/**
Copyright (C) SYSTAP, LLC DBA Blazegraph 2011. All rights reserved.
Contact:
SYSTAP, LLC DBA Blazegraph
2501 Calvert ST NW #106
Washington, DC 20008
licenses@blazegraph.com
This program is free software; you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation; version 2 of the License.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program; if not, write to the Free Software
Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
*/
package com.bigdata.rdf.sail;
import java.util.Collection;
import java.util.LinkedList;
import java.util.Properties;
import org.apache.log4j.Logger;
import org.openrdf.model.vocabulary.RDF;
import org.openrdf.model.vocabulary.RDFS;
import org.openrdf.query.BindingSet;
import org.openrdf.query.QueryLanguage;
import org.openrdf.query.TupleQueryResult;
import org.openrdf.repository.Repository;
import org.openrdf.repository.RepositoryConnection;
import org.openrdf.repository.sail.SailRepository;
import org.openrdf.repository.sail.SailTupleQuery;
import org.openrdf.rio.RDFFormat;
import org.openrdf.sail.Sail;
import org.openrdf.sail.memory.MemoryStore;
import com.bigdata.journal.BufferMode;
import com.bigdata.rdf.axioms.NoAxioms;
import com.bigdata.rdf.sail.BigdataSail;
import com.bigdata.rdf.sail.BigdataSailRepository;
import com.bigdata.rdf.vocab.NoVocabulary;
/**
* Unit test template for use in submission of bugs.
* <p>
* This test case will delegate to an underlying backing store. You can
* specify this store via a JVM property as follows:
* <code>-DtestClass=com.bigdata.rdf.sail.TestBigdataSailWithQuads</code>
* <p>
* There are three possible configurations for the testClass:
* <ul>
* <li>com.bigdata.rdf.sail.TestBigdataSailWithQuads (quads mode)</li>
* <li>com.bigdata.rdf.sail.TestBigdataSailWithoutSids (triples mode)</li>
* <li>com.bigdata.rdf.sail.TestBigdataSailWithSids (SIDs mode)</li>
* </ul>
* <p>
* The default for triples and SIDs mode is for inference with truth maintenance
* to be on. If you would like to turn off inference, make sure to do so in
* {@link #getProperties()}.
*
* @author <a href="mailto:mrpersonick@users.sourceforge.net">Mike Personick</a>
* @version $Id$
*/
public class TestMillisecondPrecisionForInlineDateTimes extends QuadsTestCase {
private static final Logger log = Logger
.getLogger(TestMillisecondPrecisionForInlineDateTimes.class);
/**
* Please set your database properties here, except for your journal file,
* please DO NOT SPECIFY A JOURNAL FILE.
*/
@Override
public Properties getProperties() {
final Properties props = super.getProperties();
/*
* For example, here is a set of five properties that turns off
* inference, truth maintenance, and the free text index.
*/
props.setProperty(BigdataSail.Options.AXIOMS_CLASS, NoAxioms.class.getName());
props.setProperty(BigdataSail.Options.VOCABULARY_CLASS, NoVocabulary.class.getName());
props.setProperty(BigdataSail.Options.TRUTH_MAINTENANCE, "false");
props.setProperty(BigdataSail.Options.JUSTIFY, "false");
props.setProperty(BigdataSail.Options.TEXT_INDEX, "false");
props.setProperty(BigdataSail.Options.INLINE_DATE_TIMES, "true");
props.setProperty(BigdataSail.Options.INLINE_DATE_TIMES_TIMEZONE, "GMT");
// No disk file.
props.setProperty(com.bigdata.journal.Options.BUFFER_MODE,
BufferMode.Transient.toString());
return props;
}
public TestMillisecondPrecisionForInlineDateTimes() {
}
public TestMillisecondPrecisionForInlineDateTimes(String arg0) {
super(arg0);
}
public void testBug() throws Exception {
/*
* We use an in-memory Sesame store as our point of reference. This
* will supply the "correct" answer to the query (below).
