How To Fix IU026 - Table &: Conversion processes still working


SAP Error Message - Details

  • Message type: E = Error

  • Message class: IU - Incremental Conversion (ICNV)

  • Message number: 026

  • Message text: Table &: Conversion processes still working

  • Show details Hide details
  • What causes this issue?

    The current table should be brought to another status. At the same
    time, at least one conversion process is running to transfer data. The
    two process types mutually exclude each other.

    System Response

    The table is skipped and the program is continued normally. A status
    switch is usually compulsory. You therefore have to try again after
    finishing the data transfer.

    How to fix this error?

    If your system is being upgraded, repeat the current upgrade phase. In
    all other cases, deschedule the conversion processes using Transaction
    ICNV, wait for the conversion processes to finish and then repeat the
    status switch.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message IU026 - Table &: Conversion processes still working ?
    The SAP error message IU026, which states "Table &: Conversion processes still working," typically indicates that there are ongoing conversion processes related to the specified table in the SAP system. This error can occur during various operations, such as data updates, migrations, or when trying to access or modify data in a table that is currently being processed.
    
    Cause: Ongoing Conversion Processes: The most common cause of this error is that a background job or a conversion process is still running for the specified table. This could be due to data migration, updates, or other batch processes that are modifying the table. Locking Mechanism: SAP uses a locking mechanism to prevent data inconsistencies. If a process is still working on the table, it will lock the table, leading to this error when another process tries to access it. Long-Running Jobs: Sometimes, jobs may take longer than expected due to large data volumes or performance

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