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author's profile photo Former Member
Former Member

need performance tunning

select partner from but000 into (ITAB-PARTNER1)

WHERE PARTNER IN PARTNER AND TYPE = '2'.

SELECT SINGLE PARTNER_GUID FROM BUT000 INTO CORRESPONDING FIELDS OF ITAB

WHERE PARTNER = ITAB-PARTNER1.

IF SY-SUBRC = 0.

SELECT single CLASSIFIC FROM CRMM_BUT_FRG0041 INTO CORRESPONDING FIELDS OF ITAB

WHERE PARTNER_GUID = ITAB-PARTNER_GUID.

endif.

IF SY-SUBRC = 0.

SELECT SINGLE SALES_ORG FROM CRMM_BUT_LNK0031

INTO CORRESPONDING FIELDS OF ITAB

WHERE PARTNER_GUID = ITAB-PARTNER_GUID .

ENDIF.

IF SY-SUBRC = 0.

IF GEOGRAPY EQ ' '.

SELECT SINGLE SHORT STEXT FROM HRP1000 INTO CORRESPONDING FIELDS OF ITAB

WHERE OTJID = ITAB-SALES_ORG AND LANGU = 'E' .

ELSE.

SELECT SINGLE SHORT STEXT FROM HRP1000 INTO CORRESPONDING FIELDS OF ITAB

WHERE OTJID = ITAB-SALES_ORG AND LANGU = 'E' AND STEXT = GEOGRAPY .

ENDIF.

ENDIF.

  • IF SY-SUBRC = 0.

SELECT ADDRNUMBER FROM BUT020 INTO CORRESPONDING FIELDS OF ITAB

WHERE PARTNER = ITAB-PARTNER1.

ENDSELECT.

*ENDIF.

  • IF SY-SUBRC = 0.

SELECT NAME1 CITY1 TEL_NUMBER FROM ADRC

INTO (ITAB-NAME1, ITAB-CITY, ITAB-TEL_NUMBER1)

WHERE ADDRNUMBER = ITAB-ADDRNUMBER. "and country IN GEOGRAPY.

ENDSELECT.

*ENDIF.

SELECT SMTP_ADDR FROM ADR6 INTO CORRESPONDING FIELDS OF ITAB

WHERE ADDRNUMBER = ITAB-ADDRNUMBER.

ENDSELECT.

APPEND ITAB.

clear itab.

ENDSELECT.

********for responsible employee

SELECT PARTNER1 PARTNER2 RELTYP

FROM BUT050

INTO TABLE I_BUT050 FOR

ALL ENTRIES IN ITAB WHERE PARTNER1 = ITAB-PARTNER1 and reltyp = 'BUR011'.

IF NOT I_BUT050[] IS INITIAL.

loop at i_but050.

SELECT PARTNER PARTNER_GUID NAME_FIRST NAME_LAST

FROM BUT000

INTO (I_BUT000-partner,I_BUT000-PARTNER_GUID2, I_BUT000-FNAME, I_BUT000-LNAME)

WHERE PARTNER = I_BUT050-PARTNER2 .

select partner_guid from but000 into (i_but000-partner_guid1)

where partner = I_BUT050-PARTNER1.

endselect.

SELECT SALES_ORG CHANNEL DIVISION PARTNER_FCT FROM CRMM_BUT_FRG0081

INTO (I_BUT000-RSALES_ORG, I_BUT000-CHANNEL,I_BUT000-DIVISION,I_BUT000-PARTNER_FCT)

where rel_partner_guid = i_but000-partner_guid2 and partner_guid = I_BUT000-partner_guid1.

  • where division <> ''.

ENDSELECT.

SELECT SINGLE DESCRIPTION FROM CRMC_PARTNER_FT INTO CORRESPONDING FIELDS OF I_BUT000

WHERE PARTNER_FCT = I_BUT000-PARTNER_FCT AND SPRAS = 'E'.

SELECT SINGLE STEXT FROM HRP1000 INTO (I_BUT000-STEXT_R)

WHERE OTJID = I_BUT000-RSALES_ORG AND LANGU = 'E'.

SELECT SINGLE DESCRIPTION FROM CRMC_DIVISION_T INTO (I_BUT000-DESC)

WHERE DIVISION = I_BUT000-DIVISION AND LANGU = 'E'.

SELECT SINGLE DESCRIPTION FROM CRMC_DISTCHAN_T INTO (I_BUT000-CHANNEL_DESC)

WHERE DISTCHAN = I_BUT000-CHANNEL AND LANGU = 'E'.

i_but000-partner1 = i_but050-partner1.

append i_but000.

clear i_but000.

endselect.

endloop.

ENDIF.

*************for contract person **************

SELECT PARTNER1 PARTNER2 RELTYP

FROM BUT050

INTO TABLE I_BUT050 FOR

ALL ENTRIES IN ITAB WHERE PARTNER1 = ITAB-PARTNER1 and reltyp = 'BUR001'.

