How To Fix NRSCNV396 - Time dimension is inconsistent and must be repaired in transaction RSRV


NRSCNV396 - Overview

  • Message type: E = Error

  • Message class: NRSCNV - Message class

  • Message number: 396

  • Message text: Time dimension is inconsistent and must be repaired in transaction RSRV

  • Show details Hide details
  • What causes this issue?

    You have made changes to the time dimension by adding a new time
    characteristic.

    System Response

    Checking the time dimension after successful remodeling of the InfoCube
    returned an inconsistent state because a new time characteristic was
    added.

    How to fix this error?

    This inconsistency can be repaired by running a RSRV check. Please
    proceed as described below:
    Go to transaction RSRV.
    Choose Tests in Transaction RSRV -> All Elementary Tests -> Transaction
    Data -> Consistency of time dimension for InfoCube.
    Run the test and repair any errors using the repair functionality.

    Procedure for System Administrators

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


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message NRSCNV396 - Time dimension is inconsistent and must be repaired in transaction RSRV ?
    The SAP error message NRSCNV396 indicates that there is an inconsistency in the time dimension of your data model, which needs to be repaired using transaction RSRV. This error typically arises in the context of SAP BW (Business Warehouse) or SAP BW/4HANA when there are issues with the time characteristics in your InfoObjects or InfoProviders.
    
    Cause: Data Load Issues: Inconsistencies can occur if there were problems during data loading processes, such as incomplete data loads or failed data transfer processes. Changes in Time Characteristics: If there have been changes to the time characteristics (like calendar settings, fiscal year variants, etc.) without proper adjustments in the data model, inconsistencies can arise. Data Model Changes: Modifications to the data model, such as changes in InfoObjects or InfoProviders, can lead to inconsistencies if not properly managed. Missing or Incorrect Time Dimension Entries: If there are missing entries in the time dimension or if the entries do not match

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