How to synchronise the job processing from the program.

How to synbchronize the job processing when we are creating jobs from the program.
Thanks,
Ramana.

hi,
yes you can do this..
try this
create a two screen suppose 9000 and 9001..
then right click on your program name...
create a TCODE say TONE..
in this give the screen number 9000..
now again right click on the program name
create a TCODE say Tsecond
in this give the screen number 9001...
hope this will help you..
Regards
Ritesh J

Similar Messages

  • How to check my job name from the database...

    I have written one job scheduler which is as follows :
    SQL> ED
    Wrote file afiedt.buf
    1 DECLARE
    2 X NUMBER;
    3 JobNumber NUMBER;
    4 BEGIN
    5 SYS.DBMS_JOB.SUBMIT
    6 (
    7 job => X
    8 ,what => 'scott.SPLITSMS;'
    9 ,next_date => SYSDATE+1/1440
    10 ,interval => 'SYSDATE+1/1440 '
    11 ,no_parse => FALSE
    12 );
    13 JobNumber := to_char(X);
    14* END;
    15 /
    PL/SQL procedure successfully completed.
    Now I want to check whether the job has been really created or not?
    so for that I have used the following command line:
    SQL> SELECT JOB_NAME FROM DBA_SCHEDULER_JOBS WHERE JOB_NAME = 'SCOTT.SPLITSMS';
    SELECT JOB_NAME FROM DBA_SCHEDULER_JOBS WHERE JOB_NAME = 'SCOTT.SPLITSMS'
    ERROR at line 1:
    ORA-00942: table or view does not exist
    how to check my job name from the database...
    what is the command used to check the job_name ????
    and how can i ensure that my job scheduler is running properly...???
    please help ........my dear friends.....!

    957029 wrote:
    Now I want to check whether the job has been really created or not?
    so for that I have used the following command line:
    SQL> SELECT JOB_NAME FROM DBA_SCHEDULER_JOBS WHERE JOB_NAME = 'SCOTT.SPLITSMS';
    SELECT JOB_NAME FROM DBA_SCHEDULER_JOBS WHERE JOB_NAME = 'SCOTT.SPLITSMS'
    ERROR at line 1:
    ORA-00942: table or view does not existYou can use DBA_* views only if the User has been Granted a DBA Privilege.
    how to check my job name from the database...
    what is the command used to check the job_name ????You can use USER_JOBS view to check. But, is it not that you have just created the Job, so you must be knowing it?
    and how can i ensure that my job scheduler is running properly...???If USER_JOBS.FAILURES is Non Zero, that means the Job has encountered a problem that needs to be Investigated. Similarly, the LAST_DATE, LAST_SEC, NEXT_DAY, NEXT_SEC can be used to determine if the Job has been running successfully.
    if you are on 11g, you should consider using DBMS_SCHEDULER.

  • How to synchronise calenders. Appointments from the iphone are not copied into Outlook 2010

    has anyone been successful in synchronising the calenders between the Iphone and Outlook 2010? Appointments written into my iphone do not appear in the Outlook calender. I did try "via the Google"calender, but no luck that way either..
    It would make life easier ...

    See if this article helps: http://office.microsoft.com/en-us/outlook-help/synchronize-outlook-and-apple-iph one-or-ipod-touch-calendars-HA010266829.aspx

  • How to invoke an other BPM asynchronous process from the BPM process

    Do anyone know how to invoke other asynchronous process from the BPM process without using the Web Service URL?

    Try using a Service task implemented as a Process Call. Then you select the process you want to call, set the associations or transformation and deploy it to test.
    I hope it works for you.
    isabelbernely

  • How can I start System Preferences from the command line?

    Hello All,
    I have an issue I'm not quite sure how to solve. I have been tasked within my business environment  with tightening security on a Mac Leopard system and I've been granted Admin Rights to do this on a temporary basis.
    The problem is as follows:
    1) The original Sys Admin that set up this system is gone, no longer available.
    2) He was a Dvorak Keyboard fan and set up the system for a Dvorak Keyboard.
    3) The system actually has a standard Apple keyboard and is marked accordingly, i.e., qwerty (Most Users in the building have stopped using this system altogether - a terrible waste of a good system - even though some of their apps can be run normally (US style qwerty settings). The command line is useless, as is texteditor.app and a few others unless you know Dvorak layout)
    5) When I open System Preferences, the Dvorak keyboard checkbox is grayed out and I cannot change it. There is no lock at the bottom of that particular screen for me to unlock.
    6) Even though I select the US Keyboard at Login, and some apps work accordingly (like MatLab for example) the terminal is borderline useless. I spent over 2 hrs yesterday doing what should have been able to be done in about 30 minutes. I estimate a frustrating and mistake prone additional 8 to 10 hours to do what is normally a a 4 hour job at the command-line.
    7) I do not have the time or desire to re-mark all the keys on the keyboard, particularly since it is not my call to do so, nor do I have the time to re-learn Dvorak touch-typing, and finally I do not want to re-load the entire system. I just want to change the darn keyboard to a standard qwerty keyboard that is somewhat useful in a terminal environment with vi, command line, etc. It's either that or I go mildly insane
    This is frustrating as all get-out. The new Admin logged in and was able to uncheck his Dvorak settings (he is not a UNIX guy, nor is he comfortable om Macs), and we were hoping this was a system wide setting, but No. We re-booted the system, I logged in, still Dvorak, and the checkbox was still grayed out.
    So I figure, short of re-loading the entre system and all the applications necesary, I can either start the Systems Preferences GUI using sudo and hopefully that will change system-wide settings, or I can delete the .AppleSetupDone file and resetup the system (if the keyboard settings are part of the setup) without spending a couple of days reloading everything and re-setting up users, networks, etc.
    Needless to say, I am hoping for the easiest and quickest solution to this extremely frustrating and  aggravating problem.
    Thanks.

