Hi, Sample size means number of triples?
I have tried with 6000,40000,50000 and even with 1,00,000 triples. Please find the performance report attached with this email. Regards, Deepali On Mon, Jan 4, 2021 at 1:03 PM Lorenz Buehmann < buehm...@informatik.uni-leipzig.de> wrote: > What is the sample size here? I mean, for a low number of literals it's > obvious that String containment check in Java isn't that slow. The > difference will most likely come from a large scan over literals with > containment check whereas with a Lucene index - which is basically an > inverted index - it's obviously more efficient to lookup terms for the > documents. > > On 04.01.21 05:56, Deepali Singhavi wrote: > > Hi, > > > > I am trying to implement indexing for Fuseki using > > Lucene/ElasticSearch using an assembler configuration file (attaching > > file for reference) but there is no improvement in performance > > (performance without index is better than with index). > > > > I am using sample data from *films.ttl* file. > > > > *Sample Query * > > PREFIX text: <http://jena.apache.org/text#> > > PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#> > > select ?subject ?object > > WHERE { > > # Without Index > > #?subject rdfs:label ?object . > > #FILTER contains(?object,"City") > > #With Index > > ?subject text:query (rdfs:label "city"). > > ?subject rdfs:label ?object . > > } > > > > *Performance:* > > > > No of Triples > > > > > > > > No of Runs > > > > > > > > Without Index > > > > > > > > Lucene Index > > > > > > > > ElasticSearch Index > > > > 6918 > > > > > > > > 1 > > > > > > > > 16ms > > > > > > > > 18ms > > > > > > > > 19ms > > > > 2 > > > > > > > > 29ms > > > > > > > > 32ms > > > > > > > > 32ms > > > > 3 > > > > > > > > 22ms > > > > > > > > 23ms > > > > > > > > 21ms > > > > 4 > > > > > > > > 22ms > > > > > > > > 14ms > > > > > > > > 53ms > > > > 5 > > > > > > > > 15ms > > > > > > > > 19ms > > > > > > > > 18ms > > > > > > Please let me know if any other information is required from my side > > and please suggest how I can improve performance. > > > > Regards, > > Deepali > > >
Index Performance.xlsx
Description: MS-Excel 2007 spreadsheet
