How To Fix CNV_DMC_MC_PE008 - Tere are empty fields

CNV_DMC_MC_PE008 - Overview

• Message type: E = Error

• Message class: CNV_DMC_MC_PE -

• Message number: 008

• Message text: Tere are empty fields

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.

CNV_DMC_MC_PE008 - Details

• The SAP error message CNV_DMC_MC_PE008 indicates that there are empty fields in the data being processed during a data migration or conversion task, typically related to the Data Migration Cockpit (DMC) or a similar tool. This error can occur when required fields are not populated, which can lead to issues in data integrity and processing.
  
  Cause:
  
  Missing Data: The most common cause is that certain mandatory fields in the source data are empty or not filled out.
  Data Mapping Issues: There may be a problem with how the data is mapped from the source to the target system, leading to empty fields in the target.
  Incorrect Configuration: The configuration settings for the migration process may not be set up correctly, causing the system to expect data in fields that are not populated.
  Data Quality Issues: The source data may have quality issues, such as incomplete records or formatting problems.
  
  
  Solution:
  
  Check Source Data: Review the source data