    For my situation the following C# code does the job:
        Process.Start(
           @"c:\Program Files\National Instruments\CVI71\cvi.exe",
           @"c:\temp\experiment.c" );
    The file must already exist.

  • Completely KILL the process from the OS - problem.

    Does anyone know how to completely kill/eliminate/dispose/ the main process from the OS.
    Here is the prob: my application runs smoothly. when I close it - it's being eliminated from the OS, however I found out that when I open a new window [from the main application] and updating something and then closing this particular window (with setvisable(false) / dispose() ) and QUITING the main application - the process still runs in the background.
    Is there a way to make sure that regardless of the open frames/dialog the process [main application] will completely 'die'?
    Thanks

    so simple and so elegant
    thanks, I feel like going back to CS101

  • Job logs from the original system after Unicode conversion.

    Dear Globalization experts,
    We are doing Unicode conversion and would like to know, if the Job logs from the batch jobs, executed before conversion (system with a 1100 code page), would be readable  in the Unicode system after the conversion.  We will move job log files from the source to the target  system. I .  Thank you in advance for your help.
    Best regards,
    Alik Shapiro

    Hi Alik,
    I have strong doubts that this will work ...
    From SAP notes 842767 and 901004 you can see, that spool data will not be converted properly by default.
    In general this is valid for data stored in TemSe, as this is by definition temporary data (see for example http://help.sap.com/saphelp_nw70/helpdata/en/d9/4a8f9c51ea11d189570000e829fbbd/content.htm ).
    However I actually did not test it, so I am not 100% sure.
    Best regards,
    Nils Buerckel
    SAP AG

  • How to start a GP process from a url within EP?

    I know how to start a GP process from the webdynpro url generated from the instantiation tab of a GP process.
    But if I use this url, the end-user will be prompted with a login screen to authenticate to the J2ee server because it's a webdynpro url and it doesn't recognized that the user is already logged in the Portal.
    How can i avoid this login screen or how can I get a Portal url that launch the GP process directly? Thanks, Andre

    Hi Austin,
    There is a strange problem when creating a web dynpro with the URL parameters. It web dynpro window pops up a new portal window in which the process is displayed. Rather, if I create a URL iView of the form http://<host>:port>/webdynpro/dispatcher/sap.com/cafeugpuiinst/AInstantiation?process.template.id=<...>&process.autostart=t it works fine!
    I'd like the web dynpro iView to work cause otherwise I'll have to add static sapcssurl parametes for the theme etc. which I want to avoid.
    Regards,
    Nirav

  • IDVD 7.1.2: I am making music instrument instructional DVDs, and I want to include several audio loops in that the viewer access from the main menu to play along with

    iDVD 7.1.2: I am making music instrument instructional DVDs, and I want to include several audio loops that the viewer access from the main menu to play along with

    Export the slideshow out of iMovie via the File  ➙  Share ➙ File menu option as a 480p Quicktime movie.
    Open iDVD, select a theme and drag the exported QT movie file into the open iDVD window being careful to avoid any drop zones.
    Follow this workflow to help assure the best quality video DVD:
    Once you have the project as you want it save it as a disk image via the File ➙ Save as Disk Image  menu option. This will separate the encoding process from the burn process. 
    To check the encoding mount the disk image, launch DVD Player and play it.  If it plays OK with DVD Player the encoding is good.
    Then burn to disk with Disk Utility or Toast at the slowest speed available (2x-4x) to assure the best burn quality.  Always use top quality media:  Verbatim, Maxell or Taiyo Yuden DVD-R are the most recommended in these forums.
    OT

  • How to get the job logs from sm35 by using the queue id and session name?

    hi all,
    can any one please let me know how to read the job log from sm35 by using the session name and queue id. i have the job name and job count but is it possible to download the job log by using the queue id and session name.
    FYI..
    i want to read this job log and i want to send it to an email id.
    -> i am using the job_open and submitting the zreport via job name and job count and then i am using the function module  job_close.
    but this is not working in my scenario i have the queue id and session name by using this two i want to get the job log is there any function module available or code please provide me some inputs.
    thanks in advance,
    koushik

    Hi Bharath,
    If you want to download it to the local file then you can follow the instructions in the below link.
    How to download Batch Input Session Log?
    Regards,
    Sachin

  • How to cancel the background job processing in ABAP programming?

