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Message type: E = Error
Message class: LT_DHAPE_OPERATORS - SAP Data Hub - ABAP Pipeline Engine - Pkg Message Class
Message number: 015
Message text: Operator Table Reader: Whitelist check failed for &1
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LT_DHAPE_OPERATORS015
- Operator Table Reader: Whitelist check failed for &1 ?The SAP error message LT_DHAPE_OPERATORS015 indicates that there is a problem with the "Operator Table Reader" due to a failed whitelist check for a specific operator. This error typically occurs in the context of SAP's Data Hub or related data processing environments where operators are used to manage data flows.
Cause:
The error is caused by the system not recognizing the operator being used in the data flow because it is not included in the whitelist. The whitelist is a list of approved operators that are allowed to be used in the specific context of your SAP environment. If an operator is not on this list, the system will block its use to ensure security and compliance.
Solution:
To resolve this issue, you can take the following steps:
Check the Operator: Verify the operator that is causing the issue. The error message will typically indicate which operator is not on the whitelist (represented by
&1
in the error message).Update the Whitelist:
- If you have the necessary permissions, you can add the operator to the whitelist. This usually involves modifying configuration settings in the SAP Data Hub or the relevant environment.
- Consult the documentation for your specific SAP environment to find out how to update the whitelist.
Consult with Administrators: If you do not have the necessary permissions to modify the whitelist, contact your system administrator or the team responsible for managing the SAP environment. They can assist in adding the operator to the whitelist.
Review Documentation: Check the SAP documentation or support notes related to the specific version of your SAP system. There may be additional guidelines or best practices for managing operators and whitelists.
Testing: After making changes to the whitelist, test the data flow again to ensure that the error has been resolved.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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