Dave,
By changing the order of parts of the query, the number of SERVICE calls
can change. Sometimes it is better to grab more data, once, than many
small calls. And not just for performance if the remote endpoint is
across the unreliable internet.
As Rob says, batching for SERVICE calls would be good to have.
Andy
On 01/05/2019 09:40, Rob Vesse wrote:
Dave
Yes this is what is happening. This stems from the fact that ARQ is
designed as a lazy streaming evaluation engine i.e. It tries to do the
least work possible to answer the query. This is why the underlying
implementation is all iterator driven. In some cases the engine does have
to batch up everything in order to proceed e.g. DISTINCT/aggregation
Introducing some degree of batching for SERVICE blocks might be a nice
optimisation. I think this will definitely be valuable to the community,
contributions are always appreciated
Thanks,
Rob
On 30/04/2019, 18:31, "Dave Griffith" <[email protected]> wrote:
I'm tracking down an issue with a very slow federated query.
Looking
through logs, Jena appears to be doing one call to the remote
endpoint for
every set of values that match locally. This struck me as odd,
since the
SPARQL federation specs suggest that implementations may create
"batched"
queries to remote endpoints using VALUES blocks to pass multiple
bindings.
Looking through the source, it appears that Jena isn't doing that,
but
instead actually is issuing one remote call per binding.
Am I correct in assuming that this optimization isn't being done,
or am I
missing something? Looking through the source, it looks like it
wouldn't
be _too_ difficult to change the QueryIterService class to batch up
some
number of results into an OpTable. OpAsQuery.asQuery would then
render
that as a VALUES block before calling to the remote endpoint.
There are a
variety of issues to be resolved, most especially around batch
size, but
those don't appear insurmountable. I haven't found any discussion
of this
possible optimization, but it's entirely possible I just didn't
know where
to look. I'd be happy to do the work and submit a batch, but if
there's a
reason that people think this optimization shouldn't be done, I'd
love to
hear it before I start.
Thanks for reading, and I'd love to hear any thoughts on the matter.
Dave Griffith
Principal Engineer
data.world