Oracle Performance Improvement query
Hi Chaps
Everyday we are loading around 300 k records into our application table.Before loading these records, we have to get customerid from another application databases.We are taking customerno from each record and getting master customer id from another application database. we are making 300 K calls and it takes nearly 2.5 hrs to complete this process.
We are trying to minimize this loading time.Instead of making 300 K calls, is it possible to take 300 K customerno in one shot and making one call to the remote database to get all the 300 k customer master ids.
I would like to know your suggestions to implement the above?. Anybody met this type of situation?. Pls give your suggestions.
it possible to take 300 K
customerno in one shot and making one call to the
remote database to get all the 300 k customer master
ids.
I don't know.
Maybe you can make a copy as a materialized view of the the master customer id table in the local database (where data is loaded).
Similar Messages
-
How many ways can i improve query performance?
Hi All,
can any body help me
How many ways can i improve query performance in oracle ?
Thanks,
narasimhaAs many as you can think of them!!!
-
How to improve query performance built on a ODS
Hi,
I've built a report on FI_GL ODS (BW3.5). The report execution time takes almost 1hr.
Is there any method to improve or optimize th query performance that build on ODS.
The ODS got huge volume of data ~ 300 Million records for 2 years.
Thanx in advance,
Guru.Hi Raj,
Here are some few tips which helps you in improving ur query performance
Checklist for Query Performance
1. If exclusions exist, make sure they exist in the global filter area. Try to remove exclusions by subtracting out inclusions.
2. Use Constant Selection to ignore filters in order to move more filters to the global filter area. (Use ABAPer to test and validate that this ensures better code)
3. Within structures, make sure the filter order exists with the highest level filter first.
4. Check code for all exit variables used in a report.
5. Move Time restrictions to a global filter whenever possible.
6. Within structures, use user exit variables to calculate things like QTD, YTD. This should generate better code than using overlapping restrictions to achieve the same thing. (Use ABAPer to test and validate that this ensures better code).
7. When queries are written on multiproviders, restrict to InfoProvider in global filter whenever possible. MultiProvider (MultiCube) queries require additional database table joins to read data compared to those queries against standard InfoCubes (InfoProviders), and you should therefore hardcode the infoprovider in the global filter whenever possible to eliminate this problem.
8. Move all global calculated and restricted key figures to local as to analyze any filters that can be removed and moved to the global definition in a query. Then you can change the calculated key figure and go back to utilizing the global calculated key figure if desired
9. If Alternative UOM solution is used, turn off query cache.
10. Set read mode of query based on static or dynamic. Reading data during navigation minimizes the impact on the R/3 database and application server resources because only data that the user requires will be retrieved. For queries involving large hierarchies with many nodes, it would be wise to select Read data during navigation and when expanding the hierarchy option to avoid reading data for the hierarchy nodes that are not expanded. Reserve the Read all data mode for special queriesu2014for instance, when a majority of the users need a given query to slice and dice against all dimensions, or when the data is needed for data mining. This mode places heavy demand on database and memory resources and might impact other SAP BW processes and tasks.
11. Turn off formatting and results rows to minimize Frontend time whenever possible.
12. Check for nested hierarchies. Always a bad idea.
13. If "Display as hierarchy" is being used, look for other options to remove it to increase performance.
14. Use Constant Selection instead of SUMCT and SUMGT within formulas.
15. Do review of order of restrictions in formulas. Do as many restrictions as you can before
calculations. Try to avoid calculations before restrictions.
17. Turn off warning messages on queries.
18. Check to see if performance improves by removing text display (Use ABAPer to test and validate that this ensures better code).
19. Check to see where currency conversions are happening if they are used.
20. Check aggregation and exception aggregation on calculated key figures. Before aggregation is generally slower and should not be used unless explicitly needed.
21. Avoid Cell Editor use if at all possible.
22. Make sure queries are regenerated in production using RSRT after changes to statistics, consistency changes, or aggregates.
23. Within the free characteristics, filter on the least granular objects first and make sure those come first in the order. -
Pls help me to modify the query for performance improvement
Hi,
I have the below initialization
DECLARE @Active bit =1 ;
Declare @id int
SELECT @Active=CASE WHEN id=@id and [Rank] ='Good' then 0 else 1 END FROM dbo.Students
I have to change this query in such a way that the conditions id=@id and [Rank] ='Good' should go to the where condition of the query. In that case, how can i use Case statement to retrieve 1 or 0? Can you please help me to modify this initialization?I dont understand your query...May be below? or provide us sample data and your output...
