On 05/19/2014 03:04 PM, Zhang, Shuai wrote:
> Hi All,
> 
> sorry for asking, but what do you think is a good choice of spatial database 
> for high performance geo-computing?
> 
> In some high performance computing scenarios, data size tends to be huge, and 
> a bunch of computer clusters work together with high throughput and tense 
> computation. sometimes we use parallel filesystems like lustre, gfs, hdfs to 
> handle specific problems but what if a spatial database?
> 
> I explored some of postgresql cluster solutions, such as streaming 
> replication, pgpool, slony and so on. I think most of them are designed for 
> failover, and they might not be able to stand up with the huge data size and 
> high performance demands. the case is quite alike in oracle and db2 spatial, 
> i think.
> 
> so any suggestions for projects aiming to build a distributed and parallel 
> spatial database running on a cluster?
> 
> Thanks,
> shuai

I haven't used but have a seen a few Hadoop implementations. If you do
research on Sharding that's the kind of db where the data is split
across nodes not redundantly.

http://www.nathankerr.com/projects/parallel-gis-processing/alternative_approaches_to_parallel_gis_processing.html

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814183/

Then of course depending on your needs there are plenty of MPI
compatible libraries in various languages.

Thanks,
Alex

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