# AGLubm50Build.java

`package com.franz.agbase.examples;
import com.franz.agbase.AllegroGraph;
import com.franz.agbase.AllegroGraphConnection;
import com.franz.agbase.AllegroGraphException;
public class AGLubm50Build {
/**
* Demonstrates loading and indexing a triple store with the LUBM 50
* benchmark data. This data includes the minimal set of additional
* triples (1000 triples) inferred ahead of time using OWL (non-RDFS++)
* reasoning that reduces the LUBM queries to RDFS++ challenge problems.
* Please refer to the files AGLubm50Prolog.java and AGLubm50SPARQL.java
* to run these queries using Prolog and SPARQL-RDFS++ reasoning, resp.
*
* The data that is necessary to run this example is available at:
* http://franzdownload.com/allegrograph/data/lubm50rdfs++.nt.bz2
*
* The file is about 1.2GB when unpacked. The example assumes that
* the file will be unpacked in the AGPaths.DATA_SOURCES directory;
* modify this location as necessary.
*
* @throws AllegroGraphException
*/
public static void main(String[] args) throws AllegroGraphException {
// Connect to server, which must already be running.
AllegroGraphConnection ags = new AllegroGraphConnection();
try {
ags.setPort(4126);
ags.enable();
} catch (Exception e) {
throw new AllegroGraphException("Server connection problem", e);
}
// Estimate the number of unique resources in the Lubm 50 data
// Simple heuristic: a little more than 1/3 of the total triples
ags.setDefaultExpectedResources(2500000);
// Create fresh triple-store for this example.
AllegroGraph ts = ags.renew("Lubm-50", AGPaths.TRIPLE_STORES);
// Load the N-Triples file -- modify the location as necessary.
AGLoadNtriples.loadNTriplesWithTiming(ts, AGPaths.dataSources("lubm50rdfs++.nt"));
// Index the store -- save disk space by only using 3 indices
ts.setIndexFlavors(new String[]{"spogi","posgi","ospgi"});
AGIndexAllTriples.indexAllTriplesWithTiming(ts);
// Close the store and disconnect from the server
ts.closeTripleStore();
ags.disable();
}
}
`

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