Department performance dependent bonus

Hi,
    We have an On premise SAP system. My company has been giving yearly bonuses to managers which are dependent on company and department/line of business performance via excels so far. Employees get their bonus through the usual MSS.
Can anyone please direct me to SAP best practices on how this can be implemented? It is not a simple Matrix Guideline based on dimensions as it involves multiplying performance dependent factors of org units. SF has this functionality but I could not find anything about it for the on-prem system.
Prakash

Hi Dark,
1. Try to make modifications of warranty popup screen  using user exit BG000003 : subscreen for Changing Warranty Check Result
regards
pushpa

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    Posted via the Community Bridge
    "galmcrantz" wrote in message news:[email protected]...
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    here's our test scenarios:
    -Currently testing Office 2010 Pro Trial version on WIN XP SP3. (We have found similar results using Office 2007 with Win7 or XP).
    -Word Option Deselected/DISABLED: "Update Automatic Links at Open"
    -The Word Doc contains 100 linked Excel tables and is 130K in size (DOCX).
    -Each link points to the same 10x10 cell range in one Excel Workbook located in same directory as the Word Doc, although other tests using separate directories produced similar results.
    -The Excel Links were inserted into Word via Paste Special/Paste Link/MS Excel Worksheet Object.
    -The workbook (XLSX) is 15K in size.
    -All Links are set for "Manual" update, our testing showed no difference if links are set to "Auto".
    -Again, Word is set to NOT update Automatic links when the document is opened.
    -Results shown below are for local hard drive test.
    -Network response times are slightly greater on 100mb LAN
    -Word is completely restarted prior to each test to make sure there's no application caching involved.
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    1. Open the Word Doc from Word with Excel closed - 175 seconds (Excel appears to be opened and closed once per link)
    2. Open the Word Doc from Word with Excel open & workbook closed - 33 seconds (Excel appears to be accessed once per link)
    3. Open the Word Doc from Word with the linked workbook already open - 7 seconds (Excel appears to be accessed once per link)
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  • Regarding Performance tunning...

    HI Experts,
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    what is the measure we considered for performance check.
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    i checked my program in t-code SE30, and it is showing almost
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    Regard,
    vijay chavan

    Hi
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    SQL Trace transaction ST05
    Extended Program Check (SLIN)
    Code Inspector ( SCI)
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  • Tools in Performance Tunning

    What are the tools in performance Tunning in ABAP/4
    Thanks  Regards,
    Kumar

    Hi kumar,
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    regards,
    keerthi

  • BOM Performance Analysis using SAT or SE30 t-code?

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  • Performance Analysis Notes

    Hi,
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    Thanks...

