Examples of org.apache.jena.larq.IndexBuilderModel

org.apache.jena.larq.IndexBuilderModel
Root class for index creation from a graph or model. This class can be used as a Model listener to index while loading data. It also provides the ability to index from a StmtIterator. Once completed, the index builder should be closed for writing, then the getIndex() called. To update the index once closed, the application should create a new index builder. Any index readers (e.g. IndexLARQ objects) need to be recreated and registered.

        Location location = new Location(args[0]);
        Dataset dataset = TDBFactory.createDataset(location);
        
        FSDirectory dir = FSDirectory.open(new File(args[1]));
        IndexWriter indexWriter = IndexWriterFactory.create(dir) ;
        IndexBuilderModel larqBuilder = new IndexBuilderString(indexWriter) ; 
        
        Model defaultModel = dataset.getDefaultModel();
        index (larqBuilder, defaultModel);
        for ( Iterator<String> iter = dataset.listNames() ; iter.hasNext() ; ) {
            String g = iter.next() ;

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        ResultSetFormatter.out(res);
        qe.close();
    }


    public static void index(Model m) {
        IndexBuilderModel larqBuilder = new IndexBuilderString();
        //IndexBuilderModel larqBuilder = new IndexBuilderSubject();
        StmtIterator iter = m.listStatements();
        larqBuilder.indexStatements(iter);
        larqBuilder.closeWriter();


        LARQ.setDefaultIndex(larqBuilder.getIndex());
    }

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    @Override
    protected void exec()
    {
        // ---- Read and index all literal strings.
        IndexBuilderModel larqBuilder = 
            indexSubjects ? new IndexBuilderSubject(modIndex.getIndexWriter()) :
                            new IndexBuilderString(modIndex.getIndexWriter()) ;
        if ( allow_duplicates ) larqBuilder.setAvoidDuplicates(false) ;
        Dataset ds = modDataset.getDataset() ;
        index(larqBuilder, ds.getDefaultModel()) ;
        for ( Iterator<String> iter = ds.listNames() ; iter.hasNext() ; )
        {
            String g = iter.next() ;
            index(larqBuilder, ds.getNamedModel(g)) ;
        }
        
        larqBuilder.closeWriter() ;
    }

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        if ( dataset != null ) 
        {
            try 
            {
                IndexWriter indexWriter = IndexWriterFactory.create(directory);
                IndexBuilderModel larqBuilder = new IndexBuilderString(indexWriter) ; 
                dataset.getDefaultModel().register(larqBuilder);
                for ( Iterator<String> iter = dataset.listNames() ; iter.hasNext() ; ) {
                    String g = iter.next() ;
                    dataset.getNamedModel(g).register(larqBuilder) ;
                }

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    private static void build (Dataset dataset, File path)
    {
        Directory directory = null ;
        IndexWriter indexWriter = null ;
        IndexBuilderModel larqBuilder = null ;
        try {
            directory = FSDirectory.open(path) ;
            indexWriter = IndexWriterFactory.create(directory);
            larqBuilder = new IndexBuilderString(indexWriter) ;
            larqBuilder.setAvoidDuplicates(false) ;
            index(larqBuilder, dataset.getDefaultModel()) ;
            for ( Iterator<String> iter = dataset.listNames() ; iter.hasNext() ; )
            {
                String g = iter.next() ;
                index(larqBuilder, dataset.getNamedModel(g)) ;
            }
        } catch (Exception e) {
            log.warn("Exception building the index: {}", e.getMessage()) ;
        } finally {
            if ( larqBuilder != null) larqBuilder.closeWriter() ;
            if ( directory != null ) try { directory.close() ; } catch (IOException e) { log.warn("Problems closing the Lucene directory.") ; }
        }
    }

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        if ( dataset != null ) 
        {
            try 
            {
                IndexWriter indexWriter = IndexWriterFactory.create(directory);
                IndexBuilderModel larqBuilder = new IndexBuilderString(indexWriter) ; 
                dataset.getDefaultModel().register(larqBuilder);
                for ( Iterator<String> iter = dataset.listNames() ; iter.hasNext() ; ) {
                    String g = iter.next() ;
                    dataset.getNamedModel(g).register(larqBuilder) ;
                }

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    private static void build (Dataset dataset, File path)
    {
        Directory directory = null ;
        IndexWriter indexWriter = null ;
        IndexBuilderModel larqBuilder = null ;
        try {
            directory = FSDirectory.open(path) ;
            indexWriter = IndexWriterFactory.create(directory);
            larqBuilder = new IndexBuilderString(indexWriter) ;
            larqBuilder.setAvoidDuplicates(false) ;
            index(larqBuilder, dataset.getDefaultModel()) ;
            for ( Iterator<String> iter = dataset.listNames() ; iter.hasNext() ; )
            {
                String g = iter.next() ;
                index(larqBuilder, dataset.getNamedModel(g)) ;
            }
        } catch (Exception e) {
            log.warn("Exception building the index: {}", e.getMessage()) ;
        } finally {
            if ( larqBuilder != null) larqBuilder.closeWriter() ;
            if ( directory != null ) try { directory.close() ; } catch (IOException e) { log.warn("Problems closing the Lucene directory.") ; }
        }
    }

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