Triger email when we start of a back ground job

.

Hi there
Forget all the references to OLE etc -- this has NOTHING to do with your problem.
Let's go right back to Ist principles  -- so I assume what you want to do here is issue an email when a certain Background job is started.
You've got a few choices here -- In the first step of the background job you could call a class or function module that sends an email - probably the easiest way
so your background job would be a two step job 1) abap pgm that calls the email sending program and 2) the program you want to run.
The other way is to raise an event and use workflow -- be careful here because I doubt if you want to send an email for every batch job.
So you need to call a function module SAP_WAPI_CREATE_EVENT  which raises your event say SENDEMAIL.
You then need to set up an entry via table SWE2 which starts a task or a WF when this event is raised.
Your WF will then execute your batch job (in the background), and call the email sending program -- you need to have external email connections set up on the SAP sending system (transaction SCOT).
If you need to send emails for particular batch jobs then the EASIEST way to go about this is as follows.
1) Define a Z table with Batch job name, email required  (an 'X' or blank) and the email address (if you have HR you could get the email address from Infotype 105) . If you need to get the email address at run time depending on the job, department running it etc etc then you will probably need some other parameters but to start with keep it simple so the Z table I've outlined here is the easiest.
2)  Create a "Batch job" scheduler -- this is very simple.  Function Modules  BP_JOB_CREATE etc can be used here . Use this program to submit your batch jobs that you want email notifications for.  This job could be run automatically say every 30 mins etc.
3) in this job check against the Z-table whether the actual batch job you want to run needs to send an email.
4) If it does then call SAP_WAPI_CREATE_EVENT with the batch job / program name as part of the object key.
5) WF will then  simply send the email so you only need a 1 step task not a complete workflow.
You'll have to define a Business Object (you could do it via classes but for this simple exercise a Business object is the easiest). Define it as ZEMAILER  or something and define an event in it. The Business obvject will be an instance of your email Z table.
You only need a single method in the business object which will look up the email address and whether or not an email is to be sent.  If an email is required simply call the function module Z_SEND_EMAIL.  There's plenty of sample  code for sending  to external email function modules.
In SWE2 you'll define the event SENDEMAIL for business object ZEMAILER   to start task TSnnnnnn.
Use PFTC to create TSnnnnnn which just calls the  method  in your ZEMAILER business object that sends the email.
Easy
Cheers
jimbo

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    2.     Select Statements
    •     Select Queries
    •     SQL Interface
    •     Aggregate Functions
    •     For all Entries
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    Points # 1/2
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    Select Statements   Select Queries
    1.     Avoid nested selects
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    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.
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    Point # 1
    SELECT * FROM EKKO INTO EKKO_WA.
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      ENDSELECT.
    ENDSELECT.
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    Point # 2
    SELECT * FROM SBOOK INTO SBOOK_WA.
      CHECK: SBOOK_WA-CARRID = 'LH' AND
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    Point # 4
    SELECT * FROM SBOOK INTO SBOOK_WA
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      WHERE CARRID = 'LH'.
    ENDSELECT.
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    SELECT * FROM SBOOK INTO SBOOK_WA
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        AND CONNID = '0400'.
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            AND MSGNR = '999'.
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            AND MSGNR = '999'.
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    Select max( fligh ) from zflight into maxno where airln = ‘LF’ and cntry = ‘IN’.
    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.
         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)
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    •     Sorting the driver table
    •     Removing duplicates from the driver table
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    Append int_fligh.
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    Sort int_cntry by cntry.
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                For all entries in int_cntry
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    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.
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      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
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      SELECT * FROM EKAN INTO EKAN_WA
          WHERE EBELN = EKKO_WA-EBELN.
      ENDSELECT.
    ENDSELECT.
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        WHERE SEATSOCC < F~SEATSMAX
          AND CARRID = T_SPFLI-CARRID
          AND CONNID = T_SPFLI-CONNID
          AND FLDATE BETWEEN '19990101' AND '19990331'.
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                           AND CONNID = F~CONNID
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    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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