How To Fix PU479 - XCLA &1: Package &2 canceled due to too many data records

SAP Error Message - Details

• Message type: E = Error

• Message class: PU - Upgrade and Transport Log Messages

• Message number: 479

• Message text: XCLA &1: Package &2 canceled due to too many data records

What causes this issue?

The package was canceled since the expected volume of data was far too
large.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

Procedure for System Administrators

Repeat the action. If the error persists, contact SAP Support.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message PU479 - XCLA &1: Package &2 canceled due to too many data records ?

  The SAP error message PU479 XCLA &1: Package &2 canceled due to too many data records typically occurs during the processing of a large volume of data records in a batch job or during data uploads. This error indicates that the number of records being processed exceeds the limit set by the system, leading to the cancellation of the package.
  Cause:
  
  Exceeding Record Limit: The primary cause of this error is that the number of data records in the package exceeds the maximum limit defined in the SAP system configuration.
  System Configuration: The system may have specific settings that limit the number of records processed in a single package to prevent performance issues or memory overload.
  Batch Job Settings: If you are running a batch job, the job may be configured to handle a limited number of records, and exceeding this limit will trigger the error.
  
  Solution:
  
  
  Adjust Package Size: 
  
  You can adjust the package size in the relevant configuration settings. This can often be done in transaction codes like SE38 (for ABAP programs) or SM37 (for monitoring jobs).
  Look for parameters related to the maximum number of records per package and increase this limit if necessary.
  
  
  
  Split Data into Smaller Batches: 
  
  If adjusting the package size is not feasible or does not resolve the issue, consider splitting the data into smaller batches. This can be done by modifying the data upload process to handle fewer records at a time.
  
  
  
  Check Job Configuration: 
  
  Review the configuration of the batch job or data upload program to ensure it is set up to handle the expected volume of data. Adjust any relevant parameters to accommodate larger data sets.
  
  
  
  Monitor System Performance: 
  
  Ensure that the system has adequate resources (memory, processing power) to handle large data uploads. If the system is under heavy load, it may be beneficial to schedule large data uploads during off-peak hours.
  
  
  
  Consult SAP Notes: 
  
  Check the SAP Support Portal for any relevant SAP Notes that may address this specific error or provide additional guidance on handling large data uploads.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with transaction codes like SE38, SM37, and SM21 for monitoring jobs and analyzing logs.
  SAP Documentation: Review SAP documentation related to data uploads and batch processing for best practices and configuration settings.
  Performance Tuning: Consider performance tuning options for your SAP system to improve handling of large data volumes.
  
  If the issue persists after trying the above solutions, it may be beneficial to consult with your SAP Basis team or reach out to SAP support for further assistance.