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Message type: E = Error
Message class: /SAPDMC/LSMW_OBJ_020 -
Message number: 013
Message text: Field length must be between & and & characters long.
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/SAPDMC/LSMW_OBJ_020013
- Field length must be between & and & characters long. ?The SAP error message
/SAPDMC/LSMW_OBJ_020013
indicates that there is a problem with the length of a field in the context of the Legacy System Migration Workbench (LSMW). Specifically, it states that the field length must be between a specified minimum and maximum number of characters.Cause:
This error typically occurs when:
- Field Length Violation: The data being imported or processed does not conform to the defined length constraints of the target field in the SAP system. For example, if a field is defined to accept a maximum of 10 characters, but the data being imported has 15 characters, this error will be triggered.
- Incorrect Mapping: The mapping of fields from the source data to the target fields in SAP may be incorrect, leading to mismatched lengths.
- Data Quality Issues: The source data may contain unexpected values or formats that exceed the defined limits.
Solution:
To resolve this error, you can take the following steps:
Check Field Definitions: Review the field definitions in the target SAP structure to understand the required length constraints. This can usually be found in the Data Dictionary (SE11) or in the LSMW project settings.
Validate Source Data: Inspect the source data to ensure that all values conform to the required length. You may need to trim, truncate, or modify the data to fit within the specified limits.
Adjust Mapping: If the mapping in LSMW is incorrect, adjust it to ensure that the correct fields are being mapped and that the data types and lengths are compatible.
Use Data Transformation: If necessary, use data transformation techniques within LSMW to manipulate the data before it is imported. This can include using conversion routines or custom ABAP programs to ensure compliance with length requirements.
Test with Sample Data: Before running the full import, test the process with a small sample of data to ensure that the changes have resolved the issue.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to successfully complete your data migration task.
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