How To Fix J3605 - First identifying attribute is not unique

J3605 - Overview

• Message type: E = Error

• Message class: J3 - Dialog Messages for Data Pool Entry Transactions

• Message number: 605

• Message text: First identifying attribute is not unique

What causes this issue?

The attribute used for identification/assignment is not unique.
This is the result of one of the following:
The transfer contains another record with the same identifying attribute
(applies to non-<LS>KEY</> fields).
The transfer contains another record with a different identifying
attribute that leads to the same database record.
The transfer contains at least two records with this attribute.
&SYSTEM_RESPONSE& (EDT only)
This error is serious enough that the record was placed on the hard
drive and not in the batch input session.
This error takes priority over any other errors in this record.
&WHAT_TO_DO& (EDT only)
Generate the record anew and check the identifying attributes.
&HINTS&

Error message extract from SAP system. Copyright SAP SE.

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• What is the cause and solution for SAP error message J3605 - First identifying attribute is not unique ?

  The SAP error message J3605, "First identifying attribute is not unique," typically occurs in the context of SAP's data modeling or reporting tools, such as SAP BW (Business Warehouse) or SAP HANA. This error indicates that the system has encountered a situation where the first identifying attribute (or key) used in a data model or query is not unique, which can lead to ambiguity in data retrieval or processing.
  
  Cause:
  
  
  Non-Unique Key Values: The primary cause of this error is that the attribute designated as the first identifying attribute has duplicate values in the dataset. This means that multiple records share the same value for this attribute, which violates the uniqueness requirement.
  
  
  Data Model Configuration: The configuration of the data model may not be set up correctly, leading to the selection of a non-unique attribute as the primary key.
  
  
  Data Quality Issues: There may be underlying data quality issues, such as incorrect data entry,