    Hi, this may help you.
    1) Dont use nested select statements
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    https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/5d0db4c9-0e01-0010-b68f-9b1408d5f234
    ABAP performance depends upon various factors and in devicded in three parts:
    1. Database
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    3. System
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    also if u find runtime of parts of codes then use :
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    SET RUN TIME ANALYZER ON.
    *To turn runtim analysis off within ABAP code insert the following code
    SET RUN TIME ANALYZER OFF.
    Always check the driver internal tables is not empty, while using FOR ALL ENTRIES
    Avoid for all entries in JOINS
    Try to avoid joins and use FOR ALL ENTRIES.
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    Avoid using Select *.
    Avoid having multiple Selects from the same table in the same object.
    Try to minimize the number of variables to save memory.
    The sequence of fields in 'where clause' must be as per primary/secondary index ( if any)
    Avoid creation of index as far as possible
    Avoid operators like <>, > , < & like % in where clause conditions
    Avoid select/select single statements in loops.
    Try to use 'binary search' in READ internal table. Ensure table is sorted before using BINARY SEARCH.
    Avoid using aggregate functions (SUM, MAX etc) in selects ( GROUP BY , HAVING,)
    Avoid using ORDER BY in selects
    Avoid Nested Selects
    Avoid Nested Loops of Internal Tables
    Try to use FIELD SYMBOLS.
    Try to avoid into Corresponding Fields of
    Avoid using Select Distinct, Use DELETE ADJACENT
    Check the following Links
    Re: performance tuning
    Re: Performance tuning of program
    http://www.sapgenie.com/abap/performance.htm
    http://www.thespot4sap.com/Articles/SAPABAPPerformanceTuning_PerformanceAnalysisTools.asp
    check the below link
    http://www.sap-img.com/abap/performance-tuning-for-data-selection-statement.htm
    See the following link if it's any help:
    http://www.thespot4sap.com/Articles/SAPABAPPerformanceTuning_PerformanceAnalysisTools.asp
    Check also http://service.sap.com/performance
    and
    books like
    http://www.sap-press.com/product.cfm?account=&product=H951
    http://www.sap-press.com/product.cfm?account=&product=H973
    http://www.sap-img.com/abap/more-than-100-abap-interview-faqs.htm
    http://www.thespot4sap.com/Articles/SAPABAPPerformanceTuning_PerformanceAnalysisTools.asp
    Performance tuning for Data Selection Statement
    http://www.sap-img.com/abap/performance-tuning-for-data-selection-statement.htm
    Debugger
    http://help.sap.com/saphelp_47x200/helpdata/en/c6/617ca9e68c11d2b2ab080009b43351/content.htm
    http://www.cba.nau.edu/haney-j/CIS497/Assignments/Debugging.doc
    http://help.sap.com/saphelp_erp2005/helpdata/en/b3/d322540c3beb4ba53795784eebb680/frameset.htm
    Run Time Analyser
    http://help.sap.com/saphelp_47x200/helpdata/en/c6/617cafe68c11d2b2ab080009b43351/content.htm
    SQL trace
    http://help.sap.com/saphelp_47x200/helpdata/en/d1/801f7c454211d189710000e8322d00/content.htm
    CATT - Computer Aided Testing Too
    http://help.sap.com/saphelp_47x200/helpdata/en/b3/410b37233f7c6fe10000009b38f936/frameset.htm
    Test Workbench
    http://help.sap.com/saphelp_47x200/helpdata/en/a8/157235d0fa8742e10000009b38f889/frameset.htm
    Coverage Analyser
    http://help.sap.com/saphelp_47x200/helpdata/en/c7/af9a79061a11d4b3d4080009b43351/content.htm
    Runtime Monitor
    http://help.sap.com/saphelp_47x200/helpdata/en/b5/fa121cc15911d5993d00508b6b8b11/content.htm
    Memory Inspector
    http://help.sap.com/saphelp_47x200/helpdata/en/a2/e5fc84cc87964cb2c29f584152d74e/content.htm
    ECATT - Extended Computer Aided testing tool.
    http://help.sap.com/saphelp_47x200/helpdata/en/20/e81c3b84e65e7be10000000a11402f/frameset.htm
    Just refer to these links...
    performance
    Performance
    Performance Guide
    performance issues...
    Performance Tuning
    Performance issues
    performance tuning
    performance tuning
    You can go to the transaction SE30 to have the runtime analysis of your program.Also try the transaction SCI , which is SAP Code Inspector.
    1 Always check the driver internal tables is not empty, while using FOR ALL ENTRIES
    2 Avoid for all entries in JOINS
    3 Try to avoid joins and use FOR ALL ENTRIES.
    4 Try to restrict the joins to 1 level only ie only for 2 tables
    5 Avoid using Select *.
    6 Avoid having multiple Selects from the same table in the same object.
    7 Try to minimize the number of variables to save memory.
    8 The sequence of fields in 'where clause' must be as per primary/secondary index ( if any)
    9 Avoid creation of index as far as possible
    10 Avoid operators like <>, > , < & like % in where clause conditions
    11 Avoid select/select single statements in loops.
    12 Try to use 'binary search' in READ internal table. Ensure table is sorted before using BINARY SEARCH.
    13 Avoid using aggregate functions (SUM, MAX etc) in selects ( GROUP BY , HAVING,)
    14 Avoid using ORDER BY in selects
    15 Avoid Nested Selects
    16 Avoid Nested Loops of Internal Tables
    17 Try to use FIELD SYMBOLS.
    18 Try to avoid into Corresponding Fields of
    19 Avoid using Select Distinct, Use DELETE ADJACENT.
    Regards
    Madhu