    Hi,
    I have a requirement where i need to cancel the job depending on some constraint. My code is something like this:
    Select some data from the table.
    if sy-subrc = 0.
    Do nothing.
    Else
    Cancel the job
    call function 'BP_JOB_ABORT'
      exporting
       jobcount                         = number
        jobname                          = name
    EXCEPTIONS
       CHECKING_OF_JOB_HAS_FAILED       = 1
       JOB_ABORT_HAS_FAILED             = 2
       JOB_DOES_NOT_EXIST               = 3
       JOB_IS_NOT_ACTIVE                = 4
       NO_ABORT_PRIVILEGE_GIVEN         = 5
       OTHERS                           = 6
    The above code is cancelling the job but it is throwing an exception called CX_SY_DYN_CALL_PARAM_MISSING because i dint pass job count. How can we find the job count of next job that is going to run? Or How to handle the exception which it is throwing. Even if i try to handle that exception something like this:
    TRY
    call function 'BP_JOB_ABORT'
      exporting
       jobcount                         = number
        jobname                          = name
    EXCEPTIONS
       CHECKING_OF_JOB_HAS_FAILED       = 1
       JOB_ABORT_HAS_FAILED             = 2
       JOB_DOES_NOT_EXIST               = 3
       JOB_IS_NOT_ACTIVE                = 4
       NO_ABORT_PRIVILEGE_GIVEN         = 5
       OTHERS                           = 6
    RAISE EXCEPTION TYPE CX_SY_DYN_CALL_PARAM_MISSING.
    CATCH
    CX_SY_DYN_CALL_PARAM_MISSING.
    ENDTRY.
    It avoids the exception but it doesnt cancel the job.  I even tried with function modules like JOB_OPEN
    JOB_SUBMIT,BP_JOB_SELECT,BP_JOB_ABORT and tried to build some logic using status overview table (TBTCO) and TBTCP (Jobstep overview table).
    Can someone suggest me the right way to write this program ?
    Thanks in advance.
    Rashmi

    Hi,
    Problem is solved.
    Create an background job with 2 steps. The first step in the background job calls the program ZBACKJOB_STEP1.  In the variant we have a wrong material number
    If the material number is not found in Mara, the next step in the job should not get executed and the job should get cancelled..
    In the above posts i had asked how do I get the job count of the job that is currently triggering the program at the runtimeu2026..If u see the below code uu2019ll get to know.. We have to use the standard structure TBTCM which captures the properties/characteristics of the job.
    REPORT ZBACKJOB_STEP1.
    TABLES: MARA,TBTCM.
    PARAMETERS : MATNR TYPE MATNR.
    START-OF-SELECTION.
      SELECT SINGLE * FROM MARA WHERE MATNR = MATNR.
      IF SY-SUBRC IS INITIAL.
        WRITE / : 'This is the material selected on the selection-screen' , MARA-MATNR.
    ELSE.
            CALL FUNCTION 'GET_JOB_RUNTIME_INFO'
          IMPORTING
            EVENTID                                    = TBTCM-EVENTID
            EVENTPARM                             = TBTCM-EVENTPARM
            EXTERNAL_PROGRAM_ACTIVE = TBTCM-XPGACTIVE
            JOBCOUNT                                = TBTCM-JOBCOUNT
            JOBNAME                                  = TBTCM-JOBNAME
            STEPCOUNT                              = TBTCM-STEPCOUNT
          EXCEPTIONS
            NO_RUNTIME_INFO                    = 1
            OTHERS                                     = 2.
        IF SY-SUBRC = 0.
          CALL FUNCTION 'BP_JOB_ABORT'
            EXPORTING
              JOBCOUNT                                     = TBTCM-JOBCOUNT
              JOBNAME                                       = TBTCM-JOBNAME
            EXCEPTIONS
              CHECKING_OF_JOB_HAS_FAILED  = 1
              JOB_ABORT_HAS_FAILED              = 2
              JOB_DOES_NOT_EXIST                   = 3
              JOB_IS_NOT_ACTIVE                      = 4
              NO_ABORT_PRIVILEGE_GIVEN       = 5
              OTHERS                                         = 6.
          IF SY-SUBRC <> 0.
          ENDIF.
        ENDIF.
      ENDIF.
    Regards,
    Rashmi

  • How to trigger the BPM process from WD Application

    Hello All,
    I have a simple business process with two ui activities. I am able to start the process from NWA -> Process Repository.
    But, I need to start the process from the application. Here is the requirement:
    User opens the application. ON completion, the BPM process for approval needs to be triggered. How do i access/obtain process?
    If I need to call a particular task in process, How do i do that?
    Kindly assist.
    Thank you.
    Regards,
    Sharath

    if you want to know the whole story, please refer to the doc
    http://help.sap.com/saphelp_nwce72/helpdata/en/44/4d2bb1c6b00597e10000000a155369/frameset.htm
    the profile, provider system,endpoint。。。。。
    search this doc in sdn, it is a good example regarding the configuration.
    How to Use SOA Configuration to Call RFCs and Web Services from within SAP NetWeaver BPM
    hope those may help.

  • Help!!! My husband by accident synced his account under my account and has merged all of our contacts.  In the process of fixing the mixup has deleted contacts on both phones.  How do I restore the contact list from the original contact list.

    Help!!! My husband by accident synced his account under my account and has merged all of our contacts.  In the process of fixing the mixup has deleted contacts on both phones.  How do I restore the contact list from the original contact list.

    I hope that you aren't complaining about dropped calls INSIDE your condo because no amount of switching or upgrading devices will solve that.
    VZW will not guarantee service inside of any structure. There are just too many factors. If the problem is inside then you might want to look at one of the following:
    1.) Network Extender (may cause issues for others in a condo or apartment style setting)
    2.) A Google Voice Number (Free with a Gmail email address), downloading Google Hangouts Dialer and forwarding your calls to the GVN so that you can make and receive calls over Wi-Fi.

