By using T-codes ST03 or ST03N
Go to transaction ST03 > switch to expert mode > from left side menu > and there in system load history and distribution for a particual day > check query execution time.
/people/andreas.vogel/blog/2007/04/08/statistical-records-part-4-how-to-read-st03n-datasets-from-db-in-nw2004
/people/andreas.vogel/blog/2007/03/16/how-to-read-st03n-datasets-from-db
Try table rsddstats to get the statistics
Using cache memoery will decrease the loading time of the report.
Run reporting agent at night and sending results to email.This will ensure use of OLAP cache. So later report execution will retrieve the result faster from the OLAP cache.
Also try
1. Use different parameters in ST03 to see the two important parameters aggregation ratio and records transferred to F/E to DB selected.
2. Use the program SAP_INFOCUBE_DESIGNS (Performance of BW infocubes) to see the aggregation ratio for the cube. If the cube does not appear in the list of this report, try to run RSRV checks on the cube and aggregates.
Go to SE38 > Run the program SAP_INFOCUBE_DESIGNS
It will shown dimension Vs Fact tables Size in percent.If you mean speed of queries on a cube as performance metric of cube,measure query runtime.
3. --- sign is the valuation of the aggregate. You can say -3 is the valuation of the aggregate design and usage. ++ means that its compression is good and access is also more (in effect, performance is good). If you check its compression ratio, it must be good. -- means the compression ratio is not so good and access is also not so good (performance is not so good).The more is the positives...more is useful the aggregate and more it satisfies the number of queries. The greater the number of minus signs, the worse the evaluation of the aggregate. The larger the number of plus signs, the better the evaluation of the aggregate.
if "-----" then it means it just an overhead. Aggregate can potentially be deleted and "+++++" means Aggregate is potentially very useful.
Refer.
http://help.sap.com/saphelp_nw70/helpdata/en/b8/23813b310c4a0ee10000000a114084/content.htm
http://help.sap.com/saphelp_nw70/helpdata/en/60/f0fb411e255f24e10000000a1550b0/frameset.htm
4. Run your query in RSRT and run the query in the debug mode. Select "Display Aggregates Found" and "Do not use cache" in the debug mode. This will tell you if it hit any aggregates while running. If it does not show any aggregates, you might want to redesign your aggregates for the query.
Also your query performance can depend upon criteria and since you have given selection only on one infoprovider...just check if you are selecting huge amount of data in the report
Check for the query read mode in RSRT.(whether its A,X or H)..advisable read mode is X.
5. In BI 7 statistics need to be activated for ST03 and BI admin cockpit to work.
By implementing BW Statistics Business Content - you need to install, feed data and through ready made reports which for analysis.
http://help.sap.com/saphelp_nw70/helpdata/en/26/4bc0417951d117e10000000a155106/frameset.htm
/people/vikash.agrawal/blog/2006/04/17/query-performance-150-is-aggregates-the-way-out-for-me
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/1955ba90-0201-0010-d3aa-8b2a4ef6bbb2
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/ce7fb368-0601-0010-64ba-fadc985a1f94
http://help.sap.com/saphelp_nw04/helpdata/en/c1/0dbf65e04311d286d6006008b32e84/frameset.htm
You can go to T-Code DB20 which gives you all the performance related information like
Partitions
Databases
Schemas
Buffer Pools
Tablespaces etc
use tool RSDDK_CHECK_AGGREGATE in se38 to check for the corrupt aggregates
If aggregates contain incorrect data, you must regenerate them.
Note 646402 - Programs for checking aggregates (as of BW 3.0B SP15)
Thanks,
JituK

Query performance and Transport

Guys, (Those of you that already work in the field maybe able to better answer this question.)
Let's say if an end-user comes and complaints about a certain query performance. The developer ends up creating aggregates on the cube. Would he be doing all this process on dev box then transport to QA and on to Production environment or directly on production environment and won't need to transport anything? Any kind of documentation will be helpful for this.
Thanks,
RG

Aggregates are created directly in production.
We create aggregate based on query statistics...which is based on data read by query and various times.
Since this is based of data in prod we develop directly in prod...i mean dev wont have any data so you dont have any basis to create aggregate. even if you use statistics data from prod to create aggregate in dev...you cannot again check performance improvement coz of aggregate in dev as it wont have data as prod has