  • Function Based Indexes - negative performance

    Has anyone run across any cases where they have had issues with Function Based Indexes negatively impacting performance??
    We are trying to use function based indexes in 9i (NLS_SORT=GENERIC_BASELETTER) and 10g (NLS_SORT=BINARY_CI) for case insensitivity.
    We thought this was a decent solution until recently when testing with larger datasets. Any info is appreciated.
    Thanks,

    Just to clarify rreynoldson's first point:
    All indexes will negatively impact inserts. Indexes, including function-based indexes, may or may not improve update and delete performance depending on whether the overhead of maintaining the index outweighs the benefit of being able to use the index to find the row(s) to update relatively quickly.
    For user564260:
    Assuming those parameters are set, make sure that you've gathered statistics on the function based index. If that doesn't resolve the problem, can you post a small test case that demonstrates the problem where you
    - Create the table
    - Create the indexes
    - Populate it with data
    - Run the query that you'd expect to use the FBI
    - Post the explain plan
    that would help us immensely.
    Justin

  • Performance analysis

    Hello All,
    I have been asigned to improve my system performance,
    as Initial analysis I found that there were so many loops in our project, and there were so many routines involved infact in every update rules,
    Iam not that much good in ABAP, hope you understand my problem, I need some steps how to analyse the loads and find a way how to improve my system performance.
    Suggest some important performance issues while writing ABAP code so that I can check in my routines.
    Regards,
    Pavan.

    Hi.......
    Look there r many factores...........like Query performance,Load performance............
    Now Load performance depends on the overall System performance......
    Now if u r using Routines..............1
    1)then u should try to avoid nested Loops...........also we shoud'nt use many Loops .......
    2) using innerjoin is a very bad programming practice.
    Check this ......
    http://www.sap-img.com/abap/performance-tuning-for-data-selection-statement.htm
    Query Performance Improvement Tools
    BW Performance Tuning and Analysis:
    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
    https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/4c0ab590-0201-0010-bd9a-8332d8b4f09c
    Data Load Performance:
    https://www.sdn.sap.com/irj/servlet/prt/portal/prtroot/docs/library/uuid/3a699d90-0201-0010-bc99-d5c0e3a2c87b
    To improve query performance..............
    1) Create aggregates
    2)Create partitions
    3) Limited use of Navigational attributes.........
    4) Create index(it will effect load performance)
    5) Compression........
    Regards,
    Debjani.....

  • Performance analyzation

    Hi every body,
                     Could any one explain me the following things regarding ABAP RUN TIME ANALYSIS..
    1. what can we analyze by checking Tcode SE30.
    2. what is abap load  and what is database load and what is system load there?
    3. For a good performance of a ABAP program, what should be the abap load and data base load?
    4. If database load is more what to do to improve performance and if ABAP load is more what to do to improve performance?
              thanks in advance,
               santosh.

