How To Fix APS_CKE_PARSER063 - Mark at least one field as key field.

SAP Error Message - Details

• Message type: E = Error

• Message class: APS_CKE_PARSER - CDS Key user tool - AST handler messages

• Message number: 063

• Message text: Mark at least one field as key field.

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message APS_CKE_PARSER063 - Mark at least one field as key field. ?

  The SAP error message APS_CKE_PARSER063, which states "Mark at least one field as key field," typically occurs in the context of data modeling or configuration in SAP systems, particularly when working with Analytical Queries, Calculation Views, or similar data structures in SAP HANA.
  Cause:
  This error arises when you are trying to create or modify a data model (like a Calculation View) and you have not designated any field as a key field. Key fields are essential for uniquely identifying records in a dataset, and without at least one key field, the system cannot process the data model correctly.
  Solution:
  To resolve this error, you need to ensure that at least one field in your data model is marked as a key field. Here’s how you can do that:
  
  
  Open the Data Model: Go to the relevant Calculation View or data model where you are encountering the error.
  
  
  Select the Fields: In the field list or structure of your data model, identify the fields that you want to use as key fields.
  
  
  Mark as Key Field:
  
  In the properties of the field, look for an option to mark it as a "Key Field" or "Primary Key."
  This is usually done by checking a checkbox or selecting an option in the properties panel.
  
  
  
  Save and Activate: After marking the necessary fields as key fields, save your changes and activate the data model.
  
  
  Test the Model: Run a test to ensure that the error no longer appears and that the data model behaves as expected.
  
  
  Related Information:
  
  Key Fields Importance: Key fields are crucial for ensuring data integrity and performance in data models. They help in indexing and optimizing queries.
  Best Practices: When designing data models, always consider which fields should be key fields based on the business logic and data relationships.
  Documentation: Refer to SAP HANA documentation or the specific module documentation for more details on data modeling and key field requirements.
  
  If you continue to experience issues after following these steps, consider checking for any additional constraints or dependencies in your data model that may be affecting the ability to set key fields.