How To Fix RSIM007 - Data load ended with errors


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSIM - Messages for BI KPI monitoring and Health Checks

  • Message number: 007

  • Message text: Data load ended with errors

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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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    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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSIM007 - Data load ended with errors ?

    The SAP error message RSIM007, which indicates that a data load ended with errors, typically occurs during the data extraction or loading process in SAP BW (Business Warehouse) or SAP BI (Business Intelligence). This error can arise from various issues, and understanding the cause is crucial for resolving it. Here are some common causes, potential solutions, and related information:

    Common Causes:

    1. Data Source Issues: The data source may be unavailable or incorrectly configured.
    2. Transformation Errors: There may be issues in the transformation rules that prevent data from being processed correctly.
    3. Data Type Mismatches: Mismatches between the data types in the source and target systems can lead to errors.
    4. Missing or Invalid Data: If the data being loaded contains missing or invalid entries, it can cause the load to fail.
    5. Authorization Issues: The user executing the data load may not have the necessary authorizations to access the data.
    6. Process Chain Failures: If the data load is part of a process chain, other steps in the chain may have failed, causing the entire load to fail.
    7. System Performance Issues: High system load or performance issues can lead to timeouts or failures during data loading.

    Solutions:

    1. Check the Error Log: Review the detailed error log in the SAP BW system to identify the specific cause of the error. You can use transaction codes like RSA1 (Data Warehousing Workbench) or RSMO (Monitor) to check the status of the data load.
    2. Validate Data Source: Ensure that the data source is correctly configured and accessible. Test the connection to the data source.
    3. Review Transformation Rules: Check the transformation rules for any errors or inconsistencies. Make sure that the mappings are correct and that there are no data type mismatches.
    4. Data Quality Checks: Perform data quality checks on the source data to identify and correct any missing or invalid entries.
    5. Check Authorizations: Ensure that the user executing the data load has the necessary authorizations to access the data and perform the load.
    6. Monitor Process Chains: If the data load is part of a process chain, check the status of other steps in the chain to ensure they have completed successfully.
    7. System Performance: Monitor system performance and resource usage. If necessary, schedule data loads during off-peak hours to avoid performance issues.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes such as RSA1, RSMO, RSPC, and RSMO for monitoring and troubleshooting.
    • SAP Notes: Check SAP Notes for any known issues or patches related to the RSIM007 error. SAP frequently updates its knowledge base with solutions to common problems.
    • Documentation: Refer to SAP documentation for best practices in data loading and troubleshooting data load errors.

    By systematically addressing these areas, you should be able to identify the root cause of the RSIM007 error and implement an appropriate solution.

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