How To Fix RSMSS_ANALYZER_MSG095 - Partition with boundary &1 &2 was dropped because it was empty

SAP Error Message - Details

• Message type: E = Error

• Message class: RSMSS_ANALYZER_MSG - Messages for RSMSS_ANALYZER

• Message number: 095

• Message text: Partition with boundary &1 &2 was dropped because it was empty

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSMSS_ANALYZER_MSG095 - Partition with boundary &1 &2 was dropped because it was empty ?

  The SAP error message RSMSS_ANALYZER_MSG095 indicates that a partition in a data store was dropped because it was empty. This typically occurs in the context of SAP's data warehousing and data management processes, particularly when using the SAP BW (Business Warehouse) or SAP HANA systems.
  Cause:
  
  
  Empty Partition: The primary cause of this error is that the specified partition (identified by the boundary values &1 and &2) does not contain any data. In data warehousing, partitions are often used to manage data more efficiently, and if a partition is found to be empty, it may be automatically dropped to optimize storage and performance.
  
  
  Data Loading Issues: There may have been issues during the data loading process that resulted in no data being loaded into the partition. This could be due to incorrect data selection, filters applied during the data load, or issues with the source data.
  
  
  Data Retention Policies: Some systems have policies that automatically drop empty partitions after a certain period or after a data load process.
  
  
  Solution:
  
  
  Check Data Load Process: Review the data load process to ensure that data is being loaded correctly into the partitions. Check for any filters or conditions that might be preventing data from being loaded.
  
  
  Review Partitioning Strategy: If the partitioning strategy is not aligned with the data characteristics, consider adjusting the partitioning scheme. This may involve changing the boundaries or the criteria used for partitioning.
  
  
  Data Validation: Validate the source data to ensure that it contains the expected records. If the source data is empty or does not meet the criteria for loading, this will result in empty partitions.
  
  
  Monitoring and Alerts: Implement monitoring and alerting mechanisms to notify administrators when partitions are dropped or when data load processes fail. This can help in taking timely corrective actions.
  
  
  Recreate Partitions: If necessary, you can manually recreate the dropped partitions if you expect data to be loaded into them in the future.
  
  
  Related Information:
  
  SAP Notes and Documentation: Check SAP Notes related to partition management and data loading for specific guidance and best practices.
  Performance Tuning: Understand how partitioning affects performance in your specific SAP environment and consider tuning your data model accordingly.
  Data Warehousing Best Practices: Familiarize yourself with best practices in data warehousing, particularly regarding partitioning strategies and data load processes.
  
  By addressing the underlying causes and implementing the suggested solutions, you can mitigate the occurrence of this error and ensure that your data management processes run smoothly.