A lot has been written about mobile and embedded device platforms lately (aka. ‘phone’ platforms). Usually articles are about the usual incumbent platforms: Android, IOS, and Windows Phone and the handful of alternatives from e.g. RIM and others. Most of the debate seems to revolve around the question whether IOS will crush Android, or the other way around. Kind of a boring debate that generally involves a lot of fan boys from either camp highlighting this or that feature, the beautiful design, and other stuff.
Recently this three way battle (or two way battle really, depending on your views regarding Windows Phone), has gotten a lot more interesting. However, my in view this ‘war’ was actually concluded nearly a decade ago before it even started and mobile linux won in a very unambiguous way. What is really interesting is how this is changing the market right now.
Continue reading “Mobile Linux”
Over the past few months we have been quietly working on the localstre.am platform. As I have mentioned in a previous post, we are using elastic search as a key value store and that’s working pretty nicely for us. In addition to that we are also using it as a geospatial search engine.
Localstrea.am is going to be all about local and that means geospatial data and lots of it. That’s not just POIs (points of interest) but also streets, cities, and areas of interest. In geospatial terms that means shapes: points, paths, and polygons. Doing geospatial search means searching through documents that have geospatial data associated with it using a query that also contains geospatial data. So given a shape, find every document with a shape that overlaps or intersects with it.
Since elastic search is still very new and rapidly evolving (especially the geospatial functionality), I had some worries about whether it would work as advertised. So, after months of coding it was about time to see if it could actually take a decent data set and work as advertised instead of falling over and dying in a horrible way.
Continue reading “Using Elastic Search for geo-spatial search”