How To Fix MPE_RTGV_COMPARE001 - Critical error

MPE_RTGV_COMPARE001 - Overview

• Message type: E = Error

• Message class: MPE_RTGV_COMPARE -

• Message number: 001

• Message text: Critical error

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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message MPE_RTGV_COMPARE001 - Critical error ?

  The SAP error message MPE_RTGV_COMPARE001 typically indicates a critical error related to the comparison of data during a process, often in the context of the Material Management (MM) or Logistics Execution (LE) modules. This error can arise in various scenarios, such as during the execution of a transaction, data migration, or integration processes.
  Possible Causes:
  
  Data Inconsistency: There may be inconsistencies in the data being compared, such as mismatched records or missing entries in the database.
  
  Configuration Issues: Incorrect configuration settings in the system can lead to errors during data processing.
  Authorization Problems: Lack of proper authorizations for the user executing the transaction can trigger this error.
  System Bugs: There may be bugs or issues in the specific version of SAP you are using that lead to this error.
  Performance Issues: If the system is under heavy load, it may not be able to process requests correctly, leading to errors.
  
  Solutions:
  
  Check Data Consistency: Review the data involved