How To Fix CNV20200247 - Performance optimization: Check for &1 = &2

CNV20200247 - Overview

• Message type: E = Error

• Message class: CNV20200 - Messages for development class CNV_20200

• Message number: 247

• Message text: Performance optimization: Check for &1 = &2

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.

CNV20200247 - Details

• The SAP error message CNV20200247 is related to performance optimization during data migration or conversion processes, particularly in the context of SAP's data migration tools. This message indicates that there is a performance issue that needs to be addressed, specifically related to a certain condition where a field (denoted as &1) is equal to a certain value (denoted as &2).
  
  Cause:
  The error typically arises when the system detects that a certain condition in the data processing is not optimized for performance. This could be due to:
  
  Inefficient Data Processing: The way data is being processed may not be optimal, leading to slow performance.
  Large Data Volumes: If the dataset being processed is large, it may cause performance bottlenecks.
  Database Indexing Issues: Lack of proper indexing on the database tables involved can lead to slower query performance.
  
  Configuration Issues: Incorrect configuration settings in the migration tool or the underlying database can also lead to performance issues.
  
  
  Solution:
  To