That's a tough requirement -- even if the OS and your program took up no space,
you only have 20k per object, including overhead of the tree itself. Are your
geometries that small?
On Jan 17, 2014, at 6:56 AM, Demeter Sztanko <[email protected]> wrote:
> Hi all,
>
> I need to store around 50M objects in a spatial index (I need only support
> for bulk insert and concurrent intersection() operations). I need then to
> semi-randomly access the objects (that is, I probably will have 300 requests
> within one location, then another 300 in another random location, etc.)
>
> STRTree is great and fast, however I need around 50GB of RAM for fitting the
> tree which is unfortunately too expensive for me to maintain in long term.
>
> I need a solution that can run on 1Gb of RAM and SSD disks (it's a
> digitalocean cloud instance)
>
> I have also tried using Lucene for storing spatial index, which is also
> feasible but around 10 times slower even on SSD disks.
>
> I was wondering if you know of any other minimal java libraries that can do
> what I am looking for yet they are still relatively fast.
>
>
> Thanks,
>
> D.
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