How To Fix RSODSO_ROLLBACK200 - ***messages for MPP (massively parallel processing)


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSODSO_ROLLBACK - DataStore Object: Messages for rollback

  • Message number: 200

  • Message text: ***messages for MPP (massively parallel processing)

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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSODSO_ROLLBACK200 - ***messages for MPP (massively parallel processing) ?

    The SAP error message RSODSO_ROLLBACK200 typically occurs in the context of data loading processes in SAP BW (Business Warehouse) when using the Massively Parallel Processing (MPP) framework. This error indicates that there was a rollback during the data loading process, which can be caused by various issues.

    Causes of RSODSO_ROLLBACK200

    1. Data Consistency Issues: If the data being loaded has inconsistencies or violates constraints (like primary key violations), the system may trigger a rollback.

    2. Memory Issues: Insufficient memory allocation for the process can lead to failures during data processing, causing a rollback.

    3. Lock Conflicts: If there are locks on the data being processed (e.g., due to other processes accessing the same data), it can lead to a rollback.

    4. Configuration Issues: Incorrect settings in the data source, transformation, or data target can lead to errors during the data load.

    5. Network Issues: Temporary network issues or interruptions can cause the data load to fail.

    6. Data Type Mismatches: If the data types in the source do not match the target, it can lead to errors.

    Solutions to RSODSO_ROLLBACK200

    1. Check Data Consistency: Review the data being loaded for any inconsistencies or violations of constraints. Ensure that the data adheres to the expected formats and values.

    2. Increase Memory Allocation: If memory issues are suspected, consider increasing the memory allocation for the BW system or optimizing the data load process.

    3. Review Locks: Check for any locks on the data being processed. You can use transaction codes like SM12 to view and manage locks.

    4. Validate Configuration: Ensure that the configurations for the data source, transformation, and data target are correct. Review the settings in the Data Transfer Process (DTP) and ensure they are properly set up.

    5. Monitor Network Stability: Ensure that the network connection is stable and that there are no interruptions during the data load process.

    6. Check Data Types: Verify that the data types in the source match those in the target. Make necessary adjustments in the transformation rules if there are mismatches.

    7. Review Logs: Check the detailed logs for the data load process to identify specific errors or warnings that can provide more context about the failure.

    8. Retry the Load: After addressing the issues, retry the data load process to see if the error persists.

    Related Information

    • Transaction Codes: Use transaction codes like RSA1 (Data Warehousing Workbench) to monitor and manage data loads.
    • SAP Notes: Check SAP Notes for any known issues or patches related to the error message. SAP frequently updates its knowledge base with solutions for common errors.
    • Performance Tuning: Consider performance tuning for your BW system to handle large data volumes more efficiently, especially when using MPP.

    If the issue persists after trying the above solutions, it may be beneficial to consult with SAP support or your technical team for further investigation.

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