public void SparqlOptimiserQueryWeightedSimple2()
{
try
{
const string query = @"PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT * WHERE
{
?s rdfs:label ?label .
?s rdfs:comment ?comment .
}";
Graph weightings = new Graph();
#if PORTABLE
weightings.LoadFromEmbeddedResource("VDS.RDF.Query.SampleWeightings.n3, dotNetRDF.Portable.Test");
#else
weightings.LoadFromEmbeddedResource("VDS.RDF.Query.SampleWeightings.n3, dotNetRDF.Test");
#endif
SparqlOptimiser.QueryOptimiser = new WeightedOptimiser(weightings);
SparqlQuery q = this._parser.ParseFromString(query);
Console.WriteLine(this._formatter.Format(q));
Assert.IsTrue(q.RootGraphPattern.TriplePatterns[0].Variables.Contains("comment"), "First Triple Pattern should contain ?comment");
Assert.IsTrue(q.RootGraphPattern.TriplePatterns[1].Variables.Contains("label"), "Second Triple Pattern should contain ?label");
}
finally
{
SparqlOptimiser.ResetOptimisers();
}
}
private void DisableFullTextIndex()
{
if (this._dataset is WebDemandDataset)
{
WebDemandDataset ds = (WebDemandDataset)this._dataset;
if (ds.UnderlyingDataset is FullTextIndexedDataset)
{
this._dataset = ds.UnderlyingDataset;
this.DisableFullTextIndex();
this._dataset = new WebDemandDataset(this._dataset);
}
}
else if (this._dataset is FullTextIndexedDataset)
{
SparqlOptimiser.RemoveOptimiser(this._ftOptimiser);
this._ftOptimiser = null;
this._ftSearcher.Dispose();
this._ftSearcher = null;
this._dataset = ((FullTextIndexedDataset)this._dataset).UnderlyingDataset;
this._ftIndexer.Dispose();
this._ftIndexer = null;
this._ftIndex.Dispose();
this._ftIndex = null;
}
this._processor = new LeviathanQueryProcessor(this._dataset);
}
public void SparqlOptimiserQueryWeightedUnknowns2()
{
try
{
String query = @"PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT * WHERE
{
?s <http://weightings/PredicatesLast> ?o .
<http://weightings/SubjectsFirst> ?p ?o .
?s ?p 'Objects In Middle' .
}";
Graph weightings = new Graph();
#if PORTABLE
weightings.LoadFromEmbeddedResource("VDS.RDF.Query.SampleWeightings.n3, dotNetRDF.Portable.Test");
#else
weightings.LoadFromEmbeddedResource("VDS.RDF.Query.SampleWeightings.n3, dotNetRDF.Test");
#endif
SparqlOptimiser.QueryOptimiser = new WeightedOptimiser(weightings);
SparqlQuery q = this._parser.ParseFromString(query);
Console.WriteLine(this._formatter.Format(q));
Assert.IsTrue(q.RootGraphPattern.TriplePatterns[0].Variables.Intersect(new String[] { "p", "o" }).Count() == 2, "First Triple Pattern should contain ?p and ?o");
Assert.IsTrue(q.RootGraphPattern.TriplePatterns[1].Variables.Intersect(new String[] { "s", "p" }).Count() == 2, "Second Triple Pattern should contain ?s and ?p");
Assert.IsTrue(q.RootGraphPattern.TriplePatterns[2].Variables.Intersect(new String[] { "s", "o" }).Count() == 2, "Second Triple Pattern should contain ?s and ?o");
}
finally
{
SparqlOptimiser.ResetOptimisers();
}
}
public void SparqlOptimiserQueryWeightedSimple4()
{
try
{
const string query = @"PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT * WHERE
{
?s a rdfs:Class .
?s rdfs:label 'example' .
}";
Graph weightings = new Graph();
#if PORTABLE
weightings.LoadFromEmbeddedResource("VDS.RDF.Query.SampleWeightings.n3, dotNetRDF.Portable.Test");
#else
weightings.LoadFromEmbeddedResource("VDS.RDF.Query.SampleWeightings.n3, dotNetRDF.Test");
#endif
SparqlOptimiser.QueryOptimiser = new WeightedOptimiser(weightings);
SparqlQuery q = this._parser.ParseFromString(query);
Console.WriteLine(this._formatter.Format(q));
Assert.IsTrue(((NodeMatchPattern)((IMatchTriplePattern)q.RootGraphPattern.TriplePatterns[0]).Object).Node.NodeType == NodeType.Literal, "First Triple Pattern should have object 'example'");
Assert.IsTrue(((NodeMatchPattern)((IMatchTriplePattern)q.RootGraphPattern.TriplePatterns[1]).Object).Node.NodeType == NodeType.Uri, "Second Triple Pattern should have object rdfs:Class");
}
finally
{
SparqlOptimiser.ResetOptimisers();
}
}
public void SparqlOptimiserQueryWeightedSimple()
{
try
{
String query = @"PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT * WHERE
{
?s ?p ?o .
