Examples with ValueFactory org.openrdf.model.ValueFactory used on opensource projects

Example 91 with ValueFactory

use of org.openrdf.model.ValueFactory in project incubator-rya by apache.

the class MongoExecuteSparqlQueryIT method makeTestStatements.

/**
 * @return some data to load
 */
private List<Statement> makeTestStatements() {
    final List<Statement> loadMe = new ArrayList<>();
    final ValueFactory vf = new ValueFactoryImpl();
    loadMe.add(vf.createStatement(vf.createURI("http://example#alice"), vf.createURI("http://example#talksTo"), vf.createURI("http://example#bob")));
    loadMe.add(vf.createStatement(vf.createURI("http://example#bob"), vf.createURI("http://example#talksTo"), vf.createURI("http://example#charlie")));
    loadMe.add(vf.createStatement(vf.createURI("http://example#charlie"), vf.createURI("http://example#likes"), vf.createURI("http://example#icecream")));
    return loadMe;
}

Example 92 with ValueFactory

use of org.openrdf.model.ValueFactory in project incubator-rya by apache.

the class KafkaExportIT method count.

@Test
public void count() throws Exception {
    // A query that counts the number of unique items that are in the inventory.
    final String sparql = "SELECT (count(?item) as ?itemCount) { " + "?item <urn:id> ?id . " + "}";
    // Create the Statements that will be loaded into Rya.
    final ValueFactory vf = new ValueFactoryImpl();
    final Collection<Statement> statements = Sets.newHashSet(// Three that are part of the count.
    vf.createStatement(vf.createURI("urn:apple"), vf.createURI("urn:id"), vf.createLiteral(UUID.randomUUID().toString())), vf.createStatement(vf.createURI("urn:gum"), vf.createURI("urn:id"), vf.createLiteral(UUID.randomUUID().toString())), vf.createStatement(vf.createURI("urn:sandwich"), vf.createURI("urn:id"), vf.createLiteral(UUID.randomUUID().toString())), // One that is not.
    vf.createStatement(vf.createURI("urn:sandwich"), vf.createURI("urn:price"), vf.createLiteral(3.99)));
    // Create the PCJ in Fluo and load the statements into Rya.
    final String pcjId = loadDataAndCreateQuery(sparql, statements);
    // Create the expected results of the SPARQL query once the PCJ has been computed.
    final MapBindingSet expectedResult = new MapBindingSet();
    expectedResult.addBinding("itemCount", vf.createLiteral("3", XMLSchema.INTEGER));
    // Ensure the last result matches the expected result.
    final VisibilityBindingSet result = readLastResult(pcjId);
    assertEquals(expectedResult, result);
}

Example 93 with ValueFactory

use of org.openrdf.model.ValueFactory in project incubator-rya by apache.

the class KafkaExportIT method multipleAggregations.

@Test
public void multipleAggregations() throws Exception {
    // A query that both counts the number of items being averaged and finds the average price.
    final String sparql = "SELECT (count(?item) as ?itemCount) (avg(?price) as ?averagePrice) {" + "?item <urn:price> ?price . " + "}";
    // Create the Statements that will be loaded into Rya.
    final ValueFactory vf = new ValueFactoryImpl();
    final Collection<Statement> statements = Sets.newHashSet(vf.createStatement(vf.createURI("urn:apple"), vf.createURI("urn:price"), vf.createLiteral(5.25)), vf.createStatement(vf.createURI("urn:gum"), vf.createURI("urn:price"), vf.createLiteral(7)), vf.createStatement(vf.createURI("urn:sandwich"), vf.createURI("urn:price"), vf.createLiteral(2.75)));
    // Create the PCJ in Fluo and load the statements into Rya.
    final String pcjId = loadDataAndCreateQuery(sparql, statements);
    // Create the expected results of the SPARQL query once the PCJ has been computed.
    final MapBindingSet expectedResult = new MapBindingSet();
    expectedResult.addBinding("itemCount", vf.createLiteral("3", XMLSchema.INTEGER));
    expectedResult.addBinding("averagePrice", vf.createLiteral("5.0", XMLSchema.DECIMAL));
    // Ensure the last result matches the expected result.
    final VisibilityBindingSet result = readLastResult(pcjId);
    assertEquals(expectedResult, result);
}

Example 94 with ValueFactory

use of org.openrdf.model.ValueFactory in project incubator-rya by apache.

the class KafkaExportIT method groupByManyBindings_averages.

