Query performance on multi-provider
Hi,
I have a query on a multi provider...its taking a long time to run.
It should run within one minute.
How do I find out where the problem is...pls provide the steps I can take to find out the exact problem.
Thanks,
Frank
Frank,
You can read here to see what the various DBMAN messages mean:
http://help.sap.com/saphelp_nw04/helpdata/en/0f/17b63d799f6b3be10000000a114084/content.htm
http://help.sap.com/saphelp_nw04/helpdata/en/de/bcb73d73a5f972e10000000a114084/content.htm
Hope this helps...
Similar Messages
-
Which type of setting we need to maintain in query to get Multi Provider data
HI Friends.
I created query on top of Multi Provider. Multi Provider created on top of Hybrid provider and Standard cube.
When i executed the Query on top Multi Provider, i can't see the data of Hybrid Provider through Query.
In BW side i can see the data on Multi provider.
Can any one help me.Hi,
First need to understand what is the use of Hybrid Provider in what cases we prefer provider.
Multiprovider :can be created based on DSO & Infocube
Hybrid Provider : Can Be created based on DSO / HybridProviders based on direct access.
For more Info on Hybrid Provider : Creating HybridProviders - Modeling - SAP Library
There are no settings to get Hybrid provider data Or Multiprovider data in Bex .
Even though if we need to do any settings we can do it in SPRO , check once in SPRO tcode related to Bex reporting settings.
Regards,
Seshu.P -
I am trying to create a multi provider from 3 ods?
hi all,
I am creating an multi provider from 3 ods. how do i got about in creating dimensions using ods. Can anyone let me know how to create dimensions using ods.
regds
harithaDear Haritha,
You can create dimensions.But you will not be using these dimensions while running query. As you know multi provider doesn't hold any data.
When you create multiprovder using info cubes.While running query based on multi provider in turn it will use info cube's dimension...
As there will be not be any dimensions in ODS.
So while creating Multi provider based on ODS only, you need to create "ZXXXX" dimensions.. just for the sake of creating the dimension ...because if you dont create dimensions in will not allow you to create MP.
Regards,
Viren. -
I am trying to create a multi provider ? how to optimize my query performan
hi,
I am trying to creating a multi provider using four ods ? can anyone let me know how to optimize my query performance. Since my query takes a lot of time to get executed.
If anyone has any docs for query optimization that is built based on multi provider pls do send it to my email id [email protected]
regds
harithahi wond,
Thanxs a lot for the quick response. Can you let me know how to create secondary indexes on ods and about partioning to be carried out.
if u have any docs or url can you pls share. my email id [email protected]
regds
haritha -
Universe unable to access query on top of Multi-provider.
Hi All,
I have a multi-provider made of my custom cubes ,I have build a query on top of this multi-provider and while designing I have taken to put Tick 'ALLOW EXTERNAL ACCESS TO THIS QUERY' but when i design universe give my login details i am not able to see that query ,folder for that multi-provider gets created but that query is not getting displayed...
I created a new query and did necessary things but i cant see that query built on top of this multiprovider.
If i make a normal query on top of cube or dso i am able to see that query.
I have other multiprovider if i create query on that i can see that query in universe.
I am surprised why this is happening ?
I am using Business object XI 3.1, so i dnt think this is software issue
Any one faced such kind of issue please reply.Thanks for the earliest reply.
I can see the multiprovider in $infocube list.
But query i am not able to...
I have calculated key figures in my query but if that is the issue then i also made a simple query which just had standard key figures, then too i am not able to see that query.....
In my other mullti provider I have calculated key figurre and i am able to see that query...
I don't know what is the issue....anything else you can suggest.. -
Input Ready Query is not enabling on Multi Provider...
Dear Folks,
I have created one Multi Provider which is having 3 info cubes, out of three info cubes. 2 Planning Cubes & 1 Normal Cube.
I have created one Aggregation Level on top of Multi Provider and created input ready query which is not enabling as a input for key figures.
Do you have any idea on this.
Thanks,
VenkatHi,
Please refer to the following link for more details on the same,
http://help.sap.com/saphelp_nw70ehp1/helpdata/en/43/1d023a41130bd5e10000000a422035/content.htm
Check the following points to make your query as input enables,
1. Drill down or filter all the characteristics present in the query.
2. Check whether the "Open query in Change mode" is checked in Query properties.
3. Check whether your real time infocube is in "Plan mode"
4. Make sure that your planning cube is not locked by any other person when you are trying to open your query.
Regards,
Balajee
Edited by: Balajee Sivakumar on Jan 31, 2011 5:00 PM -
Input ready query on multi provider
Hi all,
i have a requirement to create multi provider on actual and planned cubes.
what is the prerequisite for this? (my actal cube contains some data and planned cube
does'nt have any data).
and what is the flow when we execute the query and save some data?
and when the report executes the data will come from actual cube or from planned cube?
please provide ur inputs for this.
