How To Fix RSODSO_MPP_TEST044 - RECORD not ascending and with gaps

SAP Error Message - Details

• Message type: E = Error

• Message class: RSODSO_MPP_TEST - MPP Data Verification

• Message number: 044

• Message text: RECORD not ascending and with gaps

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSODSO_MPP_TEST044 - RECORD not ascending and with gaps ?

  The SAP error message RSODSO_MPP_TEST044 indicates that there is an issue with the data in a DataStore Object (DSO) where the records are not in ascending order and there are gaps in the key fields. This typically occurs during data loading or when performing data transformations.
  Cause:
  
  Data Order: The records in the DSO are expected to be in ascending order based on the key fields. If the data is not sorted correctly, this error will occur.
  Gaps in Key Fields: The key fields of the records may have missing values or gaps, which means that the sequence of records is not continuous.
  Data Load Issues: The data being loaded may not be properly prepared or may have been altered in a way that disrupts the expected order.
  Transformation Logic: If there are transformations applied to the data before it reaches the DSO, they may not be preserving the order or may be introducing gaps.
  
  Solution:
  
  
  Check Data Order: Ensure that the data being loaded into the DSO is sorted in ascending order based on the key fields. You can do this by:
  
  Reviewing the source data.
  Using a query or script to sort the data before loading it into the DSO.
  
  
  
  Identify Gaps: Check for any gaps in the key fields. You can do this by:
  
  Running a query to identify missing key values.
  Ensuring that all key values are populated and continuous.
  
  
  
  Review Transformation Logic: If you are using transformations, review the logic to ensure that it maintains the order and does not introduce gaps. Make adjustments as necessary.
  
  
  Data Cleansing: If there are issues with the source data, consider cleansing the data to remove duplicates, fill in gaps, or correct any inconsistencies.
  
  
  Reprocess the Data Load: After making the necessary corrections, reprocess the data load to the DSO.
  
  
  Related Information:
  
  DataStore Object (DSO): A DSO is a type of data storage in SAP BW that allows for the storage of detailed transactional data. It is important for reporting and analysis.
  Key Fields: These are the fields that uniquely identify a record in the DSO. They are critical for maintaining data integrity and order.
  SAP BW/BI: Understanding the data flow and architecture in SAP BW/BI can help in troubleshooting such issues effectively.
  
  If the problem persists after following these steps, consider checking SAP Notes or reaching out to SAP support for further assistance.