  • How to find the Job Name in the debugging from the SM37

    Hi All,
    Here my problem is i want to update the Actual UOM into MM02 and if new material is coming i need to create the material and UOM in MM01.
    for this requirement i am using RMDATIND standard Direct Input program and I am using Background JOB Schduling by giving name MRP_MATERIAL_MASTER_DATA_LOAD
    I am getting the data into my internal table and i am successfully getting the message "JOB started" once i execute the program.
    then i gone into SM37 there i found my job is completed.
    but when i try to find the data has updated in MM02 or MM01, here i could not found the updated data.
    Can any one can help me in this.
    Thanks & Regards,
    Venkat N

    hi,
    When ever you schedule any job, it gives the name of the job in the screen.
    Now after going to SM37 filter the screen for the time period you did the job and put the user id as your user id, so that it show only your jobs which started from the given time interval
    regards,
    Omkar.

  • How to select the data efficiently from the table

    hi every one,
      i need some help in selecting data from FAGLFLEXA table.i have to select many amounts from different group of G/L accounts
    (groups are predefined here  which contains a set of g/L account no.).
    if i select every time for each group then it will be a performance issue, in order to avoid it what should i do, can any one suggest me a method or a smaple query so that i can perform the task efficiently.

    Hi ,
    1.select and keep the data in internal table
    2.avoid select inside loop ..endloop.
    3.try to use for all entries
    check the below details
    Hi Praveen,
    Performance Notes
    1.Keep the Result Set Small
    You should aim to keep the result set small. This reduces both the amount of memory used in the database system and the network load when transferring data to the application server. To reduce the size of your result sets, use the WHERE and HAVING clauses.
    Using the WHERE Clause
    Whenever you access a database table, you should use a WHERE clause in the corresponding Open SQL statement. Even if a program containing a SELECT statement with no WHERE clause performs well in tests, it may slow down rapidly in your production system, where the data volume increases daily. You should only dispense with the WHERE clause in exceptional cases where you really need the entire contents of the database table every time the statement is executed.
    When you use the WHERE clause, the database system optimizes the access and only transfers the required data. You should never transfer unwanted data to the application server and then filter it using ABAP statements.
    Using the HAVING Clause
    After selecting the required lines in the WHERE clause, the system then processes the GROUP BY clause, if one exists, and summarizes the database lines selected. The HAVING clause allows you to restrict the grouped lines, and in particular, the aggregate expressions, by applying further conditions.
    Effect
    If you use the WHERE and HAVING clauses correctly:
    • There are no more physical I/Os in the database than necessary
    • No unwanted data is stored in the database cache (it could otherwise displace data that is actually required)
    • The CPU usage of the database host is minimize
    • The network load is reduced, since only the data that is required by the application is transferred to the application server.
    Minimize the Amount of Data Transferred
    Data is transferred between the database system and the application server in blocks. Each block is up to 32 KB in size (the precise size depends on your network communication hardware). Administration information is transported in the blocks as well as the data.
    To minimize the network load, you should transfer as few blocks as possible. Open SQL allows you to do this as follows:
    Restrict the Number of Lines
    If you only want to read a certain number of lines in a SELECT statement, use the UP TO <n> ROWS addition in the FROM clause. This tells the database system only to transfer <n> lines back to the application server. This is more efficient than transferring more lines than necessary back to the application server and then discarding them in your ABAP program.
    If you expect your WHERE clause to return a large number of duplicate entries, you can use the DISTINCT addition in the SELECT clause.
    Restrict the Number of Columns
    You should only read the columns from a database table that you actually need in the program. To do this, list the columns in the SELECT clause. Note here that the INTO CORRESPONDING FIELDS addition in the INTO clause is only efficient with large volumes of data, otherwise the runtime required to compare the names is too great. For small amounts of data, use a list of variables in the INTO clause.
    Do not use * to select all columns unless you really need them. However, if you list individual columns, you may have to adjust the program if the structure of the database table is changed in the ABAP Dictionary. If you specify the database table dynamically, you must always read all of its columns.
    Use Aggregate Functions
    If you only want to use data for calculations, it is often more efficient to use the aggregate functions of the SELECT clause than to read the individual entries from the database and perform the calculations in the ABAP program.
    Aggregate functions allow you to find out the number of values and find the sum, average, minimum, and maximum values.
    Following an aggregate expression, only its result is transferred from the database.
    Data Transfer when Changing Table Lines
    When you use the UPDATE statement to change lines in the table, you should use the WHERE clause to specify the relevant lines, and then SET statements to change only the required columns.
    When you use a work area to overwrite table lines, too much data is often transferred. Furthermore, this method requires an extra SELECT statement to fill the work area. Minimize the Number of Data Transfers
    In every Open SQL statement, data is transferred between the application server and the database system. Furthermore, the database system has to construct or reopen the appropriate administration data for each database access. You can therefore minimize the load on the network and the database system by minimizing the number of times you access the database.
    Multiple Operations Instead of Single Operations
    When you change data using INSERT, UPDATE, and DELETE, use internal tables instead of single entries. If you read data using SELECT, it is worth using multiple operations if you want to process the data more than once, other wise, a simple select loop is more efficient.
    Avoid Repeated Access
    As a rule you should read a given set of data once only in your program, and using a single access. Avoid accessing the same data more than once (for example, SELECT before an UPDATE).
    Avoid Nested SELECT Loops
    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. You should therefore only use nested SELECT loops if the selection in the outer loop contains very few lines.
    However, using combinations of data from different database tables is more the rule than the exception in the relational data model. You can use the following techniques to avoid nested SELECT statements:
    ABAP Dictionary Views
    You can define joins between database tables statically and systemwide as views in the ABAP Dictionary. ABAP Dictionary views can be used by all ABAP programs. One of their advantages is that fields that are common to both tables (join fields) are only transferred once from the database to the application server.
