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How To Fix CNV_DMC_HC110 - &1 - &2: Unprocessed records exist in logging tables (threshold reached)


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CNV_DMC_HC -

  • Message number: 110

  • Message text: &1 - &2: Unprocessed records exist in logging tables (threshold reached)

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message CNV_DMC_HC110 - &1 - &2: Unprocessed records exist in logging tables (threshold reached) ?

    The SAP error message CNV_DMC_HC110 indicates that there are unprocessed records in the logging tables related to a data migration or conversion process, and that a certain threshold has been reached. This error typically occurs during the execution of the Data Migration Cockpit (DMC) or during a data migration project using SAP's tools.

    Cause:

    1. Unprocessed Records: The error suggests that there are records in the logging tables that have not been processed successfully. This could be due to various reasons, such as:

      • Data inconsistencies or validation errors.
      • Issues with the mapping of data from the source to the target system.
      • System performance issues leading to timeouts or failures during processing.
    2. Threshold Limit: The error indicates that a predefined threshold for unprocessed records has been reached. This threshold is set to prevent the system from being overwhelmed by too many unprocessed records, which could affect performance and data integrity.

    Solution:

    To resolve this error, you can follow these steps:

    1. Check Logging Tables:

      • Access the logging tables related to the migration process to identify the unprocessed records. You can use transaction codes like SE11 or SE16 to view the contents of the relevant tables.
      • Look for specific error messages or codes that indicate why the records were not processed.
    2. Analyze Errors:

      • Review the error logs to understand the reasons for the unprocessed records. This may involve checking for data quality issues, mapping errors, or other inconsistencies.
    3. Correct Data Issues:

      • If the unprocessed records are due to data quality issues, correct the data in the source system or in the migration files.
      • Ensure that the data mapping is correctly defined and that all required fields are populated.
    4. Adjust Threshold Settings (if necessary):

      • If you find that the threshold is too low for your specific migration scenario, you may consider adjusting the threshold settings in the configuration. However, this should be done with caution and ideally after addressing the root cause of the unprocessed records.
    5. Re-run the Migration:

      • After addressing the issues, re-run the migration process to see if the error persists. Monitor the logs closely to ensure that records are being processed successfully.
    6. Consult Documentation:

      • Refer to SAP documentation or notes related to the Data Migration Cockpit for any specific guidance or updates regarding this error message.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may provide additional insights or solutions for this specific error message.
    • Data Migration Cockpit: Familiarize yourself with the Data Migration Cockpit and its functionalities, as well as best practices for data migration.
    • Performance Monitoring: Monitor system performance during the migration process to identify any bottlenecks or issues that may lead to unprocessed records.

    By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.

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