Message type: E = Error
Message class: BRAIN_DEV - BRAIN messages (for use by development)
Message number: 154
Message text: Data integrity scenario 'G Guaranteed Stable Data' reduced to 'S'
The query is based on a MultiProvider or CompositeProvider that contains
non-cumulative key figures. In addition<(>,<)> not all characteristics
from the time dimension are provided by all PartProviders with
non-cumulative key figures.
In this specific case, the time dimension of the
MultiProvider/CompositeProvider is inconsistent, meaning, that not all
coarse times can be derived from the most granular time characteristic.
As the time dimension is not consistent, it is not possible to derive
cache objects with time filters from other cache objects. Therefore read
mode 'A' ('Query to read all data at once') is also not possible, as
this read mode only works if all requested data can be adapted from a
cache entry that has been initially read.
Read mode 'A' is the basis for data integrity scenario 'Guaranteed
Stable Data' and not possible for this query.
The data integrity scenario is reduced to 'S Data from query start'.
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.
BRAIN_DEV154
- Data integrity scenario 'G Guaranteed Stable Data' reduced to 'S' ?The SAP error message BRAIN_DEV154 indicates an issue related to data integrity in the context of SAP BW (Business Warehouse) or SAP HANA. Specifically, it refers to a scenario where the data integrity level for a certain data flow or process has been reduced from "G" (Guaranteed Stable Data) to "S" (Stable Data). This typically means that the system has detected a potential issue that could affect the reliability of the data being processed or reported.
Cause: Data Quality Issues: There may be inconsistencies or errors in the data being loaded or processed, which could lead to a reduction in the integrity level. Process Interruptions: If there were interruptions during data loading or processing (e.g., system crashes, network issues), the data may not be fully stable.
Configuration Issues: Incorrect settings in the data flow or transformation processes can lead to data integrity problems. Data Model Changes: Changes in the underlying data model or structure can
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