How To Fix PR432 - MPE is too big

PR432 - Overview

• Message type: E = Error

• Message class: PR - Forecast: Help messages

• Message number: 432

• Message text: MPE is too big

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?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

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 PR432 - MPE is too big ?

  The SAP error message PR432 "MPE is too big" typically occurs in the context of SAP's Material Management (MM) or Production Planning (PP) modules. This error indicates that the Maximum Processing Element (MPE) size has been exceeded, which can happen during various operations such as creating or processing purchase orders, production orders, or other transactions that involve large amounts of data.
  
  Cause:
  
  Data Volume: The error is often caused by attempting to process a large volume of data in a single transaction, which exceeds the system's configured limits for MPE.
  Configuration Settings: The system may have specific configuration settings that limit the size of data that can be processed in one go.
  Custom Code: If there are custom developments or enhancements in the system, they may inadvertently lead to larger data processing requirements.
  Inefficient Data Handling: Poorly optimized data handling or inefficient coding practices can lead to larger-than-necessary data being processed.
  
  
  Solution:
  
  Break Down Transactions: If possible,