Message type: E = Error
Message class: RSL_UI -
Message number: 179
Message text: Max. number (&3) of distinct values reached (PartProvider &1, Alias &2)
Maximum number of distinct values exceeded during execution of a join
analysis.
The join analysis might be both resource and time-consuming. The process
has therefore been interrupted.
This process can be influenced by the RSADMIN parameter
RSDD_LM_JOIN_ANALYSIS. The following cases have to be taken into
account.
Table RSADMIN does not contain RSDD_LM_JOIN_ANALYSIS at all.
The analysis will be interrupted if more than 10000 distinct values are
found (default value).
Table RSADMIN contains RSDD_LM_JOIN_ANALYSIS.
If the value for RSDD_LM_JOIN_ANALYSIS is empty (blank), the analysis
runs until it has finished or the limit for profile parameter
rdisp/max_wprun_time is exceeded.
If a value has been assigned to RSDD_LM_JOIN_ANALYSIS ? 500 for example
? the analysis will be interrupted as soon as the investigated join
contains more than 500 distinct values.
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.
RSL_UI179
- Max. number (&3) of distinct values reached (PartProvider &1, Alias &2) ?The SAP error message RSL_UI179 indicates that the maximum number of distinct values for a particular part provider and alias has been reached. This typically occurs in the context of SAP Analytics or reporting tools where there is a limit on the number of unique values that can be processed or displayed.
Cause: Data Volume: The underlying data set has a large number of distinct values for the specified part provider and alias, exceeding the predefined limit. Configuration Limits: The system may have configuration settings that limit the number of distinct values that can be handled for performance reasons. Query Design: The design of the query or report may inadvertently lead to a high cardinality of values being returned.
Solution: Reduce Distinct Values: Filter Data: Apply filters to reduce the number of distinct values being processed. This can be done by narrowing down the selection criteria in your query or report. Aggregate Data: If possible, aggregate the data
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