    Views in the ABAP Dictionary are implemented as inner joins. If the inner table contains no lines that correspond to lines in the outer table, no data is transferred. This is not always the desired result. For example, when you read data from a text table, you want to include lines in the selection even if the corresponding text does not exist in the required language. If you want to include all of the data from the outer table, you can program a left outer join in ABAP.
    The links between the tables in the view are created and optimized by the database system. Like database tables, you can buffer views on the application server. The same buffering rules apply to views as to tables. In other words, it is most appropriate for views that you use mostly to read data. This reduces the network load and the amount of physical I/O in the database.
    Joins in the FROM Clause
    You can read data from more than one database table in a single SELECT statement by using inner or left outer joins in the FROM clause.
    The disadvantage of using joins is that redundant data is read from the hierarchically-superior table if there is a 1:N relationship between the outer and inner tables. This can considerably increase the amount of data transferred from the database to the application server. Therefore, when you program a join, you should ensure that the SELECT clause contains a list of only the columns that you really need. Furthermore, joins bypass the table buffer and read directly from the database. For this reason, you should use an ABAP Dictionary view instead of a join if you only want to read the data.
    The runtime of a join statement is heavily dependent on the database optimizer, especially when it contains more than two database tables. However, joins are nearly always quicker than using nested SELECT statements.
    Subqueries in the WHERE and HAVING Clauses
    Another way of accessing more than one database table in the same Open SQL statement is to use subqueries in the WHERE or HAVING clause. The data from a subquery is not transferred to the application server. Instead, it is used to evaluate conditions in the database system. This is a simple and effective way of programming complex database operations.
    Using Internal Tables
    It is also possible to avoid nested SELECT loops by placing the selection from the outer loop in an internal table and then running the inner selection once only using the FOR ALL ENTRIES addition. This technique stems from the time before joins were allowed in the FROM clause. On the other hand, it does prevent redundant data from being transferred from the database.
    Using a Cursor to Read Data
    A further method is to decouple the INTO clause from the SELECT statement by opening a cursor using OPEN CURSOR and reading data line by line using FETCH NEXT CURSOR. You must open a new cursor for each nested loop. In this case, you must ensure yourself that the correct lines are read from the database tables in the correct order. This usually requires a foreign key relationship between the database tables, and that they are sorted by the foreign key. Minimize the Search Overhead
    You minimize the size of the result set by using the WHERE and HAVING clauses. To increase the efficiency of these clauses, you should formulate them to fit with the database table indexes.
    Database Indexes
    Indexes speed up data selection from the database. They consist of selected fields of a table, of which a copy is then made in sorted order. If you specify the index fields correctly in a condition in the WHERE or HAVING clause, the system only searches part of the index (index range scan).
    The primary index is always created automatically in the R/3 System. It consists of the primary key fields of the database table. This means that for each combination of fields in the index, there is a maximum of one line in the table. This kind of index is also known as UNIQUE.
    If you cannot use the primary index to determine the result set because, for example, none of the primary index fields occur in the WHERE or HAVING clause, the system searches through the entire table (full table scan). For this case, you can create secondary indexes, which can restrict the number of table entries searched to form the result set.
    You specify the fields of secondary indexes using the ABAP Dictionary. You can also determine whether the index is unique or not. However, you should not create secondary indexes to cover all possible combinations of fields.
    Only create one if you select data by fields that are not contained in another index, and the performance is very poor. Furthermore, you should only create secondary indexes for database tables from which you mainly read, since indexes have to be updated each time the database table is changed. As a rule, secondary indexes should not contain more than four fields, and you should not have more than five indexes for a single database table.
    If a table has more than five indexes, you run the risk of the optimizer choosing the wrong one for a particular operation. For this reason, you should avoid indexes with overlapping contents.
    Secondary indexes should contain columns that you use frequently in a selection, and that are as highly selective as possible. The fewer table entries that can be selected by a certain column, the higher that column’s selectivity. Place the most selective fields at the beginning of the index. Your secondary index should be so selective that each index entry corresponds to at most five percent of the table entries. If this is not the case, it is not worth creating the index. You should also avoid creating indexes for fields that are not always filled, where their value is initial for most entries in the table.
    If all of the columns in the SELECT clause are contained in the index, the system does not have to search the actual table data after reading from the index. If you have a SELECT clause with very few columns, you can improve performance dramatically by including these columns in a secondary index.
    Formulating Conditions for Indexes
    You should bear in mind the following when formulating conditions for the WHERE and HAVING clauses so that the system can use a database index and does not have to use a full table scan.
    Check for Equality and Link Using AND
    The database index search is particularly efficient if you check all index fields for equality (= or EQ) and link the expressions using AND.
    Use Positive Conditions
    The database system only supports queries that describe the result in positive terms, for example, EQ or LIKE. It does not support negative expressions like NE or NOT LIKE.
    If possible, avoid using the NOT operator in the WHERE clause, because it is not supported by database indexes; invert the logical expression instead.
    Using OR
    The optimizer usually stops working when an OR expression occurs in the condition. This means that the columns checked using OR are not included in the index search. An exception to this are OR expressions at the outside of conditions. You should try to reformulate conditions that apply OR expressions to columns relevant to the index, for example, into an IN condition.
    Using Part of the Index
    If you construct an index from several columns, the system can still use it even if you only specify a few of the columns in a condition. However, in this case, the sequence of the columns in the index is important. A column can only be used in the index search if all of the columns before it in the index definition have also been specified in the condition.
