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Message type: E = Error
Message class: 0K - Messages for "General List Modules"
Message number: 307
Message text: Extract & already exists and will be completely overwritten
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0K307
- Extract & already exists and will be completely overwritten ?The SAP error message 0K307 indicates that an extraction process is attempting to create a data object (like an InfoObject or an InfoProvider) that already exists in the system. The message warns that the existing object will be completely overwritten by the new extraction process.
Cause:
- Duplicate Extraction: The error typically occurs when an extraction process is run for a data object that has already been created in the system.
- Incorrect Configuration: There may be a misconfiguration in the data extraction settings, leading to attempts to create an object that already exists.
- Manual Interventions: If someone manually created or modified the object in the system, it could lead to conflicts with automated extraction processes.
Solution:
- Check Existing Objects: Before running the extraction, check if the object already exists in the system. You can do this by navigating to the relevant InfoProvider or InfoObject in the SAP BW system.
- Delete or Rename Existing Object: If the existing object is no longer needed, you can delete it. If you want to keep it, consider renaming it or archiving it before running the extraction again.
- Adjust Extraction Settings: Review the settings of the extraction process to ensure that it is not configured to create an object that already exists. This may involve checking the data source settings or the transformation rules.
- Consult Documentation: Refer to SAP documentation or notes related to the specific extraction process you are using. There may be specific guidelines or best practices to follow.
- Testing: If possible, test the extraction in a development or test environment before executing it in production to avoid overwriting important data.
Related Information:
By following these steps, you should be able to resolve the error and successfully manage your data extraction processes in SAP.
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