Error
Error Code:
407
SAP S/4HANA Error 407: Invalid Date Format
Description
Error 407, ERR_SQL_INV_DATE_FORMAT, indicates that a date value provided or processed by the system does not conform to the expected format. This typically occurs during data entry, system integrations, or when running reports that involve date fields.
Error Message
ERR_SQL_INV_DATE_FORMAT
Known Causes
4 known causesUser Input Mismatch
A user entered a date value in a format different from the one configured or expected by the SAP S/4HANA application field.
System Configuration Discrepancy
Date format settings within SAP S/4HANA, or between S/4HANA and an integrated external system, are inconsistent.
Data Import Format Error
Date values in a data import file (e.g., CSV, Excel) do not match the required format for the target fields in SAP S/4HANA.
Custom Development or Query Issue
A custom report, SQL query, or application extension attempts to process a date using an incorrect or unsupported format specification.
Solutions
3 solutions available1. Correct Date Format in ABAP Program medium
Modify the ABAP code to ensure dates are formatted correctly before being passed to the database.
1
Identify the ABAP program causing the error. This usually involves tracing the execution flow or checking the application logs for the specific transaction or process that triggered the error.
2
Locate the section of the ABAP code where date values are being processed or prepared for database insertion/update. Look for statements involving date variables and their assignment to database fields.
3
Ensure that date variables are correctly typed as 'D' (Date) in ABAP. If they are being treated as strings, they need to be converted to a valid date format. Use the `CONVERT_DATE_TO_INTERNAL` or `CONVERT_DATE_TO_EXTERNAL` function modules for reliable conversions, or ensure string manipulation adheres to the expected 'YYYYMMDD' format for internal database representation.
DATA: lv_date_string TYPE string VALUE '2023-10-27'.
DATA: lv_date_internal TYPE d.
TRY.
lv_date_internal = cl_abap_utility=>convert_date_to_internal( lv_date_string ).
CATCH cx_sy_conversion_no_date.
" Handle conversion error
ENDTRY.
" Or directly format for database if known to be YYYYMMDD
DATA: lv_date_db TYPE d.
lv_date_db = '20231027'.
" When assigning to a database field of type DATS, ensure it's in YYYYMMDD format.4
If dates are coming from external sources (e.g., user input, file uploads), implement robust validation and conversion logic to ensure they are in the expected 'YYYYMMDD' format before they reach the database interaction layer.
2. Verify Database Field Data Type easy
Confirm that the database table field receiving the date has the correct data type (e.g., DATS in SAP).
1
Use transaction SE11 (ABAP Dictionary) to display the relevant database table.
2
Navigate to the 'Fields' tab and locate the specific field that is causing the date format error.
3
Check the 'Data Type' column. For date fields, it should typically be 'DATS' (Date) or a compatible date type supported by HANA. If it's a character type (e.g., CHAR, VARCHAR) and expecting a date, this is a likely cause of the error.
4
If the data type is incorrect, you will need to correct the database table definition. This is a more involved process and might require data migration or careful consideration of impact. Consult with your SAP functional and technical teams before making changes to the data dictionary.
3. Review Data Loading/Integration Processes medium
Examine ETL or integration tools to ensure they are mapping and converting dates correctly.
1
Identify any data loading or integration processes (e.g., SAP Data Services, SLT, custom interfaces) that write data to the affected SAP S/4HANA tables.
2
Review the configuration of these tools, specifically focusing on the date field mappings and any transformation rules applied. Ensure that source date formats are being correctly converted to the target SAP S/4HANA date format (typically 'YYYYMMDD' for internal representation).
3
If using SAP Landscape Transformation (SLT), check the replication configuration and any user-defined functions or transformations that might be involved in date handling.
4
Test the data loading process with sample data that has known date values to verify the conversion logic. Adjust the mapping or transformation rules as needed.