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https://issues.apache.org/jira/browse/SOLR-17226?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Alessandro Benedetti updated SOLR-17226:
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Labels: (was: test)
> Learning To Rank feature logging should support query limits
> ------------------------------------------------------------
>
> Key: SOLR-17226
> URL: https://issues.apache.org/jira/browse/SOLR-17226
> Project: Solr
> Issue Type: Improvement
> Security Level: Public(Default Security Level. Issues are Public)
> Components: contrib - LTR
> Affects Versions: 9.5.0
> Reporter: Alessandro Benedetti
> Priority: Major
>
> Currently the feature extraction that happens at re-scoring time is separated
> from the feature extraction that happens with the feature logger transformer.
> This has various implications, especially for caching and query limits
> support:
> -Features extracted for rescoring are not cached and re-used for logging and
> vice-versa
> - when features are extracted for logging and presentation, no query limit is
> checked
> Scope of this issue is just to address the second point:
> Query Limits should be checked when feature extraction happens for feature
> logging.
> If a limit is exceeded a partial result should returned (flagged as partial).
> A possible approach is to check the query limit after each document.
> So the partial result will present the feature vector only for the docs Solr
> processed within the time limit and no more.
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