Does back ground jobs work process go to private mode or not

Hi Experts,
Can any one tell me
Does back ground jobs work process go to private mode or not
Thanks and Regards
Dan !!

Hi Dan,
I do not think background work processes would go into PRIV mode.
the orginal information was remove by Admin because provided by Cut and Paste from SAP Online Help.
you will find it <a href="http://help.sap.com/saphelp_47x200/helpdata/en/7a/caa6f3bfdb11d188b30000e83539c3/frameset.htm">here</a>
The distribution, participation in distributing or otherwise sending of this material is against the law. The material you are requesting is copyrighted material and available ONLY to customers of SAP. If you need such documents from the SAP Service Marketplace then you must have "S" user ID and login yourself to retrieve this material. If you do not have a "S" user ID then you should contact your own internal company groups responsible and request one or request them to retrieve the document for you.
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            AND MSGNR = '999'.
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    Select Statements    contd…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.
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    •     Fast internal reprocessing of data
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    where cntry = int_cntry-cntry.
    Append int_fligh.
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    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
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            AND AS4LOCAL = 'A'.
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            AND AS4LOCAL   = 'A'
            AND AS4VERS    = DD01L_WA-AS4VERS
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      WHERE DOMNAME LIKE 'CHAR%'
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    Point # 2
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      SELECT * FROM EKAN INTO EKAN_WA
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      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
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    Point # 3
    SELECT * FROM SPFLI
      INTO TABLE T_SPFLI
      WHERE CITYFROM = 'FRANKFURT'
        AND CITYTO = 'NEW YORK'.
    SELECT * FROM SFLIGHT AS F
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        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'.
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    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'.
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    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.
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      I = SY-TABIX MOD 2.
      IF I = 0.
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      ENDIF.
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    Point # 8
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      IF SY-SUBRC = 0.
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    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
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    SORT ITAB2 BY K.
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    Point # 9
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      APPEND WA TO ITAB2.
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    Point # 10
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    Point # 11
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    Point # 12
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    2.      For partial sequential access sorted tables are more optimized as compared to hashed tables
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