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Example 46 with ValueFactory

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

the class MongoFreeTextIndexerIT method testContextSearch.

@Test
public void testContextSearch() throws Exception {
    try (MongoFreeTextIndexer f = new MongoFreeTextIndexer()) {
        f.setConf(conf);
        f.init();
        final ValueFactory vf = new ValueFactoryImpl();
        final URI subject = new URIImpl("foo:subj");
        final URI predicate = new URIImpl(RDFS.COMMENT.toString());
        final Value object = vf.createLiteral("this is a new hat");
        final URI context = new URIImpl("foo:context");
        final Statement statement = vf.createStatement(subject, predicate, object, context);
        f.storeStatement(RdfToRyaConversions.convertStatement(statement));
        f.flush();
        assertEquals(Sets.newHashSet(statement), getSet(f.queryText("hat", EMPTY_CONSTRAINTS)));
        assertEquals(Sets.newHashSet(statement), getSet(f.queryText("hat", new StatementConstraints().setContext(context))));
        assertEquals(Sets.newHashSet(), getSet(f.queryText("hat", new StatementConstraints().setContext(vf.createURI("foo:context2")))));
    }
}
Also used : StatementConstraints(org.apache.rya.indexing.StatementConstraints) Statement(org.openrdf.model.Statement) RyaStatement(org.apache.rya.api.domain.RyaStatement) ValueFactoryImpl(org.openrdf.model.impl.ValueFactoryImpl) Value(org.openrdf.model.Value) URIImpl(org.openrdf.model.impl.URIImpl) ValueFactory(org.openrdf.model.ValueFactory) RyaURI(org.apache.rya.api.domain.RyaURI) URI(org.openrdf.model.URI) MongoFreeTextIndexer(org.apache.rya.indexing.mongodb.freetext.MongoFreeTextIndexer) Test(org.junit.Test)

Example 47 with ValueFactory

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

the class RyaDirectExample method testAddAndFreeTextSearchWithPCJ.