Thanks in Advance,
Reshma.Hi,
When a report executes on a multiprovider it will fetch data from the all underlying Infoproviders.
Here your Planned cube doesn't contain any data, so the report displays data from the Actual cube.
To enable the input enable query, we have to use the Aggregation level as infoprovider in the multiprovider,
When you save the data it will update the Plan cube .
REDDY -
Multi provider issue and not able perform BEx. Report
Hi,
I have one issue on multiprovider that is when I check the content of multi provider it say one info object does not exist.Actually this missing info object was set as navigational attribute in the ODS and at present this info object does not exist as navigational attribute in ODS and this info object does not exist in the environment at all.but still when we select the multiprovider it says info object missing. can any one suggest any reason for this.
Regards,
AyyappaHi Ayyappa,
Oops misread the question.
You can refresh the Administartor workbench screen and then retry. Anyways as Paolo said it is just a warning.
Bye
Dinesh -
Poor query performance when joining CONTAINS to another table
We just recently began evaluating Oracle Text for a search solution. We need to be able to search a table that can have over 20+ million rows. Each user may only have visibility to a tiny fraction of those rows. The goal is to have a single Oracle Text index that represents all of the searchable columns in the table (multi column datastore) and provide a score for each search result so that we can sort the search results in descending order by score. What we're seeing is that query performance from TOAD is extremely fast when we write a simple CONTAINS query against the Oracle Text indexed table. However, when we attempt to first reduce the rows the CONTAINS query needs to search by using a WITH we find that the query performance degrades significantly.
For example, we can find all the records a user has access to from our base table by the following query:
SELECT d.duns_loc
FROM duns d
JOIN primary_contact pc
ON d.duns_loc = pc.duns_loc
AND pc.emp_id = :employeeID;
This query can execute in <100 ms. In the working example, this query returns around 1200 rows of the primary key duns_loc.
Our search query looks like this:
SELECT score(1), d.*
FROM duns d
WHERE CONTAINS(TEXT_KEY, :search,1) > 0
ORDER BY score(1) DESC;
The :search value in this example will be 'highway'. The query can return 246k rows in around 2 seconds.
2 seconds is good, but we should be able to have a much faster response if the search query did not have to search the entire table, right? Since each user can only "view" records they are assigned to we reckon that if the search operation only had to scan a tiny tiny percent of the TEXT index we should see faster (and more relevant) results. If we now write the following query:
WITH subset
AS
(SELECT d.duns_loc
FROM duns d
JOIN primary_contact pc
ON d.duns_loc = pc.duns_loc
AND pc.emp_id = :employeeID
SELECT score(1), d.*
FROM duns d
JOIN subset s
ON d.duns_loc = s.duns_loc
WHERE CONTAINS(TEXT_KEY, :search,1) > 0
ORDER BY score(1) DESC;
For reasons we have not been able to identify this query actually takes longer to execute than the sum of the durations of the contributing parts. This query takes over 6 seconds to run. We nor our DBA can seem to figure out why this query performs worse than a wide open search. The wide open search is not ideal as the query would end up returning records to the user they don't have access to view.
Has anyone ever ran into something like this? Any suggestions on what to look at or where to go? If anyone would like more information to help in diagnosis than let me know and i'll be happy to produce it here.
Thanks!!Sometimes it can be good to separate the tables into separate sub-query factoring (with) clauses or inline views in the from clause or an in clause as a where condition. Although there are some differences, using a sub-query factoring (with) clause is similar to using an inline view in the from clause. However, you should avoid duplication. You should not have the same table in two different places, as in your original query. You should have indexes on any columns that the tables are joined on, your statistics should be current, and your domain index should have regular synchronization, optimization, and periodically rebuild or drop and recreate to keep it performing with maximum efficiency. The following demonstration uses a composite domain index (cdi) with filter by, as suggested by Roger, then shows the explained plans for your original query, and various others. Your original query has nested loops. All of the others have the same plan without the nested loops. You could also add index hints.