IF NOT I_BUT050[] IS INITIAL.

loop at i_but050.

SELECT PARTNER NAME_FIRST NAME_LAST

FROM BUT000

INTO (IC_BUT000-partner2, IC_BUT000-NAME_FIRST, IC_BUT000-NAME_LAST)

WHERE PARTNER = I_BUT050-PARTNER2 .

iC_but000-partner1 = i_but050-partner1.

append iC_but000.

clear iC_but000.

endselect.

endloop.

ENDIF.

SELECT PARTNER1 PARTNER2 PAFKT PAAUTH ABTNR

FROM BUT051

INTO TABLE I_BUT051

FOR ALL ENTRIES IN IC_BUT000 WHERE PARTNER2 = IC_BUT000-PARTNER2.

SELECT PAFKT BEZ30

FROM TB913

INTO TABLE I_TB913

FOR ALL ENTRIES IN I_BUT051 WHERE PAFKT = I_BUT051-PAFKT AND SPRAS = 'EN'.

SELECT PAAUTH BEZ20

FROM TB915

INTO TABLE I_TB915

FOR ALL ENTRIES IN I_BUT051 WHERE PAAUTH = I_BUT051-PAAUTH AND SPRAS = 'EN'.

SELECT ABTNR BEZ20

FROM TB911

INTO TABLE I_TB911

FOR ALL ENTRIES IN I_BUT051 WHERE ABTNR = I_BUT051-ABTNR AND SPRAS = 'EN'.

SELECT PARTNER ADDRNUMBER

FROM BUT020

INTO TABLE I_BUT020

FOR ALL ENTRIES IN IC_BUT000 WHERE PARTNER = IC_BUT000-PARTNER2.

SELECT ADDRNUMBER TEL_NUMBER FROM ADCP

INTO TABLE I_ADCP

FOR ALL ENTRIES IN I_BUT020 WHERE ADDRNUMBER = I_BUT020-ADDRNUMBER .

SELECT ADDRNUMBER SMTP_ADDR FROM ADR6

INTO TABLE I_ADR6

FOR ALL ENTRIES IN I_BUT020 WHERE ADDRNUMBER = I_BUT020-ADDRNUMBER .

LOOP AT IC_BUT000.

READ TABLE I_BUT051 WITH KEY PARTNER1 = IC_BUT000-PARTNER1 PARTNER2 = IC_BUT000-PARTNER2.

IF SY-SUBRC = 0.

READ TABLE I_TB913 WITH KEY PAFKT = I_BUT051-PAFKT .

IF SY-SUBRC = 0.

MOVE I_TB913-BEZ30 TO IC_BUT000-BEZ30.

ENDIF.

READ TABLE I_TB915 WITH KEY PAAUTH = I_BUT051-PAAUTH .

IF SY-SUBRC = 0.

MOVE I_TB915-BEZ20 TO IC_BUT000-BEZ20.

ENDIF.

READ TABLE I_TB911 WITH KEY ABTNR = I_BUT051-ABTNR .

IF SY-SUBRC = 0.

MOVE I_TB911-BEZ2 TO IC_BUT000-BEZ2.

ENDIF.

ENDIF.

READ TABLE I_BUT020 WITH KEY PARTNER = IC_BUT000-PARTNER2.

IF SY-SUBRC = 0.

READ TABLE I_ADCP WITH KEY ADDRNUMBER = I_BUT020-ADDRNUMBER.

IF SY-SUBRC = 0.

MOVE I_ADCP-TEL_NUMBER TO IC_BUT000-TEL_NUMBER.

ENDIF.

READ TABLE I_ADR6 WITH KEY ADDRNUMBER = I_BUT020-ADDRNUMBER.

IF SY-SUBRC = 0.

MOVE I_ADR6-SMTP_ADDR TO IC_BUT000-SMTP_ADDR2.

ENDIF.

ENDIF.

MODIFY IC_BUT000.

ENDLOOP.

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2 Answers

  • Best Answer
    author's profile photo Former Member
    Former Member
    Posted on Nov 29, 2007 at 02:22 PM

    I haven't checked it thoroughly, but the thing that stands out is in the final LOOP, you are doing a number of READs without the BINARY SEARCH option. Sort your tables and add the BINARY SEARCH option and this will go much more quickly.

    Rob

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    • Former Member Matthew Billingham

      > Or use HASHED tables. ( SORTED if you have to ).

      >

      > matt

      Keep in mind that hashed tables (which are the fastest option) can only be used when the table has a unique key.

      If hashed tables cannot be used, such as when the table does not have a unique key, the best option is a sorted table in most non-trivial scenarios.

      Good luck

      Brian

  • author's profile photo Former Member
    Former Member
    Posted on Nov 29, 2007 at 07:11 AM

    Hi

    DON"T USE SELECT and ENDSELECT staments it acts like an LOOP

    see these points

    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.

    2. Always try to use binary search instead of linear search. But don’t 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.

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