SELECT * FROM dbo.students
where @Active=CASE
WHEN id=@id and rank ='Good' then 0 else 1 END
But, I doubt you will have performance improvement here?
Do you have index on id?
If you are looking for getting the data for @ID with rank ='Good' then use the below:Make sure, you have index on id,rank combination.
SELECT * FROM dbo.students
where id=@id
and rank ='Good' -
Performance improvement in Oracle 11g
Hi,
What are the best suggestion to handle when we implement performance tuning in oracle? Below are the scenario:
Scenario # 1 : App team is running some test cases from front end. and there was a performace degradation while running the SQL statements in the transaction. it means 39 round trip to the database.
Of the 39 SQL statements – 21 inserts, 16 selects, 3 update. and the AWR report says that there were few most expensive SQL statements(some insert queries).
Scenario # 2 : There was a small percentage (<1%) of “buffer busy wait” which could be elongating individual SQL statements by an average of 27ms – need to do tuning by reducing data and index contention
So what is the best option available in oracle performance tuning other than Explain plan, AWR report, ORacle partitioning and SQL trace for the above 2 scenarios?? also implemented Oracle huge page by increasing the memory.. Performance was slighly improved but no use again it went back to the same state.
IS there any other way I can use Index_ffs_scan and RICHS_SECRET_HINT or caching a table in a memory options to make SQL statements much faster?? any other new methods available in ORacle performance tuning?? suggestions please.. also Pl let me know if you want more details..
Thanks
LaksDBACould anyone respond to this thread? I need the info Asap. Thanks!
LaksDBA -
Hi folks,
A question about Oracle performance.
Which query would be faster....Is it the join of the tables or Is it the sub query of the tables.
ex : select A.* from A a, B b where a.col1 = b.col1;
(OR)
select * from A where col1 in (select col1 from B);
Thanks
Shekar.the query are not equivalent!
SQL> select * from dept where deptno in (select deptno from emp)
DEPTNO DNAME LOC
20 RESEARCH DALLAS
30 SALES CHICAGO
10 ACCOUNTING NEW YORK
SQL> select dept.* from dept,emp where dept.deptno=emp.deptno;
DEPTNO DNAME LOC
20 RESEARCH DALLAS
30 SALES CHICAGO
30 SALES CHICAGO
20 RESEARCH DALLAS
30 SALES CHICAGO
30 SALES CHICAGO
10 ACCOUNTING NEW YORK
20 RESEARCH DALLAS
10 ACCOUNTING NEW YORK
30 SALES CHICAGO
20 RESEARCH DALLAS
30 SALES CHICAGO
20 RESEARCH DALLAS
10 ACCOUNTING NEW YORK
14 rows selected. -
How to improve performance of query
Hi all,
How to improve performance of query.
please send :
[email protected]
thanks in advance
bhaskarhi
go through the following links for performance
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/cccad390-0201-0010-5093-fd9ec8157802
http://www.asug.com/client_files/Calendar/Upload/ASUG%205-mar-2004%20BW%20Performance%20PDF.pdf
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/1955ba90-0201-0010-d3aa-8b2a4ef6bbb2 -
How to improve Query performance on large table in MS SQL Server 2008 R2
I have a table with 20 million records. What is the best option to improve query performance on this table. Is partitioning the table into filegroups is a best option or splitting the table into multiple smaller tables?
Hi bala197164,
First, I want to inform that both to partition the table into filegroups and split the table into multiple smaller tables can improve the table query performance, and they are fit for different situation. For example, our table have one hundred columns and
some columns are not related to this table object directly (for example, there is a table named userinfo to store user information, it has columns address_street, address_zip,address_ province columns, at this time, we can create a new table named as Address,
and add a foreign key in userinfo table references Address table), under this situation, by splitting a large table into smaller, individual tables, queries that access only a fraction of the data can run faster because there is less data to scan. Another
situation is our table records can be grouped easily, for example, there is a column named year to store information about product release date, at this time, we can partition the table into filegroups to improve the query performance. Usually, we perform
both of methods together. Additionally, we can add index to table to improve the query performance. For more detail information, please refer to the following document:
Partitioning:
http://msdn.microsoft.com/en-us/library/ms178148.aspx
CREATE INDEX (Transact-SQL):
http://msdn.microsoft.com/en-us/library/ms188783.aspx
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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 -
Improving performance of query with View
Hi ,
I'm working on a stored procedure where certain records have to be eleminated , unfortunately tables involved in this exception query are present in a different database which will lead to performance issue. Is there any way in SQL Server to store this query
in a view and store it's execution plan and make it work like sp.While I beleive it's kinda crazy thought but is there any better way to improve performance of query when accessed across databases.
