Performance Tuning on a Select Query

Hi,
We have a select statement as mentioned below.
      SELECT loobj1 gpart vkont proid tdate lotyp lockr
      INTO TABLE tb_dfkklocks
         FROM dfkklocks
         FOR ALL ENTRIES IN tb_fkkvkp
         WHERE
        lotyp = '02'
         AND   proid = '01'
         AND   lockr >= '0'
         AND   lockr <= '9'
         AND   gpart = tb_fkkvkp-gpart
         AND   vkont = tb_fkkvkp-vkont.
We have Primary key as shown below.
CLIENT
LOOBJ1
LOTYP
PROID
LOCKR
FDATE
TDATE
GPART
VKONT
We have a secondary index only on TDATE. What can be the ideal select stement to improve the performance?
Regards,
Lijo Joseph

Hi Lijo,
Couple of pointers from my end.
1). Try avoiding a FOR ALL ENTRIES if the base table is huge. Instead use a array fetch and pick up more data instead of trying to restrict the data using a FOR ALL ENTRIES as this does a LOOP on the database while selecting the data.
So i would suggest not use FOR ALL ENTRIES if the base table is huge. So analyse before using a select query.
2). It is actually very difficult to mention which option is better. I would say that it all depends on the scenario. What amount of data is to be read, from which table it is being read, what kind of processing is required on database,..... and many more analysis goes to write a an efficient select statement.
3). If i am not wrong i think if you are using a FOR ALL ENTRIES and dont specify the key completely then there is no gaurentee that you fetch all the unique records. The system will compare all the character fields as a KEY field and it will not fetch all the records. So while using a FOR ALL ENTRIES its recommended to use all the key fields.
4). If you would like to really spend time and work on a efficient select statement then try using the tcode ST05 --> Select the button EXPLAIN SQL REQUEST.
type in your select query and see what is the cost of the select statement fired on the database. This will help you to select the best statement. This is a very useful tool if we have complex select statements.
Hope this info is helpful.
Cheers
VJ
Message was edited by: Vijayendra Rao

Similar Messages

Performance tuning fro a select stmnt consisting of View and DB Table

Hi Gurus ,
I have a select query which is consuming a lot of time for execution. Well it selects details from a custom view ZV_MKPF_MSEG (join of MKPF and MSEG) and table MARA as following
SELECT GI~BUKRS                                   "company code
         GI~WERKS                                    "Plant
         GI~BWART                                    "Movement Type
         GI~BUDAT                                    "Posting Date
         GI~MBLNR                                    "Mat Doc Number
         GI~ZEILE                                    "Item
         GI~KOSTL                                    "cost center
         GI~MENGE                                    "Quantity
         GI~SHKZG                                    "Debit credit ind
         MAMATKL MAMATNR MA~MEINS
         INTO CORRESPONDING FIELDS OF TABLE PT_GITAB
         FROM ZV_MKPF_MSEG AS GI INNER JOIN MARA AS MA
              ON MAMATNR = GIMATNR
         WHERE GI~BUKRS IN S_BUKRS AND
               GI~WERKS IN S_WERKS AND
               GI~BUDAT IN S_BUDAT AND
               GI~BWART IN S_BWART AND
               GI~MBLNR IN S_MBLNR AND
               MA~MATKL IN S_MATKL
         ORDER BY GIMBLNR GIZEILE.
how we should manipulate this query in order to increase the perfromance ? And could anybody give some idea about the use of indexes for a table since both MSEG and MKPF tables have indexes attached.
Thanx
Kylie
Edited by: kylietisha on Jun 7, 2010 5:01 PM

Moderator message - Please see Please Read before Posting in the Performance and Tuning Forum before posting - post locked
Rob

Performance issue with the Select query

Hi,
I have an issue with the performance with a seclet query.
In table AFRU - AUFNR is not a key field.
So i had selected the low and high values into s_reuck and used it in Where condition.
Still i have an issue with the Performance.
SELECT SINGLE RUECK
RMZHL
IEDD
AUFNR
STOKZ
STZHL
FROM AFRU INTO table t_AFRU
FOR ALL ENTRIES IN T_ZSCPRT100
WHERE RUECK IN S_RUECK AND
AUFNR = T_ZSCPRT100-AUFNR AND
STOKZ = SPACE AND
STZHL = 0.
I had also cheked by createing an index for AUFNR in the table AFRU...it does not help.
Is there anyway that we can declare Key field while declaring the Internal table....?
ANy suggestions to fix the performance issue is apprecaited!
Regards,
Kittu

