How to use REISREPPP - Traitement parallèle reporting

SAP Transaction Code - Details

• Transaction Code: REISREPPP

  Description: Traitement parallèle reporting

  Release: S/4HANA and ECC 6

  Menu Path:

  • Accounting > Flexible Real Estate Management > Tools > Current Settings > Parallel Processing of Reporting

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: RE_IS_CA

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: REISREPPP - Traitement parallèle reporting

  
  Overview:
  The SAP transaction code REISREPPP is used to enable parallel processing of reporting in the SAP system. This code allows users to run multiple reports simultaneously, which can significantly reduce the time it takes to generate reports. 
  
  Functionality: 
  The REISREPPP transaction code allows users to run multiple reports at the same time, which can significantly reduce the time it takes to generate reports. This code also allows users to set up a “parallel processing” environment, which enables them to run multiple reports in parallel. This can be especially useful when running large and complex reports. 
  
  Step-by-step How to Use: 
  To use the REISREPPP transaction code, users must first set up a “parallel processing” environment. This can be done by selecting the “Parallel Processing” option from the menu bar. Once this is done, users can then select the reports they wish to run in parallel and click “Run”. The system will then generate the reports in parallel, significantly reducing the time it takes to generate them. 
  
  Other Recommendations: 
  When using the REISREPPP transaction code, it is important to ensure that all of the reports being run are compatible with each other. If they are not, then the system may not be able to generate them in parallel. Additionally, it is important to ensure that all of the reports being run have sufficient resources available for them to be generated in parallel. If there are not enough resources available, then the system may not be able to generate them in parallel.