SCOTT@orcl_11gR2> -- tables:
SCOTT@orcl_11gR2> CREATE TABLE duns
2 (duns_loc NUMBER,
3 text_key VARCHAR2 (30))
4 /
Table created.
SCOTT@orcl_11gR2> CREATE TABLE primary_contact
2 (duns_loc NUMBER,
3 emp_id NUMBER)
4 /
Table created.
SCOTT@orcl_11gR2> -- data:
SCOTT@orcl_11gR2> INSERT INTO duns VALUES (1, 'highway')
2 /
1 row created.
SCOTT@orcl_11gR2> INSERT INTO primary_contact VALUES (1, 1)
2 /
1 row created.
SCOTT@orcl_11gR2> INSERT INTO duns
2 SELECT object_id, object_name
3 FROM all_objects
4 WHERE object_id > 1
5 /
76027 rows created.
SCOTT@orcl_11gR2> INSERT INTO primary_contact
2 SELECT object_id, namespace
3 FROM all_objects
4 WHERE object_id > 1
5 /
76027 rows created.
SCOTT@orcl_11gR2> -- indexes:
SCOTT@orcl_11gR2> CREATE INDEX duns_duns_loc_idx
2 ON duns (duns_loc)
3 /
Index created.
SCOTT@orcl_11gR2> CREATE INDEX primary_contact_duns_loc_idx
2 ON primary_contact (duns_loc)
3 /
Index created.
SCOTT@orcl_11gR2> -- composite domain index (cdi) with filter by clause
SCOTT@orcl_11gR2> -- as suggested by Roger:
SCOTT@orcl_11gR2> CREATE INDEX duns_text_key_idx
2 ON duns (text_key)
3 INDEXTYPE IS CTXSYS.CONTEXT
4 FILTER BY duns_loc
5 /
Index created.
SCOTT@orcl_11gR2> -- gather statistics:
SCOTT@orcl_11gR2> EXEC DBMS_STATS.GATHER_TABLE_STATS (USER, 'DUNS')
PL/SQL procedure successfully completed.
SCOTT@orcl_11gR2> EXEC DBMS_STATS.GATHER_TABLE_STATS (USER, 'PRIMARY_CONTACT')
PL/SQL procedure successfully completed.
SCOTT@orcl_11gR2> -- variables:
SCOTT@orcl_11gR2> VARIABLE employeeid NUMBER
SCOTT@orcl_11gR2> EXEC :employeeid := 1
PL/SQL procedure successfully completed.
SCOTT@orcl_11gR2> VARIABLE search VARCHAR2(100)
SCOTT@orcl_11gR2> EXEC :search := 'highway'
PL/SQL procedure successfully completed.
SCOTT@orcl_11gR2> -- original query:
SCOTT@orcl_11gR2> SET AUTOTRACE ON EXPLAIN
SCOTT@orcl_11gR2> WITH
2 subset AS
3 (SELECT d.duns_loc
4 FROM duns d
5 JOIN primary_contact pc
6 ON d.duns_loc = pc.duns_loc
7 AND pc.emp_id = :employeeID)
8 SELECT score(1), d.*
9 FROM duns d
10 JOIN subset s
11 ON d.duns_loc = s.duns_loc
12 WHERE CONTAINS (TEXT_KEY, :search,1) > 0
13 ORDER BY score(1) DESC
14 /
SCORE(1) DUNS_LOC TEXT_KEY
18 1 highway
1 row selected.
Execution Plan
Plan hash value: 4228563783
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 2 | 84 | 121 (4)| 00:00:02 |
| 1 | SORT ORDER BY | | 2 | 84 | 121 (4)| 00:00:02 |
|* 2 | HASH JOIN | | 2 | 84 | 120 (3)| 00:00:02 |
| 3 | NESTED LOOPS | | 38 | 1292 | 50 (2)| 00:00:01 |
| 4 | TABLE ACCESS BY INDEX ROWID| DUNS | 38 | 1102 | 11 (0)| 00:00:01 |
|* 5 | DOMAIN INDEX | DUNS_TEXT_KEY_IDX | | | 4 (0)| 00:00:01 |
|* 6 | INDEX RANGE SCAN | DUNS_DUNS_LOC_IDX | 1 | 5 | 1 (0)| 00:00:01 |
|* 7 | TABLE ACCESS FULL | PRIMARY_CONTACT | 4224 | 33792 | 70 (3)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access("D"."DUNS_LOC"="PC"."DUNS_LOC")
5 - access("CTXSYS"."CONTAINS"("D"."TEXT_KEY",:SEARCH,1)>0)
6 - access("D"."DUNS_LOC"="D"."DUNS_LOC")
7 - filter("PC"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- queries with better plans (no nested loops):
SCOTT@orcl_11gR2> -- subquery factoring (with) clauses:
SCOTT@orcl_11gR2> WITH
2 subset1 AS
3 (SELECT pc.duns_loc
4 FROM primary_contact pc
5 WHERE pc.emp_id = :employeeID),
6 subset2 AS
7 (SELECT score(1), d.*
8 FROM duns d
9 WHERE CONTAINS (TEXT_KEY, :search,1) > 0)
10 SELECT subset2.*
11 FROM subset1, subset2
12 WHERE subset1.duns_loc = subset2.duns_loc
13 ORDER BY score(1) DESC
14 /
SCORE(1) DUNS_LOC TEXT_KEY
18 1 highway
1 row selected.
