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Message type: E = Error
Message class: SRF_AUTHORING - Message class for SRF Authoring
Message number: 579
Message text: &1 is used in query &2 as a data source for query parameter &3
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SRF_AUTHORING579
- &1 is used in query &2 as a data source for query parameter &3 ?The SAP error message SRF_AUTHORING579 indicates that there is a conflict in the use of a data source in a query. Specifically, it means that the data source (identified as &1) is being used in another query (identified as &2) as a data source for a query parameter (identified as &3). This typically occurs in the context of SAP BW (Business Warehouse) or SAP Analytics Cloud when working with queries and data sources.
Cause:
- Data Source Reuse: The data source you are trying to use is already being utilized in another query. This can happen if you are trying to modify or delete a data source that is still in use.
- Query Dependencies: Queries in SAP can have dependencies on data sources, and if a data source is linked to multiple queries, it can lead to conflicts when trying to make changes.
- Parameter Conflicts: The specific parameter in the query may be causing issues due to its linkage to the data source.
Solution:
- Check Query Dependencies: Review the queries that are using the data source. You can do this by navigating to the query designer or using transaction codes like RSRT (for executing queries) or RSOS (for analyzing query dependencies).
- Modify or Remove Usage: If you need to modify the data source, ensure that it is not being used in any other active queries. You may need to remove it from those queries first.
- Create a Copy: If you need to use the same data source in a new query, consider creating a copy of the data source or creating a new query that does not conflict with existing ones.
- Consult Documentation: Refer to SAP documentation or help resources for specific guidance on managing data sources and queries in your version of SAP.
Related Information:
By following these steps, you should be able to resolve the SRF_AUTHORING579 error and manage your queries and data sources effectively.
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