*/
Sail sesameSail = null;
/*
* The bigdata store, backed by a temporary journal file.
*/
BigdataSail bigdataSail = null;
try {
sesameSail = new MemoryStore();
bigdataSail = getSail();
/*
* Data file containing the data demonstrating your bug.
*/
final String data = "TestMillisecondPrecisionForInlineDateTimes.ttl";
final String baseURI = "";
final RDFFormat format = RDFFormat.TURTLE;
/*
* Query(ies) demonstrating your bug.
*/
final String query =
// "prefix bd: <"+BD.NAMESPACE+"> " +
"prefix rdf: <"+RDF.NAMESPACE+"> " +
"prefix rdfs: <"+RDFS.NAMESPACE+"> " +
"SELECT DISTINCT ?ar WHERE {\n"
+ " FILTER(?datePub>=\"2011-03-08T08:48:27.003\"^^<http://www.w3.org/2001/XMLSchema#dateTime>).\n"
+ " ?ar <os:prop/analysis/datePublished> ?datePub\n"
+ "} ORDER BY DESC(?datePub)";
sesameSail.initialize();
bigdataSail.initialize();
final Repository sesameRepo = new SailRepository(sesameSail);
final BigdataSailRepository bigdataRepo = new BigdataSailRepository(bigdataSail);
{ // load the data into the Sesame store
final RepositoryConnection cxn = sesameRepo.getConnection();
try {
cxn.setAutoCommit(false);
cxn.add(getClass().getResourceAsStream(data), baseURI, format);
cxn.commit();
} finally {
cxn.close();
}
}
{ // load the data into the bigdata store
final RepositoryConnection cxn = bigdataRepo.getConnection();
try {
cxn.setAutoCommit(false);
cxn.add(getClass().getResourceAsStream(data), baseURI, format);
cxn.commit();
} finally {
cxn.close();
}
}
final Collection<BindingSet> answer = new LinkedList<BindingSet>();
/*
* Here is how you manually build the answer set, but please make
* sure you answer truly is correct if you choose to do it this way.
// answer.add(createBindingSet(
// new BindingImpl("neType", vf.createURI("http://example/class/Location"))
// ));
// answer.add(createBindingSet(
// new BindingImpl("neType", vf.createURI("http://example/class/Person"))
// ));
*/
/*
* Run the problem query using the Sesame store to gather the
* correct results.
*/
{
final RepositoryConnection cxn = sesameRepo.getConnection();
try {
final SailTupleQuery tupleQuery = (SailTupleQuery)
cxn.prepareTupleQuery(QueryLanguage.SPARQL, query);
tupleQuery.setIncludeInferred(false /* includeInferred */);
final TupleQueryResult result = tupleQuery.evaluate();
if (log.isInfoEnabled()) {
log.info("sesame results:");
if (!result.hasNext()) {
log.info("no results.");
}
}
while (result.hasNext()) {
final BindingSet bs = result.next();
answer.add(bs);
if (log.isInfoEnabled())
log.info(bs);
}
} finally {
cxn.close();
}
}
/*
* Run the problem query using the bigdata store and then compare
* the answer.
*/
final RepositoryConnection cxn = bigdataRepo.getReadOnlyConnection();
try {
final SailTupleQuery tupleQuery = (SailTupleQuery)
cxn.prepareTupleQuery(QueryLanguage.SPARQL, query);
tupleQuery.setIncludeInferred(false /* includeInferred */);
if (log.isInfoEnabled()) {
final TupleQueryResult result = tupleQuery.evaluate();
log.info("bigdata results:");
if (!result.hasNext()) {
log.info("no results.");
}
while (result.hasNext()) {
log.info(result.next());
}
}
final TupleQueryResult result = tupleQuery.evaluate();
compare(result, answer);
} finally {
cxn.close();
}
} finally {
if (sesameSail != null)
sesameSail.shutDown();
if (bigdataSail != null)
bigdataSail.__tearDownUnitTest();
}
}
}