Hi Peter,
from my experience Oracle is probably the cause, given a spatial and a
regular index
it has sometimes issues deciding which one to use and ends up using the
wrong one.
You should try PostGis, with proper indexes and statistics setup, with
"only" 3 million records
it should respond fast.
Worth investigating at the very least, let us know how it goes.
Cheers
Andrea
On Tue, Jun 21, 2016 at 4:22 PM, Peter Kovac <peter.ko...@microstep-mis.com>
wrote:
> Dear GeoServer users,
>
> I have trouble figuring out fast and scalable way to serve lightning
> data via GeoServer.
>
> My dataset consists of several million points spread over central Europe
> spanning several years. I have approximately 3M lightning strikes right
> now and it's just a fraction of what I'll have to handle ultimately. I'm
> using Oracle Locator database with both spatial and normal indexes and
> while it has a few quirks it works reasonably well when the amount of
> lightnings is small (i.e. in thousands or tens of thousands).
>
> While my WMS client will never allow to show more than 2 hours worth of
> data (that's small amount of lightning strikes) there are particular WMS
> requests which take a very long time: when I want to see a "bigger
> picture" of all lightning strikes in central Europe during a specified
> short period of time.
>
> The core of the problem is my data have both spatial and temporal
> dimension and there is no spatio-temporal index in Oracle Locator. So
> even if regular index on the time dimension can limit the number of
> features to a few thousands in the blink of an eye, the spatial index
> over the point geometry column won't help much (since the BBOX in the
> request covers the whole area anyway) and is in fact doing harm. The
> query found in GeoServer logs runs really fast If I omit the spatial
> index clause in such case (just a few hundred ms compared to 6-7 seconds
> for the full query with SDO_FILTER function call). Another bad thing is
> my colleagues predict that the performance will get worse with more data
> in the table once it won't fit into RAM and the database engine will
> have to use hard drives for processing.
>
> The performance improves rapidly as I zoom to larger scales (smaller
> areas), where the spatial index selects just a small subset of data.
> However, I'd like to be able to serve the whole central Europe quickly,
> too.
>
> One possible solution is to add the time dimension to my spatial index
> (so it's 3D instead of 2D), but I'm afraid GeoServer won't be able to
> retrieve data from such index (it won't be EPSG:3857 geometry anymore).
>
> Another solution from an Oracle forum suggests using partitioning over
> time and have separate spatial index for each partition, but that
> requires expensive Oracle Enterprise license (which was not budgeted in
> the project of course) and it's just dividing the problem by a constant
> factor anyway.
>
> So, since I'm out of my own ideas, how would you handle this situation?
> What other tools or formats are useful? Is the Postgres/PostGIS combo
> better at serving large-scale spatio-temporal datasets (with regard to
> GeoServer)?
>
>
> Many thanks for any help!
>
> --
> Peter Kovac
> IMS Programmer
> MicroStep-MIS
> peter.ko...@microstep-mis.com
>
>
>
> ------------------------------------------------------------------------------
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==
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==
Ing. Andrea Aime
@geowolf
Technical Lead
GeoSolutions S.A.S.
Via di Montramito 3/A
55054 Massarosa (LU)
phone: +39 0584 962313
fax: +39 0584 1660272
mob: +39 339 8844549
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