How To Fix RSAN_RT639 - Duplicate records when writing data to table &1

RSAN_RT639 - Overview

• Message type: E = Error

• Message class: RSAN_RT - Messages for Runtime Analysis

• Message number: 639

• Message text: Duplicate records when writing data to table &1

What causes this issue?

An analysis process does not take uniqueness of data records
into account when processing data according to any available
key fields. A database table, however, does consider uniqueness.
When writing data to table &V1& there may only be one data record for ea
characteristic combination of key fields. If another unique index is
available in the table, the data also has to be unique according to this
index.

System Response

The analysis process terminates because not all of the data could be
written to table &V1&.

How to fix this error?

Check and change the definition of the analysis process. Using a
suitable definition of the analysis process, ensure that duplicate
records do not arise during updating, for example:
Check whether all key fields are filled correctly in the field mapping
on the data flow arrow before the data target.
Insert an aggregation node in front of the data target and aggregate
the data to fit the key fields of the data target. Use the key fields
of the data target as grouping fields in the settings for the
aggregation nodes. Use all of the other fields as aggregation fields.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSAN_RT639 - Duplicate records when writing data to table &1 ?

  The SAP error message RSAN_RT639, which indicates "Duplicate records when writing data to table &1," typically occurs in the context of data extraction or data loading processes, particularly when working with SAP BW (Business Warehouse) or SAP HANA. This error suggests that the system has encountered duplicate records that violate the uniqueness constraints of the target table.
  
  Cause:
  
  Duplicate Data in Source: The source data being extracted may contain duplicate records that are not being filtered out before loading into the target table.
  Incorrect Data Transformation: During the ETL (Extract, Transform, Load) process, the transformation logic may not be correctly handling duplicates.
  Primary Key Violations: The target table may have a primary key or unique index that is being violated due to the presence of duplicate records.
  Data Load Configuration: The configuration settings for the data load process may not be set to handle duplicates appropriately.
  
  
  Solution:
  
  Identify Duplicates: Analyze the source data to identify and understand