How To Fix CNV_10020091 - Data for &1 &2 already exists in table &3

CNV_10020091 - Overview

• Message type: E = Error

• Message class: CNV_10020 - Message class for package 10020

• Message number: 091

• Message text: Data for &1 &2 already exists in table &3

What causes this issue?

The process for writing data for &V1& &V2& has terminated. Data has
already been stored in object table &V3&.

How to fix this error?

There are the following ways of restarting the process:
Delete the data for &V1& &V2& from object table &V3&, then restart the
filling process.
Create a path parameter for &V1& &V2& (if not already available) and set
the indicator for duplicate entries. Then restart the filling process.
<ZH>Note:</> The first option is preferable particularly if a lot of
data has already been written.
If you choose the second option, the system creates a program that does
the insert with 'ACCEPTING DUPLICATE KEYS'. This can result in
performance issues.
&HINTS&
To delete the data for &V1& &V2& go to the activity <zk>Job Monitor:
Load Determination Data</> (extended view) and click on &V1& &V2&. On
the following screen press the button "Delete object tables" and answer
the question "Execute in background?" with "yes" when expecting a long
runtime.

Error message extract from SAP system. Copyright SAP SE.

CNV_10020091 - Details

• The SAP error message CNV_10020091 indicates that there is an attempt to insert or update data in a table where a record with the same key already exists. This error typically arises during data migration or data transfer processes, especially when using SAP's data migration tools or during system conversions.
  
  Cause:
  
  Duplicate Data: The most common cause is that the data being processed already exists in the target table. This can happen if the data migration process is run multiple times without proper checks for existing records.
  Incorrect Mapping: There may be an issue with the mapping of source data to the target structure, leading to attempts to insert duplicate records.
  Data Integrity Constraints: The target table may have unique constraints that are being violated by the incoming data.
  
  
  Solution:
  
  Check for Existing Records: Before running the migration or data transfer, check the target table for existing records that match the key of the incoming data.