How To Fix SIC_DUPL_RULESET033 - Line &1: Metadata error: View is missing. Error checking view column &2


SAP Error Message - Details

  • Message type: E = Error

  • Message class: SIC_DUPL_RULESET - Rulesets for ICM Duplicate Check

  • Message number: 033

  • Message text: Line &1: Metadata error: View is missing. Error checking view column &2

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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 SIC_DUPL_RULESET033 - Line &1: Metadata error: View is missing. Error checking view column &2 ?
    The SAP error message SIC_DUPL_RULESET033 indicates that there is a metadata issue related to a view in the system. Specifically, it suggests that a view is missing, which is causing problems when checking a specific column in that view. Here’s a breakdown of the cause, potential solutions, and related information:
    Cause
    
    Missing View: The error typically arises when the system is trying to access a view that does not exist or has been deleted.
    Incorrect Configuration: There may be a configuration issue where the view is not properly defined in the system.
    Transport Issues: If the view was recently transported from another system, it may not have been transported correctly.
    Database Issues: There could be underlying database issues that prevent the view from being accessed.
    
    Solution
    
    
    Check View Existence: Verify if the view mentioned in the error message actually exists in the database. You can do this by using transaction codes like SE11 (Data Dictionary) or SE16

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