Select statement performance improvement.

HI Guru's,
I am new to ABAP.
I have the below select stement
000304         SELECT mandt msgguid pid exetimest
000305           INTO TABLE lt_key
000306           UP TO lv_del_rows ROWS
000307           FROM (gv_master)
000308           WHERE
000309 *          msgstate   IN rt_msgstate
000310 *          AND   ( adapt_stat =  cl_xms_persist=>co_stat_adap_processed
000311 *          OR      adapt_stat =  cl_xms_persist=>co_stat_adap_undefined )
000312 *          AND     itfaction  =  ls_itfaction
000313 *          AND     msgtype    =  cl_xms_persist=>co_async
000314 *          AND
000315           exetimest  LE lv_timestamp
000316           AND     exetimest  GE last_ts
000317           AND     reorg      =  cl_xms_persist=>co_reorg_ini
000318           ORDER BY mandt itfaction reorg exetimest.
Can anyone help me how i can improve the performance of this statement?
Here is the sql trace for the statement:
SELECT
/*+
  FIRST_ROWS (100)
  "MANDT" , "MSGGUID" , "PID" , "EXETIMEST"
FROM
  "SXMSPMAST"
WHERE
  "MANDT" = :A0 AND "EXETIMEST" <= :A1 AND "EXETIMEST" >= :A2 AND "REORG" = :A3
ORDER BY
  "MANDT" , "ITFACTION" , "REORG" , "EXETIMEST"
Execution Plan
SELECT STATEMENT ( Estimated Costs = 3 , Estimated #Rows = 544 )
        4 SORT ORDER BY
          ( Estim. Costs = 2 , Estim. #Rows = 544 )
          Estim. CPU-Costs = 15.671.852 Estim. IO-Costs = 1
            3 FILTER
                2 TABLE ACCESS BY INDEX ROWID SXMSPMAST
                  ( Estim. Costs = 1 , Estim. #Rows = 544 )
                  Estim. CPU-Costs = 11.130 Estim. IO-Costs = 1
                    1 INDEX RANGE SCAN SXMSPMAST~TST
                      Search Columns: 2
                      Estim. CPU-Costs = 3.329 Estim. IO-Costs = 0
Do I need to create any new index ? Do i need to remove the Order By clause?
Thanks in advance.

why is there an
UP TO lv_del_rows ROWS
together with an ORDER BY?
The database will find all rows fulfilling the condition but returns only the largest Top lv_del_rows.
Therefore it can take a while.
Your index, always put the client field at first position.
actually I am not really convinced by your logic:
itfaction reorg exetimest.
itfaction is the first in the sort order, so all records with the smallest itfactio will come first, but itfaction is not specified, is this really what you want?
Change the index to mandt reorg exetimest reorg
and change the ORDER BY to mandt reorg exetimest
then it will become fast.
* AND ( adapt_stat = cl_xms_persist=>co_stat_adap_processed
000311 * OR adapt_stat = cl_xms_persist=>co_stat_adap_undefined )
000312 * AND itfaction = ls_itfaction
000313 * AND msgtype = cl_xms_persist=>co_async
000314 * AND
000315 exetimest LE lv_timestamp
000316 AND exetimest GE last_ts
000317 AND reorg = cl_xms_persist=>co_reorg_ini
000318 ORDER BY mandt itfaction reorg exetimest.

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    >
    Siegfried Boes  wrote:
    > Please stop writing answers if you understrand nothing about database SELECTS!
    > All above recommendations are pure nonsense!
    >
    > As always with such questions, you must do an analysis before you ask! The coding itself is perfectly o.k., a SELECT with an aggregate and a GROUP BY can not be changed into a SELECT SINGLE or whatever.
    >
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    >
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    > Maybe only one statement is slow.
    >
    > See
    > SQL trace:
    > /people/siegfried.boes/blog/2007/09/05/the-sql-trace-st05-150-quick-and-easy
    >
    >
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    SQL> /
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    Tidsåtgång: 00:01:55.02
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       6    3         INDEX (RANGE SCAN) OF 'table1_IDX1' (INDEX) (Cost=0 Card=1)                                                      
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       8    7       SORT (UNIQUE) (Cost=3 Card=108 Bytes=864)                      
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      10    9           INDEX (RANGE SCAN) OF 'table2_IDX1' (INDEX) (Cost=1 Card=108)                                               
      11    7       SORT (UNIQUE) (Cost=3 Card=108 Bytes=864)                      
      12   11         TABLE ACCESS (BY INDEX ROWID) OF 'table2' (TABLE) (Cost=2 Card=108 Bytes=864)                                 
      13   12           INDEX (RANGE SCAN) OF 'table2_IDX1' (INDEX) (Cost=1 Card=108)                                               
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              1  recursive calls                                                   
              0  db block gets                                                     
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              0  physical reads                                                    
            812  redo size                                                         
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          32245  bytes received via SQL*Net from client                            
           2888  SQL*Net roundtrips to/from client                                 
         860256  sorts (memory)                                                    
              0  sorts (disk)                                                      
          43302  rows processed  Looks like a big number of consistent gets! Any idea how to improve on that?
    Martin.

