Error
Error Code:
592
SAP S/4HANA Error 592: Unsupported API Type Conversion
Description
Error 592, 'ERR_API_NOT_SUPPORTED_TYPECONV', indicates an attempt to convert data from one type to another that is not supported by the SAP S/4HANA system or the specific API being used. This typically occurs during data integration, API calls, or custom development when there's an incompatibility in data types between the source and target operations.
Error Message
ERR_API_NOT_SUPPORTED_TYPECONV: Not supported type conversion
Known Causes
4 known causesData Type Mismatch in API Request
An API call attempts to pass data with a type (e.g., string) into a field expecting a different, incompatible type (e.g., integer or date) as defined by the API specification.
Incorrect Data Mapping in Integration
During data integration or migration, the mapping between source and target fields specifies an invalid or unsupported conversion between their respective data types.
Custom Development Type Incompatibility
Custom ABAP code, extensions, or enhancements attempt a data type conversion that is not permitted or properly handled within the SAP S/4HANA framework.
External System Data Format Issue
Data received from an external system has a format or type that cannot be implicitly or explicitly converted to the expected SAP S/4HANA data type, leading to a conversion failure.
Solutions
3 solutions available1. Identify and Correct Data Type Mismatches in ABAP Code advanced
Analyze ABAP programs to find and fix incompatible data type conversions.
1
Use transaction code `SE80` (Object Navigator) to locate the ABAP program or function module that is triggering the error. Pay close attention to the stack trace provided by the error message to pinpoint the exact location.
2
Examine the data declarations and assignments within the identified code. Look for instances where data is being implicitly or explicitly converted between incompatible types. Common culprits include converting between numeric types and character types without proper formatting, or attempting to assign a value with a larger range/precision to a field with a smaller one.
Example of a problematic conversion:
abap
DATA: lv_char TYPE c LENGTH 10.
DATA: lv_int TYPE i.
lv_char = lv_int. " This might cause an error if lv_int is too large for lv_char representation.
3
Implement explicit and safe type conversions. Use ABAP's built-in conversion functions or methods to ensure data integrity. For example, use `WRITE` statement with formatting options for converting numbers to strings, or `CONV` operator for explicit type casting.
Example of a safe conversion:
abap
DATA: lv_char TYPE string.
DATA: lv_int TYPE i.
lv_int = 12345.
CONV string( lv_int ) INTO lv_char.
WRITE lv_int TO lv_char.
4
Test the corrected ABAP code thoroughly in a development or test environment before deploying to production.
2. Validate Data in SAP HANA Database Tables medium
Check for and rectify invalid data entries within HANA tables that might lead to conversion issues.
1
Identify the HANA table(s) involved in the data processing that is causing the error. This information might be available in the error message or application logs.
2
Connect to your SAP HANA database using a SQL client (e.g., HANA Studio, DBVISUAL).
3
Query the relevant table(s) to identify rows with data that does not conform to the defined column data types. For instance, a character column might contain numeric data that is too large to be represented in a target numeric field, or a date column might have an invalid date format.
Example SQL query to find non-numeric characters in a supposed numeric column:
sql
SELECT * FROM "YOUR_SCHEMA"."YOUR_TABLE"
WHERE "YOUR_NUMERIC_COLUMN" NOT LIKE '%[^0-9]%'
AND "YOUR_NUMERIC_COLUMN" IS NOT NULL;
This is a simplified example; more complex regex might be needed for specific scenarios.4
Update or delete the invalid data entries. Depending on your business process, you might need to correct the data manually, reprocess source data, or remove erroneous records.
Example SQL to update a record (use with extreme caution):
sql
UPDATE "YOUR_SCHEMA"."YOUR_TABLE"
SET "YOUR_NUMERIC_COLUMN" = 'correct_value'
WHERE "PRIMARY_KEY_COLUMN" = 'specific_value';
5
After cleaning the data, re-run the operation that caused the error.
3. Review and Adjust CDS View Data Type Definitions advanced
Ensure data types in CDS views align with underlying table definitions and target consumption.
1
Identify the Core Data Services (CDS) view that is being used and is potentially causing the conversion error. This can usually be found by tracing the data flow from the application or error message.
2
Open the CDS view definition in your ABAP Development Tools (ADT) in Eclipse.
3
Examine the data type definitions for fields within the CDS view. Compare these with the data types of the underlying database tables and the expected data types of the consuming application or interface.
Example CDS View snippet:
cds
@AbapCatalog.sqlViewName: 'MYCDSVIEW'
define view my_cds_view as select from my_table {
key field1,
field2 AS converted_field2 : abap.char(10) // Potential issue if my_table-field2 is numeric with a larger range
};
4
If a data type mismatch is found, adjust the data type definition in the CDS view to ensure compatibility. Use appropriate ABAP data types and length/precision specifications. Consider using explicit casting or type conversion functions within the CDS view if necessary.
Example of adjusting CDS View for safe conversion:
cds
@AbapCatalog.sqlViewName: 'MYCDSVIEW'
define view my_cds_view as select from my_table {
key field1,
cast( field2 as abap.char(20) ) AS converted_field2 : abap.char(20) // Explicit cast for safety
};
5
Activate the modified CDS view and test the application that uses it.