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Message type: E = Error
Message class: UJA_EXCEPTION - BPC: Admin exception message class
Message number: 110
Message text: Failed to update master data of dimension &1 in BI (InfoObject: &2)
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UJA_EXCEPTION110
- Failed to update master data of dimension &1 in BI (InfoObject: &2) ?The SAP error message UJA_EXCEPTION110 indicates that there was a failure in updating the master data of a specific dimension in Business Intelligence (BI). This error typically occurs during data loading processes, especially when working with InfoObjects in SAP BW (Business Warehouse).
Causes:
- Data Integrity Issues: The master data being loaded may have inconsistencies or integrity issues, such as missing mandatory fields or incorrect data formats.
- Authorization Problems: The user or process attempting to update the master data may not have the necessary authorizations to perform the operation.
- Locking Issues: The InfoObject may be locked by another process, preventing the update from occurring.
- Data Source Issues: The source from which the data is being loaded may have problems, such as connectivity issues or incorrect configurations.
- Transformation Errors: Errors in the transformation rules that map source data to the target InfoObject can lead to failures.
- System Resource Limitations: Insufficient system resources (like memory or disk space) can also cause failures during data processing.
Solutions:
- Check Data Integrity: Review the data being loaded for any inconsistencies or missing values. Ensure that all mandatory fields are populated and that data types match the expected formats.
- Review Authorizations: Ensure that the user or process has the necessary authorizations to update the master data. Check roles and permissions in the SAP system.
- Check for Locks: Use transaction codes like SM12 to check for locks on the InfoObject. If a lock is found, determine the cause and resolve it.
- Validate Data Source: Ensure that the data source is correctly configured and accessible. Check for any connectivity issues or errors in the data extraction process.
- Review Transformation Logic: If applicable, review the transformation rules in the Data Transfer Process (DTP) to ensure they are correctly defined and do not contain errors.
- Monitor System Resources: Check system performance and resource usage. If necessary, optimize the system or increase resources to handle the data load.
Related Information:
RSA1
(Data Warehousing Workbench) to monitor and manage data loads, and SM37
to check job logs for more detailed error messages.By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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