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https://issues.apache.org/jira/browse/SOLR-6354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14091545#comment-14091545
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Hoss Man commented on SOLR-6354:
--------------------------------
Proposed implementation...
* SimpleStats should check the local params of each {{stats.field}} for a
"type" param
** type is already treated special in local param parsing as as way to specify
the parser type for the body of the string, ie: {{\{!foo\}...}} is just an
alias for {{\{!type=foo\}...}}
* if "type" param doesn't exist, or is the empty string, treat the param value
as a regular field name and get it's value source (just like is done today)
* if "type" does exist, do normal QParserPlugin lookup to parse the param value
** if the resulting Query is {{instanceof FunctionQuery}}, cast it and pull out
it's ValueSource
** else: wrap the Query in a QueryValueSource
* add a new subclass of NumericStatsValues that can be constructed directly
with a ValueSource
> Support stats over functions
> ----------------------------
>
> Key: SOLR-6354
> URL: https://issues.apache.org/jira/browse/SOLR-6354
> Project: Solr
> Issue Type: Sub-task
> Reporter: Hoss Man
>
> The majority of the logic in StatsValuesFactory for dealing with stats over
> fields just uses the ValueSource API. There's very little reason we can't
> generalize this to support computing aggregate stats over any arbitrary
> function (or the scores from an arbitrary query).
> Example...
> {noformat}
> stats.field={!func key=mean_rating
> mean=true}prod(user_rating,pow(editor_rating,2))
> {noformat}
> ...would mean that we can compute a conceptual "rating" for each doc by
> multiplying the user_rating field by the square of the editor_rating field,
> and then we'd compute the mean of that "rating" across all docs in the set
> and return it as "mean_rating"
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