How To Fix CNV20201017 - __No.level(old) = &1, No.level(new) = &2

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV20201 -

• Message number: 017

• Message text: __No.level(old) = &1, No.level(new) = &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.

Smart SAP Assistant

• What is the cause and solution for SAP error message CNV20201017 - __No.level(old) = &1, No.level(new) = &2 ?

  The SAP error message CNV20201017 with the description "No.level(old) = &1, No.level(new) = &2" typically occurs during data migration processes, particularly when using the SAP S/4HANA Migration Cockpit or other data migration tools. This error indicates a mismatch in the hierarchy levels between the old and new data structures.
  Cause:
  The error is caused by a discrepancy in the number of levels in the data hierarchy between the source (old) and target (new) systems. Specifically, it suggests that the data being migrated has a different number of hierarchical levels than what is expected in the target system. This can happen due to:
  
  Changes in Data Structure: The target system may have a different data model or structure compared to the source system.
  Incorrect Mapping: The mapping of fields between the old and new systems may not be correctly defined, leading to mismatched levels.
  Data Quality Issues: The data in the source system may not conform to the expected structure, leading to inconsistencies.
  
  Solution:
  To resolve this error, you can take the following steps:
  
  
  Check Data Mapping: Review the mapping configuration between the old and new systems to ensure that the hierarchy levels are correctly defined. Make sure that the fields are mapped appropriately.
  
  
  Analyze Data Structure: Compare the data structures of the source and target systems. Identify any differences in the hierarchy levels and adjust the migration strategy accordingly.
  
  
  Data Cleansing: If there are data quality issues in the source system, consider cleansing the data to ensure it meets the expected structure before migration.
  
  
  Adjust Migration Settings: If applicable, adjust the settings in the migration tool to accommodate the differences in hierarchy levels.
  
  
  Consult Documentation: Refer to the SAP documentation related to the specific migration tool you are using for any additional guidance or troubleshooting steps.
  
  
  Testing: Perform a test migration with a smaller dataset to identify and resolve any issues before executing the full migration.
  
  
  Related Information:
  
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional context.
  Migration Cockpit Documentation: Review the official SAP documentation for the Migration Cockpit or the specific tool you are using for data migration.
  Community Forums: Consider searching or posting in SAP community forums for insights from other users who may have encountered similar issues.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to successfully complete the data migration process.