How To Fix WGDS_PROCESS772 - Unable to save inference results to &1 table

SAP Error Message - Details

• Message type: E = Error

• Message class: WGDS_PROCESS - Global data synchronisation

• Message number: 772

• Message text: Unable to save inference results to &1 table

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.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

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Smart SAP Assistant

• What is the cause and solution for SAP error message WGDS_PROCESS772 - Unable to save inference results to &1 table ?

  The SAP error message:
  WGDS_PROCESS772 Unable to save inference results to &1 table
  typically occurs in the context of SAP's Business Warehouse (BW) or SAP Data Intelligence when working with machine learning (ML) inference results or predictive analytics integrated into SAP BW or SAP Data Warehouse Cloud.
  
  Cause
  
  The error indicates that the system was unable to save the inference (prediction) results into the specified database table (the placeholder &1 is replaced by the actual table name at runtime).
  Possible reasons include:
  
  Database table does not exist or is not accessible.
  Authorization issues: The user or process does not have the required permissions to write to the table.
  Table structure mismatch: The structure of the inference results does not match the target table's structure.
  Locking or database errors: The table might be locked or there are database-level issues preventing insert/update.
  Insufficient storage or quota issues in the database.
  Incorrect configuration in the ML scenario or BW process chain that handles the inference results.
  
  
  
  
  Solution
  
  
  Check the Table Existence and Structure
  
  Verify that the table mentioned in the error message exists in the database.
  Check if the table structure matches the expected format for the inference results.
  Use transaction SE11 or SE16N to inspect the table.
  
  
  
  Check Authorizations
  
  Ensure the user or background job running the process has the necessary authorizations to write to the table.
  Check roles and authorizations related to database write access.
  
  
  
  Check Database Locks and Errors
  
  Use transaction SM12 to check for locks on the table.
  Check system logs (SM21) and database logs for any errors related to the table.
  
  
  
  Review Configuration
  
  Verify the configuration of the ML scenario or BW process chain that writes the inference results.
  Ensure the target table is correctly specified and accessible.
  Check if any recent changes were made to the process or table.
  
  
  
  Check Storage and Quotas
  
  Verify that the database has sufficient space and that quotas are not exceeded.
  
  
  
  Debugging
  
  If possible, enable debugging or trace to get more detailed error information.
  Check the detailed error stack or logs related to the process.
  
  
  
  SAP Notes and Support
  
  Search for SAP Notes related to WGDS_PROCESS772 for any known issues or patches.
  If the problem persists, consider raising a support ticket with SAP, providing detailed logs and system information.
  
  
  
  
  Related Information
  
  WGDS_PROCESS772 is related to the SAP BW/4HANA Predictive Analytics integration or SAP Data Intelligence ML inference processes.
  The error is often seen when using SAP BW Predictive Scenarios or embedded ML scenarios where inference results are written back to BW tables.
  SAP documentation on Predictive Analytics Integration with BW and ML scenario configuration can provide additional context.
  SAP Notes and Knowledge Base Articles (KBAs) can be searched via the SAP Support Portal for this specific error code.
  
  
  If you provide the exact table name (&1) or the context in which this error occurs (e.g., during a specific process chain, ML scenario, or data flow), I can help with more targeted advice.