Bad Query Performance

Hi Experts,
I have a Query which was built on a multiprovider,Which has a slow preformance.
I think the main problem comes from selecting to many records from
I think it selects 1,1 million rows to display about 500 rows in the result.
Another point could be that the complicated restricted and calculated keyfigures, especially might spend a lot of time in the OLAP processor.
Here are the Statistics of the Query.
OLAP Initialization      : 3,186906
Wait Time, User         :   56,971169
OLAP: Settings               0,983193
Read Cache                     0,015642
Delete Cache                   0,019030
Write Cache                    0,087655
Data Manager                   462,039167
OLAP: Data Selection      0,671566
OLAP: Data Transfer       1,257884.
ST03 Stat:
%OLAP       :22,74
%DB           :77,18
OLAP Time :29,2
DBTime        :99,1
It seems that the maximum time is consuming in the Database
Any suggestion to speed up this Query response time would be great.
Thanks in advance.
BR
Srini.

Hi,
You need to have standard Query performance tuning done for the underlying cubes like better design, aggregates, etc
Improve Performance of Queries/Reports on Multi Cubes
Refer SAP Note Number: 869487
Performance optimization for MultiCubes
How to Create Efficient Multi-Provider Queries
Please see the How to Guide "How to Create Efficient MultiProvider Queries" at http://service.sap.com/bi > SAP NetWeaver 2004 - Release-Specific Information > How-to Guides > Business Intelligence
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/com.sap.km.cm.docs/library/biw/how%20to%20create%20efficient%20multiprovider%20queries.pdf
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/3f66ba90-0201-0010-ac8d-b61d8fd9abe9
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/afbad390-0201-0010-daa4-9ef0168d41b6
Performance of MultiProviders
Multiprovider performance / aggregate question
Query Performance
Multicube performances
Create Efficient MultiProvider Queries
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/b03b7f4c-c270-2910-a8b8-91e0f6d77096
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/751be690-0201-0010-5e80-f4f92fb4e4ab
Also try
Achieving BI Query Performance Building Business Intelligence
http://www.dmreview.com/issues/20051001/1038109-1.html
tuning, short dumps
Performance tuning in BW:
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/afbad390-0201-0010-daa4-9ef0168d41b6
Also notes
0000903559 MultiProvider optimization is only partially active
0000825396 Performance in reports with many selections
multiprovider explanation i need
Note 629541 - Multiprovider: Parallel Processing
Thanks,
JituK

Bad query performance - how to analyze it?

Hi all,
since 8 weeks we locate a bad query performance (round about 30% worse than before) in our BW system. At the moment we use a BIA on revision 49 with 4 blades (16GB).
I have already read note 1318214 and analyzed that the most time is spend on the virtual provider(over 80%!).
I´ve seen that a lot of time is spend on the "Datamanager":
For example: It takes 0,76s to select 3.5million items in the relative provider and 78s!!! to select 0 items in the virtual provider.
information from RSDDSTATTREXSERV:
RFC Server BIA client BIA Kernel ABAP RFC
497 464 450 619
So it seems to be a problem an the BW site, what can we do to improve the performance or analyse the query performance better.
Best Regards,
Jens

Hi Jens,
A few checks you may consider doing.
BIA Availability : Check the BI connection with BIA.
Check if you need to rebuild BIA indices again. SAP recommends to do this often, to repair the degenerate indices or delete the indice which are not referenced any more.(eg data in the cube was compressed/deleted and the indices are no more needed.)
Check the if BIA reorganization is required - This is done to see the indices are evenly distribueded areoss the BIA Landscape.
Try to find from BI Admin if major administration work was done within these 8 weeks.eg: Copy cube, dimension restructureing, copying data to some copy cube, archiving etc.
You can use the BIA monitor to peform checks/monitor alerts from BIA servers
[ BIA monitor|http://help.sap.com/saphelp_nw70/helpdata/en/43/7719d270d81a6ee10000000a11466f/content.htm]
This link would tell you on the overall status of the BIA and any actions if required.
Also it has sublinks to other important transaction of BIA monitoring and maintainnance.
To go to BIA monitor : RSA!---> BIA monitor icon.
Is your virtual provider reading data from R/3 or BW.
Generally virtual providers are used to read data from other systems , so it woulfd not have an indices in BIA, I believe if this is the case. except for some applications like BCS wher eyou may be reading data from BW itself.
Hope this helps
Bext regards,
Sunmit.

