Query performance - bench marking

Performance of  a query at any given time is determined by many variables, and I would like to know how to detect performance issues against a benchmark. One thought was to store some data in a separate cube (and not load any more data into it), run a specific query daily (few times) and have the run time info. updated on BW statistics cube. And when users complain about any performance issues on the system for different queries, we can run this specific query to see if there is really a true performance issue in the system.
The objective is to establish bench marks for tracking query performance. Any thoughts or suggestions would be appreciated.
Thanks,
Sree

hi Sree,
that's good idea, but i think only volume data factor may considered here, other factors like query design, aggregate, frontend, network, etc. take a look following for query performance
Prakash's weblog on this topic..
/people/prakash.darji/blog/2006/01/27/query-creation-checklist
/people/prakash.darji/blog/2006/01/26/query-optimization
oss note
557870 'FAQ BW Query Performance'
and 567746 'Composite note BW 3.x performance Query and Web'
some docs
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://websmp206.sap-ag.de/~sapidb/011000358700001394912002
hope this helps.

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B.                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                      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    Justin

  • 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.
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    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
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    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).
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    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.

  • Query performance in two environments

    Hi all,
    I have developed simple select queries on a multiprovider and I am facing issues with query performance in quality box. A query runs pretty fast in in dev and return results while the same one dumps in Quality environment giving a time out error. This sounds more strange because our dev box has comparitively more records than the quality environment right now.
    On anlyzing the query path in both environments, we noticed that the query does an index scan in dev but not in Quality environment, especially when the selection is such that the query is supposed to return lot of records. Since the query does a sequential scan in quality, it dumps. Is there any setting that I need to make seprately in the quality environment.
    Any tips on query optimization would be great help. Thanks
    Regards
    Niranjana

    Execute some of the RSRT tests in the QA for the query using "Execute+Debug" option and use some test for Multiprovider and Databases checks in it ,try to compare with Dev as well.
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  • Weblogic 8.1.6 and Oracle 9.2.0.8 - query performance

    Folks,
    We are upgrading WebLogic from 8.1.5 to 8.1.6 and Oracle from 9.2.0.6 to 9.2.0.8. We use the Oracle thin client driver for 9.2.0.8 to connect from the application to Oracle.
    When we use the following combination of the stack we see SQL query performance degradation: -
    Oracle 9.2.0.8 database, Oracle 9.2.0.8 driver, WL 8.1.6
    Oracle 9.2.0.8 database, Oracle 9.2.0.1 driver, WL 8.1.6
    We do not see the degradation in case of the following: -
    Oracle 9.2.0.8 database, Oracle 9.2.0.1 driver, WL 8.1.5
    Oracle 9.2.0.6 database, Oracle 9.2.0.1 driver, WL 8.1.5
    This shows that the problem could be with the WL 8.1.6 version and I was wondering if any of you have faced this before? The query retrieves a set of data from Oracle none of which contain the AsciiStream data type, which is noted as a problem in WL 8.1.6, but that too, only for WL JDBC drivers.
    Any ideas appreciated.

    Folks,
    We are upgrading WebLogic from 8.1.5 to 8.1.6 and Oracle from 9.2.0.6 to 9.2.0.8. We use the Oracle thin client driver for 9.2.0.8 to connect from the application to Oracle.
    When we use the following combination of the stack we see SQL query performance degradation: -
    Oracle 9.2.0.8 database, Oracle 9.2.0.8 driver, WL 8.1.6
    Oracle 9.2.0.8 database, Oracle 9.2.0.1 driver, WL 8.1.6
    We do not see the degradation in case of the following: -
    Oracle 9.2.0.8 database, Oracle 9.2.0.1 driver, WL 8.1.5
    Oracle 9.2.0.6 database, Oracle 9.2.0.1 driver, WL 8.1.5
    This shows that the problem could be with the WL 8.1.6 version and I was wondering if any of you have faced this before? The query retrieves a set of data from Oracle none of which contain the AsciiStream data type, which is noted as a problem in WL 8.1.6, but that too, only for WL JDBC drivers.
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