    Checking for Null Values
    The IS NULL condition can cause problems with indexes. Some database systems do not store null values in the index structure. Consequently, this field cannot be used in the index.
    Avoid Complex Conditions
    Avoid complex conditions, since the statements have to be broken down into their individual components by the database system.
    Reduce the Database Load
    Unlike application servers and presentation servers, there is only one database server in your system. You should therefore aim to reduce the database load as much as possible. You can use the following methods:
    Buffer Tables on the Application Server
    You can considerably reduce the time required to access data by buffering it in the application server table buffer. Reading a single entry from table T001 can take between 8 and 600 milliseconds, while reading it from the table buffer takes 0.2 - 1 milliseconds.
    Whether a table can be buffered or not depends its technical attributes in the ABAP Dictionary. There are three buffering types:
    • Resident buffering (100%) The first time the table is accessed, its entire contents are loaded in the table buffer.
    • Generic buffering In this case, you need to specify a generic key (some of the key fields) in the technical settings of the table in the ABAP Dictionary. The table contents are then divided into generic areas. When you access data with one of the generic keys, the whole generic area is loaded into the table buffer. Client-specific tables are often buffered generically by client.
    • Partial buffering (single entry) Only single entries are read from the database and stored in the table buffer.
    When you read from buffered tables, the following happens:
    1. An ABAP program requests data from a buffered table.
    2. The ABAP processor interprets the Open SQL statement. If the table is defined as a buffered table in the ABAP Dictionary, the ABAP processor checks in the local buffer on the application server to see if the table (or part of it) has already been buffered.
    3. If the table has not yet been buffered, the request is passed on to the database. If the data exists in the buffer, it is sent to the program.
    4. The database server passes the data to the application server, which places it in the table buffer.
    5. The data is passed to the program.
    When you change a buffered table, the following happens:
    1. The database table is changed and the buffer on the application server is updated. The database interface logs the update statement in the table DDLOG. If the system has more than one application server, the buffer on the other servers is not updated at once.
    2. All application servers periodically read the contents of table DDLOG, and delete the corresponding contents from their buffers where necessary. The granularity depends on the buffering type. The table buffers in a distributed system are generally synchronized every 60 seconds (parameter: rsdisp/bufreftime).
    3. Within this period, users on non-synchronized application servers will read old data. The data is not recognized as obsolete until the next buffer synchronization. The next time it is accessed, it is re-read from the database.
    You should buffer the following types of tables:
    • Tables that are read very frequently
    • Tables that are changed very infrequently
    • Relatively small tables (few lines, few columns, or short columns)
    • Tables where delayed update is acceptable.
    Once you have buffered a table, take care not to use any Open SQL statements that bypass the buffer.
    The SELECT statement bypasses the buffer when you use any of the following:
    • The BYPASSING BUFFER addition in the FROM clause
    • The DISTINCT addition in the SELECT clause
    • Aggregate expressions in the SELECT clause
    • Joins in the FROM clause
    • The IS NULL condition in the WHERE clause
    • Subqueries in the WHERE clause
    • The ORDER BY clause
    • The GROUP BY clause
    • The FOR UPDATE addition
    Furthermore, all Native SQL statements bypass the buffer.
    Avoid Reading Data Repeatedly
    If you avoid reading the same data repeatedly, you both reduce the number of database accesses and reduce the load on the database. Furthermore, a "dirty read" may occur with database tables other than Oracle. This means that the second time you read data from a database table, it may be different from the data read the first time. To ensure that the data in your program is consistent, you should read it once only and then store it in an internal table.
    Sort Data in Your ABAP Programs
    The ORDER BY clause in the SELECT statement is not necessarily optimized by the database system or executed with the correct index. This can result in increased runtime costs. You should only use ORDER BY if the database sort uses the same index with which the table is read. To find out which index the system uses, use SQL Trace in the ABAP Workbench Performance Trace. If the indexes are not the same, it is more efficient to read the data into an internal table or extract and sort it in the ABAP program using the SORT statement.
    Use Logical Databases
    SAP supplies logical databases for all applications. A logical database is an ABAP program that decouples Open SQL statements from application programs. They are optimized for the best possible database performance. However, it is important that you use the right logical database. The hierarchy of the data you want to read must reflect the structure of the logical database, otherwise, they can have a negative effect on performance. For example, if you want to read data from a table right at the bottom of the hierarchy of the logical database, it has to read at least the key fields of all tables above it in the hierarchy. In this case, it is more efficient to use a SELECT statement.
    Work Processes
    Work processes execute the individual dialog steps in R/3 applications. The next two sections describe firstly the structure of a work process, and secondly the different types of work process in the R/3 System.
    Structure of a Work Process
    Work processes execute the dialog steps of application programs. They are components of an application server. The following diagram shows the components of a work process:
    Each work process contains two software processors and a database interface.
    Screen Processor
    In R/3 application programming, there is a difference between user interaction and processing logic. From a programming point of view, user interaction is controlled by screens. As well as the actual input mask, a screen also consists of flow logic. The screen flow logic controls a large part of the user interaction. The R/3 Basis system contains a special language for programming screen flow logic. The screen processor executes the screen flow logic. Via the dispatcher, it takes over the responsibility for communication between the work process and the SAPgui, calls modules in the flow logic, and ensures that the field contents are transferred from the screen to the flow logic.
    ABAP Processor
    The actual processing logic of an application program is written in ABAP - SAP’s own programming language. The ABAP processor executes the processing logic of the application program, and communicates with the database interface. The screen processor tells the ABAP processor which module of the screen flow logic should be processed next. The following screen illustrates the interaction between the screen and the ABAP processors when an application program is running.
    Database Interface
    The database interface provides the following services:
