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Message type: E = Error
Message class: CM_EHENV_ADC_IMPORT - Message class for Automatic Data Collection
Message number: 037
Message text: Dim. "&2" of data collection differs from dim. "&1" on sheet "&3", row &4
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CM_EHENV_ADC_IMPORT037
- Dim. "&2" of data collection differs from dim. "&1" on sheet "&3", row &4 ?The SAP error message CM_EHENV_ADC_IMPORT037 indicates a mismatch in dimensions between two data collections during an import process. This typically occurs when you are trying to import data into a system where the dimensions (or attributes) of the data being imported do not match the expected dimensions defined in the target environment.
Cause:
- Dimension Mismatch: The error arises when the dimension of the data collection being imported (indicated by "&2") does not match the dimension of the existing data collection (indicated by "&1") in the specified sheet and row.
- Incorrect Data Format: The data being imported may not be formatted correctly or may contain unexpected values that do not align with the target structure.
- Configuration Issues: There may be configuration issues in the data model or the data collection setup that lead to this mismatch.
Solution:
- Check Data Structure: Review the structure of the data you are trying to import. Ensure that the dimensions in the source data match those in the target data collection.
- Validate Data: Ensure that the data being imported is valid and adheres to the expected format. Look for any discrepancies in the values or types of data.
- Adjust Import File: If necessary, modify the import file to ensure that the dimensions align correctly. This may involve renaming columns, changing data types, or removing incompatible rows.
- Review Configuration: Check the configuration of the data collection in the SAP system to ensure that it is set up correctly and that all necessary dimensions are defined.
- Consult Documentation: Refer to SAP documentation or support resources for specific guidelines on data import processes and dimension requirements.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to successfully import your data.
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