How To Fix PU025 - Header &1: Job &2 canceled

PU025 - Overview

• Message type: E = Error

• Message class: PU - Upgrade and Transport Log Messages

• Message number: 025

• Message text: Header &1: Job &2 canceled

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.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

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Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message PU025 - Header &1: Job &2 canceled ?

  The SAP error message PU025, which states "Header &1: Job &2 canceled," typically occurs in the context of background job processing in SAP. This message indicates that a specific job (identified by &2) associated with a particular header (identified by &1) has been canceled. Here are some common causes, potential solutions, and related information for this error:
  Causes:
  
  Job Cancellation by User: The job may have been manually canceled by a user or administrator.
  System Errors: There could be underlying system issues, such as resource shortages (memory, CPU), that caused the job to fail.
  Job Scheduling Conflicts: Conflicts with other scheduled jobs or processes may lead to cancellation.
  Authorization Issues: The job may not have the necessary authorizations to execute certain tasks, leading to its cancellation.
  Data Issues: Problems with the data being processed (e.g., missing or incorrect data) can cause the job to fail.
  Timeouts: The job may have exceeded the allowed execution time, leading to