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Message type: E = Error
Message class: RSD_TREX - Messages from TREX Aggregate Area
Message number: 143
Message text: Large indexes must be recreated; job will be started
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RSD_TREX143
- Large indexes must be recreated; job will be started ?The SAP error message RSD_TREX143 indicates that large indexes in the SAP BW (Business Warehouse) system need to be recreated. This typically occurs when the system detects that the existing indexes are either corrupted, outdated, or not optimized for performance. The message suggests that a job will be started to handle the recreation of these indexes.
Cause:
- Index Corruption: The indexes may have become corrupted due to system crashes, improper shutdowns, or other issues.
- Data Changes: Significant changes in the underlying data or structure may require the indexes to be rebuilt to ensure optimal performance.
- Performance Optimization: The system may determine that the current indexes are not performing efficiently, prompting a rebuild.
- Database Maintenance: Regular maintenance tasks may have flagged the need for index recreation.
Solution:
- Automatic Job Execution: The system will typically start a background job to recreate the indexes automatically. You can monitor this job in the SAP system.
- Manual Index Recreation: If the automatic job does not start or fails, you can manually trigger the index recreation:
- Go to the transaction code RSA1 (Data Warehousing Workbench).
- Navigate to the InfoProvider that is causing the issue.
- Right-click on the InfoProvider and select the option to "Rebuild Index" or "Rebuild Aggregates."
- Check Job Status: After the job has been executed, check the job status in transaction SM37 to ensure it completed successfully.
- Monitor Performance: After the indexes are recreated, monitor the performance of the queries and reports that utilize the affected InfoProviders to ensure that performance has improved.
Related Information:
By following these steps, you should be able to resolve the RSD_TREX143 error and ensure that your SAP BW system operates efficiently.
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