Execution Plan
Plan hash value: 153618227
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 38 | 1406 | 83 (5)| 00:00:01 |
| 1 | SORT ORDER BY | | 38 | 1406 | 83 (5)| 00:00:01 |
|* 2 | HASH JOIN | | 38 | 1406 | 82 (4)| 00:00:01 |
| 3 | TABLE ACCESS BY INDEX ROWID| DUNS | 38 | 1102 | 11 (0)| 00:00:01 |
|* 4 | DOMAIN INDEX | DUNS_TEXT_KEY_IDX | | | 4 (0)| 00:00:01 |
|* 5 | TABLE ACCESS FULL | PRIMARY_CONTACT | 4224 | 33792 | 70 (3)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access("PC"."DUNS_LOC"="D"."DUNS_LOC")
4 - access("CTXSYS"."CONTAINS"("TEXT_KEY",:SEARCH,1)>0)
5 - filter("PC"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- inline views (sub-queries in the from clause):
SCOTT@orcl_11gR2> SELECT subset2.*
2 FROM (SELECT pc.duns_loc
3 FROM primary_contact pc
4 WHERE pc.emp_id = :employeeID) subset1,
5 (SELECT score(1), d.*
6 FROM duns d
7 WHERE CONTAINS (TEXT_KEY, :search,1) > 0) subset2
8 WHERE subset1.duns_loc = subset2.duns_loc
9 ORDER BY score(1) DESC
10 /
SCORE(1) DUNS_LOC TEXT_KEY
18 1 highway
1 row selected.
Execution Plan
Plan hash value: 153618227
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 38 | 1406 | 83 (5)| 00:00:01 |
| 1 | SORT ORDER BY | | 38 | 1406 | 83 (5)| 00:00:01 |
|* 2 | HASH JOIN | | 38 | 1406 | 82 (4)| 00:00:01 |
| 3 | TABLE ACCESS BY INDEX ROWID| DUNS | 38 | 1102 | 11 (0)| 00:00:01 |
|* 4 | DOMAIN INDEX | DUNS_TEXT_KEY_IDX | | | 4 (0)| 00:00:01 |
|* 5 | TABLE ACCESS FULL | PRIMARY_CONTACT | 4224 | 33792 | 70 (3)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access("PC"."DUNS_LOC"="D"."DUNS_LOC")
4 - access("CTXSYS"."CONTAINS"("TEXT_KEY",:SEARCH,1)>0)
5 - filter("PC"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- ansi join:
SCOTT@orcl_11gR2> SELECT SCORE(1), duns.*
2 FROM duns
3 JOIN primary_contact
4 ON duns.duns_loc = primary_contact.duns_loc
5 WHERE CONTAINS (duns.text_key, :search, 1) > 0
6 AND primary_contact.emp_id = :employeeid
7 ORDER BY SCORE(1) DESC
8 /
SCORE(1) DUNS_LOC TEXT_KEY
18 1 highway
1 row selected.
