How To Fix UJZ_EXCEPTION016 - Books: Duplicate 'BOOK' column exist in csv file, section: [&1].

SAP Error Message - Details

• Message type: E = Error

• Message class: UJZ_EXCEPTION - BPC: Books Message Class

• Message number: 016

• Message text: Books: Duplicate 'BOOK' column exist in csv file, section: [&1].

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message UJZ_EXCEPTION016 - Books: Duplicate 'BOOK' column exist in csv file, section: [&1]. ?

  The SAP error message UJZ_EXCEPTION016 indicates that there is a problem with a CSV file being processed, specifically that there are duplicate 'BOOK' columns in the file. This error typically arises during data import or processing tasks in SAP, particularly when dealing with financial or accounting data.
  Cause:
  The error is caused by the presence of multiple columns with the same name ('BOOK') in the CSV file. This can happen due to:
  
  Data Export Issues: If the data was exported from another system or application, it may have been incorrectly configured to include duplicate columns.
  Manual Editing: If the CSV file was manually edited, it’s possible that the same column was added more than once.
  Data Generation Errors: Automated processes that generate CSV files may have bugs that lead to duplicate column names.
  
  Solution:
  To resolve this error, you can take the following steps:
  
  Open the CSV File: Use a text editor or spreadsheet application (like Excel) to open the CSV file.
  Check for Duplicate Columns: Look for the header row of the CSV file and identify any duplicate 'BOOK' columns.
  Remove Duplicates: Delete or rename the duplicate 'BOOK' columns to ensure that each column name is unique.
  Save the File: After making the necessary changes, save the CSV file.
  Re-import the File: Attempt to re-import the corrected CSV file into SAP.
  
  Related Information:
  
  CSV Format: Ensure that the CSV file adheres to the expected format required by SAP, including proper delimiters and encoding.
  Data Validation: Before importing, validate the data in the CSV file to ensure it meets all necessary criteria and does not contain other potential issues.
  SAP Documentation: Refer to SAP documentation or support resources for specific guidelines on the expected structure of CSV files for the particular module you are working with.
  Error Logs: Check SAP error logs for additional context or related errors that may provide further insight into the issue.
  
  By following these steps, you should be able to resolve the UJZ_EXCEPTION016 error and successfully import your data into SAP.