How To Fix CNV_DMC_MD_EXTRACTOR032 - Field #&1 from sheet &2 has a wrong data type in line &3

CNV_DMC_MD_EXTRACTOR032 - Overview

• Message type: E = Error

• Message class: CNV_DMC_MD_EXTRACTOR - meta data extractor message class

• Message number: 032

• Message text: Field #&1 from sheet &2 has a wrong data type in line &3

What causes this issue?

Actions like copying data with formatting or using formulas will result
in a corrupted XML template.

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

When copying data to a sheet from Microsoft Excel, always right-click
the relevant cell and choose the paste option 'Values (V)'. Avoid
pasting data that includes formatting and formulas into the migration
template, as this will corrupt the structure of the XML migration
template.
More information
KBA 2692715- Migration Cockpit: How to correctly fill data into XML
template
KBA 2607685- How to identify the corresponding structure and field for
migration template fields

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

CNV_DMC_MD_EXTRACTOR032 - Details

• The SAP error message CNV_DMC_MD_EXTRACTOR032 indicates that there is a data type mismatch in the data being processed during a migration or data extraction process. Specifically, the error message breaks down as follows:
  
  Field #&1: This refers to the specific field in the data that is causing the issue.
  Sheet &2: This indicates the specific sheet (or source) from which the data is being extracted.
  Line &3: This specifies the line number in the sheet where the error was detected.
  
  Cause
  The error typically arises due to one of the following reasons:
  
  
  Data Type Mismatch: The data in the specified field does not match the expected data type defined in the target system. For example, if the target system expects a numeric value but receives a string or alphanumeric value, this error will occur.
  
  
  Incorrect Formatting: The data might be formatted incorrectly, such as date formats, decimal separators, or other locale-specific formats that do not align with