    Hi
    Tools for Performance Analysis
    Run time analysis transaction SE30 :This transaction gives all the analysis of an ABAP program with respect to the database and the non-database processing. 
    SQL Trace transaction ST05: The trace list has many lines that are not related to the SELECT statement in the ABAP program. This is because the execution of any ABAP program requires additional administrative SQL calls. To restrict the list output, use the filter introducing the trace list.
    The trace list contains different SQL statements simultaneously related to the one SELECT statement in the ABAP program. This is because the R/3 Database Interface - a sophisticated component of the R/3 Application Server - maps every Open SQL statement to one or a series of physical database calls and brings it to execution. This mapping, crucial to R/3s performance, depends on the particular call and database system. For example, the SELECT-ENDSELECT loop on a particular database table of the ABAP program would be mapped to a sequence PREPARE-OPEN-FETCH of physical calls in an Oracle environment.
    The WHERE clause in the trace list's SQL statement is different from the WHERE clause in the ABAP statement. This is because in an R/3 system, a client is a self-contained unit with separate master records and its own set of table data (in commercial, organizational, and technical terms). With ABAP, every Open SQL statement automatically executes within the correct client environment. For this reason, a condition with the actual client code is added to every WHERE clause if a client field is a component of the searched table.
    To see a statement's execution plan, just position the cursor on the PREPARE statement and choose Explain SQL. A detailed explanation of the execution plan depends on the database system in use.
    Extended Program Check
    This can be called in through transaction SE38 or through transaction SLIN. This indicates possible problems that may cause performance problems.
    Code Inspector (SCI)
    You can call the Code Inspector from the ABAP Editor (SE38), the Function Builder (SE37), the Class Builder (SE24), or as a separate transaction (SCI).
    The Code Inspector indicates possible problems. However, note that, especially with performance issues: There is no rule without exception. If a program passes an inspection, it does not necessarily mean that this program will have no performance problems.
    the percentage of LOAD
    The percentage across each of the areas ABAP/ Database/System shows the percentage of total time used for those areas and load on these areas while running the program . The lesser the database load faster the program runs.
    Ways of Performance Tuning
    Ways of Performance Tuning
    1.     Selection Criteria
    2.     Select Statements
    •     Select Queries
    •     SQL Interface
    •     Aggregate Functions
    •     For all Entries
    Select Over more than one internal table
    Selection Criteria
    1.     Restrict the data to the selection criteria itself, rather than filtering it out using the ABAP code using CHECK statement. 
    2.     Select with selection list.
    SELECT * FROM SBOOK INTO SBOOK_WA.
      CHECK: SBOOK_WA-CARRID = 'LH' AND
             SBOOK_WA-CONNID = '0400'.
    ENDSELECT.
    The above code can be much more optimized by the code written below which avoids CHECK, selects with selection list
    SELECT  CARRID CONNID FLDATE BOOKID FROM SBOOK INTO TABLE T_SBOOK
      WHERE SBOOK_WA-CARRID = 'LH' AND
                  SBOOK_WA-CONNID = '0400'.
    Select Statements   Select Queries
    1.     Avoid nested selects
    SELECT * FROM EKKO INTO EKKO_WA.
      SELECT * FROM EKAN INTO EKAN_WA
          WHERE EBELN = EKKO_WA-EBELN.
      ENDSELECT.
    ENDSELECT.
    The above code can be much more optimized by the code written below.
    SELECT PF1 PF2 FF3 FF4 INTO TABLE ITAB
        FROM EKKO AS P INNER JOIN EKAN AS F
          ON PEBELN = FEBELN.
    Note: A simple SELECT loop is a single database access whose result is passed to the ABAP program line by line. Nested SELECT loops mean that the number of accesses in the inner loop is multiplied by the number of accesses in the outer loop. One should therefore use nested SELECT loops only if the selection in the outer loop contains very few lines or the outer loop is a SELECT SINGLE statement.
    2.     Select all the records in a single shot using into table clause of select statement rather than to use Append statements.
    SELECT * FROM SBOOK INTO SBOOK_WA.
      CHECK: SBOOK_WA-CARRID = 'LH' AND
             SBOOK_WA-CONNID = '0400'.
    ENDSELECT.
    The above code can be much more optimized by the code written below which avoids CHECK, selects with selection list and puts the data in one shot using into table
    SELECT  CARRID CONNID FLDATE BOOKID FROM SBOOK INTO TABLE T_SBOOK
      WHERE SBOOK_WA-CARRID = 'LH' AND
