private void ShowMultiset(BaseMultiset multiset)
{
Console.WriteLine(multiset.GetType().ToString());
foreach (ISet s in multiset.Sets)
{
Console.WriteLine(s.ToString());
}
Console.WriteLine();
}
public void SparqlStreamingBgpSelectEvaluation()
{
//Get the Data we want to query
TripleStore store = new TripleStore();
Graph g = new Graph();
FileLoader.Load(g, "resources\\InferenceTest.ttl");
store.Add(g);
//g = new Graph();
//g.LoadFromFile("noise.ttl");
//store.Add(g);
Console.WriteLine(store.Triples.Count() + " Triples in Store");
//Create the Triple Pattern we want to query with
IUriNode fordFiesta = g.CreateUriNode(new Uri("http://example.org/vehicles/FordFiesta"));
IUriNode rdfType = g.CreateUriNode(new Uri(RdfSpecsHelper.RdfType));
IUriNode rdfsLabel = g.CreateUriNode(new Uri(NamespaceMapper.RDFS + "label"));
IUriNode speed = g.CreateUriNode(new Uri("http://example.org/vehicles/Speed"));
IUriNode carClass = g.CreateUriNode(new Uri("http://example.org/vehicles/Car"));
TriplePattern allTriples = new TriplePattern(new VariablePattern("?s"), new VariablePattern("?p"), new VariablePattern("?o"));
TriplePattern allTriples2 = new TriplePattern(new VariablePattern("?x"), new VariablePattern("?y"), new VariablePattern("?z"));
TriplePattern tp1 = new TriplePattern(new VariablePattern("?s"), new NodeMatchPattern(rdfType), new NodeMatchPattern(carClass));
TriplePattern tp2 = new TriplePattern(new VariablePattern("?s"), new NodeMatchPattern(speed), new VariablePattern("?speed"));
TriplePattern tp3 = new TriplePattern(new VariablePattern("?s"), new NodeMatchPattern(rdfsLabel), new VariablePattern("?label"));
TriplePattern novars = new TriplePattern(new NodeMatchPattern(fordFiesta), new NodeMatchPattern(rdfType), new NodeMatchPattern(carClass));
TriplePattern novars2 = new TriplePattern(new NodeMatchPattern(fordFiesta), new NodeMatchPattern(rdfsLabel), new NodeMatchPattern(carClass));
FilterPattern blankSubject = new FilterPattern(new UnaryExpressionFilter(new IsBlankFunction(new VariableTerm("?s"))));
List <List <ITriplePattern> > tests = new List <List <ITriplePattern> >()
{
new List <ITriplePattern>()
{
},
new List <ITriplePattern>()
{
allTriples
},
new List <ITriplePattern>()
{
allTriples, allTriples2
},
new List <ITriplePattern>()
{
tp1
},
new List <ITriplePattern>()
{
tp1, tp2
},
new List <ITriplePattern>()
{
tp1, tp3
},
new List <ITriplePattern>()
{
novars
},
new List <ITriplePattern>()
{
novars, tp1
},
new List <ITriplePattern>()
{
novars, tp1, tp2
},
new List <ITriplePattern>()
{
novars2
},
new List <ITriplePattern>()
{
tp1, blankSubject
}
};
foreach (List <ITriplePattern> tps in tests)
{
Console.WriteLine(tps.Count + " Triple Patterns in the Query");
foreach (ITriplePattern tp in tps)
{
Console.WriteLine(tp.ToString());
}
Console.WriteLine();
ISparqlAlgebra select = new Bgp(tps);
ISparqlAlgebra selectOptimised = new LazyBgp(tps, 10);
//Evaluate with timings
Stopwatch timer = new Stopwatch();
TimeSpan unopt, opt;
timer.Start();
BaseMultiset results1 = select.Evaluate(new SparqlEvaluationContext(null, new InMemoryDataset(store)));
timer.Stop();
unopt = timer.Elapsed;
timer.Reset();
timer.Start();
BaseMultiset results2 = selectOptimised.Evaluate(new SparqlEvaluationContext(null, new InMemoryDataset(store)));
timer.Stop();
opt = timer.Elapsed;
Console.WriteLine("SELECT = " + results1.GetType().ToString() + " (" + results1.Count + " Results) in " + unopt.ToString());
Console.WriteLine("SELECT Optimised = " + results2.GetType().ToString() + " (" + results2.Count + " Results) in " + opt.ToString());
Console.WriteLine();
Console.WriteLine("Optimised Results");
foreach (ISet s in results2.Sets)
{
Console.WriteLine(s.ToString());
}
Assert.IsTrue(results1.Count >= results2.Count, "Optimised Select should have produced as many/fewer results than Unoptimised Select");
Console.WriteLine();
}
}
