Message type: E = Error
Message class:  VATCRQ - Message class for formalized inquiries 
Message number: 105
Message text: Inconsistent file data: duplicate items found. &1
System has detected that one or more items defined in uploaded document
have the same numbers as already uploaded.
This could be caused by the following reasons:
If user uploads test document it's format isn't correct and such file
must be adjusted
If user uploads document received from authorities format of such
document isn't supported or document is malformed. In this case contact
authorities issed this document
Document isn't imported into system
Depending on source of the document either document must be adjusted or
document must be reissued
,,Check contents of tables:
j3rf_vatcrqproc
j3rf_vatcrq8 - j3rf_vatcrq12
,,For the duplicates of primary key : N1 (check naming schema issued by
authrities), year and period of existing documents and document that
were indended for uploading.
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.
The SAP error message VATCRQ105, which states "Inconsistent file data: duplicate items found. &1," typically occurs during the processing of VAT returns or when handling VAT-related data files. This error indicates that there are duplicate entries in the data file being processed, which violates the expected data integrity rules.
Cause: Duplicate Entries: The most common cause of this error is the presence of duplicate entries in the VAT data file. This could happen due to: Incorrect data extraction or export processes. Manual data entry errors. Issues in the data import process where the same records are being imported multiple times. Data Format Issues: Sometimes, the format of the data being uploaded may not align with the expected structure, leading to misinterpretation of records as duplicates.
Configuration Issues: There may be configuration settings in the VAT reporting module that are not set correctly, leading to the system misidentifying unique records.
Solution: Identify Duplicates: Review the data file that is being
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