/// <summary>
/// Optimises an Algebra to a form that uses <see cref="LazyBgp">LazyBgp</see> where possible
/// </summary>
/// <param name="algebra">Algebra</param>
/// <param name="depth">Depth</param>
/// <returns></returns>
/// <remarks>
/// <para>
/// By transforming a query to use <see cref="LazyBgp">LazyBgp</see> we can achieve much more efficient processing of some forms of queries
/// </para>
/// </remarks>
protected override ISparqlAlgebra OptimiseInternal(ISparqlAlgebra algebra, int depth)
{
try
{
ISparqlAlgebra temp;
//Note this first test is specifically for the default BGP implementation since other optimisers
//may run before us and replace with other BGP implementations which we don't want to replace hence
//why we don't check for IBgp here
if (algebra is Bgp)
{
temp = new LazyBgp(((Bgp)algebra).TriplePatterns);
}
//else if (algebra is ILeftJoin)
//{
// ILeftJoin join = (ILeftJoin)algebra;
// temp = new LeftJoin(this.OptimiseInternal(join.Lhs, depth + 1), join.Rhs, ((LeftJoin)algebra).Filter);
//}
else if (algebra is IUnion)
{
IUnion join = (IUnion)algebra;
temp = new LazyUnion(this.OptimiseInternal(join.Lhs, depth + 1), this.OptimiseInternal(join.Rhs, depth + 1));
}
else if (algebra is IJoin)
{
IJoin join = (IJoin)algebra;
if (join.Lhs.Variables.IsDisjoint(join.Rhs.Variables))
{
//If the sides of the Join are disjoint then can fully transform the join since we only need to find the requisite number of
//solutions on either side to guarantee a product which meets/exceeds the required results
//temp = new Join(this.OptimiseInternal(join.Lhs, depth + 1), this.OptimiseInternal(join.Rhs, depth + 1));
temp = join.Transform(this);
}
else
{
//If the sides are not disjoint then the LHS must be fully evaluated but the RHS need only produce enough
//solutions that match
//temp = new Join(join.Lhs, this.OptimiseInternal(join.Rhs, depth + 1));
temp = join.TransformRhs(this);
}
}
else if (algebra is Algebra.Graph)
{
//Algebra.Graph g = (Algebra.Graph)algebra;
//temp = new Algebra.Graph(this.OptimiseInternal(g.InnerAlgebra, depth + 1), g.GraphSpecifier);
IUnaryOperator op = (IUnaryOperator)algebra;
temp = op.Transform(this);
}
else
{
temp = algebra;
}
return temp;
}
catch
{
//If the Optimise fails return the current algebra
return algebra;
}
}
public void SparqlStreamingBgpSelectEvaluation()
{
//Get the Data we want to query
TripleStore store = new TripleStore();
Graph g = new Graph();
FileLoader.Load(g, "InferenceTest.ttl");
store.Add(g);
//g = new Graph();
//FileLoader.Load(g, "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 VariableExpressionTerm("?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 (Set 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();
}
}
