If you can't wait for native geo-spatial indexes, there are also numerous techniques for creating them over distributed hash tables (like Riak). In some limited use-cases, you could create flat indexes directly in Riak, where the keys are named for the distance along a space-filling curve (like Hilbert, Lebesgue/Z-curve or Peano). The flat-index technique plays nicely with Riak's existing MapReduce query system.
On Fri, Jul 1, 2011 at 10:30 AM, David Smith <diz...@basho.com> wrote: > Hi Stanislavs, > > On Thu, Jun 30, 2011 at 5:15 PM, Staņislavs Koikovs > <stanislavs.koik...@gmail.com> wrote: > > > > * Distributed counters; > > * Geospatial indexing support in search; > > * Offline / batch processing for data. > > As you noted, we're sorta busy with the existing features for the next > major release. :) Insofar as counters go, we've had some discussion > about how to do them and may take a look at it after the release -- a > lot depends on customer needs. > > Can you elaborate on what you mean by offline/batch processing? We're > working on improving the usefulness of MapReduce w/ very large jobs, > but I'm not sure if that aligns with what you're asking about. > > Thanks, > > D. > > -- > Dave Smith > Director, Engineering > Basho Technologies, Inc. > diz...@basho.com > > _______________________________________________ > riak-users mailing list > riak-users@lists.basho.com > http://lists.basho.com/mailman/listinfo/riak-users_lists.basho.com > -- Sean Cribbs <s...@basho.com> Developer Advocate Basho Technologies, Inc. http://www.basho.com/
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