How To Fix RS_PSA_DEP050 - Conversion of table &1 (write-optimized DataStore object &2) started


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RS_PSA_DEP -

  • Message number: 050

  • Message text: Conversion of table &1 (write-optimized DataStore object &2) started

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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 RS_PSA_DEP050 - Conversion of table &1 (write-optimized DataStore object &2) started ?
    The SAP error message RS_PSA_DEP050 typically indicates an issue related to the conversion of a table in a write-optimized DataStore object (DSO). This error can occur during the data loading process when the system attempts to convert data from the PSA (Persistent Staging Area) to the write-optimized DSO.
    
    Cause: The error can be caused by several factors, including: Data Consistency Issues: There may be inconsistencies in the data being loaded into the DSO, such as duplicate records or data type mismatches. Locking Issues: The DSO might be locked by another process, preventing the conversion from completing.
    Configuration Issues: Incorrect settings in the DSO or PSA configuration can lead to conversion errors. Data Volume: Large volumes of data can sometimes lead to performance issues or timeouts during the conversion process. System Resource Limitations: Insufficient memory or processing power can hinder the conversion process.
    Solution: To resolve the RS_PSA_DEP050 error, you can take the following steps: Check Data Consistency: Review the data in

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