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Message type: E = Error
Message class: CNV10994 - Message class for CNV_10994
Message number: 020
Message text: Total length = &1 exceeds field length (=90)! (OBJECTCLAS=&2,PREFIX=&3)
Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.
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CNV10994020
- Total length = &1 exceeds field length (=90)! (OBJECTCLAS=&2,PREFIX=&3) ?The SAP error message CNV10994020 indicates that the total length of a certain field exceeds the maximum allowed length. This error typically occurs during data migration or conversion processes, particularly when using SAP's Data Migration tools or during the execution of certain programs that handle data transformation.
Cause:
The error message specifies that the total length of the data being processed exceeds the defined field length of 90 characters. The placeholders in the message provide additional context:
&1
: The total length of the data being processed.&2
: The object class related to the data.&3
: The prefix associated with the data.This error can occur due to:
To resolve this error, you can take the following steps:
Check Data Length: Review the data being processed to identify which entries exceed the 90-character limit. You can use SQL queries or data profiling tools to analyze the data.
Adjust Field Length: If possible, consider increasing the field length in the target structure to accommodate the longer data. This may involve modifying the database schema or the data model.
Data Truncation: If increasing the field length is not feasible, you may need to truncate the data to fit within the 90-character limit. Ensure that truncation does not lead to loss of critical information.
Review Mapping Configuration: Check the mapping configuration in your data migration tool to ensure that the source fields are correctly mapped to the target fields, and that the lengths are compatible.
Data Cleansing: Implement data cleansing processes to ensure that the source data adheres to the expected formats and lengths before migration.
Testing: After making adjustments, perform thorough testing to ensure that the changes resolve the error and that data integrity is maintained.
By following these steps, you should be able to identify the root cause of the error and implement a suitable solution.
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