Hi,
Thank you for your quick response!
Rui dantas, i have lill confusion...this is my code below :
data : t_zscprt type standard table of ty_zscprt,
       wa_zscprt type ty_zscprt.
types : BEGIN OF ty_zscprt100,
        aufnr type zscprt100-aufnr,
        posnr type zscprt100-posnr,
        ezclose type zscprt100-ezclose,
        serialnr type zscprt100-serialnr,
        lgort type zscprt100-lgort,
      END OF ty_zscprt100.
data : t_zscprt100 type standard table of ty_zscprt100,
       wa_zscprt100 type ty_zscprt100.
Types: begin of ty_afru,
            rueck type CO_RUECK,
            rmzhl type CO_RMZHL,
            iedd type RU_IEDD,
            aufnr type AUFNR,
            stokz type CO_STOKZ,
            stzhl type CO_STZHL,
         end of ty_afru.
data : t_afru type STANDARD TABLE OF ty_afru,
        WA_AFRU TYPE TY_AFRU.
SELECT AUFNR
        POSNR
        EZCLOSE
        SERIALNR
        LGORT
        FROM ZSCPRT100 INTO TABLE T_ZSCPRT100
        FOR ALL ENTRIES IN T_ZSCPRT
        WHERE   AUFNR = T_ZSCPRT-PRTNUM
        AND   SERIALNR IN S_SERIAL
        AND    LGORT   IN S_LGORT.
    IF sy-subrc <> 0.
       MESSAGE ID 'Z2' TYPE 'I' NUMBER '41'. "BDCG87
       stop."BDCG87
    ENDIF.
ENDIF.
SELECT    RUECK
              RMZHL
              IEDD
              AUFNR
              STOKZ
              STZHL
              FROM AFRU INTO TABLE T_AFRU
              FOR ALL ENTRIES IN T_ZSCPRT100
              WHERE RUECK IN S_RUECK     AND
                    AUFNR = T_ZSCPRT100-AUFNR AND
                    STOKZ = SPACE AND
                    STZHL = 0.
Using AUFNR, get AUFPL from AFKO
Using AUFPL, get RUECK from AFVC
Using RUEKC, read AFRU
In other words, one select joining AFKO <-> AFVC <-> AFRU should get what you want.
This is my select query, would you want me to write another select query to meet this criteria..
From AUFNR> I will get AUFPL from AFKO> BAsed on AUFPL I will get RUECK, based on RUEKC i need to read AFRU..but i need to select few field from AFRu based on AUFNR....
ANy suggestions wil be appreciated!
Regards
Kittu

Need help tuning on this select query

select a.exceptionid, c.sequencenumber, c.messagedelay,a.exceptioncode
from exceptiondetailview a, exceptionrecaltkey b, sequencerconfig c
where a.exceptionid = b.exceptionid
and a.transactiontype = c.transactiontype
and a.exceptionid in (
select exceptionid
from exceptionrecaltkey
where altkeyname = 'SequenceKey' and altkeyvalue like ('%[11968176]%'))
minus
select exceptionid
from exceptionrecaltkey
where altkeyname = 'SequenceFlowName'
and altkeyvalue <> 'APV_OUTBOUND')
and b.altkeyname = 'SequenceKey'
and c.sequenceflowname = 'APV_OUTBOUND'
and c.sequencenumber > ( decode(ASN, null, (select min(sequencenumber) from sequencerconfig where sequenceflowname = 'APV_OUTBOUND' and exceptioncode = a.exceptioncode),
(select sequencenumber from sequencerconfig where sequenceflowname = 'APV_OUTBOUND' and transactiontype = ASN and exceptioncode = a.exceptioncode) ) )
and a.status = 'New'

Hi,
Please try this ,
select a.exceptionid, c.sequencenumber, c.messagedelay,a.exceptioncode
from exceptiondetailview a, exceptionrecaltkey b, sequencerconfig c
where
exists a.exceptionid in (
select exceptionid
from exceptionrecaltkey
where altkeyname = 'SequenceKey' and altkeyvalue like ('%[11968176]%'))
and a.exceptionid = b.exceptionid
and a.transactiontype = c.transactiontype
minus
select exceptionid
from exceptionrecaltkey
where altkeyname = 'SequenceFlowName'
and altkeyvalue 'APV_OUTBOUND')
and b.altkeyname = 'SequenceKey'
and c.sequenceflowname = 'APV_OUTBOUND'
and c.sequencenumber > ( decode(ASN, null, (select min(sequencenumber) from sequencerconfig where sequenceflowname = 'APV_OUTBOUND' and exceptioncode = a.exceptioncode),
(select sequencenumber from sequencerconfig where sequenceflowname = 'APV_OUTBOUND' and transactiontype = ASN and exceptioncode = a.exceptioncode) ) )
and a.status = 'New'
REgards,
N.Senthil

Performance tuning needed for a query.

Hi all,
I am facing problem to extract data and insert into another table. I need to fetch part number from all_parts_already and then based on the result I need to extract place from all_parts and insert into all_parts_already.
Sample data in the tables:
table all_parts_already:
part part_desc technique company place
1 A Engine TVS B1
1 Av Engine TVS B2
1 Ab Engine TVS B3
2 Ah Engine TVS B3
2 Ap Engine TVS B2
table all_parts:
technique company place
Engine TVS B1
Kim TVS B2
Engine TVS B3
Engine TVS B4
XXXXX TVS B5
Engine TVS B6
for c1 in (select distinct parts from all_parts_already where
technique = 'Engine' and
Company = 'TVS' ) loop
     for c2 in (select distinct place from all_parts where
               technique = 'Engine' and
               Company ='TVS' and
               minus
               select distinct Place from all_parts_already where
               technique = 'Engine' and
               Company = 'TVS' and
               parts = c1.parts ) loop
               insert into all_parts_already (select c2.place,place_desc,c1.parts,c2.place from place_master where parts=c1.parts and place=c2.place);
     end loop;
end loop;
the data i am dealing with is in millions. One technique may have 1000 parts. One part may have 500 places. So the loop runs that many times creating the delay.
Please tell me how to move forward.I am getting the output i need but the time it takes is too much(goes on to days)
Thanks a lot
:)