Thanks,
Vishal.Do not try to solve problems that you have not yet confirmed to exist. There is no general reason why a query (regardless of whether it involves a view) that refers to a table in a different database (NB - DATABASE not INSTANCE) will perform poorly.
As a suggestion, write a working query using a duplicate of the table in the current database. Once it is working, then worry about performance. Once that is working as efficiently as it can , change the query to use the "remote" table rather
than the duplicate. Then determine if you have an issue. If you cannot get the level of performance you desire with a local table, then you most likely have a much larger issue to address. In that case, perhaps you need to change your perspective
and approach to accomplishing your goal. -
Hi,
I am executing one query it takes 40-45 mins, can anybody tell me where is the issue because I have index on SUBSCRIPTION table.
Query is taking time in Nested Loop. Can anyboduy please help to improve query performance.
Select count(unique individual_id)
from SUBSCRIPTION S ,SOURCE D WHERE S.ORDER_DOCUMENT_KEY_CD=D.FULFILLMENT_KEY_CD AND prod_abbr='TOH'
and to_char(source_start_dt,'YYMM')>='1010' and mke_mag_source_type_cd='D';
select count(*) from source; ----------3,425,131
select count(*) from subscription;---------394,517,271
Below is exlain Plan
Plan
SELECT STATEMENT CHOOSECost: 219 Bytes: 38 Cardinality: 1
13 SORT GROUP BY Bytes: 38 Cardinality: 1
12 PX COORDINATOR
11 PX SEND QC (RANDOM) SYS.:TQ10001 Bytes: 38 Cardinality: 1
10 SORT GROUP BY Bytes: 38 Cardinality: 1
9 PX RECEIVE Bytes: 38 Cardinality: 1
8 PX SEND HASH SYS.:TQ10000 Bytes: 38 Cardinality: 1
7 SORT GROUP BY Bytes: 38 Cardinality: 1
6 TABLE ACCESS BY LOCAL INDEX ROWID TABLE SUBSCRIPTION Cost: 21 Bytes: 3,976 Cardinality: 284
5 NESTED LOOPS Cost: 219 Bytes: 604,276 Cardinality: 15,902
2 PX BLOCK ITERATOR
1 TABLE ACCESS FULL TABLE SOURCE Cost: 72 Bytes: 1,344 Cardinality: 56
4 PARTITION HASH ALL Cost: 2 Cardinality: 284 Partition #: 12 Partitions accessed #1 - #16
3 INDEX RANGE SCAN INDEX XAK1SUBSCRIPTION Cost: 2 Cardinality: 284 Partition #: 12 Partitions accessed #1 - #16
Please suggestit eliminate hidden conversation from char to numberi dont know indexes/partition on TC table, and you?
drop table test;
create table test as select level id, sysdate + level/24/60/60 datum from dual connect by level < 10000;
create index idx1 on test(datum);
analyze table test compute statistics;
explain plan for select count(*) from test where to_char(datum,'YYYYMMDD') > '20120516';
SELECT * FROM TABLE(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 3467505462
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 7 | 7 (15)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 7 | | |
|* 2 | TABLE ACCESS FULL| TEST | 500 | 3500 | 7 (15)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter(TO_CHAR(INTERNAL_FUNCTION("DATUM"),'YYYYMMDD')>'20120516')
explain plan for select count(*) from test where datum > trunc(sysdate);
SELECT * FROM TABLE(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 2330213601
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 7 | 7 (15)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 7 | | |
|* 2 | INDEX FAST FULL SCAN| IDX1 | 9999 | 69993 | 7 (15)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter("DATUM">TRUNC(SYSDATE@!))
