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Posted to dev@jena.apache.org by "Andy Seaborne (Jira)" <ji...@apache.org> on 2021/05/17 15:05:00 UTC
[jira] [Comment Edited] (JENA-2107) RDF Star performance issue with
non-concrete node triples
[ https://issues.apache.org/jira/browse/JENA-2107?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17346211#comment-17346211 ]
Andy Seaborne edited comment on JENA-2107 at 5/17/21, 3:04 PM:
---------------------------------------------------------------
{{tdbquery}} processing will be in SolverRX (one each for TDB1, TDB2).
was (Author: andy.seaborne):
{{tdbquery}} with be in SolverRX (one each for TDB1, TDB2).
> RDF Star performance issue with non-concrete node triples
> ---------------------------------------------------------
>
> Key: JENA-2107
> URL: https://issues.apache.org/jira/browse/JENA-2107
> Project: Apache Jena
> Issue Type: Improvement
> Components: ARQ
> Affects Versions: Jena 3.17.0, Jena 4.0.0
> Reporter: Lorenz Bühmann
> Priority: Critical
> Fix For: Jena 4.1.0
>
>
> the following graph pattern is not evaluated efficiently (results in full-scan per binding) because the second triple pattern doesn't take advantage of the bindings generated by evaluation of the first one:
> {code:java}
> ?s <p> ?o .
> << ?s <p> ?o >> <p2> ?v .
> {code}
> A possible fix would be to adapt the method {{rdfStarTripleSub()}} in class
> [SolverRX3.java|https://github.com/apache/jena/blob/2efff8a00b4ffa82751cf46c8a3fed84b6ff3090/jena-arq/src/main/java/org/apache/jena/sparql/engine/main/solver/SolverRX3.java#L63-L71]
> by changing the beginning to
> {code:java}
> private static Iterator<Binding> rdfStarTripleSub(Binding input, Triple xPattern, ExecutionContext execCxt) {
> Triple tPattern = Substitute.substitute(xPattern, input);
> {code}
> We went from 75s for a very small dataset (50k triples) to near instant response times.
> If this fix is correct and doesn't break anything, it might be the same way to fix for its quads counterpart in {{SolverRX4}} class.
>
> Note, for tdbquery, this seems to be evaluated at a different place? At least, we couldn't find any performance improvement, it's still horribly slow.
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