                  SBOOK_WA-CONNID = '0400'.
    3.     When a base table has multiple indices, the where clause should be in the order of the index, either a primary or a secondary index.
    To choose an index, the optimizer checks the field names specified in the where clause and then uses an index that has the same order of the fields. In certain scenarios, it is advisable to check whether a new index can speed up the performance of a program. This will come handy in programs that access data from the finance tables.
    4.     For testing existence, use Select.. Up to 1 rows statement instead of a Select-Endselect-loop with an Exit. 
    SELECT * FROM SBOOK INTO SBOOK_WA
      UP TO 1 ROWS
      WHERE CARRID = 'LH'.
    ENDSELECT.
    The above code is more optimized as compared to the code mentioned below for testing existence of a record.
    SELECT * FROM SBOOK INTO SBOOK_WA
        WHERE CARRID = 'LH'.
      EXIT.
    ENDSELECT.
    5.     Use Select Single if all primary key fields are supplied in the Where condition .
    If all primary key fields are supplied in the Where conditions you can even use Select Single.
    Select Single requires one communication with the database system, whereas Select-Endselect needs two.
    Select Statements SQL Interface
    1.     Use column updates instead of single-row updates
    to update your database tables.
    SELECT * FROM SFLIGHT INTO SFLIGHT_WA.
      SFLIGHT_WA-SEATSOCC =
        SFLIGHT_WA-SEATSOCC - 1.
      UPDATE SFLIGHT FROM SFLIGHT_WA.
    ENDSELECT.
    The above mentioned code can be more optimized by using the following code
    UPDATE SFLIGHT
           SET SEATSOCC = SEATSOCC - 1.
    2.     For all frequently used Select statements, try to use an index.
    SELECT * FROM SBOOK CLIENT SPECIFIED INTO SBOOK_WA
      WHERE CARRID = 'LH'
        AND CONNID = '0400'.
    ENDSELECT.
    The above mentioned code can be more optimized by using the following code
    SELECT * FROM SBOOK CLIENT SPECIFIED INTO SBOOK_WA
      WHERE MANDT IN ( SELECT MANDT FROM T000 )
        AND CARRID = 'LH'
        AND CONNID = '0400'.
    ENDSELECT.
    3.     Using buffered tables improves the performance considerably.
    Bypassing the buffer increases the network considerably
    SELECT SINGLE * FROM T100 INTO T100_WA
      BYPASSING BUFFER
      WHERE     SPRSL = 'D'
            AND ARBGB = '00'
            AND MSGNR = '999'.
    The above mentioned code can be more optimized by using the following code
    SELECT SINGLE * FROM T100  INTO T100_WA
      WHERE     SPRSL = 'D'
            AND ARBGB = '00'
            AND MSGNR = '999'.
    Select Statements  Aggregate Functions
    •     If you want to find the maximum, minimum, sum and average value or the count of a database column, use a select list with aggregate functions instead of computing the aggregates yourself.
    Some of the Aggregate functions allowed in SAP are  MAX, MIN, AVG, SUM, COUNT, COUNT( * )
    Consider the following extract.
                Maxno = 0.
                Select * from zflight where airln = ‘LF’ and cntry = ‘IN’.
                 Check zflight-fligh > maxno.
                 Maxno = zflight-fligh.
                Endselect.
    The  above mentioned code can be much more optimized by using the following code.
    Select max( fligh ) from zflight into maxno where airln = ‘LF’ and cntry = ‘IN’.
    Select Statements  For All Entries
    •     The for all entries creates a where clause, where all the entries in the driver table are combined with OR. If the number of entries in the driver table is larger than rsdb/max_blocking_factor, several similar SQL statements are executed to limit the length of the WHERE clause.
         The plus
    •     Large amount of data
    •     Mixing processing and reading of data
    •     Fast internal reprocessing of data
    •     Fast
         The Minus
    •     Difficult to program/understand
    •     Memory could be critical (use FREE or PACKAGE size)
    Points to be must considered FOR ALL ENTRIES
    •     Check that data is present in the driver table
    •     Sorting the driver table
    •     Removing duplicates from the driver table
    Consider the following piece of extract
              Loop at int_cntry.
      Select single * from zfligh into int_fligh
      where cntry = int_cntry-cntry.
      Append int_fligh.
                          Endloop.
    The above mentioned can be more optimized by using the following code.
    Sort int_cntry by cntry.
    Delete adjacent duplicates from int_cntry.
    If NOT int_cntry[] is INITIAL.
                Select * from zfligh appending table int_fligh
                For all entries in int_cntry
                Where cntry = int_cntry-cntry.
    Endif.
    Select Statements Select Over more than one Internal table
    1.     Its better to use a views instead of nested Select statements.
    SELECT * FROM DD01L INTO DD01L_WA
      WHERE DOMNAME LIKE 'CHAR%'
