Short answer: yes. With properly sharded and scaled out environment, and
using ES 1.4 or newer, you should be able to get those numbers.

--

Itamar Syn-Hershko
http://code972.com | @synhershko <https://twitter.com/synhershko>
Freelance Developer & Consultant
Lucene.NET committer and PMC member

On Tue, Mar 24, 2015 at 5:38 PM, Dmitry <dmitry.bit...@gmail.com> wrote:

> Hello,
>
> I'm evaluating elasticsearch for use in new project. I can see that it has
> all search features we need. Problem is that after reading documentation
> and forum I still can't understand whether elastic is suitable technology
> for us performance-wise. I'd be very grateful to get your opinion on that.
>
>
> We're building a directory of businesses, similar to Yelp. We have 5m
> businesses, and main feature of our site is faceted search on different
> facets: geography (tens of thousands geo objects), business type (several
> thousand options), additional services offered by that business (hundreds)
> and so on. So for each request (combination of search parameters) we need
> to get search results, but also what options are available in each facet
> (for example, what business types are located are in selected geography)
> for user to be able to narrow down his search (example:
> http://take.ms/oAZan). Full text search (by business name for example) is
> used in very small percentage of requests, bulk of requests is exact match
> on one or several facets.
>
> Based on the similar our project we expect 1-5m requests per day. All
> requests are highly diversified: no single page (combination of search
> params) constitutes more than 0,1% of total requests. We expect to be able
> to answer request in 200-300ms, so I guess request to elasticsearch should
> take no more than 100ms.
>
> On our similar project we use big lookup table in database with all
> possible combinations of params mapped to search result count. For each
> request we generate all possible combinations of parameters to refine
> current search and then check lookup table to see if they have any results.
>
>
> My questions are:
>
> Is elastic search suitable for our purposes? Specifically, are
> aggregations meant to be used in large number of low-latency requests, or
> are they more like analytical feature, where response time is not that
> important? I ask that because in discussions of aggregation and faceting
> performance here and elsewhere response times are mentioned in 1-10s range,
> which is ok for analytics and infrequent searches, but obviously on ok for
> us.
>
> How hard it is to get performance we need: 50 rps, 100ms response time for
> search+facets, on some reasonable hardware, taking into account big number
> of possible facet combinations and high diversification of requests? What
> kind of hardware should we expect to handle our loads? I understand that
> these are vague questions, but I just need some approximation. Is it more
> like 1 server with commodity hardware and simple configuration, or more
> like cloud of 10 servers and extensive tuning? For example, our lookup
> table solution works on 1 commodity server with 16gb of ram with almost
> default setup.
>
>
> Thank you for your responses,
> Dmitry
>
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