A few people did a real time analytics system with solr and talked about it at conferences. Maybe you'll find their presentations useful: https://www.youtube.com/results?search_query=solr%20real%20time%20analytics&oq=&gs_l= (esp. the first one: https://www.youtube.com/watch?v=PkoyCxBXAiA )
On Thu, Feb 4, 2016 at 8:25 AM, Rohit Kumar <rohitkumarbhagat...@gmail.com> wrote: > Thanks Bhimavarapu for the information. > > We are creating our own dashboard, so probably wont need kibana/banana. I > was more curious about Solr support for fast aggregation query over very > large data set. As suggested, I guess elasticsearch has this capability. > Is there any published metrics or data regarding elasticsearch/solr > performance in this area that I can refer to? > > Thanks > Rohit > > > > On Thu, Feb 4, 2016 at 11:48 AM, CKReddy Bhimavarapu <chaitu...@gmail.com> > wrote: > > > Hello Rohit, > > > > You can use the Banana project which was forked from Kibana > > <https://github.com/elastic/kibana>, and works with all kinds of time > > series (and non-time series) data stored in Apache Solr > > <https://lucene.apache.org/solr/>. It uses Kibana's powerful dashboard > > configuration capabilities, ports key panels to work with Solr, and > > provides significant additional capabilities, including new panels that > > leverage D3.js <http://d3js.org/> > > > > would need mostly aggregation queries like sum/average/groupby etc, but > > > data set is quite huge. The aggregation queries should be very fast. > > > > > > all your requirement can be served by this banana but I'm not sure about > > how fast solr compare to ELK <https://www.elastic.co/products> > > > > On Thu, Feb 4, 2016 at 10:51 AM, Rohit Kumar < > > rohitkumarbhagat...@gmail.com> > > wrote: > > > > > Hi > > > > > > I am quite new to Solr. I have to build a real time analytics system > > which > > > displays metrics based on multiple filters over a huge data set > > (~50million > > > documents with ~100 fileds ). I would need mostly aggregation queries > > like > > > sum/average/groupby etc, but data set is quite huge. The aggregation > > > queries should be very fast. > > > > > > Is Solr suitable for such use cases? > > > > > > Thanks > > > Rohit > > > > > > > > > > > -- > > ckreddybh. <chaitu...@gmail.com> > > > -- Arkadiusz Robiński Software Developer Otodom.pl