How to improve query performance using infoset

I create one infoset that including 4 char.and 3 DSO which all are time-dependent.When query run, system show very poor perfomance, sometimes no data show in BEX anayzer. In this case I have to close BEX analyzer at first and then open it again, after that it show real results. It seems very strange. Does anybody has experience on infoset performance improvement. pls info, thanks!

Hi
As info set itself doesn't have any data so it improves Performance
also go through the below tips.
Find the query Run-time
where to find the query Run-time ?
557870 'FAQ BW Query Performance'
130696 - Performance trace in BW
This info may be helpful.
General tips
Using aggregates and compression.
Using less and complex cell definitions if possible.
1. Avoid using too many nav. attr
2. Avoid RKF and CKF
3. Many chars in row.
By using T-codes ST03 or ST03N
Go to transaction ST03 > switch to expert mode > from left side menu > and there in system load history and distribution for a particular day > check query execution time.
Statistical Records Part 4: How to read ST03N datasets from DB in NW2004
How to read ST03N datasets from DB
Try table rsddstats to get the statistics
Using cache memory will decrease the loading time of the report.
Run reporting agent at night and sending results to email. This will ensure use of OLAP cache. So later report execution will retrieve the result faster from the OLAP cache.
Also try
1. Use different parameters in ST03 to see the two important parameters aggregation ratio and records transferred to F/E to DB selected.
2. Use the program SAP_INFOCUBE_DESIGNS (Performance of BW infocubes) to see the aggregation ratio for the cube. If the cube does not appear in the list of this report, try to run RSRV checks on the cube and aggregates.
Go to SE38 > Run the program SAP_INFOCUBE_DESIGNS
It will shown dimension Vs Fact tables Size in percent.If you mean speed of queries on a cube as performance metric of cube,measure query runtime.
3. To check the performance of the aggregates,see the columns valuation and usage in aggregates.
Open the Aggregates...and observe VALUATION and USAGE columns.
"---" sign is the valuation of the aggregate. You can say -3 is the valuation of the aggregate design and usage. ++ means that its compression is good and access is also more (in effect, performance is good). If you check its compression ratio, it must be good. -- means the compression ratio is not so good and access is also not so good (performance is not so good).The more is the positives...more is useful the aggregate and more it satisfies the number of queries. The greater the number of minus signs, the worse the evaluation of the aggregate. The larger the number of plus signs, the better the evaluation of the aggregate.
if "-----" then it means it just an overhead. Aggregate can potentially be deleted and "+++++" means Aggregate is potentially very useful.
In valuation column,if there are more positive sign it means that the aggregate performance is good and it is useful to have this aggregate.But if it has more negative sign it means we need not better use that aggregate.
In usage column,we will come to know how far the aggregate has been used in query.
Thus we can check the performance of the aggregate.
Refer.
http://help.sap.com/saphelp_nw70/helpdata/en/b8/23813b310c4a0ee10000000a114084/content.htm
http://help.sap.com/saphelp_nw70/helpdata/en/60/f0fb411e255f24e10000000a1550b0/frameset.htm
performance ISSUE related to AGGREGATE
Note 356732 - Performance Tuning for Queries with Aggregates
Note 166433 - Options for finding aggregates (find optimal aggregates for an InfoCube)
4. Run your query in RSRT and run the query in the debug mode. Select "Display Aggregates Found" and "Do not use cache" in the debug mode. This will tell you if it hit any aggregates while running. If it does not show any aggregates, you might want to redesign your aggregates for the query.
Also your query performance can depend upon criteria and since you have given selection only on one infoprovider...just check if you are selecting huge amount of data in the report
Check for the query read mode in RSRT.(whether its A,X or H)..advisable read mode is X.
5. In BI 7 statistics need to be activated for ST03 and BI admin cockpit to work.
By implementing BW Statistics Business Content - you need to install, feed data and through ready made reports which for analysis.
http://help.sap.com/saphelp_nw70/helpdata/en/26/4bc0417951d117e10000000a155106/frameset.htm
/people/vikash.agrawal/blog/2006/04/17/query-performance-150-is-aggregates-the-way-out-for-me
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/1955ba90-0201-0010-d3aa-8b2a4ef6bbb2
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/ce7fb368-0601-0010-64ba-fadc985a1f94
http://help.sap.com/saphelp_nw04/helpdata/en/c1/0dbf65e04311d286d6006008b32e84/frameset.htm
You can go to T-Code DB20 which gives you all the performance related information like
Partitions
Databases
Schemas
Buffer Pools
Tablespaces etc
use tool RSDDK_CHECK_AGGREGATE in se38 to check for the corrupt aggregates
If aggregates contain incorrect data, you must regenerate them.
202469 - Using aggregate check tool
Note 646402 - Programs for checking aggregates (as of BW 3.0B SP15)
You can find out whether an aggregate is usefull or useless you can find out through a proccess of checking the tables RSDDSTATAGGRDEF*
Run the query in RSRT with statistics execute and come back you will get STATUID... copy this and check in the table...
This gives you exactly which infoobjects it's hitting, if any one of the object is missing it's useless aggregate.
6
Check SE11 > table RSDDAGGRDIR . You can find the last callup in the table.
Generate Report in RSRT
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/cccad390-0201-0010-5093-fd9ec8157802
https://www.sdn.sap.com/irj/sdn/go/portal/prtroot/docs/library/uuid/4c0ab590-0201-0010-bd9a-8332d8b4f09c
Business Intelligence Journal Improving Query Performance in Data Warehouses
http://www.tdwi.org/Publications/BIJournal/display.aspx?ID=7891
Achieving BI Query Performance Building Business Intelligence
http://www.dmreview.com/issues/20051001/1038109-1.html
Assign points if useful
Cheers
SM

