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https://issues.apache.org/jira/browse/SOLR-6351?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Steve Molloy updated SOLR-6351:
-------------------------------
Attachment: SOLR-6351.patch
Addressing some comments. Remove unused for-loop and CommonParams.STATS. Didn't
touch the notSupprted test methods, will let Vitaliy a chance to speak for
their usefulness. Also reverted the hasValues logic to replace it with checking
if current pivot has positive count. Although it does produce some stats
entries with Infinity minimum/maximum and NaN mean. This is what I was asking
about before, I think I misunderstood the answer, but it still seems
error-prone to have such entries...
Finally, I updated some of the outputs to use NamedList instead of maps so that
solrj binary works better. Did have to sort fields in QueryResponse to get
tests to pass. Not sure this is the best way, but would sometimes get them out
of order if I didn't.
> Let Stats Hang off of Pivots (via 'tag')
> ----------------------------------------
>
> Key: SOLR-6351
> URL: https://issues.apache.org/jira/browse/SOLR-6351
> Project: Solr
> Issue Type: Sub-task
> Reporter: Hoss Man
> Attachments: SOLR-6351.patch, SOLR-6351.patch, SOLR-6351.patch,
> SOLR-6351.patch, SOLR-6351.patch
>
>
> he goal here is basically flip the notion of "stats.facet" on it's head, so
> that instead of asking the stats component to also do some faceting
> (something that's never worked well with the variety of field types and has
> never worked in distributed mode) we instead ask the PivotFacet code to
> compute some stats X for each leaf in a pivot. We'll do this with the
> existing {{stats.field}} params, but we'll leverage the {{tag}} local param
> of the {{stats.field}} instances to be able to associate which stats we want
> hanging off of which {{facet.pivot}}
> Example...
> {noformat}
> facet.pivot={!stats=s1}category,manufacturer
> stats.field={!key=avg_price tag=s1 mean=true}price
> stats.field={!tag=s1 min=true max=true}user_rating
> {noformat}
> ...with the request above, in addition to computing the min/max user_rating
> and mean price (labeled "avg_price") over the entire result set, the
> PivotFacet component will also include those stats for every node of the tree
> it builds up when generating a pivot of the fields "category,manufacturer"
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