How To Fix /PM0/ABX_MESSAGES130 - Different number of data records; cannot compare attributes

/PM0/ABX_MESSAGES130 - Overview

• Message type: E = Error

• Message class: /PM0/ABX_MESSAGES -

• Message number: 130

• Message text: Different number of data records; cannot compare attributes

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 /PM0/ABX_MESSAGES130 - Different number of data records; cannot compare attributes ?

  The SAP error message /PM0/ABX_MESSAGES130 indicating "Different number of data records; cannot compare attributes" typically arises in the context of data processing or data comparison tasks within SAP, particularly in the area of project management or data analysis.
  
  Cause:
  This error usually occurs when there is a mismatch in the number of records being compared or processed. For example, if you are trying to compare two datasets or attributes, and one dataset has more records than the other, SAP will throw this error. This can happen due to:
  
  Data Inconsistency: The datasets being compared may not be aligned properly, leading to a different number of records.
  Incorrect Selection Criteria: The criteria used to select records for comparison may not be correctly defined, resulting in an unequal number of records.
  Data Import Issues: If data was imported from an external source, there may have been issues during the import process that caused some records to be