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    The following query is being run for a period of 1 year where the number of records returned will be approx 3 million. When the program is run in background the execution time is around 76 hours. When I run the same program dividing the selection period into smaller parts I am able to execute the same in about an hour.
    After a previous posting I had changed the select statement to
      CHECK NOT LT_MARC IS INITIAL.
      SELECT RSNUM
             RSPOS
             RSART
             MATNR
             WERKS
             BDTER
             BDMNG FROM RESB
                          APPENDING TABLE GT_RESB  PACKAGE SIZE LV_SIZE
                          FOR ALL ENTRIES IN LT_MARC
                          WHERE XLOEK EQ ' '
                          AND MATNR EQ LT_MARC-MATNR
                          AND WERKS EQ P_WERKS
                          AND BDTER IN S_PERIOD.
      ENDSELECT.
    But the performance improvement is very negligible.
    Please suggest.
    Regards,
    Karthik

    Hi Karthik,
    <b>Do not use the appending statement</b>
    Also you said if you reduce period then you get it quickly.
    Why not try dividing your internal table LT_MARC into small internal tables having max 1000 entries.
    You can read from index 1 - 1000 for first table. Use that in the select query and append the results
    Then you can refresh that table and read table LT_MARC from 1001-2000 into the same table and then again execute the same query.
    I know this sounds strange but you can bargain for better performance by increasing data base hits in this case.
    Try this and let me know.
    Regards
    Nishant
    > I have the following select statement which I would
    > want to fine tune.
    >
    >   CHECK NOT LT_MARC IS INITIAL.
    > SELECT RSNUM
    >          RSPOS
    > RSART
    >          MATNR
    > WERKS
    >          BDTER
    > BDMNG FROM RESB
    >                       INTO TABLE GT_RESB 
    > FOR ALL ENTRIES IN LT_MARC
    >                       WHERE XLOEK EQ ' '
    > AND MATNR EQ LT_MARC-MATNR
    >                       AND WERKS EQ P_WERKS
    > AND BDTER IN S_PERIOD.
    >  
    > e following query is being run for a period of 1 year
    > where the number of records returned will be approx 3
    > million. When the program is run in background the
    > execution time is around 76 hours. When I run the
    > same program dividing the selection period into
    > smaller parts I am able to execute the same in about
    > an hour.
    >
    > After a previous posting I had changed the select
    > statement to
    >
    >   CHECK NOT LT_MARC IS INITIAL.
    > SELECT RSNUM
    >          RSPOS
    > RSART
    >          MATNR
    > WERKS
    >          BDTER
    > BDMNG FROM RESB
    > APPENDING TABLE GT_RESB
    >   PACKAGE SIZE LV_SIZE
    >                     FOR ALL ENTRIES IN LT_MARC
    >   WHERE XLOEK EQ ' '
    >                     AND MATNR EQ LT_MARC-MATNR
    >   AND WERKS EQ P_WERKS
    >                     AND BDTER IN S_PERIOD.
    > the performance improvement is very negligible.
    > Please suggest.
    >
    > Regards,
    > Karthik
    Hi Karthik,

  • Performance Tuning -To find the execution time for Select Statement

    Hi,
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    Thanks,
    Rajani.

    Hi,
    This is documentation regarding performance analysis. Hope this will be useful
    It is a general practice to use           Select  *  from <database>…     This statement populates all the values of the structure in the database.
    The effect is many fold:-
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    •     There is large amount of unused data in memory
    •     It increases the processing time from work area or internal tables
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         Data: i_marc like marc occurs 0 with header line.
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         Select * from marc
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              For all entries in i_mara
              Where matnr eq i_mara-matnr.
         Instead use the following statement:-
                                       Data: begin of i_mara occurs 0,
                                            Matnr like mara-matnr,
                                                  End of i_mara.
         Data: begin of i_marc occurs 0,
              Matnr like marc-matnr,
                                            Werks like marc-werks,
                                                 End of i_marc.
         Select matnr from mara
              Into table i_mara
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  • Select query and Insert statement performance

