It does indeed, you just have to set it up initially, see docs:
https://jena.apache.org/documentation/query/text-query.html
On 08.12.21 11:47, Matt Whitby wrote:
Jena has a text index?
On Wed, 8 Dec 2021 at 10:07, Lorenz Buehmann <
buehm...@informatik.uni-leipzig.de> wrote:
Even if it's not the strings leading to performance issues, using the
Jena text index might be definitely more efficient
On 08.12.21 10:38, Matt Whitby wrote:
Fuseki. No inference. TDB2.
M
On Wed, 8 Dec 2021 at 09:25, Andy Seaborne <a...@apache.org> wrote:
Lots of questions! Details matter!!
On 08/12/2021 09:05, Matt Whitby wrote:
It's hosted in a container in Azure.
(Jena storage layer)
Using TDB1? TDB2?
I test it via Postman (though we're writing a RESTFul API to sit on
top).
So this is Fuseki? Is there any inference being used?
Andy
On Wed, 8 Dec 2021 at 09:00, Andy Seaborne <a...@apache.org> wrote:
Hi Matt,
That query does not look couple-of-minutes expensive.
Could you run it removing parts to see what happens? e.g. Remove one
OPTIONAL and it's associated part of the filter.
Which storage layer are you using?
Andy
On 07/12/2021 20:18, aj...@apache.org wrote:
On Tue, Dec 7, 2021, 1:55 PM Matt Whitby <matt.whi...@gmail.com>
wrote:
I dare say running an lcase against each field doesn't help matters,
but
with
no other way of doing a case-insensitive search (well, Regex - but
who
likes
Regex?) I'm not sure.
On this point alone, if it does turn out that string processing is
what
is
costing you time, you might adjust your data to include a convenience
property with county, district, and parish in lowercase. Then you
could
do
a more direct (and cheaper) match.
That having been said, it seems unlikely to me that timed-out queries
are
due to something as cheap as lowercasing. Have you tried peeling off
some
of those OPTIONALs to see how much they cost?
Adam
On Tue, Dec 7, 2021, 1:55 PM Matt Whitby <matt.whi...@gmail.com>
wrote:
I have a Sparql question if that's okay.
There are only around 8m triples in our test data, so pretty small.
The query takes a good couple of minutes to run (and sometimes just
times
out).
I dare say running an lcase against each field doesn't help matters,
but
with no other way of doing a case-insensitive search (well, Regex -
but
who
likes Regex?) I'm not sure.
Any obvious ways to make it less bad?
PREFIX xsd: <http://www.w3.org/2001/XMLSchema#>
select ?s ?name
where {
?s <http://www.historicengland.org.uk/data/schema/simplename/name>
?name .
OPTIONAL {?s <http://www.historicengland.org.uk/data/schema/county>
?county}.
OPTIONAL {?s <
http://www.historicengland.org.uk/data/schema/district/
?district}.
OPTIONAL {?s <http://www.historicengland.org.uk/data/schema/parish>
?parish}.
FILTER (CONTAINS(lcase(?county),"lewes") || CONTAINS(
lcase(?district),"lewes") || CONTAINS( lcase(?parish),"lewes"))
}
limit 10