Inventory Ageing query performance

Hi All,
I have created inventory ageing query on our custom cube which is replica of 0IC_C03. We have data from 2003 onwards. the performance of the query is very poor the system almost hangs. I tried to create aggregates to improve performance but its failed. What i should do to improve the performance and why the aggregate filling is failed. Cube have compressed data. Pls guide.
Regards:
Jitendra

Inaddition to the above posts
Check the below points ... and take action accordingly to increase the query performance.
mainly check --Is the Cube data Compressed. it will increase the performance of the query..
1)If exclusions exist, make sure they exist in the global filter area. Try to remove exclusions by subtracting out inclusions.
2)Check code for all exit variables used in a report.
3)Check the read mode for the query. recommended is H.
4)If Alternative UOM solution is used, turn off query cache.
5)Use Constant Selection instead of SUMCT and SUMGT within formulas.
6)Check aggregation and exception aggregation on calculated key figures. Before aggregation is generally slower and should not be used unless explicitly needed.
7)Check if large hierarchies are used and the entry hierarchy level is as deep as possible. This limits the levels of the hierarchy that must be processed.
Use SE16 on the inclusion tables and use the List of Value feature on the column successor and predecessor to see which entry level of the hierarchy is used.
8)Within the free characteristics, filter on the least granular objects first and make sure those come first in the order.
9)If hierarchies are used, minimize the number of nodes to include in the query results. Including all nodes in the query results (even the ones that are not needed or blank) slows down the query processing.
10)Check the user exits usage involved in OLAP run time?
11)Use Constant Selection instead of SUMCT and SUMGT within formulas.
12)
Turn on the BW Statistics: RSA1, choose Tools -> BW statistics for InfoCubes(Choose OLAP and WHM for your relevant Cubes)
To check the Query Performance problem
Use ST03N -> BW System load values to recognize the problem. Use the number given in table 'Reporting - InfoCubes:Share of total time (s)' to check if one of the columns %OLAP, %DB, %Frontend shows a high number in all InfoCubes.
You need to run ST03N in expert mode to get these values
based on the analysis and the values taken from the above - Check if an aggregate is suitable or setting OLAP etc.
Edited by: prashanthk on Nov 26, 2010 9:17 AM

Cube Query performance

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