Execution Plan
Plan hash value: 153618227
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 38 | 1406 | 83 (5)| 00:00:01 |
| 1 | SORT ORDER BY | | 38 | 1406 | 83 (5)| 00:00:01 |
|* 2 | HASH JOIN | | 38 | 1406 | 82 (4)| 00:00:01 |
| 3 | TABLE ACCESS BY INDEX ROWID| DUNS | 38 | 1102 | 11 (0)| 00:00:01 |
|* 4 | DOMAIN INDEX | DUNS_TEXT_KEY_IDX | | | 4 (0)| 00:00:01 |
|* 5 | TABLE ACCESS FULL | PRIMARY_CONTACT | 4224 | 33792 | 70 (3)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access("DUNS"."DUNS_LOC"="PRIMARY_CONTACT"."DUNS_LOC")
4 - access("CTXSYS"."CONTAINS"("DUNS"."TEXT_KEY",:SEARCH,1)>0)
5 - filter("PRIMARY_CONTACT"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- old join:
SCOTT@orcl_11gR2> SELECT SCORE(1), duns.*
2 FROM duns, primary_contact
3 WHERE CONTAINS (duns.text_key, :search, 1) > 0
4 AND duns.duns_loc = primary_contact.duns_loc
5 AND primary_contact.emp_id = :employeeid
6 ORDER BY SCORE(1) DESC
7 /
SCORE(1) DUNS_LOC TEXT_KEY
18 1 highway
1 row selected.
Execution Plan
Plan hash value: 153618227
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 38 | 1406 | 83 (5)| 00:00:01 |
| 1 | SORT ORDER BY | | 38 | 1406 | 83 (5)| 00:00:01 |
|* 2 | HASH JOIN | | 38 | 1406 | 82 (4)| 00:00:01 |
| 3 | TABLE ACCESS BY INDEX ROWID| DUNS | 38 | 1102 | 11 (0)| 00:00:01 |
|* 4 | DOMAIN INDEX | DUNS_TEXT_KEY_IDX | | | 4 (0)| 00:00:01 |
|* 5 | TABLE ACCESS FULL | PRIMARY_CONTACT | 4224 | 33792 | 70 (3)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access("DUNS"."DUNS_LOC"="PRIMARY_CONTACT"."DUNS_LOC")
4 - access("CTXSYS"."CONTAINS"("DUNS"."TEXT_KEY",:SEARCH,1)>0)
5 - filter("PRIMARY_CONTACT"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -- in clause:
SCOTT@orcl_11gR2> SELECT SCORE(1), duns.*
2 FROM duns
3 WHERE CONTAINS (duns.text_key, :search, 1) > 0
4 AND duns.duns_loc IN
5 (SELECT primary_contact.duns_loc
6 FROM primary_contact
7 WHERE primary_contact.emp_id = :employeeid)
8 ORDER BY SCORE(1) DESC
9 /
SCORE(1) DUNS_LOC TEXT_KEY
18 1 highway
1 row selected.
Execution Plan
Plan hash value: 3825821668
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 38 | 1406 | 83 (5)| 00:00:01 |
| 1 | SORT ORDER BY | | 38 | 1406 | 83 (5)| 00:00:01 |
|* 2 | HASH JOIN SEMI | | 38 | 1406 | 82 (4)| 00:00:01 |
| 3 | TABLE ACCESS BY INDEX ROWID| DUNS | 38 | 1102 | 11 (0)| 00:00:01 |
|* 4 | DOMAIN INDEX | DUNS_TEXT_KEY_IDX | | | 4 (0)| 00:00:01 |
|* 5 | TABLE ACCESS FULL | PRIMARY_CONTACT | 4224 | 33792 | 70 (3)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access("DUNS"."DUNS_LOC"="PRIMARY_CONTACT"."DUNS_LOC")
4 - access("CTXSYS"."CONTAINS"("DUNS"."TEXT_KEY",:SEARCH,1)>0)
5 - filter("PRIMARY_CONTACT"."EMP_ID"=TO_NUMBER(:EMPLOYEEID))
SCOTT@orcl_11gR2> -
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 -
Unique Query Performance Challenge
Experts,
Please I need help in this area. I have a query written from a Multi-Provider. The query is using 98% of its data from 1 base cube. Currently it takes about 4 minutes to run and I want to bring it down to 1 minute.
This query is run off a web template and it is not static. The users can drilldown in any direction as required. The performance is more of a problem from the drilldown.
This query is a cost report with a lot of calculated and restricted key figures, and also a lot of excludes and includes all within the key figures.
The query has 13 restricted key figures and 5 calculated using the restricted, so 18 in all. Each restricted key figure resembles this example:
Cost Element (hierarchy restriction or singles values or ranges restriction)
Sender/Receiver
Version
Value Type
Amount
I believe the complex restrictions are slowing this report down. At the moment I am trying to speed up this report and it has proved a big challenge.
Has anybody experienced a similar challenge before?
Please do not point me to OSS notes or the standard performance documents. I have tried all that. Is there something else beyond those that can help here? Maybe a trick someone has tried?
Help!!Thank you all for replying:
This Problem is still NOT solved but I have more Information.
