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Message type: E = Error
Message class: DBMAN - Data Manager Message Class
Message number: 354
Message text: Data in request 0 is inconsistent (several records with identical keys)
Several records exist for one key in request 0. In summarizing, this
would cause data to be incorrectly aggregated. The error can occur, for
example, if there was no primary index when the data was loaded.
The summarization run was interrupted.
Reorganize the data in request 0, or try to eliminate the error by
restructuring the InfoCube.
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.
DBMAN354
- Data in request 0 is inconsistent (several records with identical keys) ?The SAP error message DBMAN354 indicates that there is an inconsistency in the data being processed, specifically that there are multiple records with identical keys in the request. This typically occurs during data extraction or loading processes, such as during the transfer of data from a source system to a target system, or when processing data in a data warehouse environment.
Cause:
Duplicate Records: The primary cause of this error is the presence of duplicate records in the data set being processed. This can happen due to:
- Incorrect data extraction logic.
- Issues in the source system that lead to duplicate entries.
- Data transformation errors that do not properly handle duplicates.
Key Definition Issues: The keys defined for the data records may not be unique, leading to conflicts when the system tries to process them.
Data Load Process: If the data load process is not correctly configured to handle duplicates, it can result in this error.
Solution:
Identify Duplicates:
- Use SQL queries or data profiling tools to identify duplicate records in the source data. Look for records with the same key values.
Data Cleansing:
- Remove or consolidate duplicate records in the source system or during the ETL (Extract, Transform, Load) process. This may involve:
- Aggregating data.
- Keeping only the most recent or relevant record.
- Merging records based on business rules.
Adjust Data Load Logic:
- Modify the data load process to handle duplicates appropriately. This could involve:
- Implementing checks to prevent duplicates from being loaded.
- Configuring the data load to ignore duplicates or to update existing records instead of inserting new ones.
Review Key Definitions:
- Ensure that the keys defined for the records are appropriate and truly unique. If necessary, redefine the keys to include additional fields that can help in uniquely identifying records.
Testing:
- After making changes, test the data load process again to ensure that the error is resolved and that the data integrity is maintained.
Related Information:
By following these steps, you should be able to resolve the DBMAN354 error and ensure that your data processing is consistent and reliable.
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