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Message type: E = Error
Message class: RSAU - Update rules
Message number: 508
Message text: Arithmetical errors or conversion errors found in the start routine
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RSAU508
- Arithmetical errors or conversion errors found in the start routine ?The SAP error message RSAU508 indicates that there are arithmetical or conversion errors occurring in the start routine of a data transfer process, typically in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence). This error can arise during the extraction, transformation, and loading (ETL) processes when data is being processed in a DataSource or InfoPackage.
Causes of RSAU508 Error
Data Type Mismatch: The data being processed may not match the expected data types defined in the InfoObject or DataSource. For example, trying to perform arithmetic operations on character fields or incompatible numeric formats.
Null or Invalid Values: The presence of null values or invalid data (e.g., division by zero, negative values where only positive values are expected) can lead to arithmetic errors.
Overflow Errors: If the result of an arithmetic operation exceeds the maximum limit of the data type being used (e.g., trying to store a large number in a field defined as an integer).
Incorrect Logic in Start Routine: Errors in the ABAP code within the start routine can lead to unexpected results or exceptions being raised.
Data Quality Issues: Poor data quality in the source system can lead to unexpected values that cause errors during processing.
Solutions to RSAU508 Error
Review the Start Routine Code: Check the ABAP code in the start routine for any logical errors or incorrect assumptions about the data. Ensure that all arithmetic operations are valid and that data types are correctly handled.
Data Type Validation: Ensure that the data types in the source system match those expected in the target InfoObject. Use appropriate conversion functions if necessary.
Handle Null and Invalid Values: Implement checks in the start routine to handle null or invalid values gracefully. For example, use conditional statements to skip processing for invalid records or set default values.
Debugging: Use the debugger to step through the start routine and identify the exact point where the error occurs. This can help pinpoint the problematic data or logic.
Data Cleansing: Perform data cleansing in the source system to ensure that the data being extracted is valid and conforms to the expected formats.
Testing: Test the data load with a smaller dataset to isolate the issue. This can help identify specific records that may be causing the error.
Related Information
By following these steps, you should be able to identify and resolve the RSAU508 error effectively.
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