Thanks, Dave!

S.

On 9/22/17, 12:21 AM, "Dave Reynolds" <[email protected]> wrote:

    Sorry, missed this question ...
    
    It depends on the scale of the data, the size of the tomcat application, 
    the machine sizes available and how much API-side in-memory caching you 
    want to do.
    
    We use both styles successfully. For modest data even at high load, or 
    for large data at modest load then having both on the same machine works 
    fine and is slightly easier to scale out. So long as your machines have 
    a reasonable memory footprint for the data scale. For larger data 
    (300-400MT plus) with either significant query rates or very memory 
    hungry applications we split the data and front end tiers.
    
    Dave
    
    On 19/09/17 20:02, Dimov, Stefan wrote:
    > Thanks for the response!
    > 
    > One more question:
    > 
    > Would it be better if I put Tomcat on one machine and have Fuseki on 
another?
    > 
    > Provided they are both in the same network and the connection between 
them is unobstructed, wouldn’t this improve the performance, considering they 
don’t share memory/CPU?
    > 
    > Regards,
    > Stefan
    > 
    > On 9/19/17, 5:24 AM, "Dave Reynolds" <[email protected]> wrote:
    > 
    >      On 19/09/17 11:33, George News wrote:
    >      >
    >      > On 2017-09-19 09:57, Dave Reynolds wrote:
    >      >> On 19/09/17 01:13, Dimov, Stefan wrote:
    >      >>> Hi,
    >      >>>
    >      >>> I have Tomcat setup, that receives REST requests, “translates” 
them
    >      >>> into SAPRQL queries, invokes them on the underlying FUSEKI and 
returns
    >      >>> the results:
    >      >>>
    >      >>>
    >      >>> USER AGENT
    >      >>> ^
    >      >>> REST
    >      >>> v
    >      >>> ---------------
    >      >>> TOMCAT
    >      >>> ^
    >      >>> REST
    >      >>> v
    >      >>> -------------
    >      >>> FUSEKI
    >      >>> ------------
    >      >>> JENA
    >      >>> -----------
    >      >>> TDB
    >      >>> ----------
    >      >>>
    >      >>> Would I be able to achieve significant performance improvement, 
if I
    >      >>> use directly the JENA libraries and bypass FUSEKI?
    >      >>
    >      >> Unlikely. We successfully use the set up you describe for dozens 
of
    >      >> services, some quite high load. We have a few which go direct to 
Jena
    >      >> for legacy reasons and they show no particular performance 
benefits.
    >      >>
    >      >> If your payloads can be large then make sure the way you are 
driving
    >      >> fuseki is streaming and doesn't accidentally store the entire 
SPARQL
    >      >> results in your tomcat app. This also means chosing a streamable 
media
    >      >> type for your fuseki requests.
    >      >
    >      > I'm using Jena to create my own REST service and I'm facing some 
issues
    >      > when SPARQL resultsets are big. Could you please give me a hint on 
the
    >      > streaming stuff from fuseki so I can incorporate that to my REST 
service?
    >      
    >      If you are just doing SELECTs then it should be straightforward. Of 
the
    >      sparql results media types then at least XML and TSV are streaming. 
We
    >      just use Jena's QueryExecutionFactory.sparqlService in the REST 
service
    >      to set up the execution. We wrap the ResultSet from execSelect and
    >      process that one row at a time. Our wrapper keeps track of the
    >      underlying QueryExecution so we can close that when finished or in 
the
    >      event of a problem.
    >      
    >      For DESCRIBE/CONSTRUCT queries then use a streamable media type for 
the
    >      RDF such as ntriples/nquads. We have less experience of that, we 
tend to
    >      actually execute those in batches (a SELECT provides a set of 
resource
    >      bindings and we then issue a DESCRIBE on those resources one batch 
at a
    >      time).
    >      
    >      Dave
    >      
    >      
    > 
    

Reply via email to