How to use /PF1/LOG_SEARCH_MSG - Runtime Info for Parall. Processes


SAP Transaction Code - Details

  • Transaction Code: /PF1/LOG_SEARCH_MSG

    Description: Runtime Info for Parall. Processes

    Release: S/4HANA only

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    • Program: /PF1/R_LOG_SEARCH_MSG

      Screen: 1000

      Authorization Object: /PF1/ALOGS

    • Development Package: /PF1/BPE_LOG_COMMON

      Package Description: ABAP Dictionary Definitions for Application Log Package

      Parent Package: /PF1/BPE_APPLICATION_LOG

    • Module/Component: FIN-FSCM-PF

      Description: Payment Factory


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  • SAP Tcode: /PF1/LOG_SEARCH_MSG - Runtime Info for Parall. Processes
    
    Overview:
    The SAP transaction code /PF1/LOG_SEARCH_MSG is used to display runtime information for parallel processes. This code is used to monitor the progress of parallel processes and to identify any errors that may have occurred during the process. 
    
    Functionality:
    This transaction code allows users to view the runtime information for parallel processes, including the start and end times of each process, the number of processes that were started, and the number of processes that were completed. It also provides information about any errors that occurred during the process, such as timeouts or system errors. 
    
    Step-by-step How to Use:
    1. Enter the transaction code /PF1/LOG_SEARCH_MSG in the command field. 
    2. Select the “Parallel Processes” tab. 
    3. Select the “Runtime Info” tab. 
    4. Enter the name of the parallel process you want to view in the “Process Name” field. 
    5. Click “Execute” to view the runtime information for the selected process. 
    6. To view any errors that occurred during the process, select the “Error Log” tab and click “Execute”. 
    7. To view a list of all parallel processes that have been executed, select the “Process List” tab and click “Execute”. 
    
    Other Recommendations:
    It is recommended that users regularly check this transaction code for any errors or issues that may have occurred during parallel processes, as this can help identify potential problems before they become more serious issues. Additionally, users should ensure that all parallel processes are properly monitored and managed in order to ensure optimal performance and reliability.
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