            AND AS4LOCAL = 'A'.
      SELECT SINGLE * FROM DD01T INTO DD01T_WA
        WHERE   DOMNAME    = DD01L_WA-DOMNAME
            AND AS4LOCAL   = 'A'
            AND AS4VERS    = DD01L_WA-AS4VERS
            AND DDLANGUAGE = SY-LANGU.
    ENDSELECT.
    The above code can be more optimized by extracting all the data from view DD01V_WA
    SELECT * FROM DD01V INTO  DD01V_WA
      WHERE DOMNAME LIKE 'CHAR%'
            AND DDLANGUAGE = SY-LANGU.
    ENDSELECT
    2.     To read data from several logically connected tables use a join instead of nested Select statements. Joins are preferred only if all the primary key are available in WHERE clause for the tables that are joined. If the primary keys are not provided in join the Joining of tables itself takes time.
    SELECT * FROM EKKO INTO EKKO_WA.
      SELECT * FROM EKAN INTO EKAN_WA
          WHERE EBELN = EKKO_WA-EBELN.
      ENDSELECT.
    ENDSELECT.
    The above code can be much more optimized by the code written below.
    SELECT PF1 PF2 FF3 FF4 INTO TABLE ITAB
        FROM EKKO AS P INNER JOIN EKAN AS F
          ON PEBELN = FEBELN.
    3.     Instead of using nested Select loops it is often better to use subqueries.
    SELECT * FROM SPFLI
      INTO TABLE T_SPFLI
      WHERE CITYFROM = 'FRANKFURT'
        AND CITYTO = 'NEW YORK'.
    SELECT * FROM SFLIGHT AS F
        INTO SFLIGHT_WA
        FOR ALL ENTRIES IN T_SPFLI
        WHERE SEATSOCC -FLAG = 'X'.
      ENDIF.
    ENDLOOP.
    The above code works faster as compared to
    LOOP AT ITAB INTO WA.
      I = SY-TABIX MOD 2.
      IF I = 0.
        WA-FLAG = 'X'.
        MODIFY ITAB FROM WA.
      ENDIF.
    ENDLOOP.
    8.    If collect semantics is required, it is always better to use to COLLECT rather than READ BINARY and then ADD.
    LOOP AT ITAB1 INTO WA1.
      READ TABLE ITAB2 INTO WA2 WITH KEY K = WA1-K BINARY SEARCH.
      IF SY-SUBRC = 0.
        ADD: WA1-VAL1 TO WA2-VAL1,
             WA1-VAL2 TO WA2-VAL2.
        MODIFY ITAB2 FROM WA2 INDEX SY-TABIX TRANSPORTING VAL1 VAL2.
      ELSE.
        INSERT WA1 INTO ITAB2 INDEX SY-TABIX.
      ENDIF.
    ENDLOOP.
    The above code uses BINARY SEARCH for collect semantics. READ BINARY runs in O( log2(n) ) time. The above piece of code can be more optimized by
    LOOP AT ITAB1 INTO WA.
      COLLECT WA INTO ITAB2.
    ENDLOOP.
    SORT ITAB2 BY K.
    COLLECT, however, uses a hash algorithm and is therefore independent
    of the number of entries (i.e. O(1)) .
    9.    "APPEND LINES OF itab1 TO itab2" accelerates the task of appending a table to another table considerably as compared to “ LOOP-APPEND-ENDLOOP.”
    APPEND LINES OF ITAB1 TO ITAB2.
    This is more optimized as compared to
    LOOP AT ITAB1 INTO WA.
      APPEND WA TO ITAB2.
    ENDLOOP.
    10.   “DELETE ADJACENT DUPLICATES“ accelerates the task of deleting duplicate entries considerably as compared to “ READ-LOOP-DELETE-ENDLOOP”.
    DELETE ADJACENT DUPLICATES FROM ITAB COMPARING K.
    This is much more optimized as compared to
    READ TABLE ITAB INDEX 1 INTO PREV_LINE.
    LOOP AT ITAB FROM 2 INTO WA.
      IF WA = PREV_LINE.
        DELETE ITAB.
      ELSE.
        PREV_LINE = WA.
      ENDIF.
    ENDLOOP.
    11.   "DELETE itab FROM ... TO ..." accelerates the task of deleting a sequence of lines considerably as compared to “  DO -DELETE-ENDDO”.
    DELETE ITAB FROM 450 TO 550.
    This is much more optimized as compared to
    DO 101 TIMES.
      DELETE ITAB INDEX 450.
    ENDDO.
    12.   Copying internal tables by using “ITAB2[ ] = ITAB1[ ]” as compared to “LOOP-APPEND-ENDLOOP”.
    ITAB2[] = ITAB1[].
    This is much more optimized as compared to
    REFRESH ITAB2.
    LOOP AT ITAB1 INTO WA.
      APPEND WA TO ITAB2.
    ENDLOOP.
    13.   Specify the sort key as restrictively as possible to run the program faster.
    “SORT ITAB BY K.” makes the program runs faster as compared to “SORT ITAB.”
    Internal Tables         contd…
    Hashed and Sorted tables
    1.     For single read access hashed tables are more optimized as compared to sorted tables.
    2.      For partial sequential access sorted tables are more optimized as compared to hashed tables
    Hashed And Sorted Tables
    Point # 1
    Consider the following example where HTAB is a hashed table and STAB is a sorted table
    DO 250 TIMES.
      N = 4 * SY-INDEX.
      READ TABLE HTAB INTO WA WITH TABLE KEY K = N.
      IF SY-SUBRC = 0.
      ENDIF.
    ENDDO.
    This runs faster for single read access as compared to the following same code for sorted table
    DO 250 TIMES.
      N = 4 * SY-INDEX.
      READ TABLE STAB INTO WA WITH TABLE KEY K = N.
      IF SY-SUBRC = 0.
      ENDIF.
    ENDDO.
    Point # 2
    Similarly for Partial Sequential access the STAB runs faster as compared to HTAB
    LOOP AT STAB INTO WA WHERE K = SUBKEY.
    ENDLOOP.
    This runs faster as compared to
    LOOP AT HTAB INTO WA WHERE K = SUBKEY.
    ENDLOOP.

