How To Fix RSDU_REPART462 - Number of data records in &1 and &2 match (&3 data records)

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDU_REPART - Messages for Repartitioning InfoProviders

• Message number: 462

• Message text: Number of data records in &1 and &2 match (&3 data records)

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDU_REPART462 - Number of data records in &1 and &2 match (&3 data records) ?

  The SAP error message RSDU_REPART462 indicates a mismatch in the number of data records between two sources during a data transfer or replication process. Specifically, it suggests that the number of records in the source and target does not match the expected count, which can lead to issues in data consistency and integrity.
  Cause:
  
  Data Inconsistency: The source and target systems may have different data due to incomplete data loads, failed data transfers, or manual changes made directly in the database.
  Replication Issues: If you are using a data replication process (like SLT or other ETL tools), there may have been an error during the replication that caused some records to be missed.
  Data Transformation Errors: If there are transformations applied during the data load, they may not have been applied consistently, leading to discrepancies in record counts.
  Delta Load Issues: If you are performing delta loads, there may be issues with the delta mechanism that prevent all changes from being captured.
  
  Solution:
  
  Check Data Load Logs: Review the logs of the data load process to identify any errors or warnings that may indicate why the record counts do not match.
  Re-run Data Load: If the data load was incomplete or failed, consider re-running the data load process to ensure all records are transferred correctly.
  Data Consistency Check: Perform a consistency check between the source and target systems to identify any discrepancies in the data.
  Manual Reconciliation: If necessary, manually reconcile the data between the two systems to ensure that they match.
  Review Transformation Rules: If transformations are applied, review the rules to ensure they are correctly defined and applied consistently.
  Check Delta Mechanism: If using delta loads, verify that the delta mechanism is functioning correctly and capturing all changes.
  
  Related Information:
  
  Transaction Codes: You may want to use transaction codes like RSA1 (Data Warehousing Workbench) to monitor data loads and check for errors.
  SAP Notes: Check SAP Notes related to data loading and replication for any known issues or patches that may address this error.
  Documentation: Review SAP documentation on data replication and loading processes for best practices and troubleshooting steps.
  Support: If the issue persists, consider reaching out to SAP support for assistance, providing them with detailed logs and error messages for further analysis.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to resolve the record count mismatch.