How To Fix CNV256 - For table &, field &, routine & source package is not unique
SAP Error Message - Details
Message type: E = Error
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Message class:
CNV - Conversion: Messages for Conversion Services (CNCC) -
Message number: 256
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Message text: For table &, field &, routine & source package is not unique
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What causes this issue?
The combination
table name &V1&
field name &V2&
routine &V3&
occurs in more than one source package. This causes a conflict.System Response
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
How to fix this error?
Set field the source package manually
Error message extract from SAP system. Copyright SAP SE.
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- What is the cause and solution for SAP error message
CNV256- For table &, field &, routine & source package is not unique ?The SAP error message CNV256 typically indicates that there is a problem with the data conversion process, specifically related to the uniqueness of a source package in a data migration or conversion scenario. This error often arises during the execution of a data migration project, particularly when using SAP's data migration tools or during the execution of a custom program. Cause: The error message "For table &, field &, routine & source package is not unique" suggests that there is a conflict or ambiguity in the data being processed. This can occur due to several reasons: Duplicate Entries: There may be duplicate entries in the source data for the specified table and field, which makes it impossible for the system to determine which entry to use. Incorrect Mapping: The mapping of fields from the source to the target may not be correctly defined, leading to multiple potential matches. Data Integrity Issues: There may be issues with the integrity of the data in the source system, such as missing or inconsistent values. Configuration Errors: The configuration of the data migration tool or the routines being used may not be set up correctly, leading to conflicts. Solution: To resolve the CNV256 error, you can take the following steps: Check for Duplicates: Review the source data for the specified table and field to identify any duplicate entries. You can use SQL queries or data analysis tools to
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