Hi this is the Oracle Designer forum. You may be better asking over at one of the database/sql/plsql forums

Regarding to perform in select query

could any tell the select query in this piece of code would affect the performance of the programe
DATA: BEGIN OF OUTREC,
      BANKS LIKE BNKA-BANKS,
      BANKL LIKE BNKA-BANKL,
      BANKA LIKE BNKA-BANKA,
      PROVZ LIKE BNKA-PROVZ,   "Region (State, Province, County)
      BRNCH LIKE BNKA-BRNCH,
      STRAS LIKE BNKA-STRAS,
      ORT01 LIKE BNKA-ORT01,
      SWIFT LIKE BNKA-SWIFT,
END OF OUTREC.
OPEN DATASET P_OUTPUT FOR OUTPUT IN TEXT MODE.
IF SY-SUBRC NE 0. EXIT. ENDIF.
SELECT * FROM BNKA
         WHERE BANKS EQ P_BANKS
         AND   LOEVM NE 'X'
         AND   XPGRO NE 'X'
         ORDER BY BANKS BANKL.
PERFORM TRANSFER_DATA.
ENDSELECT.
CLOSE DATASET P_OUTPUT.
*&      Transfer the data to the output file
FORM TRANSFER_DATA.
OUTREC-BANKS = BNKA-BANKS.
OUTREC-BANKL = BNKA-BANKL.
OUTREC-BANKA = BNKA-BANKA.
OUTREC-PROVZ = BNKA-PROVZ.
OUTREC-BRNCH = BNKA-BRNCH.
OUTREC-STRAS = BNKA-STRAS.
OUTREC-ORT01 = BNKA-ORT01.
OUTREC-SWIFT = BNKA-SWIFT.
TRANSFER OUTREC TO P_OUTPUT.
ENDFORM.                               " READ_IN_DATA

Hi
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.
Points # 1/2
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
2.     Select all the records in a single shot using into table clause of select statement rather than to use Append statements.
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.
4.     For testing existence , use Select.. Up to 1 rows statement instead of a Select-Endselect-loop with an Exit.
5.     Use Select Single if all primary key fields are supplied in the Where condition .
Point # 1
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.
Point # 2
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'.
Point # 3
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.
Point # 4
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.
Point # 5
If all primary key fields are supplied in the Where condition you can even use Select Single.
Select Single requires one communication with the database system, whereas Select-Endselect needs two.
Select Statements           contd.. SQL Interface
1.     Use column updates instead of single-row updates
to update your database tables.
2.     For all frequently used Select statements, try to use an index.
3.     Using buffered tables improves the performance considerably.
Point # 1
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.
Point # 2
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.
Point # 3
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       contd           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    contdFor 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    contd Select Over more than one Internal table
1.     Its better to use a views instead of nested Select statements.
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.
3.     Instead of using nested Select loops it is often better to use subqueries.
Point # 1
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
Point # 2
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.
Point # 3
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 < F~SEATSMAX
      AND CARRID = T_SPFLI-CARRID
      AND CONNID = T_SPFLI-CONNID
      AND FLDATE BETWEEN '19990101' AND '19990331'.
ENDSELECT.
The above mentioned code can be even more optimized by using subqueries instead of for all entries.
SELECT * FROM SFLIGHT AS F INTO SFLIGHT_WA
    WHERE SEATSOCC < F~SEATSMAX
      AND EXISTS ( SELECT * FROM SPFLI
                     WHERE CARRID = F~CARRID
                       AND CONNID = F~CONNID
                       AND CITYFROM = 'FRANKFURT'
                       AND CITYTO = 'NEW YORK' )
      AND FLDATE BETWEEN '19990101' AND '19990331'.
ENDSELECT.
1.     Table operations should be done using explicit work areas rather than via header lines.
2.     Always try to use binary search instead of linear search. But dont forget to sort your internal table before that.
3.     A dynamic key access is slower than a static one, since the key specification must be evaluated at runtime.
4.     A binary search using secondary index takes considerably less time.
5.     LOOP ... WHERE is faster than LOOP/CHECK because LOOP ... WHERE evaluates the specified condition internally.
6.     Modifying selected components using MODIFY itab TRANSPORTING f1 f2.. accelerates the task of updating a line of an internal table.
Point # 2
READ TABLE ITAB INTO WA WITH KEY K = 'X BINARY SEARCH.
IS MUCH FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY K = 'X'.
If TAB has n entries, linear search runs in O( n ) time, whereas binary search takes only O( log2( n ) ).
Point # 3
READ TABLE ITAB INTO WA WITH KEY K = 'X'. IS FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY (NAME) = 'X'.
Point # 5
LOOP AT ITAB INTO WA WHERE K = 'X'.
ENDLOOP.
The above code is much faster than using
LOOP AT ITAB INTO WA.
CHECK WA-K = 'X'.
ENDLOOP.
Point # 6
WA-DATE = SY-DATUM.
MODIFY ITAB FROM WA INDEX 1 TRANSPORTING DATE.
The above code is more optimized as compared to
WA-DATE = SY-DATUM.
MODIFY ITAB FROM WA INDEX 1.
7.     Accessing the table entries directly in a "LOOP ... ASSIGNING ..." accelerates the task of updating a set of lines of an internal table considerably
8.    If collect semantics is required, it is always better to use to COLLECT rather than READ BINARY and then ADD.
9.    "APPEND LINES OF itab1 TO itab2" accelerates the task of appending a table to another table considerably as compared to LOOP-APPEND-ENDLOOP.
10.   DELETE ADJACENT DUPLICATES accelerates the task of deleting duplicate entries considerably as compared to READ-LOOP-DELETE-ENDLOOP.
11.   "DELETE itab FROM ... TO ..." accelerates the task of deleting a sequence of lines considerably as compared to DO -DELETE-ENDDO.
Point # 7
Modifying selected components only makes the program faster as compared to Modifying all lines completely.
e.g,
LOOP AT ITAB ASSIGNING <WA>.
I = SY-TABIX MOD 2.
IF I = 0.
    <WA>-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.
Point # 8
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)) .
Point # 9
APPEND LINES OF ITAB1 TO ITAB2.
This is more optimized as compared to
LOOP AT ITAB1 INTO WA.
APPEND WA TO ITAB2.
ENDLOOP.
Point # 10
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.
Point # 11
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.
13.   Specify the sort key as restrictively as possible to run the program faster.
Point # 12
ITAB2[] = ITAB1[].
This is much more optimized as compared to
REFRESH ITAB2.
LOOP AT ITAB1 INTO WA.
APPEND WA TO ITAB2.
ENDLOOP.
Point # 13
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 Problem in Select query

