How to pick the data based on customer number

Hi All ,
greets....
i have a requirement to select  the data based on customer number and then do furthur processing .
example:
this is some 10 dcouments in customer nr:v1000
and 20 documents in customer v2000 in a internal table how to select that,
thank s in advance.

thier is an internal table which is having some 1000records.
and their is 6 customers.
in which i should pick the data based on customer number.
how to write a code for that?

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  • How to extract the data from R/3?

    Gurus,
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    1. Based on below information which extract method I need to use (Generic data  Extraction?)?
    2. I try to create a one view but I could not find Join between the tables. I found only few joins. how to join other tables?
    3. Without joining these table how can I collect the data ?
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    VBAK->             VBELN->        Sales Document
    VBAP->             WERKS->        Plant
    VBAK->              AUART->            Doc Type
    VBAP->             PSTYV->        Item Category
    VBAP->             MATNR->        Material
    VBAP->             ARKTX->        Description
    MATNR->              GROES->     
    VBAP->             ZIEME->        Target Quantity UOM
    VBAP->             WAVWR->        Cost
    VBAK->             ERNAM->        Name of a person who created the object
    VBAKA->             KUNNR->        Customer Number 1
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    QMFE->             FEGRP->        Cause Code(Code Group Problem)
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    QMEL->             QMNUM->        Notification No
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    QMEL->             QMART->        Notification Type
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    ============================================================================================
    Gurus I will assign full points .
    Thanks

    Hi,
    I would use the standard extractor 2lis_11_vaitm and enhance it for the following fields:
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    QMFE-> FEGRP-> Cause Code(Code Group Problem)
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    QMEL-> QMNUM-> Notification No
    EQUI-> EQUNR-> Equipment Number
    QMEL-> QMART-> Notification Type
    QMELI-> ERDAT-> Date on Which Record Was Created
    regards
    Siggi

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