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Message type: E = Error
Message class: HRPIQ000 - Messages in Development Class PMIQ
Message number: 165
Message text: Data records with identical keys were reduced to one record
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HRPIQ000165
- Data records with identical keys were reduced to one record ?The SAP error message HRPIQ000165 indicates that there are data records with identical keys in the system, which have been reduced to a single record. This typically occurs in the context of HR (Human Resources) or personnel administration, particularly when dealing with infotypes or data records that are expected to be unique based on certain key fields.
Cause:
The error is usually caused by:
- Duplicate Records: There are multiple entries in the database that share the same key fields. This can happen due to data import processes, manual data entry errors, or system integrations that do not properly handle unique constraints.
- Data Consistency Issues: The system is designed to maintain data integrity, and when it detects duplicates, it consolidates them to prevent inconsistencies.
Solution:
To resolve this issue, you can take the following steps:
Identify Duplicate Records:
- Use transaction codes like SE16 or SE11 to access the relevant database tables and check for duplicate entries based on the key fields.
- You can also use reports or queries to identify duplicates in the infotype or data set you are working with.
Data Cleanup:
- Once duplicates are identified, you will need to decide which records to keep and which to delete or merge. This may involve consulting with stakeholders to ensure that no important data is lost.
- Use transaction codes like PA30 (Maintain HR Master Data) to manually delete or adjust records as necessary.
Prevent Future Duplicates:
- Review the processes that led to the creation of duplicate records. This may involve improving data entry procedures, enhancing validation checks, or modifying integration processes with other systems.
- Implement checks in your data import routines to ensure that duplicates are not created in the future.
Consult Documentation:
- Review SAP documentation or notes related to the specific infotype or data structure you are working with. There may be specific guidelines or best practices for handling data integrity.
Testing:
- After making changes, test the system to ensure that the error no longer occurs and that data integrity is maintained.
Related Information:
If the problem persists after following these steps, it may be necessary to consult with your SAP support team or a technical consultant for further assistance.
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