Hi,
I have performance Problem in following Select Query :
SELECT VBELN POSNR LFIMG VRKME VGBEL VGPOS
FROM LIPS INTO CORRESPONDING FIELDS OF TABLE GT_LIPS
   FOR ALL ENTRIES IN GT_EKPO1
   WHERE VGBEL = GT_EKPO1-EBELN
     AND VGPOS = GT_EKPO1-EBELP.
as per trace i have analysed that it is fetch the complete table scan from the LIPS table and table contants almost 3 lakh records.
Kindly Suggest what we can do to optimize this query.
Regards,
Harsh

types: begin of line,
          vbeln type lips-vbeln
          posnr type lips-posnr
          lfimg type lips-lfimg
         vrkme type lips-vrkme
         vgbel type lips- vgbel
         vgpos type lips-vgpos
         end of line.
data: itab type standard table of line,
         wa type line.
IF GT_EKPO1[] IS NOT INITIAL.
SELECT VBELN POSNR LFIMG VRKME VGBEL VGPOS
FROM LIPS INTO TABLE ITAB
FOR ALL ENTRIES IN GT_EKPO1
WHERE VGBEL = GT_EKPO1-EBELN
AND VGPOS = GT_EKPO1-EBELP.
ENDIF.

Select query performance improvement - Index on EDIDC table

Hi Experts,
I have a scenario where in I have to select data from the table EDIDC. The select query being used is given below.
SELECT docnum
          direct
          mestyp
          mescod
          rcvprn
          sndprn
          upddat
          updtim
INTO CORRESPONDING FIELDS OF TABLE t_edidc
FROM edidc
FOR ALL ENTRIES IN t_error_idoc
WHERE
upddat GE gv_date1 AND
upddat LE gv_date2 AND
updtim GE p_time AND
status EQ t_error_idoc-status.
As the volume of the data is very high, our client requested to put up some index or use an existing one to improve the performance of the data selection query.
Question:
4.    How do we identify the index to be used.
5.    On which fields should the indexing be done to improve the performance (if available indexes donu2019t cater to our case).
6.    What will be the impact on the table performance if we create a new index.
Regards ,
Raghav

Question:
1.    How do we identify the index to be used.
Generally the index is automatically selected by SAP (DB Optimizer ) ( You can still mention the index name in your select query by changing the syntax)
For your select Query the second Index will be called automatically by the Optimizer, ( Because the select query has u2018Updatu2019 , u2018uptimu2019 in the sequence before the u2018statusu2019 ) .
2.    On which fields should the indexing be done to improve the performance (if available indexes donu2019t cater to our case).
(Create a new Index with MANDT and the 4 fields which are in the where clause in sequence )
3.    What will be the impact on the table performance if we create a new index.
( Since the index which will be newly created is only the 4th index for the table, there shouldnu2019t be any side affects)
After creation of index , Check the change in performance of the current program and also some other programs which are having the select queries on EDIDC ( Various types of where clauses preferably ) to verify that the newly created index is not having the negative impact on the performance. Additionally, if possible , check if you can avoid into corresponding fields .
Regards ,
Seth

SELECT query takes too much time! Y?