  • Performance of the transaction RBT_ENH_vb7

    Is there any standard report through which i can know that i have to
    enter that much of rebate agreements to run transaction RBT_ENH_VB7 for
    April-2011 (We are running RBT_ENH_VB7 tocde at the end of the every
    month).
    That's why i want to check how to exclude those rebate agreements
    initially which are not valid anymore. Now system fetch all the rebate
    agreement even not valid anymore and how to
    exclude invalid agreement at the first beginning?
    Could you please suggest some report or program through which we can
    know that.
    Regards,
    Chirag

    1.Run time analysis transaction SE30
    This transaction gives all the analysis of an ABAP program with respect to the database and the non-database processing.
    2.SQL Trace transaction ST05
    The trace list has many lines that are not related to the SELECT statement in the ABAP program. This is because the execution of any ABAP program requires additional administrative SQL calls. To restrict the list output, use the filter introducing the trace list.
    The trace list contains different SQL statements simultaneously related to the one SELECT statement in the ABAP program. This is because the R/3 Database Interface - a sophisticated component of the R/3 Application Server - maps every Open SQL statement to one or a series of physical database calls and brings it to execution. This mapping, crucial to R/3s performance, depends on the particular call and database system. For example, the SELECT-ENDSELECT loop on the SPFLI table in our test program is mapped to a sequence PREPARE-OPEN-FETCH of physical calls in an Oracle environment.
    The WHERE clause in the trace list's SQL statement is different from the WHERE clause in the ABAP statement. This is because in an R/3 system, a client is a self-contained unit with separate master records and its own set of table data (in commercial, organizational, and technical terms). With ABAP, every Open SQL statement automatically executes within the correct client environment. For this reason, a condition with the actual client code is added to every WHERE clause if a client field is a component of the searched table.
    To see a statement's execution plan, just position the cursor on the PREPARE statement and choose Explain SQL. A detailed explanation of the execution plan depends on the database system in use.
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