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Re: [geomesa-users] Collision detection in large regions
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Hi Eric,
If your only need is to batch-analyze your data, then I'd say you might
have a fair point. I think there's a good chance that a Spark
implementation of the algorithm would be pretty straightforward and be a
little quicker than a map-reduce implementation.
One benefit to using GeoMesa is that the RDD creation function does take
a filter. Using that, the code could be run on subsets of your data.
If this is a streaming problem, the GeoMesa KafkaDataStore may be useful
in a number of ways.
Since this problem comes up fairly routinely, I'd be interested in
seeing the algorithm coded up in GeoMesa so that the business logic bit
could be dropped in quickly. At the minute, that's a backburner idea
though.
Cheers,
Jim
On 3/1/2016 2:37 PM, Eric Ahlberg wrote:
Hi again!
If I understand it correctly, the implementation of the algorithm will not benefit
very much by using GeoMesa since the main computation time will be spent
in the map-reduce jobs after the fetching of the data. Actually, I have looked
into grouping using GeoHash and I think that might be the way to go. Thanks
for the input!
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