private static void testAddAndFreeTextSearchWithPCJ(final SailRepositoryConnection conn) throws Exception {
    // add data to the repository using the SailRepository add methods
    final ValueFactory f = conn.getValueFactory();
    final URI person = f.createURI("http://example.org/ontology/Person");
    String uuid;
    uuid = "urn:people:alice";
    conn.add(f.createURI(uuid), RDF.TYPE, person);
    conn.add(f.createURI(uuid), RDFS.LABEL, f.createLiteral("Alice Palace Hose", f.createURI("xsd:string")));
    uuid = "urn:people:bobss";
    conn.add(f.createURI(uuid), RDF.TYPE, person);
    conn.add(f.createURI(uuid), RDFS.LABEL, f.createLiteral("Bob Snob Hose", "en"));
    String queryString;
    TupleQuery tupleQuery;
    CountingResultHandler tupleHandler;
    // ///////////// search for alice
    queryString = // 
    "PREFIX fts: <http://rdf.useekm.com/fts#>  " + // 
    "SELECT ?person ?match ?e ?c ?l ?o " + // 
    "{" + // 
    "  ?person <http://www.w3.org/2000/01/rdf-schema#label> ?match . " + // 
    "  FILTER(fts:text(?match, \"pal*\")) " + // 
    "}";
    tupleQuery = conn.prepareTupleQuery(QueryLanguage.SPARQL, queryString);
    tupleHandler = new CountingResultHandler();
    tupleQuery.evaluate(tupleHandler);
    log.info("Result count : " + tupleHandler.getCount());
    Validate.isTrue(tupleHandler.getCount() == 1);
    // ///////////// search for alice and bob
    queryString = // 
    "PREFIX fts: <http://rdf.useekm.com/fts#>  " + // 
    "SELECT ?person ?match " + // 
    "{" + // 
    "  ?person <http://www.w3.org/2000/01/rdf-schema#label> ?match . " + // 
    "  ?person a <http://example.org/ontology/Person> . " + // 
    "  FILTER(fts:text(?match, \"(alice | bob) *SE\")) " + // 
    "}";
    tupleQuery = conn.prepareTupleQuery(QueryLanguage.SPARQL, queryString);
    tupleHandler = new CountingResultHandler();
    tupleQuery.evaluate(tupleHandler);
    log.info("Result count : " + tupleHandler.getCount());
    Validate.isTrue(tupleHandler.getCount() == 2);
    // ///////////// search for alice and bob
    queryString = // 
    "PREFIX fts: <http://rdf.useekm.com/fts#>  " + // 
    "SELECT ?person ?match " + // 
    "{" + // 
    "  ?person a <http://example.org/ontology/Person> . " + // 
    "  ?person <http://www.w3.org/2000/01/rdf-schema#label> ?match . " + // 
    "  FILTER(fts:text(?match, \"(alice | bob) *SE\")) " + // 
    "  FILTER(fts:text(?match, \"pal*\")) " + // 
    "}";
    tupleQuery = conn.prepareTupleQuery(QueryLanguage.SPARQL, queryString);
    tupleHandler = new CountingResultHandler();
    tupleQuery.evaluate(tupleHandler);
    log.info("Result count : " + tupleHandler.getCount());
    Validate.isTrue(tupleHandler.getCount() == 1);
    // ///////////// search for bob
    queryString = // 
    "PREFIX fts: <http://rdf.useekm.com/fts#>  " + // 
    "SELECT ?person ?match ?e ?c ?l ?o " + // 
    "{" + // 
    "  ?e a ?c . " + // 
    "  ?e <http://www.w3.org/2000/01/rdf-schema#label> ?l . " + // 
    "  ?e <uri:talksTo> ?o . " + // 
    "  ?person a <http://example.org/ontology/Person> . " + // 
    "  ?person <http://www.w3.org/2000/01/rdf-schema#label> ?match . " + // 
    "  FILTER(fts:text(?match, \"!alice & hose\")) " + // 
    "}";
    tupleQuery = conn.prepareTupleQuery(QueryLanguage.SPARQL, queryString);
    tupleHandler = new CountingResultHandler();
    tupleQuery.evaluate(tupleHandler);
    log.info("Result count : " + tupleHandler.getCount());
    Validate.isTrue(tupleHandler.getCount() == 1);
}
Also used : TupleQuery(org.openrdf.query.TupleQuery) ValueFactory(org.openrdf.model.ValueFactory) URI(org.openrdf.model.URI)

Example 48 with ValueFactory

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

the class PeriodicNotificationApplicationIT method periodicApplicationWithAggTest.