@Test
public void groupByManyBindings_averages() throws Exception {
    // A query that groups what is aggregated by two of the keys.
    final String sparql = "SELECT ?type ?location (avg(?price) as ?averagePrice) {" + "?id <urn:type> ?type . " + "?id <urn:location> ?location ." + "?id <urn:price> ?price ." + "} " + "GROUP BY ?type ?location";
    // Create the Statements that will be loaded into Rya.
    final ValueFactory vf = new ValueFactoryImpl();
    final Collection<Statement> statements = Sets.newHashSet(// American items that will be averaged.
    vf.createStatement(vf.createURI("urn:1"), vf.createURI("urn:type"), vf.createLiteral("apple")), vf.createStatement(vf.createURI("urn:1"), vf.createURI("urn:location"), vf.createLiteral("USA")), vf.createStatement(vf.createURI("urn:1"), vf.createURI("urn:price"), vf.createLiteral(2.50)), vf.createStatement(vf.createURI("urn:2"), vf.createURI("urn:type"), vf.createLiteral("cheese")), vf.createStatement(vf.createURI("urn:2"), vf.createURI("urn:location"), vf.createLiteral("USA")), vf.createStatement(vf.createURI("urn:2"), vf.createURI("urn:price"), vf.createLiteral(.99)), vf.createStatement(vf.createURI("urn:3"), vf.createURI("urn:type"), vf.createLiteral("cheese")), vf.createStatement(vf.createURI("urn:3"), vf.createURI("urn:location"), vf.createLiteral("USA")), vf.createStatement(vf.createURI("urn:3"), vf.createURI("urn:price"), vf.createLiteral(5.25)), // French items that will be averaged.
    vf.createStatement(vf.createURI("urn:4"), vf.createURI("urn:type"), vf.createLiteral("cheese")), vf.createStatement(vf.createURI("urn:4"), vf.createURI("urn:location"), vf.createLiteral("France")), vf.createStatement(vf.createURI("urn:4"), vf.createURI("urn:price"), vf.createLiteral(8.5)), vf.createStatement(vf.createURI("urn:5"), vf.createURI("urn:type"), vf.createLiteral("cigarettes")), vf.createStatement(vf.createURI("urn:5"), vf.createURI("urn:location"), vf.createLiteral("France")), vf.createStatement(vf.createURI("urn:5"), vf.createURI("urn:price"), vf.createLiteral(3.99)), vf.createStatement(vf.createURI("urn:6"), vf.createURI("urn:type"), vf.createLiteral("cigarettes")), vf.createStatement(vf.createURI("urn:6"), vf.createURI("urn:location"), vf.createLiteral("France")), vf.createStatement(vf.createURI("urn:6"), vf.createURI("urn:price"), vf.createLiteral(4.99)));
    // Create the PCJ in Fluo and load the statements into Rya.
    final String pcjId = loadDataAndCreateQuery(sparql, statements);
    // Create the expected results of the SPARQL query once the PCJ has been computed.
    final Set<VisibilityBindingSet> expectedResults = new HashSet<>();
    MapBindingSet bs = new MapBindingSet();
    bs.addBinding("type", vf.createLiteral("apple", XMLSchema.STRING));
    bs.addBinding("location", vf.createLiteral("USA", XMLSchema.STRING));
    bs.addBinding("averagePrice", vf.createLiteral("2.5", XMLSchema.DECIMAL));
    expectedResults.add(new VisibilityBindingSet(bs));
    bs = new MapBindingSet();
    bs.addBinding("type", vf.createLiteral("cheese", XMLSchema.STRING));
    bs.addBinding("location", vf.createLiteral("USA", XMLSchema.STRING));
    bs.addBinding("averagePrice", vf.createLiteral("3.12", XMLSchema.DECIMAL));
    expectedResults.add(new VisibilityBindingSet(bs));
    bs = new MapBindingSet();
    bs.addBinding("type", vf.createLiteral("cheese", XMLSchema.STRING));
    bs.addBinding("location", vf.createLiteral("France", XMLSchema.STRING));
    bs.addBinding("averagePrice", vf.createLiteral("8.5", XMLSchema.DECIMAL));
    expectedResults.add(new VisibilityBindingSet(bs));
    bs = new MapBindingSet();
    bs.addBinding("type", vf.createLiteral("cigarettes", XMLSchema.STRING));
    bs.addBinding("location", vf.createLiteral("France", XMLSchema.STRING));
    bs.addBinding("averagePrice", vf.createLiteral("4.49", XMLSchema.DECIMAL));
    expectedResults.add(new VisibilityBindingSet(bs));
    // Verify the end results of the query match the expected results.
    final Set<VisibilityBindingSet> results = readGroupedResults(pcjId, new VariableOrder("type", "location"));
    assertEquals(expectedResults, results);
}

Example 95 with ValueFactory

use of org.openrdf.model.ValueFactory in project incubator-rya by apache.

the class KafkaExportIT method aggregateWithFilter.

@Test
public void aggregateWithFilter() throws Exception {
    // A query that filters results from a statement pattern before applying the aggregation function.
    final String sparql = "SELECT (min(?price) as ?minPrice) { " + "FILTER(?price > 1.00) " + "?item <urn:price> ?price . " + "}";
    // Create the Statements that will be loaded into Rya.
    final ValueFactory vf = new ValueFactoryImpl();
    final Collection<Statement> statements = Sets.newHashSet(vf.createStatement(vf.createURI("urn:apple"), vf.createURI("urn:price"), vf.createLiteral(2.50)), vf.createStatement(vf.createURI("urn:gum"), vf.createURI("urn:price"), vf.createLiteral(0.99)), vf.createStatement(vf.createURI("urn:sandwich"), vf.createURI("urn:price"), vf.createLiteral(4.99)));
    // Create the PCJ in Fluo and load the statements into Rya.
    final String pcjId = loadDataAndCreateQuery(sparql, statements);
    // Create the expected results of the SPARQL query once the PCJ has been computed.
    final MapBindingSet expectedResult = new MapBindingSet();
    expectedResult.addBinding("minPrice", vf.createLiteral(2.50));
    // Ensure the last result matches the expected result.
    final VisibilityBindingSet result = readLastResult(pcjId);
    assertEquals(expectedResult, result);
}