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Message type: E = Error
Message class: RSDA - BW Archiving: Messages
Message number: 343
Message text: Error in data manager
Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.
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RSDA343
- Error in data manager ?The SAP error message RSDA343, which indicates "Error in data manager," typically occurs in the context of data extraction or data loading processes, particularly when using SAP Data Services or SAP BW (Business Warehouse). This error can arise due to various reasons, and understanding the cause is essential for troubleshooting.
Possible Causes:
- Data Source Issues: The source system may be down, or there may be connectivity issues between the SAP system and the data source.
- Data Format Problems: The data being extracted may not conform to the expected format, leading to parsing or transformation errors.
- Authorization Issues: The user executing the data manager may not have the necessary authorizations to access the data or perform the required operations.
- Configuration Errors: Incorrect settings in the data manager configuration or in the data flow can lead to this error.
- Data Quality Issues: Invalid or corrupt data in the source can cause the data manager to fail during processing.
- System Resource Limitations: Insufficient memory or processing power on the server can lead to failures in data processing.
Solutions:
- Check Data Source Connectivity: Ensure that the source system is up and running and that there are no network issues preventing access.
- Validate Data Formats: Review the data being extracted to ensure it meets the expected formats and standards. Cleanse the data if necessary.
- Review Authorizations: Verify that the user has the appropriate permissions to access the data and execute the data manager tasks.
- Examine Configuration Settings: Check the configuration of the data manager and the data flow for any misconfigurations or errors.
- Data Quality Checks: Implement data validation checks to identify and rectify any corrupt or invalid data in the source.
- Monitor System Resources: Check the server's resource usage (CPU, memory) and optimize the system if necessary. Consider increasing resources if the system is under heavy load.
Related Information:
If the problem persists after trying the above solutions, it may be beneficial to contact SAP support for further assistance.
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