Error
Error Code:
319
SAP S/4HANA Error 319: Invalid Decimal Scale Specification
Description
Error 319, ERR_SQL_DECIMAL_SCALE, indicates that a numeric value's defined decimal scale (number of digits after the decimal point) is either incorrect or exceeds the allowed range. This typically occurs during data processing, insertion, or updates when the precision of a number violates the constraints of a database field or system configuration.
Error Message
ERR_SQL_DECIMAL_SCALE: Decimal scale specifier is out of range
Known Causes
3 known causesData Type Mismatch
Attempting to store a number with more decimal places than the target database column or field is configured to accept.
Calculation Precision Overflow
A calculation within SAP S/4HANA or an integrated system produces a result with a decimal scale greater than what the receiving variable or field can handle.
Invalid External Data Input
Data imported from an external system or manually entered by a user contains a decimal scale that violates the system's defined constraints for the target field.
Solutions
3 solutions available1. Validate and Correct Data Type Definitions in ABAP Dictionary medium
Review and adjust invalid decimal scale definitions in ABAP data elements and structures.
1
Identify the specific table and field causing the error. This often requires tracing the error back to the application logic or a specific data load/transaction. Tools like ST05 (SQL Trace) can be invaluable here.
2
Access the ABAP Dictionary (transaction SE11).
3
Navigate to the data element or structure definition that contains the problematic decimal field. Enter the name and click 'Display'.
4
Locate the field in question. Check the 'Data Type' and 'Length/Decimals' attributes. For decimal types (DEC, QUAN, CURR), the scale (number of decimal places) must be within the valid range. Typically, this is 0 to 31 for packed numbers and 0 to 10 for floating-point numbers, but the exact range can depend on the underlying database and SAP version. The error message 'out of range' points to a value exceeding this limit.
5
If an invalid scale is found, correct it to a valid value. For example, if a scale of 40 was specified for a DEC type, reduce it to a maximum of 31. Ensure the scale is also compatible with the overall length defined for the field.
6
Save and activate the corrected data element/structure. If the data element is part of a table, activate the table as well.
7
Re-run the transaction or process that triggered the error to confirm it's resolved.
2. Correct Invalid Decimal Values in Existing Data medium
Cleanse data in tables that violates the defined decimal scale constraints.
1
Identify the table and field that contains the erroneous data. This might be revealed by error logs or by examining data in tables where the error occurs. Consider using transaction SE16N or SE16 to browse data.
2
Determine the valid range for decimal scales for the identified field based on its data element definition in SE11.
3
Write and execute an SQL statement to identify records with decimal values that exceed the allowed scale. This will require casting or converting the decimal values to a string representation to check the number of decimal places.
4
Example SQL (syntax may vary slightly depending on your underlying database like HANA, Oracle, etc.):
SELECT TOP 100 * FROM YOUR_TABLE WHERE LENGTH(CAST(YOUR_DECIMAL_FIELD AS VARCHAR)) - INSTR(CAST(YOUR_DECIMAL_FIELD AS VARCHAR), '.') > YOUR_MAX_ALLOWED_SCALE;5
Once identified, carefully decide how to correct the data. This might involve:
a) Truncating or rounding the decimal places to fit the defined scale.
b) Updating the data element definition (as in Solution 1) if the business requirement truly needs more decimal places, and then re-running the data correction.
c) If the data is fundamentally incorrect, it might need to be deleted or re-entered.
a) Truncating or rounding the decimal places to fit the defined scale.
b) Updating the data element definition (as in Solution 1) if the business requirement truly needs more decimal places, and then re-running the data correction.
c) If the data is fundamentally incorrect, it might need to be deleted or re-entered.
UPDATE YOUR_TABLE SET YOUR_DECIMAL_FIELD = ROUND(YOUR_DECIMAL_FIELD, YOUR_MAX_ALLOWED_SCALE) WHERE LENGTH(CAST(YOUR_DECIMAL_FIELD AS VARCHAR)) - INSTR(CAST(YOUR_DECIMAL_FIELD AS VARCHAR), '.') > YOUR_MAX_ALLOWED_SCALE;6
Execute the update statement to correct the data. **Always perform backups before executing update statements on production data.**
7
Re-run the process that caused the error.
3. Review and Adjust SAP Notes and Custom Code advanced
Investigate if recent SAP Notes or custom developments have introduced this error.
1
Check the SAP Support Portal (support.sap.com) for recently applied SAP Notes. Search for 'ERR_SQL_DECIMAL_SCALE' or '319' in conjunction with your S/4HANA version.
2
Analyze the code changes introduced by any relevant SAP Notes. If a Note has modified data type definitions or data handling logic, this could be the source of the error. Consider whether the Note is fully implemented or if there are any prerequisites missing.
3
Review custom ABAP code, especially any programs that involve data manipulation, table updates, or data extraction related to decimal fields. Look for explicit casting or conversion routines that might be generating invalid scale specifications.
4
If custom code is suspected, use debugging tools (e.g., ABAP Debugger) to step through the code when the error occurs and pinpoint the exact line causing the invalid decimal scale.
5
If a custom development is the cause, adjust the code to ensure decimal scales are handled correctly, either by adhering to existing data element definitions or by obtaining a proper definition for the required scale.
6
If an SAP Note is identified as the culprit and it's not a direct implementation error, consider creating a support message with SAP for clarification or a correction.