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Message type: E = Error
Message class: /STMC/CR_LOG -
Message number: 198
Message text: Different data field &1: &2 <> &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.
To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.
Unfortunately, there isn't any extra information in this error notice.
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/STMC/CR_LOG198
- Different data field &1: &2 <> &3 ?The SAP error message
/STMC/CR_LOG198 Different data field &1: &2 <> &3
typically indicates a mismatch in data fields during a data transfer or processing operation. This error is often encountered in the context of data migration, data replication, or when working with data from different sources or systems.Cause:
The error message suggests that there is a discrepancy between expected and actual data values for a specific field. The placeholders in the message represent:
&1
: The name of the data field that is causing the issue.&2
: The value that was expected.&3
: The value that was actually found.This mismatch can occur due to several reasons:
To resolve this error, you can take the following steps:
Check Data Mapping: Review the mapping of the data fields between the source and target systems. Ensure that the data types and formats match.
Validate Data: Inspect the data being transferred to identify any inconsistencies. Look for records that have values that do not conform to the expected values.
Review Configuration: Check the configuration settings for the data transfer process. Ensure that all settings are correct and that there are no discrepancies in the definitions of the data fields.
Error Logs: Look at the detailed error logs for more context on the error. This may provide additional information about which records are causing the issue.
Data Cleansing: If the data is inconsistent, consider cleansing the data in the source system before attempting the transfer again.
Testing: After making corrections, perform a test transfer with a small subset of data to ensure that the issue has been resolved.
By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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