This query Contains a heirarchy (Main CH in row) and a second object contains hierachy also but selected via Authorisation in the User Profile.
Acutually both hierarchies are selected in Authorisation from the User profile but once the User is in the report, the User can drilldown in the displayed hierarchy depending on thier authorisation.
But most users are at the highest level in both hierarchies so they drilldown on both hierarchies and this is done via a separate selection Section in the Web template.
I am trying to build the exact picture of my scenario.....pls any help.
With this new information, Can I still do the following:
Buffer Hier or Cache by Hier level??? -
How to split the Multi Provider
HI All,
Please give me the steps How to split the Multi provider and also let me know how to find the multi provider is parellal or series?
Thanks
Vasu.Hi
If you have huge volumes of data, logical partitioning (splitting into multiple data targets based on a time characteristic) is always recommendable. You can choose to so only for the cube (split into 3 cubes) and have the suitable code when loading from the ODS's.
Else you can split the ODS's as well and have the code in the update rules from source system to the ODS's. Either ways, once you choose to split...you have no choice but to use a multi provider to report on these splits.
During the execution, query is automatically multiple sub queries and these sub queries read the partitioned cubes in parallel. This would increase the performance of reports. Hope this helps!
http://help.sap.com/saphelp_bw31/helpdata/en/de/bcb73d73a5f972e10000000a114084/content.htm
santosh -
Query performance on RAC is a lot slower than single instance
I simply followed the steps provided by oracle to install a rac db of 2 nodes.
The performce on Insertion (java, thin ojdbc) is pretty much the same compared to a single instance on NFS
However the performance on the select query is very slow compared to single instance.
I have tried using different methods for the storage configuration (asm with raw, ocfs2) but the performance is still slow.
When I shut down one instance, leaving only one instance up, the query performance is very fast (as fast as one single instance)
I am using rhel5 64 bit (16G of physical memory) and oracle 11.1.0.6 with patchset 11.1.0.7
Could someone help me how to debug this problem?
Thanks,
Chau
Edited by: user638637 on Aug 6, 2009 8:31 AMtop 5 timed foreground events:
DB CPU: times 943(s), %db time (47.5%)
cursor.pin S wait on X: wait(13940), time (321s), avg wait(23ms), %db time (16.15%)
direct path read (95,436), times (288), avg watie (3ms), %db ime (14.51%)
IPC send completion sync: wait(546,712), times(149s), avg wait (0), %db time (7.49%)
gc cr multi block request: waits (7574), teims (78) avg wait (10 ms), %db time (4.0)
another thing i see is the "avg global cache cr block flush time (ms): is 37.6 msThe DB CPU Oracle metric is the amount of CPU time (in microseconds) spent on database user-level calls.
You should check your sql statement from report and tuning them.
- Check from Execute Plan.
- If not index, determine to use index.
SQL> set autot trace explain
SQL> sql statement;
cursor: pin S wait on X.
A session waits on this event when requesting a mutex for sharable operationsrelated to pins (such as executing a cursor), but the mutex cannot be granted becauseit is being held exclusively by another session (which is most likely parsing the cursor).
use variable SQL , avoid dynamic sql
http://blog.tanelpoder.com/2008/08/03/library-cache-latches-gone-in-oracle-11g/
check about memory MEMORY_TARGET initialization parameter.
By the way you have high "DB CPU"(47.5%), you should tune about your sql statement (check sql in report and tune)
Good Luck -
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
SrinivasHi 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 -
Hi,
I have a multi provider with 2 cubes & 3 ODS & 1 info object.
On top of this MP queries are built. All the queries are in 3.5
It takes more then 30 min to execute each query.
Now we are planning to replace all 3.5 queries in 7.
We will build cube on top of 3 ODS. New MP will have 3 cubes & 1 Info object.
My issue is, the other 2 cubes are too large. We have around 4 million records in each.
And i need only few fields from these cubes.
Is there any way I can have less load on MP?
What would be the best approach to improve query performance?
Thanks,
GowriHello Gowri,
I think you should take the help of Aggregates.
You may create aggregates on the 2 large cube, using the characteristics
that you are using in the Query.
Since that cubes are having large amount of data, the use of aggregates will consideraly
reduce the Data manager time i.e. time spent by the query in retriving data from info-provider.
for more details on aggregates please refer the following link:
http://help.sap.com/saphelp_nw04/helpdata/en/7d/eb683cc5e8ca68e10000000a114084/content.htm
Thanx and regards
Priyanka
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