Plz find my SELECT query below:
select w~mandt
wvbeln wposnr wmeins wmatnr wwerks wnetwr
wkwmeng wvrkme wmatwa wcharg w~pstyv
wposar wprodh wgrkor wantlf wkztlf wlprio
wvstel wroute wumvkz wumvkn wabgru wuntto
wawahr werdat werzet wfixmg wprctr wvpmat
wvpwrk wmvgr1 wmvgr2 wmvgr3 wmvgr4 wmvgr5
wbedae wcuobj w~mtvfp
xetenr xwmeng xbmeng xettyp xwepos xabart
x~edatu
xtddat xmbdat xlddat xwadat xabruf xetart
x~ezeit
into table t_vbap
from vbap as w
inner join vbep as x on xvbeln = wvbeln and
xposnr = wposnr and
xmandt = wmandt
where
( ( werdat > pre_dat ) and ( werdat <= w_date ) ) and
( ( ( erdat > pre_dat and erdat < p_syndt ) or
( erdat = p_syndt and erzet <= p_syntm ) ) ) and
w~matnr in s_matnr and
w~pstyv in s_itmcat and
w~lfrel in s_lfrel and
w~abgru = ' ' and
w~kwmeng > 0 and
w~mtvfp in w_mtvfp and
x~ettyp in w_ettyp and
x~bdart in s_req_tp and
x~plart in s_pln_tp and
x~etart in s_etart and
x~abart in s_abart and
( ( xlifsp in s_lifsp ) or ( xlifsp = ' ' ) ).
The problem: It takes too much time while executing this statement.
Could anybody change this statement and help me out to reduce the DB Access time?
Thx

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 < F~SEATSMAX
      AND CARRID = T_SPFLI-CARRID
      AND CONNID = T_SPFLI-CONNID
      AND FLDATE BETWEEN '19990101' AND '19990331'.
ENDSELECT.
The above mentioned code can be even more optimized by using subqueries instead of for all entries.
SELECT * FROM SFLIGHT AS F INTO SFLIGHT_WA
    WHERE SEATSOCC < F~SEATSMAX
      AND EXISTS ( SELECT * FROM SPFLI
                     WHERE CARRID = F~CARRID
                       AND CONNID = F~CONNID
                       AND CITYFROM = 'FRANKFURT'
                       AND CITYTO = 'NEW YORK' )
      AND FLDATE BETWEEN '19990101' AND '19990331'.
ENDSELECT.
1.     Table operations should be done using explicit work areas rather than via header lines.
READ TABLE ITAB INTO WA WITH KEY K = 'X BINARY SEARCH.
IS MUCH FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY K = 'X'.
If TAB has n entries, linear search runs in O( n ) time, whereas binary search takes only O( log2( n ) ).
2.     Always try to use binary search instead of linear search. But dont forget to sort your internal table before that.
READ TABLE ITAB INTO WA WITH KEY K = 'X'. IS FASTER THAN USING
READ TABLE ITAB INTO WA WITH KEY (NAME) = 'X'.
3.     A dynamic key access is slower than a static one, since the key specification must be evaluated at runtime.
4.     A binary search using secondary index takes considerably less time.
5.     LOOP ... WHERE is faster than LOOP/CHECK because LOOP ... WHERE evaluates the specified condition internally.
LOOP AT ITAB INTO WA WHERE K = 'X'.
ENDLOOP.
The above code is much faster than using
LOOP AT ITAB INTO WA.
CHECK WA-K = 'X'.
ENDLOOP.
6.     Modifying selected components using MODIFY itab TRANSPORTING f1 f2.. accelerates the task of updating a line of an internal table.
WA-DATE = SY-DATUM.
MODIFY ITAB FROM WA INDEX 1 TRANSPORTING DATE.
The above code is more optimized as compared to
WA-DATE = SY-DATUM.
MODIFY ITAB FROM WA INDEX 1.
7.     Accessing the table entries directly in a "LOOP ... ASSIGNING ..." accelerates the task of updating a set of lines of an internal table considerably
Modifying selected components only makes the program faster as compared to Modifying all lines completely.
e.g,
LOOP AT ITAB ASSIGNING <WA>.
I = SY-TABIX MOD 2.
IF I = 0.
    <WA>-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 tuning in t

hi,
I have to do perofrmance for one program, it is taking 67000 secs in back ground for execution and 1000 secs for some varints .It is an ALV report.
please suggest me how to proced to change the code.

Performance tuning for Data Selection Statement
<b>http://www.sap-img.com/abap/performance-tuning-for-data-selection-statement.htm</b>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.

Regarding performance tuning

hi,
i have developed a report program.its taking too much time to fetch the records.so what steps i have to consider to improve the performance. urgent plz.

Hi,
Check this links
Performance tuning for Data Selection Statement & Others
http://www.sap-img.com/abap/performance-tuning-for-data-selection-statement.htm
http://www.sapdevelopment.co.uk/perform/performhome.htm
http://www.thespot4sap.com/Articles/SAPABAPPerformanceTuning_PerformanceAnalysisTools.asp
http://www.thespot4sap.com/Articles/SAPABAPPerformanceTuning_Introduction.asp
1. 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
2. Run Time Analyser
http://help.sap.com/saphelp_47x200/helpdata/en/c6/617cafe68c11d2b2ab080009b43351/content.htm
3. SQL trace
http://help.sap.com/saphelp_47x200/helpdata/en/d1/801f7c454211d189710000e8322d00/content.htm
6. Coverage Analyser
http://help.sap.com/saphelp_47x200/helpdata/en/c7/af9a79061a11d4b3d4080009b43351/content.htm
7. Runtime Monitor
http://help.sap.com/saphelp_47x200/helpdata/en/b5/fa121cc15911d5993d00508b6b8b11/content.htm
8. Memory Inspector
http://help.sap.com/saphelp_47x200/helpdata/en/a2/e5fc84cc87964cb2c29f584152d74e/content.htm
http://sap.genieholdings.com/abap/performance.htm
http://www.dbis.ethz.ch/research/publications/19.pdf
Reward Points if it is Useful.
Thanks,
Manjunath MS

