Hi Jena users.
I'm having performance problems with a query that uses text and location
search
The query is roughly this:
SELECT ?score ?ent
WHERE {
?ent spatial:nearby(51.507999420166016 -0.10999999940395355
70.01807880401611 'km') .
(?ent ?score) text:query ('environment' 'lang:en') .
?ent rdf:type iotic:Entity .
}
There are about 450 entities in that radius
There are about 2200 entities with environment in their rdfs:comment
The query takes 5 seconds.
I've tried this:
Commenting out the text predicate the query takes 97 ms
Commenting out the spatial predicate the query takes 438 ms
Swapping the spatial and text predicates it takes 15 seconds
My question is this... It looks like the query is separately getting
the results of the first two predicates and merging (somehow) to find
the intersection. Is there a formulation which will intersect the two
sets faster?
Many TIAs,
Mark
--
Technology Lead, Iotic Labs
[email protected]
https://www.iotic-labs.com