@Test
public void periodicApplicationWithAggTest() throws Exception {
    final String sparql = // n
    "prefix function: <http://org.apache.rya/function#> " + // n
    "prefix time: <http://www.w3.org/2006/time#> " + // n
    "select (count(?obs) as ?total) where {" + // n
    "Filter(function:periodic(?time, 1, .25, time:minutes)) " + // n
    "?obs <uri:hasTime> ?time. " + // n
    "?obs <uri:hasId> ?id } ";
    // make data
    final int periodMult = 15;
    final ValueFactory vf = new ValueFactoryImpl();
    final DatatypeFactory dtf = DatatypeFactory.newInstance();
    // results more predictable
    while (System.currentTimeMillis() % (periodMult * 1000) > 500) {
        ;
    }
    final ZonedDateTime time = ZonedDateTime.now();
    final ZonedDateTime zTime1 = time.minusSeconds(2 * periodMult);
    final String time1 = zTime1.format(DateTimeFormatter.ISO_INSTANT);
    final ZonedDateTime zTime2 = zTime1.minusSeconds(periodMult);
    final String time2 = zTime2.format(DateTimeFormatter.ISO_INSTANT);
    final ZonedDateTime zTime3 = zTime2.minusSeconds(periodMult);
    final String time3 = zTime3.format(DateTimeFormatter.ISO_INSTANT);
    final Collection<Statement> statements = Sets.newHashSet(vf.createStatement(vf.createURI("urn:obs_1"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time1))), vf.createStatement(vf.createURI("urn:obs_1"), vf.createURI("uri:hasId"), vf.createLiteral("id_1")), vf.createStatement(vf.createURI("urn:obs_2"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time2))), vf.createStatement(vf.createURI("urn:obs_2"), vf.createURI("uri:hasId"), vf.createLiteral("id_2")), vf.createStatement(vf.createURI("urn:obs_3"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time3))), vf.createStatement(vf.createURI("urn:obs_3"), vf.createURI("uri:hasId"), vf.createLiteral("id_3")));
    try (FluoClient fluo = FluoClientFactory.getFluoClient(conf.getFluoAppName(), Optional.of(conf.getFluoTableName()), conf)) {
        final Connector connector = ConfigUtils.getConnector(conf);
        final PeriodicQueryResultStorage storage = new AccumuloPeriodicQueryResultStorage(connector, conf.getTablePrefix());
        final CreatePeriodicQuery periodicQuery = new CreatePeriodicQuery(fluo, storage);
        final String id = FluoQueryUtils.convertFluoQueryIdToPcjId(periodicQuery.createPeriodicQuery(sparql, registrar).getQueryId());
        addData(statements);
        app.start();
        final Multimap<Long, BindingSet> expected = HashMultimap.create();
        try (KafkaConsumer<String, BindingSet> consumer = new KafkaConsumer<>(kafkaProps, new StringDeserializer(), new BindingSetSerDe())) {
            consumer.subscribe(Arrays.asList(id));
            final long end = System.currentTimeMillis() + 4 * periodMult * 1000;
            long lastBinId = 0L;
            long binId = 0L;
            final List<Long> ids = new ArrayList<>();
            while (System.currentTimeMillis() < end) {
                final ConsumerRecords<String, BindingSet> records = consumer.poll(periodMult * 1000);
                for (final ConsumerRecord<String, BindingSet> record : records) {
                    final BindingSet result = record.value();
                    binId = Long.parseLong(result.getBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID).getValue().stringValue());
                    if (lastBinId != binId) {
                        lastBinId = binId;
                        ids.add(binId);
                    }
                    expected.put(binId, result);
                }
            }
            Assert.assertEquals(3, expected.asMap().size());
            int i = 0;
            for (final Long ident : ids) {
                Assert.assertEquals(1, expected.get(ident).size());
                final BindingSet bs = expected.get(ident).iterator().next();
                final Value val = bs.getValue("total");
                final int total = Integer.parseInt(val.stringValue());
                Assert.assertEquals(3 - i, total);
                i++;
            }
        }
        final Set<BindingSet> expectedResults = new HashSet<>();
        try (CloseableIterator<BindingSet> results = storage.listResults(id, Optional.empty())) {
            results.forEachRemaining(x -> expectedResults.add(x));
            Assert.assertEquals(0, expectedResults.size());
        }
    }
}
Also used : Connector(org.apache.accumulo.core.client.Connector) FluoClient(org.apache.fluo.api.client.FluoClient) AccumuloPeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.accumulo.AccumuloPeriodicQueryResultStorage) ValueFactoryImpl(org.openrdf.model.impl.ValueFactoryImpl) ArrayList(java.util.ArrayList) ZonedDateTime(java.time.ZonedDateTime) CreatePeriodicQuery(org.apache.rya.indexing.pcj.fluo.api.CreatePeriodicQuery) PeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.PeriodicQueryResultStorage) AccumuloPeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.accumulo.AccumuloPeriodicQueryResultStorage) HashSet(java.util.HashSet) QueryBindingSet(org.openrdf.query.algebra.evaluation.QueryBindingSet) BindingSet(org.openrdf.query.BindingSet) DatatypeFactory(javax.xml.datatype.DatatypeFactory) Statement(org.openrdf.model.Statement) StringDeserializer(org.apache.kafka.common.serialization.StringDeserializer) KafkaConsumer(org.apache.kafka.clients.consumer.KafkaConsumer) ValueFactory(org.openrdf.model.ValueFactory) BindingSetSerDe(org.apache.rya.periodic.notification.serialization.BindingSetSerDe) Value(org.openrdf.model.Value) Test(org.junit.Test)

Example 49 with ValueFactory

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

the class PeriodicNotificationApplicationIT method periodicApplicationTest.