drop index idx1;
create index idx1 on test(to_number(to_char(datum,'YYYYMMDD')));
analyze table test compute statistics;
explain plan for select count(*) from test where to_number(to_char(datum,'YYYYMMDD')) > 20120516;
SELECT * FROM TABLE(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 227046122
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 5 | 2 (0)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 5 | | |
|* 2 | INDEX RANGE SCAN| IDX1 | 1 | 5 | 2 (0)| 00:00:01 |
Predicate Information (identified by operation id):
2 - access(TO_NUMBER(TO_CHAR(INTERNAL_FUNCTION("DATUM"),'YYYYMMDD'))>
20120516)
explain plan for select count(*) from test where datum > trunc(sysdate);
SELECT * FROM TABLE(dbms_xplan.display);
PLAN_TABLE_OUTPUT
Plan hash value: 3467505462
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 7 | 7 (15)| 00:00:01 |
| 1 | SORT AGGREGATE | | 1 | 7 | | |
|* 2 | TABLE ACCESS FULL| TEST | 9999 | 69993 | 7 (15)| 00:00:01 |
Predicate Information (identified by operation id):
2 - filter("DATUM">TRUNC(SYSDATE@!)) -
How to improve Query Performance
Hi Friends...
I Want to improve query performance.I need following things.
1.What is the process to findout the performance?. Any transaction code's and how to use?.
2.How can I know whether the query is running good or bad ,ie. in performance praspect.
3.I want to see the values i.e. how much time it is taking to run?. and where the defect is?.
4.How to improve the query performance?. After I did the needfull things to improve performance, I want to see the query execution time. i.e. it is running fast or not?.
Eg..
Eg 1. Need to create aggregates.
Solution: where can I create aggregates?. Now I'm in production system. So where I need to create? .i.e. indevelopment or in Quality or in Production system?.
Any chenges I need to do in Development?.Because I'm in Production system.
So please tell me solution for my questions.
Thanks
Ganga
Message was edited by: Ganga Nhi ganga
please refer oss note :557870 : Frequently asked questions on query performance
also refer to
Prakash's weblog
/people/prakash.darji/blog/2006/01/27/query-creation-checklist
/people/prakash.darji/blog/2006/01/26/query-optimization
performance docs on query
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/3f66ba90-0201-0010-ac8d-b61d8fd9abe9
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/cccad390-0201-0010-5093-fd9ec8157802
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/ce7fb368-0601-0010-64ba-fadc985a1f94
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/c8c4d794-0501-0010-a693-918a17e663cc
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/064fed90-0201-0010-13ae-b16fa4dab695
This is the oss notes of FAQ on query performance
1. What kind of tools are available to monitor the overall Query Performance?
1. BW Statistics
2. BW Workload Analysis in ST03N (Use Export Mode!)
3. Content of Table RSDDSTAT
2. Do I have to do something to enable such tools?
Yes, you need to turn on the BW Statistics:
RSA1, choose Tools -> BW statistics for InfoCubes
(Choose OLAP and WHM for your relevant Cubes)
3. What kind of tools is available to analyze a specific query in detail?
1. Transaction RSRT
2. Transaction RSRTRACE
4. Do I have an overall query performance problem?
i. 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 Info Cubes.
ii. You need to run ST03N in expert mode to get these values
5. What can I do if the database proportion is high for all queries?
Check:
1. If the database statistic strategy is set up properly for your DB platform (above all for the BW specific tables)
2. If database parameter set up accords with SAP Notes and SAP Services (EarlyWatch)
3. If Buffers, I/O, CPU, memory on the database server are exhausted?
4. If Cube compression is used regularly
5. If Database partitioning is used (not available on all DB platforms)
6. What can I do if the OLAP proportion is high for all queries?
Check:
1. If the CPUs on the application server are exhausted
2. If the SAP R/3 memory set up is done properly (use TX ST02 to find bottlenecks)
3. If the read mode of the queries is unfavourable (RSRREPDIR, RSDDSTAT, Customizing default)
7. What can I do if the client proportion is high for all queries?
Check whether most of your clients are connected via a WAN connection and the amount of data which is transferred is rather high.
