How to use ESARA10 - IS-U Archivierung:Verbrauchsfaktoren


SAP Transaction Code - Details

  • Transaction Code: ESARA10

    Description: IS-U Archivierung:Verbrauchsfaktoren

    Release: S/4HANA and ECC 6

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    • Program:

      Screen: 0

      Authorization Object:

    • Development Package: EE26_ARCHIVE

      Package Description: IS-U: Archiving

      Parent Package: IS-U/CCS

    • Module/Component: IS-U-TO-ARC

      Description: Archiving


Smart SAP Assistant

  • SAP Tcode: ESARA10 - IS-U Archivierung:Verbrauchsfaktoren
    
    Overview:
    ESARA10 is a transaction code used in the SAP IS-U system. It is used to archive usage factors, which are used to calculate the amount of energy consumed by a customer. This transaction code is part of the IS-U Archiving application, which is used to store and manage archived data. 
    
    Functionality: 
    ESARA10 allows users to archive usage factors in the SAP IS-U system. Usage factors are used to calculate the amount of energy consumed by a customer. This transaction code also allows users to view archived usage factors and delete them if necessary. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code ESARA10 in the command field. 
    2. Select the “Archive” option from the menu bar. 
    3. Select the usage factor that you want to archive from the list of available options. 
    4. Enter the date range for which you want to archive the usage factor. 
    5. Click “Execute” to start archiving the usage factor. 
    6. Once archiving is complete, you can view the archived usage factor by selecting “Display” from the menu bar. 
    7. To delete an archived usage factor, select “Delete” from the menu bar and enter the date range for which you want to delete it. 
    
    Other Recommendations: 
    It is recommended that users regularly check their archived usage factors to ensure that they are up-to-date and accurate. Additionally, users should be aware that archiving usage factors can take some time, so it is important to plan accordingly when archiving large amounts of data.
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