How to improve select stmt performance without going for secondary index

Hi friends,
I have a select statement which does not contains key fields(Primary index) in where condition. And I have to improve that select stmt performance without going for the secondary indexes.
Can you plese suggest the alternative way for this?.
Thanks in advance,
Ramesh.

Hi,
If , possible create a secondary index opf your own But if you have restriction on this, try to arrange the fields in where clause in the same order as they appear in the very table.
This will help the performance a bit.
Another issue, If your table doesn't contain any critical data or data in them are not updated frequently, you may go for Bufferring . it is a good alternate of Indexing with above limitations.
For details in bufferring , check, and all the sublinks.
[concept of buffering|http://help.sap.com/saphelp_nw04/helpdata/en/cf/21f244446011d189700000e8322d00/content.htm]
Regards,
Anirban

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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:
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/people/prakash.darji/blog/2006/01/26/query-optimization
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https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/3f66ba90-0201-0010-ac8d-b61d8fd9abe9
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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?
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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?
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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:
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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:
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2. If the SAP R/3 memory set up is done properly (use TX ST02 to find bottlenecks)
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7. What can I do if the client proportion is high for all queries?
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8. Where can I get specific runtime information for one query?
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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?
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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)
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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
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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]

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How to improve select stmt performance without going for secondary index

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