Performance tuning for Sales Order and its configuration data extraction

I write here the data fetching subroutine of an extract report.
This report takes 2.5 hours to extract 36000 records in the quality server.
Kindly provide me some suggestions for performance tuning it.
    SELECT auart vkorg vtweg spart vkbur augru
              kunnr yxinsto bstdk vbeln kvgr1 kvgr2 vdatu
              gwldt audat knumv
              FROM vbak
              INTO TABLE it_vbak
              WHERE vbeln IN s_vbeln
              AND erdat IN s_erdat
              AND auart IN s_auart
              AND vkorg = p_vkorg
              AND spart IN s_spart
              AND vkbur IN s_vkbur
              AND vtweg IN s_vtweg.
IF NOT it_vbak[] IS INITIAL.
    SELECT mvgr1 mvgr2 mvgr3 mvgr4 mvgr5
           yyequnr vbeln cuobj
           FROM vbap
           INTO TABLE it_vbap
           FOR ALL ENTRIES IN it_vbak
           WHERE vbeln = it_vbak-vbeln
           AND   posnr = '000010'.
    SELECT bstkd inco1 zterm vbeln
           prsdt
           FROM vbkd
           INTO TABLE it_vbkd
           FOR ALL ENTRIES IN it_vbak
           WHERE vbeln = it_vbak-vbeln.
    SELECT kbetr kschl knumv
           FROM konv
           INTO TABLE it_konv
           FOR ALL ENTRIES IN it_vbak
           WHERE knumv = it_vbak-knumv
           AND   kschl = 'PN00'.
    SELECT vbeln parvw kunnr
           FROM vbpa
           INTO TABLE it_vbpa
           FOR ALL ENTRIES IN it_vbak
           WHERE vbeln = it_vbak-vbeln
           AND parvw IN ('PE', 'YU', 'RE').
ENDIF.
LOOP AT it_vbap INTO wa_vbap.
    IF NOT wa_vbap-cuobj IS INITIAL.
      CALL FUNCTION 'VC_I_GET_CONFIGURATION'
           EXPORTING
                instance            = wa_vbap-cuobj
                language            = sy-langu
           TABLES
                configuration       = it_config
           EXCEPTIONS
                instance_not_found = 1
                internal_error      = 2
                no_class_allocation = 3
                instance_not_valid = 4
                OTHERS              = 5.
      IF sy-subrc = 0.
        READ TABLE it_config WITH KEY atnam = 'IND_PRODUCT_LINES'.
        IF sy-subrc = 0.
          wa_char-obj = wa_vbap-cuobj.
          wa_char-atnam = it_config-atnam.
          wa_char-atwrt = it_config-atwrt.
          APPEND wa_char TO it_char.
          CLEAR wa_char.
        ENDIF.
        READ TABLE it_config WITH KEY atnam = 'IND_GQ'.
        IF sy-subrc = 0.
          wa_char-obj = wa_vbap-cuobj.
          wa_char-atnam = it_config-atnam.
          wa_char-atwrt = it_config-atwrt.
          APPEND wa_char TO it_char.
          CLEAR wa_char.
        ENDIF.
        READ TABLE it_config WITH KEY atnam = 'IND_VKN'.
        IF sy-subrc = 0.
          wa_char-obj = wa_vbap-cuobj.
          wa_char-atnam = it_config-atnam.
          wa_char-atwrt = it_config-atwrt.
          APPEND wa_char TO it_char.
          CLEAR wa_char.
        ENDIF.
        READ TABLE it_config WITH KEY atnam = 'IND_ZE'.
        IF sy-subrc = 0.
          wa_char-obj = wa_vbap-cuobj.
          wa_char-atnam = it_config-atnam.
          wa_char-atwrt = it_config-atwrt.
          APPEND wa_char TO it_char.
          CLEAR wa_char.
        ENDIF.
        READ TABLE it_config WITH KEY atnam = 'IND_HQ'.
        IF sy-subrc = 0.
          wa_char-obj = wa_vbap-cuobj.
          wa_char-atnam = it_config-atnam.
          wa_char-atwrt = it_config-atwrt.
          APPEND wa_char TO it_char.
          CLEAR wa_char.
        ENDIF.
    READ TABLE it_config WITH KEY atnam = 'IND_CALCULATED_INST_HOURS'.
        IF sy-subrc = 0.
          wa_char-obj = wa_vbap-cuobj.
          wa_char-atnam = it_config-atnam.
          wa_char-atwrt = it_config-atwrt.
          APPEND wa_char TO it_char.
          CLEAR wa_char.
        ENDIF.
      ENDIF.
    ENDIF.
ENDLOOP. " End of loop on it_vbap
Edited by: jaya rangwani on May 11, 2010 12:50 PM
Edited by: jaya rangwani on May 11, 2010 12:52 PM

Hello Jaya,
Will provide some point which will increase the performance of the program:
1.     VBAK & VBAP are header & item table. And so the relation will be 1 to many. In this case, you can use inner join instead multiple select statement.
2.     If you are very much confident in handling the inner join, then you can do a single statement to get the data from VBAK, VBAP & VBKD using the inner join.
3.     Before using for all entries, check whether the internal table is not initial.
And sort the internal table and delete adjacent duplicates.
4.     Sort all the resultant internal table based on the required key fields and read always using the binary search.
You will get a number of documents where you can get a fair idea of what should be done and what should not be while doing a program related to performance issue.
Also you can have number of function module and BAPI where you can get the sales order details. You can try with u2018BAPISDORDER_GETDETAILEDLISTu2019.
Regards,
Selva K.