    • Establishing and terminating connections between the work process and the database.
    • Access to database tables
    • Access to R/3 Repository objects (ABAP programs, screens and so on)
    • Access to catalog information (ABAP Dictionary)
    • Controlling transactions (commit and rollback handling)
    • Table buffer administration on the application server.
    The following diagram shows the individual components of the database interface:
    The diagram shows that there are two different ways of accessing databases: Open SQL and Native SQL.
    Open SQL statements are a subset of Standard SQL that is fully integrated in ABAP. They allow you to access data irrespective of the database system that the R/3 installation is using. Open SQL consists of the Data Manipulation Language (DML) part of Standard SQL; in other words, it allows you to read (SELECT) and change (INSERT, UPDATE, DELETE) data. The tasks of the Data Definition Language (DDL) and Data Control Language (DCL) parts of Standard SQL are performed in the R/3 System by the ABAP Dictionary and the authorization system. These provide a unified range of functions, irrespective of database, and also contain functions beyond those offered by the various database systems.
    Open SQL also goes beyond Standard SQL to provide statements that, in conjunction with other ABAP constructions, can simplify or speed up database access. It also allows you to buffer certain tables on the application server, saving excessive database access. In this case, the database interface is responsible for comparing the buffer with the database. Buffers are partly stored in the working memory of the current work process, and partly in the shared memory for all work processes on an application server. Where an R/3 System is distributed across more than one application server, the data in the various buffers is synchronized at set intervals by the buffer management. When buffering the database, you must remember that data in the buffer is not always up to date. For this reason, you should only use the buffer for data which does not often change.
    Native SQL is only loosely integrated into ABAP, and allows access to all of the functions contained in the programming interface of the respective database system. Unlike Open SQL statements, Native SQL statements are not checked and converted, but instead are sent directly to the database system. Programs that use Native SQL are specific to the database system for which they were written. R/3 applications contain as little Native SQL as possible. In fact, it is only used in a few Basis components (for example, to create or change table definitions in the ABAP Dictionary).
    The database-dependent layer in the diagram serves to hide the differences between database systems from the rest of the database interface. You choose the appropriate layer when you install the Basis system. Thanks to the standardization of SQL, the differences in the syntax of statements are very slight. However, the semantics and behavior of the statements have not been fully standardized, and the differences in these areas can be greater. When you use Native SQL, the function of the database-dependent layer is minimal.
    Types of Work Process
    Although all work processes contain the components described above, they can still be divided into different types. The type of a work process determines the kind of task for which it is responsible in the application server. It does not specify a particular set of technical attributes. The individual tasks are distributed to the work processes by the dispatcher.
    Before you start your R/3 System, you determine how many work processes it will have, and what their types will be. The dispatcher starts the work processes and only assigns them tasks that correspond to their type. This means that you can distribute work process types to optimize the use of the resources on your application servers.
    The following diagram shows again the structure of an application server, but this time, includes the various possible work process types:
    The various work processes are described briefly below. Other parts of this documentation describe the individual components of the application server and the R/3 System in more detail.
    Dialog Work Process
    Dialog work processes deal with requests from an active user to execute dialog steps.
    Update Work Process
    Update work processes execute database update requests. Update requests are part of an SAP LUW that bundle the database operations resulting from the dialog in a database LUW for processing in the background.
    Background Work Process
    Background work processes process programs that can be executed without user interaction (background jobs).
    Enqueue Work Process
    The enqueue work process administers a lock table in the shared memory area. The lock table contains the logical database locks for the R/3 System and is an important part of the SAP LUW concept. In an R/3 System, you may only have one lock table. You may therefore also only have one application server with enqueue work processes.
    Spool Work Process
    The spool work process passes sequential datasets to a printer or to optical archiving. Each application server may contain several spool work process.
    The services offered by an application server are determined by the types of its work processes. One application server may, of course, have more than one function. For example, it may be both a dialog server and the enqueue server, if it has several dialog work processes and an enqueue work process.
    You can use the system administration functions to switch a work process between dialog and background modes while the system is still running. This allows you, for example, to switch an R/3 System between day and night operation, where you have more dialog than background work processes during the day, and the other way around during the night.
    ABAP Application Server
    R/3 programs run on application servers. They are an important component of the R/3 System. The following sections describe application servers in more detail.
    Structure of an ABAP Application Server
    The application layer of an R/3 System is made up of the application servers and the message server. Application programs in an R/3 System are run on application servers. The application servers communicate with the presentation components, the database, and also with each other, using the message server.
    The following diagram shows the structure of an application server:
    The individual components are:
    Work Processes
    An application server contains work processes, which are components that can run an application. Work processes are components that are able to execute an application (that is, one dialog step each). Each work process is linked to a memory area containing the context of the application being run. The context contains the current data for the application program. This needs to be available in each dialog step. Further information about the different types of work process is contained later on in this documentation.
    Dispatcher
    Each application server contains a dispatcher. The dispatcher is the link between the work processes and the users logged onto the application server. Its task is to receive requests for dialog steps from the SAP GUI and direct them to a free work process. In the same way, it directs screen output resulting from the dialog step back to the appropriate user.
    Gateway
