How To Fix LTR2_ES_ANA053 - &1 contains now &2 records for &3


SAP Error Message - Details

  • Message type: E = Error

  • Message class: LTR2_ES_ANA -

  • Message number: 053

  • Message text: &1 contains now &2 records for &3

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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 LTR2_ES_ANA053 - &1 contains now &2 records for &3 ?

    The SAP error message LTR2_ES_ANA053 typically indicates an issue related to the data extraction or analysis process in the SAP system, particularly in the context of SAP BW (Business Warehouse) or SAP HANA. The message suggests that a certain entity (like a data source or a table) is expected to contain a specific number of records, but it currently contains a different number of records than anticipated.

    Cause:

    1. Data Load Issues: The data extraction process may not have completed successfully, leading to an incomplete dataset.
    2. Data Source Configuration: The data source may not be configured correctly, resulting in an incorrect number of records being pulled.
    3. Data Transformation Errors: If there are transformations applied to the data during the extraction process, errors in these transformations could lead to discrepancies in the expected record count.
    4. Data Deletion or Archiving: Records may have been deleted or archived in the source system, leading to fewer records than expected.
    5. Timing Issues: If the data extraction is run at a time when the source data is being updated or modified, it may lead to inconsistencies.

    Solution:

    1. Check Data Load Status: Verify the status of the data load process. Ensure that the data has been loaded successfully without errors.
    2. Review Data Source Configuration: Check the configuration of the data source to ensure it is set up correctly and pointing to the right tables or views.
    3. Validate Data Transformations: If there are any transformations applied during the data extraction, review them for errors or misconfigurations.
    4. Re-run Data Extraction: If the data load was incomplete, re-run the data extraction process to ensure all records are captured.
    5. Check for Data Deletion: Investigate if any records have been deleted or archived in the source system that could affect the record count.
    6. Consult Logs: Review the logs for any errors or warnings that occurred during the data extraction process.

    Related Information:

    • Transaction Codes: You may want to use transaction codes like RSA1 (Data Warehousing Workbench) to monitor and manage data loads.
    • SAP Notes: Check SAP Notes for any known issues related to this error message. SAP frequently updates its knowledge base with solutions to common problems.
    • Documentation: Refer to SAP documentation for specific details on data extraction processes and troubleshooting steps.

    If the issue persists after following these steps, it may be beneficial to consult with your SAP Basis or BW team for further investigation, as they may have more insights into the specific configurations and data flows in your environment.

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