@Test
public void periodicApplicationTest() throws Exception {
    final String sparql = // n
    "prefix function: <http://org.apache.rya/function#> " + // n
    "prefix time: <http://www.w3.org/2006/time#> " + // n
    "select ?obs ?id where {" + // n
    "Filter(function:periodic(?time, 1, .25, time:minutes)) " + // n
    "?obs <uri:hasTime> ?time. " + // n
    "?obs <uri:hasId> ?id } ";
    // make data
    final int periodMult = 15;
    final ValueFactory vf = new ValueFactoryImpl();
    final DatatypeFactory dtf = DatatypeFactory.newInstance();
    // results more predictable
    while (System.currentTimeMillis() % (periodMult * 1000) > 500) {
        ;
    }
    final ZonedDateTime time = ZonedDateTime.now();
    final ZonedDateTime zTime1 = time.minusSeconds(2 * periodMult);
    final String time1 = zTime1.format(DateTimeFormatter.ISO_INSTANT);
    final ZonedDateTime zTime2 = zTime1.minusSeconds(periodMult);
    final String time2 = zTime2.format(DateTimeFormatter.ISO_INSTANT);
    final ZonedDateTime zTime3 = zTime2.minusSeconds(periodMult);
    final String time3 = zTime3.format(DateTimeFormatter.ISO_INSTANT);
    final Collection<Statement> statements = Sets.newHashSet(vf.createStatement(vf.createURI("urn:obs_1"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time1))), vf.createStatement(vf.createURI("urn:obs_1"), vf.createURI("uri:hasId"), vf.createLiteral("id_1")), vf.createStatement(vf.createURI("urn:obs_2"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time2))), vf.createStatement(vf.createURI("urn:obs_2"), vf.createURI("uri:hasId"), vf.createLiteral("id_2")), vf.createStatement(vf.createURI("urn:obs_3"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time3))), vf.createStatement(vf.createURI("urn:obs_3"), vf.createURI("uri:hasId"), vf.createLiteral("id_3")));
    try (FluoClient fluo = FluoClientFactory.getFluoClient(conf.getFluoAppName(), Optional.of(conf.getFluoTableName()), conf)) {
        final Connector connector = ConfigUtils.getConnector(conf);
        final PeriodicQueryResultStorage storage = new AccumuloPeriodicQueryResultStorage(connector, conf.getTablePrefix());
        final CreatePeriodicQuery periodicQuery = new CreatePeriodicQuery(fluo, storage);
        final String id = FluoQueryUtils.convertFluoQueryIdToPcjId(periodicQuery.createPeriodicQuery(sparql, registrar).getQueryId());
        addData(statements);
        app.start();
        final Multimap<Long, BindingSet> expected = HashMultimap.create();
        try (KafkaConsumer<String, BindingSet> consumer = new KafkaConsumer<>(kafkaProps, new StringDeserializer(), new BindingSetSerDe())) {
            consumer.subscribe(Arrays.asList(id));
            final long end = System.currentTimeMillis() + 4 * periodMult * 1000;
            long lastBinId = 0L;
            long binId = 0L;
            final List<Long> ids = new ArrayList<>();
            while (System.currentTimeMillis() < end) {
                final ConsumerRecords<String, BindingSet> records = consumer.poll(periodMult * 1000);
                for (final ConsumerRecord<String, BindingSet> record : records) {
                    final BindingSet result = record.value();
                    binId = Long.parseLong(result.getBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID).getValue().stringValue());
                    if (lastBinId != binId) {
                        lastBinId = binId;
                        ids.add(binId);
                    }
                    expected.put(binId, result);
                }
            }
            Assert.assertEquals(3, expected.asMap().size());
            int i = 0;
            for (final Long ident : ids) {
                Assert.assertEquals(3 - i, expected.get(ident).size());
                i++;
            }
        }
        final Set<BindingSet> expectedResults = new HashSet<>();
        try (CloseableIterator<BindingSet> results = storage.listResults(id, Optional.empty())) {
            results.forEachRemaining(x -> expectedResults.add(x));
            Assert.assertEquals(0, expectedResults.size());
        }
    }
}
Also used : Connector(org.apache.accumulo.core.client.Connector) FluoClient(org.apache.fluo.api.client.FluoClient) AccumuloPeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.accumulo.AccumuloPeriodicQueryResultStorage) ValueFactoryImpl(org.openrdf.model.impl.ValueFactoryImpl) ArrayList(java.util.ArrayList) ZonedDateTime(java.time.ZonedDateTime) CreatePeriodicQuery(org.apache.rya.indexing.pcj.fluo.api.CreatePeriodicQuery) PeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.PeriodicQueryResultStorage) AccumuloPeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.accumulo.AccumuloPeriodicQueryResultStorage) HashSet(java.util.HashSet) QueryBindingSet(org.openrdf.query.algebra.evaluation.QueryBindingSet) BindingSet(org.openrdf.query.BindingSet) DatatypeFactory(javax.xml.datatype.DatatypeFactory) Statement(org.openrdf.model.Statement) StringDeserializer(org.apache.kafka.common.serialization.StringDeserializer) KafkaConsumer(org.apache.kafka.clients.consumer.KafkaConsumer) ValueFactory(org.openrdf.model.ValueFactory) BindingSetSerDe(org.apache.rya.periodic.notification.serialization.BindingSetSerDe) Test(org.junit.Test)

