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How To Fix EAR_LEGAL_REPORT023 - Unexpected end-of-file found in dataset & (record type 3 is missing)


SAP Error Message - Details

  • Message type: E = Error

  • Message class: EAR_LEGAL_REPORT - ARGENTINA: Legal report message class

  • Message number: 023

  • Message text: Unexpected end-of-file found in dataset & (record type 3 is missing)

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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.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message EAR_LEGAL_REPORT023 - Unexpected end-of-file found in dataset & (record type 3 is missing) ?

    The SAP error message EAR_LEGAL_REPORT023 indicates that there is an unexpected end-of-file in a dataset, specifically noting that a record of type 3 is missing. This error typically occurs during the processing of legal reports or data extraction processes in SAP, particularly in the context of electronic reporting or data submissions.

    Cause:

    1. Incomplete Data File: The dataset being processed may be incomplete or corrupted, leading to missing records.
    2. Incorrect File Format: The file may not conform to the expected format, causing the system to not recognize the necessary record types.
    3. Data Extraction Issues: There may have been issues during the data extraction process, resulting in missing or improperly formatted records.
    4. System Errors: Temporary system issues or interruptions during the data generation or transfer process can lead to incomplete datasets.

    Solution:

    1. Check the Dataset: Verify the integrity of the dataset being processed. Ensure that all required records, including record type 3, are present.
    2. Re-generate the Report: If the dataset is incomplete, try re-generating the report or data file to ensure that all necessary records are included.
    3. Validate File Format: Ensure that the file adheres to the expected format and structure required by SAP. This may involve checking delimiters, record types, and overall file structure.
    4. Review Logs: Check the application logs or error logs for any additional information that may provide insight into why the record is missing.
    5. Consult Documentation: Refer to SAP documentation or notes related to the specific legal report you are working with for any known issues or additional troubleshooting steps.
    6. Contact SAP Support: If the issue persists after checking the above points, consider reaching out to SAP support for further assistance.

    Related Information:

    • SAP Notes: Look for relevant SAP Notes that may address this specific error or provide guidance on similar issues.
    • Transaction Codes: Familiarize yourself with transaction codes related to legal reporting and data extraction in SAP, such as SARA (Archive Administration) or S_ALR_87012084 (for reporting).
    • Data Validation: Implement data validation checks before generating reports to catch potential issues early in the process.
    • Testing Environment: If possible, replicate the issue in a testing environment to troubleshoot without affecting production data.

    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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