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Message type: E = Error
Message class: RSAR - Data Transfer and Metadata Maintenance
Message number: 116
Message text: Error in a data conversion in record &
The transfer program attempted to execute an invalid conversion of data
types.
Processing has been terminated and flagged as having errors. You can
perform the update again any time.
Check the accuracy of the data.
In particular, check that the data types and lengths of the transferred
data agree with the InfoSource definitions and that fixed values and
routines defined in the transfer rules deliver correct data.
Correct existing data errors, and restart processing this data packet.
If the error occurs again, search for SAP Notes and create a problem
message if necessary.
Error message extract from SAP system. Copyright SAP SE.
RSAR116
- Error in a data conversion in record & ?The SAP error message RSAR116, which indicates "Error in a data conversion in record &," typically occurs during the data transfer process, particularly when using SAP's Data Transfer Process (DTP) or during the extraction of data from a source system. This error suggests that there is an issue with the conversion of data types or formats while processing a specific record.
Causes:
- Data Type Mismatch: The data being extracted may not match the expected data type in the target system. For example, a numeric field may contain non-numeric characters.
- Invalid Data Format: The data format in the source system may not conform to the expected format in the target system (e.g., date formats, currency formats).
- Null or Missing Values: The record may contain null or missing values that are not handled properly during the conversion process.
- Data Length Exceeded: The length of the data in the source may exceed the defined length in the target structure.
- Custom Code Issues: If there are any custom transformations or routines, they may contain errors that lead to conversion failures.
Solutions:
- Check Data Types: Review the data types in both the source and target systems to ensure they match. Adjust the data types if necessary.
- Data Cleansing: Clean the data in the source system to ensure that it adheres to the expected formats. This may involve removing non-numeric characters from numeric fields or correcting date formats.
- Handle Null Values: Implement logic to handle null or missing values appropriately. This may involve setting default values or excluding records with nulls from the transfer.
- Adjust Field Lengths: Ensure that the lengths of the fields in the source do not exceed the lengths defined in the target structure. If necessary, increase the field lengths in the target.
- Debug Custom Code: If there are any custom transformations, debug the code to identify any issues that may be causing the conversion error.
- Use Error Handling: Implement error handling in your DTP or transformation to log and skip problematic records, allowing the process to continue.
Related Information:
RSA1
(Data Warehousing Workbench) to monitor and manage data flows.SLG1
to view application logs related to data transfer.By following these steps, you should be able to identify the root cause of the RSAR116 error and implement a solution to resolve it.
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