Example 50 with ValueFactory

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

the class PeriodicNotificationApplicationIT method periodicApplicationWithAggAndGroupByTest.

@Test
public void periodicApplicationWithAggAndGroupByTest() throws Exception {
    final String sparql = // n
    "prefix function: <http://org.apache.rya/function#> " + // n
    "prefix time: <http://www.w3.org/2006/time#> " + // n
    "select ?type (count(?obs) as ?total) where {" + // n
    "Filter(function:periodic(?time, 1, .25, time:minutes)) " + // n
    "?obs <uri:hasTime> ?time. " + // n
    "?obs <uri:hasObsType> ?type } group by ?type";
    // make data
    final int periodMult = 15;
    final ValueFactory vf = new ValueFactoryImpl();
    final DatatypeFactory dtf = DatatypeFactory.newInstance();
    // results more predictable
    while (System.currentTimeMillis() % (periodMult * 1000) > 500) {
        ;
    }
    final ZonedDateTime time = ZonedDateTime.now();
    final ZonedDateTime zTime1 = time.minusSeconds(2 * periodMult);
    final String time1 = zTime1.format(DateTimeFormatter.ISO_INSTANT);
    final ZonedDateTime zTime2 = zTime1.minusSeconds(periodMult);
    final String time2 = zTime2.format(DateTimeFormatter.ISO_INSTANT);
    final ZonedDateTime zTime3 = zTime2.minusSeconds(periodMult);
    final String time3 = zTime3.format(DateTimeFormatter.ISO_INSTANT);
    final Collection<Statement> statements = Sets.newHashSet(vf.createStatement(vf.createURI("urn:obs_1"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time1))), vf.createStatement(vf.createURI("urn:obs_1"), vf.createURI("uri:hasObsType"), vf.createLiteral("ship")), vf.createStatement(vf.createURI("urn:obs_2"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time1))), vf.createStatement(vf.createURI("urn:obs_2"), vf.createURI("uri:hasObsType"), vf.createLiteral("airplane")), vf.createStatement(vf.createURI("urn:obs_3"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time2))), vf.createStatement(vf.createURI("urn:obs_3"), vf.createURI("uri:hasObsType"), vf.createLiteral("ship")), vf.createStatement(vf.createURI("urn:obs_4"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time2))), vf.createStatement(vf.createURI("urn:obs_4"), vf.createURI("uri:hasObsType"), vf.createLiteral("airplane")), vf.createStatement(vf.createURI("urn:obs_5"), vf.createURI("uri:hasTime"), vf.createLiteral(dtf.newXMLGregorianCalendar(time3))), vf.createStatement(vf.createURI("urn:obs_5"), vf.createURI("uri:hasObsType"), vf.createLiteral("automobile")));
    try (FluoClient fluo = FluoClientFactory.getFluoClient(conf.getFluoAppName(), Optional.of(conf.getFluoTableName()), conf)) {
        final Connector connector = ConfigUtils.getConnector(conf);
        final PeriodicQueryResultStorage storage = new AccumuloPeriodicQueryResultStorage(connector, conf.getTablePrefix());
        final CreatePeriodicQuery periodicQuery = new CreatePeriodicQuery(fluo, storage);
        final String id = FluoQueryUtils.convertFluoQueryIdToPcjId(periodicQuery.createPeriodicQuery(sparql, registrar).getQueryId());
        addData(statements);
        app.start();
        final Multimap<Long, BindingSet> actual = HashMultimap.create();
        try (KafkaConsumer<String, BindingSet> consumer = new KafkaConsumer<>(kafkaProps, new StringDeserializer(), new BindingSetSerDe())) {
            consumer.subscribe(Arrays.asList(id));
            final long end = System.currentTimeMillis() + 4 * periodMult * 1000;
            long lastBinId = 0L;
            long binId = 0L;
            final List<Long> ids = new ArrayList<>();
            while (System.currentTimeMillis() < end) {
                final ConsumerRecords<String, BindingSet> records = consumer.poll(periodMult * 1000);
                for (final ConsumerRecord<String, BindingSet> record : records) {
                    final BindingSet result = record.value();
                    binId = Long.parseLong(result.getBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID).getValue().stringValue());
                    if (lastBinId != binId) {
                        lastBinId = binId;
                        ids.add(binId);
                    }
                    actual.put(binId, result);
                }
            }
            final Map<Long, Set<BindingSet>> expected = new HashMap<>();
            final Set<BindingSet> expected1 = new HashSet<>();
            final QueryBindingSet bs1 = new QueryBindingSet();
            bs1.addBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID, vf.createLiteral(ids.get(0)));
