How To Fix CNV_10020093 - Data for &1 &2 has not yet been written into an object table


CNV_10020093 - Overview

  • Message type: E = Error

  • Message class: CNV_10020 - Message class for package 10020

  • Message number: 093

  • Message text: Data for &1 &2 has not yet been written into an object table

  • Show details Hide details
  • What causes this issue?

    Determination using the object tables of the database is supposed to
    take place. However no data for &V1& &V2& has been written to any of the
    object tables yet.

    How to fix this error?

    Start the filling process of the object tables for &V1& &V2&, then
    repeat the determination.
    <ZH>Note:</> Alternatively, you can change the
    <DS:DE.CNV_10020_DTTYPE>determination type</> so that the data
    determined later during the conversion.
    If you are in test mode, you can set the indicator for single
    determination on the selection screen. As a consequence, the
    determination type is temporarily overruled.

    Error message extract from SAP system. Copyright SAP SE.


CNV_10020093 - Details

  • The SAP error message CNV_10020093 indicates that data for a specific object (identified by placeholders &1 and &2) has not yet been written into an object table. This error typically arises during data migration or conversion processes, particularly when using SAP's data migration tools or during system upgrades.
    
    Cause: Incomplete Data Migration: The data for the specified object has not been fully processed or written to the target table.
    Configuration Issues: There may be configuration settings that prevent the data from being written correctly. Data Validation Errors: The data being migrated may not meet the necessary validation criteria, causing it to be skipped. Process Interruption: The migration process may have been interrupted or failed at some point, leading to incomplete data being written.
    Solution: Check Migration Logs: Review the migration logs for any errors or warnings that occurred during the data migration process. This can provide insights into why the data was not written. Re-run the Migration: If

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