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Message type: E = Error
Message class: RSRV -
Message number: 366
Message text: Conversion necessary. Entries below interval limits
There are SID entries in table &V4& that lie under the interval limits.
Number of entries under interval limits: &V1&
Number of entries within interval limits: &V2&
Number of entries over interval limits: &V3&
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The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Error message extract from SAP system. Copyright SAP SE.
RSRV366
- Conversion necessary. Entries below interval limits ?The SAP error message RSRV366, which states "Conversion necessary. Entries below interval limits," typically occurs in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence) when there are issues with data consistency or data types in the InfoObjects or InfoProviders.
Cause:
This error usually arises due to one of the following reasons:
Data Type Mismatch: The data being loaded into an InfoObject does not match the expected data type or format. For example, if a numeric field is expected but a string is provided, this can trigger the error.
Interval Limits: The data being processed falls outside the defined interval limits for a particular InfoObject. This can happen if the data being loaded is not within the expected range (e.g., dates, numerical values).
Data Transformation Issues: During the ETL (Extract, Transform, Load) process, if the transformation rules are not correctly defined, it can lead to data that does not conform to the expected format or range.
Solution:
To resolve the RSRV366 error, you can take the following steps:
Check Data Types: Verify that the data types of the source data match the data types defined in the InfoObjects. If there are discrepancies, you may need to adjust the source data or modify the InfoObject definition.
Review Interval Limits: Check the interval limits set for the InfoObjects. If the incoming data falls outside these limits, you may need to adjust the limits or cleanse the data to ensure it falls within the acceptable range.
Data Cleansing: Perform data cleansing on the source data to ensure that it adheres to the expected formats and ranges. This may involve removing invalid entries or correcting data types.
Transformation Rules: Review and adjust the transformation rules in your data flow to ensure that they correctly handle the data being loaded. This may involve modifying the logic to accommodate different data formats or ranges.
Use Transaction RSRV: You can use transaction RSRV to analyze the data and check for inconsistencies. This transaction allows you to run checks on your InfoProviders and InfoObjects to identify issues.
Reprocess Data: After making the necessary adjustments, reprocess the data load to see if the error persists.
Related Information:
By following these steps, you should be able to identify the root cause of the RSRV366 error and implement a solution to resolve it.
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