            bs1.addBinding("total", new LiteralImpl("2", XMLSchema.INTEGER));
            bs1.addBinding("type", vf.createLiteral("airplane"));
            final QueryBindingSet bs2 = new QueryBindingSet();
            bs2.addBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID, vf.createLiteral(ids.get(0)));
            bs2.addBinding("total", new LiteralImpl("2", XMLSchema.INTEGER));
            bs2.addBinding("type", vf.createLiteral("ship"));
            final QueryBindingSet bs3 = new QueryBindingSet();
            bs3.addBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID, vf.createLiteral(ids.get(0)));
            bs3.addBinding("total", new LiteralImpl("1", XMLSchema.INTEGER));
            bs3.addBinding("type", vf.createLiteral("automobile"));
            expected1.add(bs1);
            expected1.add(bs2);
            expected1.add(bs3);
            final Set<BindingSet> expected2 = new HashSet<>();
            final QueryBindingSet bs4 = new QueryBindingSet();
            bs4.addBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID, vf.createLiteral(ids.get(1)));
            bs4.addBinding("total", new LiteralImpl("2", XMLSchema.INTEGER));
            bs4.addBinding("type", vf.createLiteral("airplane"));
            final QueryBindingSet bs5 = new QueryBindingSet();
            bs5.addBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID, vf.createLiteral(ids.get(1)));
            bs5.addBinding("total", new LiteralImpl("2", XMLSchema.INTEGER));
            bs5.addBinding("type", vf.createLiteral("ship"));
            expected2.add(bs4);
            expected2.add(bs5);
            final Set<BindingSet> expected3 = new HashSet<>();
            final QueryBindingSet bs6 = new QueryBindingSet();
            bs6.addBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID, vf.createLiteral(ids.get(2)));
            bs6.addBinding("total", new LiteralImpl("1", XMLSchema.INTEGER));
            bs6.addBinding("type", vf.createLiteral("ship"));
            final QueryBindingSet bs7 = new QueryBindingSet();
            bs7.addBinding(IncrementalUpdateConstants.PERIODIC_BIN_ID, vf.createLiteral(ids.get(2)));
            bs7.addBinding("total", new LiteralImpl("1", XMLSchema.INTEGER));
            bs7.addBinding("type", vf.createLiteral("airplane"));
            expected3.add(bs6);
            expected3.add(bs7);
            expected.put(ids.get(0), expected1);
            expected.put(ids.get(1), expected2);
            expected.put(ids.get(2), expected3);
            Assert.assertEquals(3, actual.asMap().size());
            for (final Long ident : ids) {
                Assert.assertEquals(expected.get(ident), actual.get(ident));
            }
        }
        final Set<BindingSet> expectedResults = new HashSet<>();
        try (CloseableIterator<BindingSet> results = storage.listResults(id, Optional.empty())) {
            results.forEachRemaining(x -> expectedResults.add(x));
            Assert.assertEquals(0, expectedResults.size());
        }
    }
}
Also used : Connector(org.apache.accumulo.core.client.Connector) FluoClient(org.apache.fluo.api.client.FluoClient) QueryBindingSet(org.openrdf.query.algebra.evaluation.QueryBindingSet) Set(java.util.Set) HashSet(java.util.HashSet) BindingSet(org.openrdf.query.BindingSet) HashMap(java.util.HashMap) AccumuloPeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.accumulo.AccumuloPeriodicQueryResultStorage) ValueFactoryImpl(org.openrdf.model.impl.ValueFactoryImpl) ArrayList(java.util.ArrayList) ZonedDateTime(java.time.ZonedDateTime) CreatePeriodicQuery(org.apache.rya.indexing.pcj.fluo.api.CreatePeriodicQuery) PeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.PeriodicQueryResultStorage) AccumuloPeriodicQueryResultStorage(org.apache.rya.indexing.pcj.storage.accumulo.AccumuloPeriodicQueryResultStorage) HashSet(java.util.HashSet) QueryBindingSet(org.openrdf.query.algebra.evaluation.QueryBindingSet) BindingSet(org.openrdf.query.BindingSet) DatatypeFactory(javax.xml.datatype.DatatypeFactory) Statement(org.openrdf.model.Statement) StringDeserializer(org.apache.kafka.common.serialization.StringDeserializer) KafkaConsumer(org.apache.kafka.clients.consumer.KafkaConsumer) ValueFactory(org.openrdf.model.ValueFactory) BindingSetSerDe(org.apache.rya.periodic.notification.serialization.BindingSetSerDe) QueryBindingSet(org.openrdf.query.algebra.evaluation.QueryBindingSet) LiteralImpl(org.openrdf.model.impl.LiteralImpl) Test(org.junit.Test)

