Message type: E = Error
Message class: BL - Application Log
Message number: 217
Message text: Inconsistent context-dependent statistics definition
You tried to define a statistic in the Application Log which does not
satisfy the requirements.
An error message is sent.
An Application Log statistic collects information at runtime about how
many errors, warnings, etc. have been collected for a context
information.
This context information is defined with the structure BAL_S_SDEF and
comprises the context structure name (field TABNAME) and a set of
fields (T_FIELDS) from the structure.
Example:
A runtime statistic is to be maintained of the number of errors per
plant/warehouse. TABNAME could contain 'MY_STRUC', and T_FIELDS the
'WERK' and 'LGORT' fields in MY_STRUC.
Possible statistic definition errors:
The specified structure is not flat (i.e. it contains structures or
tables) or is longer than 256 bytes. This structure cannot be used for
message context.
T_FIELDS contains more than 10 fields
A field in T_FIELDS does not exist in the structure
The sum of the field lengths is greater than 60 bytes
A field does nicht have one of the following types:
C: Character
N: Number
D: Date: YYYYMMDD
T: Time: HHMMSS
X: Byte (heXadecimal)
P: Packed number
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.
BL217
- Inconsistent context-dependent statistics definition ?The SAP error message BL217, which states "Inconsistent context-dependent statistics definition," typically occurs in the context of SAP Business Warehouse (BW) or SAP BusinessObjects when there is a mismatch or inconsistency in the definitions of context-dependent statistics for a particular InfoObject or InfoProvider.
Cause: Inconsistent Definitions: The error usually arises when there are inconsistencies in the definitions of context-dependent statistics, such as when the characteristics or key figures used in the statistics are not aligned or have been modified. Changes in Data Model: If there have been recent changes to the data model, such as adding or removing characteristics or key figures, it can lead to inconsistencies. Transport Issues: If the transport of objects between different systems (e.g., development to production) was not done correctly, it could lead to inconsistencies. Missing or Incorrect Settings: Sometimes, the settings for context-dependent statistics may not be properly configured or may be missing altogether.
Solution: Check Definitions: Review the definitions of
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