Error
Error Code:
5203
SAP S/4HANA Error 5203: UString Data Conversion Failure
Description
This error signifies that SAP S/4HANA attempted to construct a Unicode string (UString) from an incompatible or invalid data type, and the conversion process failed. It typically occurs when the system processes text or data that does not conform to expected formats, preventing proper internal representation.
Error Message
ERR_TEXT_COMMON_USTRING_CONSTRUCTION_FAILED
Known Causes
4 known causesIncompatible Data Type
Data provided to the system for text processing is in a format that cannot be directly converted into a Unicode string (UString).
Corrupted or Malformed Data
The source data intended for text conversion contains errors, missing characters, or an invalid structure, making UString creation impossible.
Configuration or Customization Issue
Improper system settings, custom code, or integration parameters are leading to incompatible data being supplied for UString creation.
Character Encoding Mismatch
The character encoding of the input data does not match the expected encoding for UString conversion within the system.
Solutions
3 solutions available1. Identify and Correct Invalid UTF-8 Characters in Data medium
Locate and fix data containing non-UTF-8 compliant characters that are causing the conversion failure.
1
Determine the source of the error. This often occurs when data is being imported or processed. Check SAP application logs (SM21), ST22 dumps, or traces for the specific table and field involved in the conversion failure.
2
If a specific table and field are identified, use SQL to query for potentially problematic data. You can try to cast the column to a different encoding or use string functions to identify characters outside the expected UTF-8 range. This requires knowledge of the database (e.g., HANA).
SELECT * FROM <your_table> WHERE LENGTH(<your_field>) <> LENGTH(CONVERT_TO(<your_field>, 'UTF8'));
-- Or, for HANA specifically, you might try to find invalid characters:
SELECT * FROM <your_table> WHERE <your_field> NOT LIKE '%[ -ჿFF]%'; -- This is a simplified representation; actual regex might be more complex.