Please look into streaming expressions. I think that is what you are looking for. https://cwiki.apache.org/confluence/display/solr/Streaming+Expressions
Thanks, Susheel On Thu, Oct 6, 2016 at 11:56 AM, John Bickerstaff <j...@johnbickerstaff.com> wrote: > This may help? Note the "Bloomberg Analytics" at the bottom of the post... > > https://dzone.com/articles/solr-not-just-for-text-anymore > > Quote from article: > > > - *Bloomberg Analytics Component for Solr*: Bloomberg Financial Services > uses Solr extensively, and found the existing statistical packages > woefully > lacking. So, they developed a high-performance framework that can > perform > complex calculations and aggregations on time-series data, and then > released it to OpenSource. > > > On Thu, Oct 6, 2016 at 8:53 AM, Shawn Heisey <apa...@elyograg.org> wrote: > > > On 10/6/2016 12:04 AM, Lewin Joy (TMS) wrote: > > > There is a requirement to take an average on "Amount" field against > > > each "code" field. And then calculate the averages on this averages. > > > Since my "code" field has a very huge cardinality, which could be > > > around 200,000 or even in millions ; It gets highly complex to > > > calculate the average of averages through Java. Even Solr takes a huge > > > time listing the averages. And the JSON response size becomes huge. Is > > > there some way we can tackle this? Any way we stats on stats? > > > > I wasn't sure what you meant with the first sentence I quoted above, but > > in order to get statistics from your index that are relevant for the > > results of a query, you probably want the stats component. > > > > https://cwiki.apache.org/confluence/display/solr/The+Stats+Component > > > > Thanks, > > Shawn > > > > >
