How to use CACS_SHOW_MASSLOG - Display Logs for Mass Processing


SAP Transaction Code - Details

  • Transaction Code: CACS_SHOW_MASSLOG

    Description: Display Logs for Mass Processing

    Release: S/4HANA and ECC 6

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    • Program: CACS_SHOW_MASSLOG_ALV

      Screen: 1000

      Authorization Object:

    • Development Package: CACSCC

      Package Description: ICM: Commission Case 'Light'

      Parent Package: CACS00

    • Module/Component: ICM

      Description: Incentive and Commission Management (ICM)


Smart SAP Assistant

  • SAP Tcode: CACS_SHOW_MASSLOG - Display Logs for Mass Processing
    
    Overview: 
    CACS_SHOW_MASSLOG is a SAP transaction code used to display logs for mass processing. It is used to view the log of a mass processing job, which can be used to troubleshoot any errors that may have occurred during the job. 
    
    Functionality: 
    This transaction code allows users to view the log of a mass processing job. The log contains information about the job, such as the start and end time, the number of records processed, and any errors that may have occurred. This information can be used to troubleshoot any issues that may have occurred during the job. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code CACS_SHOW_MASSLOG in the command field. 
    2. Enter the name of the mass processing job in the Job Name field. 
    3. Click on Execute. 
    4. The log of the mass processing job will be displayed in a new window. 
    5. Review the log for any errors or warnings that may have occurred during the job. 
    6. If necessary, take corrective action to resolve any issues that may have occurred during the job. 
    7. Close the window when finished viewing the log. 
    
    Other Recommendations: 
    It is recommended that users review the log of a mass processing job after it has been completed in order to ensure that it ran successfully and no errors or warnings occurred during its execution. This can help prevent any potential issues from occurring in future jobs and ensure that data is processed correctly.
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