8. Where can I get specific runtime information for one query?
1. Again you can use ST03N -> BW System Load
2. Depending on the time frame you select, you get historical data or current data.
3. To get to a specific query you need to drill down using the InfoCube name
4. Use Aggregation Query to get more runtime information about a single query. Use tab All data to get to the details. (DB, OLAP, and Frontend time, plus Select/ Transferred records, plus number of cells and formats)
9. What kind of query performance problems can I recognize using ST03N
values for a specific query?
(Use Details to get the runtime segments)
1. High Database Runtime
2. High OLAP Runtime
3. High Frontend Runtime
10. What can I do if a query has a high database runtime?
1. Check if an aggregate is suitable (use All data to get values "selected records to transferred records", a high number here would be an indicator for query performance improvement using an aggregate)
2. o Check if database statistics are update to data for the Cube/Aggregate, use TX RSRV output (use database check for statistics and indexes)
3. Check if the read mode of the query is unfavourable - Recommended (H)
11. What can I do if a query has a high OLAP runtime?
1. Check if a high number of Cells transferred to the OLAP (use "All data" to get value "No. of Cells")
2. Use RSRT technical Information to check if any extra OLAP-processing is necessary (Stock Query, Exception Aggregation, Calc. before Aggregation, Virtual Char. Key Figures, Attributes in Calculated Key Figs, Time-dependent Currency Translation) together with a high number of records transferred.
3. Check if a user exit Usage is involved in the OLAP runtime?
4. 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.
5. Check if a proper index on the inclusion table exist
12. What can I do if a query has a high frontend runtime?
1. Check if a very high number of cells and formatting are transferred to the Frontend (use "All data" to get value "No. of Cells") which cause high network and frontend (processing) runtime.
2. Check if frontend PC are within the recommendation (RAM, CPU MHz)
3. Check if the bandwidth for WAN connection is sufficient
REWARDING POINTS IS THE WAY OF SAYING THANKS IN SDN
CHEERS
RAVI -
How to improve query & loading performance.
Hi All,
How to improve query & loading performance.
Thanks in advance.
Rgrds
shobaHi Shoba
There are lot of things to improve the query and loading performance.
please refer oss note :557870 : Frequently asked questions on query performance
also refer to
weblogs:
/people/prakash.darji/blog/2006/01/27/query-creation-checklist
/people/prakash.darji/blog/2006/01/26/query-optimization
performance docs on query
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/3f66ba90-0201-0010-ac8d-b61d8fd9abe9
https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/cccad390-0201-0010-5093-fd9ec8157802
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This is the oss notes of FAQ on query performance
1. What kind of tools are available to monitor the overall Query Performance?
1. BW Statistics
2. BW Workload Analysis in ST03N (Use Export Mode!)
3. Content of Table RSDDSTAT
2. Do I have to do something to enable such tools?
Yes, you need to turn on the BW Statistics:
RSA1, choose Tools -> BW statistics for InfoCubes
(Choose OLAP and WHM for your relevant Cubes)
3. What kind of tools is available to analyze a specific query in detail?
1. Transaction RSRT
2. Transaction RSRTRACE
4. Do I have an overall query performance problem?
i. 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 Info Cubes.
ii. You need to run ST03N in expert mode to get these values
5. What can I do if the database proportion is high for all queries?
Check:
1. If the database statistic strategy is set up properly for your DB platform (above all for the BW specific tables)
2. If database parameter set up accords with SAP Notes and SAP Services (EarlyWatch)
3. If Buffers, I/O, CPU, memory on the database server are exhausted?
4. If Cube compression is used regularly
5. If Database partitioning is used (not available on all DB platforms)
6. What can I do if the OLAP proportion is high for all queries?
Check:
1. If the CPUs on the application server are exhausted
2. If the SAP R/3 memory set up is done properly (use TX ST02 to find bottlenecks)
3. If the read mode of the queries is unfavourable (RSRREPDIR, RSDDSTAT, Customizing default)
7. What can I do if the client proportion is high for all queries?
Check whether most of your clients are connected via a WAN connection and the amount of data which is transferred is rather high.
8. Where can I get specific runtime information for one query?
1. Again you can use ST03N -> BW System Load
2. Depending on the time frame you select, you get historical data or current data.
3. To get to a specific query you need to drill down using the InfoCube name
4. Use Aggregation Query to get more runtime information about a single query. Use tab All data to get to the details. (DB, OLAP, and Frontend time, plus Select/ Transferred records, plus number of cells and formats)
9. What kind of query performance problems can I recognize using ST03N
values for a specific query?
