[jira] [Updated] (SOLR-6352) Let Stats Hang off of Range Facets

["Shalin Shekhar Mangar (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SOLR-6352?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Shalin Shekhar Mangar updated SOLR-6352:
----------------------------------------
    Attachment: SOLR-6352.patch

Here's a patch which implements this feature according to the response format described above.

There are still a few nocommits:
# Support for hanging stats is not implemented when facet.range.method=dv
# I don't know what to do when group.facet=true. It looks like this option just counts the number of groups when the current facet range is applied as a filter. But there is no DocSet to calculate the filter on except the base DocSet which is the results of the main query. For now, this patch just throws an exception in such a case.

> Let Stats Hang off of Range Facets
> ----------------------------------
>
>                 Key: SOLR-6352
>                 URL: https://issues.apache.org/jira/browse/SOLR-6352
>             Project: Solr
>          Issue Type: Sub-task
>            Reporter: Hoss Man
>            Assignee: Shalin Shekhar Mangar
>         Attachments: SOLR-6352.patch
>
>
> The same basic idea as the sibling pivot issue: ask the RangeFacet code to compute some stats X for each range it generates.  We can 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.range}} instance
> Example...
> {noformat}
> facet.range={!stats=s1}timestamp
> facet.range={!stats=s2}bytes_sent
> stats.field={!key=sum_bytes tag=s1 sum=true}bytes_sent
> stats.field={!tag=s1 percentiles=99}request_duration
> stats.field={!tag=s2 mean=true percentiles=99}request_duration
> {noformat}
> ...with the request above, (hypothetically over an index of web log traffic) each range bucket over the "timestamp" field will (in addition to simple facet count) also include the sum of total bytes_sent, and the 99th percentile of request_duration for all docs in that time range; and each range bucket over the "bytes_sent" field will (in addition to simple facet count) also include the mean and 99th percentile of request_duration.



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