Aggregations

ValueFactory (org.openrdf.model.ValueFactory)230 Test (org.junit.Test)195 ValueFactoryImpl (org.openrdf.model.impl.ValueFactoryImpl)187 Statement (org.openrdf.model.Statement)114 MapBindingSet (org.openrdf.query.impl.MapBindingSet)99 URI (org.openrdf.model.URI)83 HashSet (java.util.HashSet)72 VisibilityBindingSet (org.apache.rya.api.model.VisibilityBindingSet)66 Value (org.openrdf.model.Value)57 BindingSet (org.openrdf.query.BindingSet)51 Resource (org.openrdf.model.Resource)39 ArrayList (java.util.ArrayList)35 VisibilityStatement (org.apache.rya.api.model.VisibilityStatement)35 RdfToRyaConversions.convertStatement (org.apache.rya.api.resolver.RdfToRyaConversions.convertStatement)34 ContextStatementImpl (org.openrdf.model.impl.ContextStatementImpl)33 UUID (java.util.UUID)29 StatementImpl (org.openrdf.model.impl.StatementImpl)27 TopologyFactory (org.apache.rya.streams.kafka.topology.TopologyFactory)25 LinearRing (com.vividsolutions.jts.geom.LinearRing)24 Polygon (com.vividsolutions.jts.geom.Polygon)24