(Use Details to get the runtime segments)
1. High Database Runtime
2. High OLAP Runtime
3. High Frontend Runtime
10. What can I do if a query has a high database runtime?
1. Check if an aggregate is suitable (use All data to get values "selected records to transferred records", a high number here would be an indicator for query performance improvement using an aggregate)
2. o Check if database statistics are update to data for the Cube/Aggregate, use TX RSRV output (use database check for statistics and indexes)
3. Check if the read mode of the query is unfavourable - Recommended (H)
11. What can I do if a query has a high OLAP runtime?
1. Check if a high number of Cells transferred to the OLAP (use "All data" to get value "No. of Cells")
2. Use RSRT technical Information to check if any extra OLAP-processing is necessary (Stock Query, Exception Aggregation, Calc. before Aggregation, Virtual Char. Key Figures, Attributes in Calculated Key Figs, Time-dependent Currency Translation) together with a high number of records transferred.
3. Check if a user exit Usage is involved in the OLAP runtime?
4. 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.
5. Check if a proper index on the inclusion table exist
12. What can I do if a query has a high frontend runtime?
1. Check if a very high number of cells and formatting are transferred to the Frontend (use "All data" to get value "No. of Cells") which cause high network and frontend (processing) runtime.
2. Check if frontend PC are within the recommendation (RAM, CPU MHz)
3. Check if the bandwidth for WAN connection is sufficient
and the some threads:
how can i increse query performance other than creating aggregates
How to improve query performance ?
Query performance - bench marking
may be helpful
Regards
C.S.Ramesh
[email protected] -
How to tune the performance of Oracle SQL/XML query?
Hi all,
I am running Oracle 9i and like to run the following Oracle SQL/XML query. It takes about 3+ hour and still not finish. If I get rid all the XML stuffs it only take minutes to run. Does anybody know how to what's the reason of this slow and how to tune it?
SELECT XMLElement("CUSTOMER",
XMLForest(C_CUSTKEY "C_CUSTKEY", C_NAME "C_NAME", C_ADDRESS "C_ADDRESS", C_PHONE "C_PHONE", C_MKTSEGMENT "C_MKTSEGMENT", C_COMMENT "C_COMMENT"),
(SELECT XMLAgg(XMLElement("ORDERS",
XMLForest(O_ORDERKEY "O_ORDERKEY", O_CUSTKEY "O_CUSTKEY", O_ORDERSTATUS "O_ORDERSTATUS", O_ORDERPRIORITY "O_ORDERPRIORITY", O_CLERK "O_CLERK", O_COMMENT "O_COMMENT"),
(SELECT XMLAgg(XMLElement("LINEITEM",
XMLForest(L_ORDERKEY "L_ORDERKEY", L_RETURNFLAG "L_RETURNFLAG", L_LINESTATUS "L_LINESTATUS", L_SHIPINSTRUCT "L_SHIPINSTRUCT", L_SHIPMODE "L_SHIPMODE", L_COMMENT "L_COMMENT")
FROM LINEITEM
WHERE LINEITEM.L_ORDERKEY = ORDERS.O_ORDERKEY)
FROM ORDERS
WHERE ORDERS.O_CUSTKEY = CUSTOMER.C_CUSTKEY)
FROM CUSTOMER ;
Thanks very much in advance for your time,
Jinghao Liuajallen wrote:
Why not something more like
SELECT *
FROM fact1 l,
FULL OUTER JOIN fact1 d
ON l.company = d.company
AND l.transactiontypeid = 1
AND d.transactiontypeid = 2;
Because this is not an equivalent of the original query.
drop table t1 cascade constraints purge;
drop table t2 cascade constraints purge;
create table t1 as select rownum t1_id from dual connect by level <= 5;
create table t2 as select rownum+2 t2_id from dual connect by level <= 5;
select * from (select * from t1 where t1_id > 2) t1 full outer join t2 on (t1_id = t2_id);
select * from t1 full outer join t2 on (t1_id = t2_id and t1_id > 2);
T1_ID T2_ID
3 3
4 4
5 5
6
7
T1_ID T2_ID
1
2
3 3
4 4
5 5
6
7 -
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
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