    Hi all,
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    2) one of the SELECT statement runs very slow. It selects all records (around 1000) from a table..How can i improve its performance?
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    Regards
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    To get an answer to your questions you have to post some informations about your system:
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  • Need to Improve  pefromance for select statement using MSEG table

    Hi all,
    We are using a select statement using MSEG table
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    Please see the history below.;
    1) Previously this program was using SELECT-ENDSELECT statement inside the loop i.e.
    LOOP AT I_MCHB.
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                 MJAHR
                 ZEILE INTO (MSEG-MBLNR,MSEG-MJAHR,MSEG-ZEILE)
                 UP TO 1 ROWS
                 FROM MSEG
                WHERE CHARG EQ I_MCHB-CHARG
                 AND  MATNR EQ I_MCHB-MATNR
                 AND  WERKS EQ I_MCHB-WERKS
                 AND  LGORT EQ I_MCHB-LGORT.
          ENDSELECT.
    Endloop.
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    2)The above statement was replaced by ALL ENTRIES to remove the SELECT-ENDSELECT from the loop.
    ***GET MATERIAL DOC NUMBER AND FINANCIAL YEAR DETAILS FROM MSEG TABLE
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               MATNR
               CHARG
               WERKS
               LGORT
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                   FROM   MSEG
                   FOR ALL ENTRIES IN I_MCHB
                   WHERE CHARG EQ I_MCHB-CHARG
                   AND   MATNR EQ I_MCHB-MATNR
                   AND   WERKS EQ I_MCHB-WERKS
                   AND   LGORT EQ I_MCHB-LGORT.
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               ZEILE
               MATNR
               CHARG
               WERKS
               LGORT
                   INTO TABLE  I_MSEG
                   FROM   MSEG
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    MSEG~M.
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    many many thanks
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    The benchmark should be the join, and I can not see how any of your solutions can be faster than the join
    SELECT   .....
                  INTO TABLE  ....
                  UP TO 1 ROWS
                  FROM mchb as a
                  INNER JOIN mseg as b
                  ON    amatnr EQ bmatnr
                  AND  awerks  EQ bwerks
                  AND  algort    EQ blgort
                  And   acharg  EQ bcharg
                  WHERE a~ ....
    The WHERE condition must come from the select on MCHB, the field list from the total results
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    Siegfried
    Edited by: Siegfried Boes  on Dec 20, 2007 2:28 PM

  • 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.
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    Thanks in advance,
    Ramesh.

    Hi,
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    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.
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  • "Check Statistics" in the Performance tab. How to see SELECT statement?

    Hi,
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    Would you happen to know how to see the SELECT statements that the "Check Statistics" command executes as mentioned in the posting below?
    Thanks
    ====================================
    When you hit the Check Statistics tab, it isn't just the fact tables that are checked, but also all master data tables for all the InfoObjects (characteristics) that are in the cubes dimensions.
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    SELECT
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    M.INSERTS, M.UPDATES, M.DELETES, M.TRUNCATED
    FROM
    USER_TABLES T LEFT OUTER JOIN USER_TAB_MODIFICATIONS M ON T.TABLE_NAME = M.TABLE_NAME
    WHERE
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    In looking at some of the results in 7.0, I'm not sure that the 30 day check is being doen as it was in 3.5. This is one area SAP retooled quite a bit.
    Yellow only indicates that there could be a problem. You could have stale DB stats on a table, but if they don't cause the DB optimizer to choose a poor execution plan, then it has no impact.
    Good DB stats are vital to query performance and old stats could be responsible for poor performance. I'm just syaing that the Statistics check yellow light status is not a definitive indicator.
    If your DBA has BRCONNECT running daily, you really should not have to worry about stats collection on the BW side except in cases immediately after large loads /deletes, and the nightly BRCONNECT hasn't run.
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    Best bet is to use ST04 to get Explain Plans of a poor running InfoCube query and then it can be reviewed to see where the time is being spent and whether stats ate a culprit.

    Hi,
    Thanks, this is what I came up with:
    st05,
    check SQL Trace, Activate Trace
    Now, in Rsa1
    on Cube, Cube1,
    Manage, Performance tab, Check Statistics
    Again, back to st05
    Deactivate Trace
    then click on Displace Trace
    Now, in the trace display, after scanning through  the output,
    “ … how do I see the SELECT statements that the "Check Statistics" command executes …”
    I will appreciate your help.

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