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Message type: E = Error
Message class: /ISDFPS/LM_PM_ADDON -
Message number: 182
Message text: Flight &: Duplicate data records are ignored
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/ISDFPS/LM_PM_ADDON182
- Flight &: Duplicate data records are ignored ?The SAP error message
/ISDFPS/LM_PM_ADDON182 Flight &: Duplicate data records are ignored
typically indicates that there are duplicate entries in the data being processed, which the system is set to ignore to maintain data integrity. This error is often encountered in the context of data uploads or integrations, particularly in modules related to flight management or logistics.Cause:
Duplicate Records: The primary cause of this error is the presence of duplicate records in the dataset being processed. This could be due to:
- Data entry errors.
- Issues in the data extraction process.
- Incorrect configurations in the data upload templates.
Data Source Issues: If the data is being pulled from an external source, there may be duplicates in the source data itself.
Configuration Settings: The system may be configured to reject or ignore duplicates based on specific criteria.
Solution:
Identify Duplicates:
- Review the dataset being uploaded or processed to identify duplicate records. This can often be done using data analysis tools or by exporting the data to a spreadsheet for easier manipulation.
Clean the Data:
- Remove or consolidate duplicate entries in the dataset before attempting to upload or process it again. Ensure that each record is unique based on the relevant key fields.
Check Data Source:
- If the data is coming from an external source, ensure that the source data is clean and does not contain duplicates.
Adjust Configuration:
- If applicable, review the configuration settings in SAP that govern how duplicates are handled. Depending on the business requirements, you may want to change the settings to allow for duplicates or to handle them differently.
Testing:
- After cleaning the data and making any necessary adjustments, re-test the upload or processing to ensure that the error does not occur again.
Related Information:
By following these steps, you should be able to resolve the error and ensure that your data processing runs smoothly.
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