How To Fix EDCMP202 - Sources are not identical

EDCMP202 - Overview

• Message type: E = Error

• Message class: EDCMP - ABAP Workbench: Splitscreen editor

• Message number: 202

• Message text: Sources are not identical

What causes this issue?

The system found differences.
If the programs look identical, the differences may be caused by blank
lines.
When the comparison tool finds a blank line, it inserts a blank line on
the opposite side to align the coding. For example, if the program on
the left contains a blank line that is not contained in the program on
the right and you then use the compare function, the system finds
differences, and adds a blank line to the source code on the right.
Thus, although both sources look the same, they are in fact not.
The blank lines that are inserted by the comparison tool are
automatically removed when you save.

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?

If the program code on both sides looks the same, switch off the
comparison mode. This will enable you to see the differences in the
blank lines.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message EDCMP202 - Sources are not identical ?

  The SAP error message EDCMP202, which states "Sources are not identical," typically occurs in the context of data extraction or data transfer processes, particularly when dealing with data sources in SAP BW (Business Warehouse) or SAP Data Services. This error indicates that the data sources being compared or merged do not match in terms of structure, data types, or other relevant attributes.
  Causes:
  
  Mismatched Data Structures: The data sources being compared may have different field names, data types, or structures.
  Inconsistent Metadata: The metadata definitions for the data sources may not align, leading to discrepancies.
  Different Source Systems: If the data is being pulled from different source systems, there may be inherent differences in how the data is structured.
  Transformation Issues: If there are transformations applied to the data, they may not be consistent across the sources.
  Versioning Issues: Different versions of data sources may have been used, leading to inconsistencies.
  
  Solutions:
  
  Check Data Source Definitions: Review the