How To Fix ACRSL035 - Error during migration of data in table &1


ACRSL035 - Overview

  • Message type: E = Error

  • Message class: ACRSL - Messages for Depreciation Keys and Calculation Methods

  • Message number: 035

  • Message text: Error during migration of data in table &1

  • Show details Hide details
  • What causes this issue?

    An error occurred during the migration of depreciation keys. This error
    would have led to duplicate entries in table &v1&. The system deleted
    the duplicate entry, so that the data could be saved nonetheless. The
    key of the duplicate entry is: &v2& &v3& &v4&

    System Response

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

    How to fix this error?

    Contact SAP Support, component FI-AA.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message ACRSL035 - Error during migration of data in table &1 ?
    The SAP error message ACRSL035 indicates that there was an error during the migration of data in a specific table (denoted by &1). This error typically occurs during data migration processes, such as when using the SAP S/4HANA Migration Cockpit or other data migration tools.
    Causes:
    
    Data Inconsistencies: The data being migrated may have inconsistencies or invalid entries that do not meet the requirements of the target table.
    Missing Required Fields: Required fields in the target table may not be populated in the source data.
    Data Type Mismatches: There may be mismatches between the data types of the source and target fields.
    Foreign Key Violations: The data being migrated may violate foreign key constraints in the target table.
    Technical Issues: There could be technical issues such as database locks, connectivity problems, or system resource limitations.
    
    Solutions:
    
    Check Data Quality: Review the source data for inconsistencies, missing values, or invalid entries. Cleanse the data as necessary.
    Validate Mapping: Ensure that

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