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Message type: E = Error
Message class: RSODSO_MPP_TEST - MPP Data Verification
Message number: 019
Message text: Error in Prepare. Unique records expected: &1 saved: &2
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RSODSO_MPP_TEST019
- Error in Prepare. Unique records expected: &1 saved: &2 ?The SAP error message RSODSO_MPP_TEST019 typically occurs in the context of data extraction or data loading processes, particularly when working with DataStore Objects (DSOs) in SAP BW (Business Warehouse). This error indicates that there is a mismatch in the number of unique records expected versus the number of records that were actually saved during a data processing operation.
Cause:
The error message "Unique records expected: &1 saved: &2" suggests that the system expected a certain number of unique records (denoted by &1) to be processed, but it only found and saved a different number of records (denoted by &2). This discrepancy can occur due to several reasons:
- Data Duplication: The source data may contain duplicate records that violate the uniqueness constraints defined in the DSO.
- Incorrect Data Transformation: During the data transformation process, records may not be transformed correctly, leading to unexpected results.
- Data Quality Issues: Poor data quality in the source system can lead to unexpected duplicates or missing records.
- Configuration Issues: The DSO may not be configured correctly to handle the incoming data, leading to issues with record uniqueness.
Solution:
To resolve the RSODSO_MPP_TEST019 error, you can take the following steps:
Check Source Data: Review the source data for duplicates or inconsistencies. Ensure that the data being loaded into the DSO meets the uniqueness requirements.
Data Cleansing: Implement data cleansing processes to remove duplicates or correct data quality issues before loading the data into the DSO.
Review DSO Configuration: Ensure that the DSO is configured correctly, including the key fields that define uniqueness. Check the settings for data loading and transformation.
Transformation Logic: If you are using transformation rules, review them to ensure they are correctly defined and that they do not inadvertently create duplicates.
Error Handling: Implement error handling in your data loading process to capture and log records that fail to meet uniqueness constraints. This can help in identifying problematic records.
Testing: After making changes, perform a test load with a smaller dataset to verify that the issue has been resolved before attempting a full load.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to prevent it from occurring in the future.
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