Urgent - Performance tuning

The following code takes more execution time..How can we reduce the execution time through performance tuning..
SELECT DISTINCT bebeln AS bktxt bebelp amblnr avgart bbwart bmatnr bwerks blifnr bmenge bebeln b~erfmg
INTO CORRESPONDING FIELDS OF TABLE it_mseg
FROM mkpf AS a INNER JOIN mseg AS b ON bmblnr = amblnr
FOR ALL ENTRIES IN it_ekpo
WHERE
bebeln = it_ekpo-ebeln AND bebelp = it_ekpo-ebelp AND b~matnr = it_ekpo-matnr

Hi!
Either you go for index M of table MSEG.
Then specifiy in addition
b~MATNR eq it_ekpo-matnr
b~WERKS eq it_ekpo-werks
b~LGORT eq it_ekpo-lgort
b~BWART eq '101'
b~SOBKZ eq space
b~ebeln eq it_ekpo-ebeln
b~ebelp eq it_ekpo-ebelp.
Check, if movement type and special stock type are correct in your case. Maybe you need multiple entries, try if this can still speed up the select.
Or you go for document index EKBE.
Start selection the POs. Then select EKBE for all entries with VGABE = '1'. Then go for MKPF/MSEG with primary key. Every table starting from EKBE will have a (partial) primary key access, has to be pretty fast.
Regards,
Christian

Performance tuning techniques

I am looking to compile a list of the major performance tuning techniques that can be implemented in an ABAP program.
Appreciate any feedback
J

