How To Fix PRAT026 - Number of rejected records

PRAT026 - Overview

• Message type: E = Error

• Message class: PRAT - PRAT

• Message number: 026

• Message text: Number of rejected records

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 PRAT026 - Number of rejected records ?

  The SAP error message PRAT026, which indicates "Number of rejected records," typically occurs during the processing of data in the SAP system, particularly in the context of data uploads or data processing tasks. This error message is often associated with issues in the data being processed, such as incorrect formatting, missing mandatory fields, or data that does not meet validation criteria.
  Causes of PRAT026 Error
  
  
  Data Formatting Issues: The data being uploaded may not conform to the expected format. This can include incorrect data types, invalid characters, or incorrect date formats.
  
  
  Missing Mandatory Fields: If the data records being processed are missing required fields, the system will reject those records.
  
  
  Validation Errors: The data may fail validation checks defined in the system. This can include business rules that the data must adhere to.
  
  
  Duplicate Records: If the system detects duplicate entries that violate unique constraints, it may reject those records.
  
  
  Data Type Mismatches: If the data