?s rdfs:label ?label .
}";
Graph weightings = new Graph();
weightings.LoadFromEmbeddedResource("VDS.RDF.Query.SampleWeightings.n3, dotNetRDF.Test");
SparqlOptimiser.QueryOptimiser = new WeightedOptimiser(weightings);
SparqlQuery q = this._parser.ParseFromString(query);
Console.WriteLine(this._formatter.Format(q));
Assert.IsFalse(q.RootGraphPattern.TriplePatterns[0].IsAcceptAll, "First Triple Pattern should not be the ?s ?p ?o Pattern");
Assert.IsTrue(q.RootGraphPattern.TriplePatterns[1].IsAcceptAll, "Second Triple Pattern should be the ?s ?p ?o pattern");
}
finally
{
SparqlOptimiser.ResetOptimisers();
}
}
public void SparqlOptimiserQueryWeightedUnknowns()
{
try
{
String query = @"PREFIX rdfs: <http://www.w3.org/2000/01/rdf-schema#>
SELECT * WHERE
{
?s rdfs:comment 'Predicates are weighted less than subjects' .
rdfs:comment rdfs:comment 'Subjects are weighted higher than predicates' .
}";
Graph weightings = new Graph();
weightings.LoadFromEmbeddedResource("VDS.RDF.Query.SampleWeightings.n3, dotNetRDF.Test");
SparqlOptimiser.QueryOptimiser = new WeightedOptimiser(weightings);
SparqlQuery q = this._parser.ParseFromString(query);
Console.WriteLine(this._formatter.Format(q));
Assert.IsFalse(q.RootGraphPattern.TriplePatterns[0].Variables.Contains("s"), "First Triple Pattern should not contain ?s");
Assert.IsTrue(q.RootGraphPattern.TriplePatterns[1].Variables.Contains("s"), "Second Triple Pattern should contain ?s");
}
finally
{
SparqlOptimiser.ResetOptimisers();
}
}
private void EnableFullTextIndex()
{
if (this._dataset is FullTextIndexedDataset)
{
//Nothing to do
}
else if (this._dataset is WebDemandDataset)
{
WebDemandDataset ds = (WebDemandDataset)this._dataset;
this._dataset = ds.UnderlyingDataset;
this.EnableFullTextIndex();
this._dataset = new WebDemandDataset(this._dataset);
}
else
{
//Create and ensure index ready for use
this._ftIndex = new RAMDirectory();
var writer = new IndexWriter(this._ftIndex, new StandardAnalyzer(Lucene.Net.Util.Version.LUCENE_30), IndexWriter.MaxFieldLength.UNLIMITED);
writer.Dispose();
//Create Indexer and wrap dataset
this._ftIndexer = new LuceneObjectsIndexer(this._ftIndex, new StandardAnalyzer(Lucene.Net.Util.Version.LUCENE_30), new DefaultIndexSchema());
if (this._dataset is WebDemandDataset)
{
//Web Demand needs to go around Full Text as we want to index on demand loaded content
this._dataset = new WebDemandDataset(new FullTextIndexedDataset(((WebDemandDataset)this._dataset).UnderlyingDataset, this._ftIndexer, true));
}
else
{
this._dataset = new FullTextIndexedDataset(this._dataset, this._ftIndexer, true);
}
//Create and Register Optimizer
this._ftSearcher = new LuceneSearchProvider(Lucene.Net.Util.Version.LUCENE_29, this._ftIndex);
this._ftOptimiser = new FullTextOptimiser(this._ftSearcher);
SparqlOptimiser.AddOptimiser(this._ftOptimiser);
}
this._processor = new LeviathanQueryProcessor(this._dataset);
}
static BrightstarQueryProcessor()
{
SparqlOptimiser.AddOptimiser(new VariableEqualsOptimizer());
}
/// <summary>
/// Perform any initialization tasks
/// </summary>
public void Initialize(IPipelines pipelines)
{
SparqlOptimiser.RemoveOptimiser(SparqlOptimiser.AlgebraOptimisers.FirstOrDefault(o => o.GetType() == typeof(LazyBgpOptimiser)));
}