HI,
chk this.
http://www.erpgenie.com/abap/performance.htm
http://www.thespot4sap.com/Articles/SAPABAPPerformanceTuning_PerformanceAnalysisTools.asp
http://www.sap-img.com/abap/performance-tuning-for-data-selection-statement.htm
Performance tuning for Data Selection Statement
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)
Some steps that might make FOR ALL ENTRIES more efficient:
Removing duplicates from the the driver table
Sorting the driver table
If possible, convert the data in the driver table to ranges so a BETWEEN statement is used instead of and OR statement:
FOR ALL ENTRIES IN i_tab
WHERE mykey >= i_tab-low and
        mykey <= i_tab-high.
Nested selects
The plus:
Small amount of data
Mixing processing and reading of data
Easy to code - and understand
The minus:
Large amount of data
when mixed processing isnt needed
Performance killer no. 1
Select using JOINS
The plus
Very large amount of data
Similar to Nested selects - when the accesses are planned by the programmer
In some cases the fastest
Not so memory critical
The minus
Very difficult to program/understand
Mixing processing and reading of data not possible
Use the selection criteria
SELECT * FROM SBOOK.
CHECK: SBOOK-CARRID = 'LH' AND
                  SBOOK-CONNID = '0400'.
ENDSELECT.
SELECT * FROM SBOOK
WHERE CARRID = 'LH' AND
        CONNID = '0400'.
ENDSELECT.
Use the aggregated functions
C4A = '000'.
SELECT * FROM T100
WHERE SPRSL = 'D' AND
        ARBGB = '00'.
CHECK: T100-MSGNR > C4A.
C4A = T100-MSGNR.
ENDSELECT.
SELECT MAX( MSGNR ) FROM T100 INTO C4A
WHERE SPRSL = 'D' AND
       ARBGB = '00'.
Select with view
SELECT * FROM DD01L
WHERE DOMNAME LIKE 'CHAR%'
        AND AS4LOCAL = 'A'.
SELECT SINGLE * FROM DD01T
    WHERE   DOMNAME    = DD01L-DOMNAME
        AND AS4LOCAL   = 'A'
        AND AS4VERS    = DD01L-AS4VERS
        AND DDLANGUAGE = SY-LANGU.
ENDSELECT.
SELECT * FROM DD01V
WHERE DOMNAME LIKE 'CHAR%'
       AND DDLANGUAGE = SY-LANGU.
ENDSELECT.
Select with index support
SELECT * FROM T100
WHERE     ARBGB = '00'
       AND MSGNR = '999'.
ENDSELECT.
SELECT * FROM T002.
SELECT * FROM T100
    WHERE     SPRSL = T002-SPRAS
          AND ARBGB = '00'
          AND MSGNR = '999'.
ENDSELECT.
ENDSELECT.
Select Into table
REFRESH X006.
SELECT * FROM T006 INTO X006.
APPEND X006.
ENDSELECT
SELECT * FROM T006 INTO TABLE X006.
Select with selection list
SELECT * FROM DD01L
WHERE DOMNAME LIKE 'CHAR%'
        AND AS4LOCAL = 'A'.
ENDSELECT
SELECT DOMNAME FROM DD01L
INTO DD01L-DOMNAME
WHERE DOMNAME LIKE 'CHAR%'
       AND AS4LOCAL = 'A'.
ENDSELECT
Key access to multiple lines
LOOP AT TAB.
CHECK TAB-K = KVAL.
ENDLOOP.
LOOP AT TAB WHERE K = KVAL.
ENDLOOP.
Copying internal tables
REFRESH TAB_DEST.
LOOP AT TAB_SRC INTO TAB_DEST.
APPEND TAB_DEST.
ENDLOOP.
TAB_DEST[] = TAB_SRC[].
Modifying a set of lines
LOOP AT TAB.
IF TAB-FLAG IS INITIAL.
    TAB-FLAG = 'X'.
ENDIF.
MODIFY TAB.
ENDLOOP.
TAB-FLAG = 'X'.
MODIFY TAB TRANSPORTING FLAG
           WHERE FLAG IS INITIAL.
Deleting a sequence of lines
DO 101 TIMES.
DELETE TAB_DEST INDEX 450.
ENDDO.
DELETE TAB_DEST FROM 450 TO 550.
Linear search vs. binary
READ TABLE TAB WITH KEY K = 'X'.
READ TABLE TAB WITH KEY K = 'X' BINARY SEARCH.
Comparison of internal tables
DESCRIBE TABLE: TAB1 LINES L1,
                TAB2 LINES L2.
IF L1 <> L2.
TAB_DIFFERENT = 'X'.
ELSE.
TAB_DIFFERENT = SPACE.
LOOP AT TAB1.
    READ TABLE TAB2 INDEX SY-TABIX.
    IF TAB1 <> TAB2.
      TAB_DIFFERENT = 'X'. EXIT.
    ENDIF.
ENDLOOP.
ENDIF.
IF TAB_DIFFERENT = SPACE.
ENDIF.
IF TAB1[] = TAB2[].
ENDIF.
Modify selected components
LOOP AT TAB.
TAB-DATE = SY-DATUM.
MODIFY TAB.
ENDLOOP.
WA-DATE = SY-DATUM.
LOOP AT TAB.
MODIFY TAB FROM WA TRANSPORTING DATE.
ENDLOOP.
Appending two internal tables
LOOP AT TAB_SRC.
APPEND TAB_SRC TO TAB_DEST.
ENDLOOP
APPEND LINES OF TAB_SRC TO TAB_DEST.
Deleting a set of lines
LOOP AT TAB_DEST WHERE K = KVAL.
DELETE TAB_DEST.
ENDLOOP
DELETE TAB_DEST WHERE K = KVAL.
Tools available in SAP to pin-point a performance problem
The runtime analysis (SE30)
SQL Trace (ST05)
Tips and Tricks tool
The performance database
Optimizing the load of the database
Using table buffering
Using buffered tables improves the performance considerably. Note that in some cases a stament can not be used with a buffered table, so when using these staments the buffer will be bypassed. These staments are:
Select DISTINCT
ORDER BY / GROUP BY / HAVING clause
Any WHERE clasuse that contains a subquery or IS NULL expression
JOIN s
A SELECT... FOR UPDATE
If you wnat to explicitly bypass the bufer, use the BYPASS BUFFER addition to the SELECT clause.
Use the ABAP SORT Clause Instead of ORDER BY
The ORDER BY clause is executed on the database server while the ABAP SORT statement is executed on the application server. The datbase server will usually be the bottleneck, so sometimes it is better to move thje sort from the datsbase server to the application server.
If you are not sorting by the primary key ( E.g. using the ORDER BY PRIMARY key statement) but are sorting by another key, it could be better to use the ABAP SORT stament to sort the data in an internal table. Note however that for very large result sets it might not be a feasible solution and you would want to let the datbase server sort it.
Avoid ther SELECT DISTINCT Statement
As with the ORDER BY clause it could be better to avoid using SELECT DISTINCT, if some of the fields are not part of an index. Instead use ABAP SORT + DELETE ADJACENT DUPLICATES on an internal table, to delete duplciate rows.
Regds
Anver
if hlped pls mark points

Performance Tuning - Suggestions

Hi,
I have an ABAP (Interactive List) Program times out in PRD very often. The ABAP run time is about 99%. The DB time is less than 1%. All the select statements has the table index in place. Actually it isprocessing all the Production Orders (Released but not Confirmed/Closed). Please let me know if you have any suggestion.
Appreciate Your Help.
Thanks,
Kannan.

Hi
1) Dont use nested select statements
2) If possible use for all entries in addition
3) In the where addition make sure you give all the primary key
4) Use Index for the selection criteria.
5) You can also use inner joins
6) You can try to put the data from the first select statement into an Itab and then in order to select the data from the second table use for all entries in.
7) Use the runtime analysis SE30 and SQL Trace (ST05) to identify the performance and also to identify where the load is heavy, so that you can change the code accordingly
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
2. ABAP
3. System
Run Any program using SE30 (performance analys) to improve performance refer to tips and trics section of SE30, Always remember that ABAP perfirmance is improved when there is least load on Database.
u can get an interactive grap in SE30 regarding this with a file.
also if u find runtime of parts of codes then use :
Switch on RTA Dynamically within ABAP Code
*To turn runtim analysis on within ABAP code insert the following code
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.
Try to restrict the joins to 1 level only ie only for tables
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
Anji

Performance Tuning on a Select Query

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