    Each application server contains a gateway. This is the interface for the R/3 communication protocols (RFC, CPI/C). It can communicate with other application servers in the same R/3 System, with other R/3 Systems, with R/2 Systems, or with non-SAP systems.
    The application server structure as described here aids the performance and scalability of the entire R/3 System. The fixed number of work processes and dispatching of dialog steps leads to optimal memory use, since it means that certain components and the memory areas of a work process are application-independent and reusable. The fact that the individual work processes work independently makes them suitable for a multi-processor architecture. The methods used in the dispatcher to distribute tasks to work processes are discussed more closely in the section Dispatching Dialog Steps.
    Shared Memory
    All of the work processes on an application server use a common main memory area called shared memory to save contexts or to buffer constant data locally.
    The resources that all work processes use (such as programs and table contents) are contained in shared memory. Memory management in the R/3 System ensures that the work processes always address the correct context, that is the data relevant to the current state of the program that is running. A mapping process projects the required context for a dialog step from shared memory into the address of the relevant work process. This reduces the actual copying to a minimum.
    Local buffering of data in the shared memory of the application server reduces the number of database reads required. This reduces access times for application programs considerably. For optimal use of the buffer, you can concentrate individual applications (financial accounting, logistics, human resources) into separate application server groups.
    Database Connection
    When you start up an R/3 System, each application server registers its work processes with the database layer, and receives a single dedicated channel for each. While the system is running, each work process is a user (client) of the database system (server). You cannot change the work process registration while the system is running. Neither can you reassign a database channel from one work process to another. For this reason, a work process can only make database changes within a single database logical unit of work (LUW). A database LUW is an inseparable sequence of database operations. This has important consequences for the programming model explained below.
    Dispatching Dialog Steps
    The number of users logged onto an application server is often many times greater than the number of available work processes. Furthermore, it is not restricted by the R/3 system architecture. Furthermore, each user can run several applications at once. The dispatcher has the important task of distributing all dialog steps among the work processes on the application server.
    The following diagram is an example of how this might happen:
    1. The dispatcher receives the request to execute a dialog step from user 1 and directs it to work process 1, which happens to be free. The work process addresses the context of the application program (in shared memory) and executes the dialog step. It then becomes free again.
    2. The dispatcher receives the request to execute a dialog step from user 2 and directs it to work process 1, which is now free again. The work process executes the dialog step as in step 1.
    3. While work process 1 is still working, the dispatcher receives a further request from user 1 and directs it to work process 2, which is free.
    4. After work processes 1 and 2 have finished processing their dialog steps, the dispatcher receives another request from user 1 and directs it to work process 1, which is free again.
    5. While work process 1 is still working, the dispatcher receives a further request from user 2 and directs it to work process 2, which is free.
    From this example, we can see that:
    • A dialog step from a program is assigned to a single work process for execution.
    • The individual dialog steps of a program can be executed on different work processes, and the program context must be addressed for each new work process.
    • A work process can execute dialog steps of different programs from different users.
    The example does not show that the dispatcher tries to distribute the requests to the work processes such that the same work process is used as often as possible for the successive dialog steps in an application. This is useful, since it saves the program context having to be addressed each time a dialog step is executed.
    Dispatching and the Programming Model
    The separation of application and presentation layer made it necessary to split up application programs into dialog steps. This, and the fact that dialog steps are dispatched to individual work processes, has had important consequences for the programming model.
    As mentioned above, a work process can only make database changes within a single database logical unit of work (LUW). A database LUW is an inseparable sequence of database operations. The contents of the database must be consistent at its beginning and end. The beginning and end of a database LUW are defined by a commit command to the database system (database commit). During a database LUW, that is, between two database commits, the database system itself ensures consistency within the database. In other words, it takes over tasks such as locking database entries while they are being edited, or restoring the old data (rollback) if a step terminates in an error.
    A typical SAP application program extends over several screens and the corresponding dialog steps. The user requests database changes on the individual screens that should lead to the database being consistent once the screens have all been processed. However, the individual dialog steps run on different work processes, and a single work process can process dialog steps from other applications. It is clear that two or more independent applications whose dialog steps happen to be processed on the same work process cannot be allowed to work with the same database LUW.
    Consequently, a work process must open a separate database LUW for each dialog step. The work process sends a commit command (database commit) to the database at the end of each dialog step in which it makes database changes. These commit commands are called implicit database commits, since they are not explicitly written into the application program.
    These implicit database commits mean that a database LUW can be kept open for a maximum of one dialog step. This leads to a considerable reduction in database load, serialization, and deadlocks, and enables a large number of users to use the same system.
    However, the question now arises of how this method (1 dialog step = 1 database LUW) can be reconciled with the demand to make commits and rollbacks dependent on the logical flow of the application program instead of the technical distribution of dialog steps. Database update requests that depend on one another form logical units in the program that extend over more than one dialog step. The database changes associated with these logical units must be executed together and must also be able to be undone together.
    The SAP programming model contains a series of bundling techniques that allow you to group database updates together in logical units. The section of an R/3 application program that bundles a set of logically-associated database operations is called an SAP LUW. Unlike a database LUW, a SAP LUW includes all of the dialog steps in a logical unit, including the database update.
    Happy Reading...
    shibu

Maybe you are looking for