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https://issues.apache.org/jira/browse/SOLR-6354?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14101572#comment-14101572
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Crawdaddy commented on SOLR-6354:
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I did manage to get something working, but it has some problems. I see what
you mean on the StatsValuesFactory refactor. Because I was experimenting with
this in a copy of StatsComponent (which by the way, is not easy to do!), I
ended up not modifying StatsValuesFactory at all. Instead, I wrote a couple
inner classes extending NumericStatsValues and FieldType that take a
ValueSource as input. In SimpleStats.getStatsFields() and
SimpleStats.getFieldCacheStats(), I catch the exception to schema.getField()
that is thrown when trying to look up non-existent function fields, and return
my custom NSV/FT-based classes - stored in rb._statsInfo - instead. This seems
to have broken stat faceting, however, I think since other calls to
StatsValuesFactory.createStatsValues outside StatsComponent don't use the same
logic. No doubt yours is the better road to travel - I was shooting for
quick-n-dirty to see if this was a useful approach to a stats problem.
Also, regarding changing the output key: either this was either broken already,
or I broke it somehow.
Would it be useful for me to upload what I have as a reference point for you or
someone else to implement more coherently? I'm not sure I have the bandwidth
to pull down a virgin Solr and migrate the changes at this time.
> 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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