How To Fix FINS_ML_ACDOCA_UTIL007 - Successfully compressed table &1 for company &2. &3 records compressed.


FINS_ML_ACDOCA_UTIL007 - Overview

  • Message type: E = Error

  • Message class: FINS_ML_ACDOCA_UTIL - Messages for XPRA

  • Message number: 007

  • Message text: Successfully compressed table &1 for company &2. &3 records compressed.

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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 FINS_ML_ACDOCA_UTIL007 - Successfully compressed table &1 for company &2. &3 records compressed. ?
    The SAP error message FINS_ML_ACDOCA_UTIL007 indicates that the system has successfully compressed the table ACDOCA for a specific company code. This message is not an error in the traditional sense; rather, it is an informational message that confirms the successful execution of a compression operation on the ACDOCA table, which is part of the Universal Journal in SAP S/4HANA.
    
    Cause: The message is generated after a successful execution of a compression job for the ACDOCA table. This table stores line item data for financial accounting and controlling in SAP S/4HANA. Compression is typically performed to reduce the size of the database by aggregating line items based on certain criteria, which can improve performance and reduce storage costs.
    Solution: Since this message indicates a successful operation, there is no action required. However, if you are looking to manage or monitor the compression process, consider the following: Monitor Compression Jobs: Regularly check the status of compression jobs to

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