Package com.hp.hpl.jena.sparql.util

Examples of com.hp.hpl.jena.sparql.util.Timer.startTimer()

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    @Override
    public void createSecondaryIndexes(TupleIndex   primaryIndex ,
                                       TupleIndex[] secondaryIndexes)
    {
        Timer timer = new Timer() ;
        timer.startTimer() ;

        for ( TupleIndex index : secondaryIndexes )
        {
            if ( index != null )
            {
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    /** Load the contents of a list of URLs into a model - may not be as efficient as bulk loading into a TDB graph  */
    public static void loadModel(Model model, List<String> urls, boolean showProgress)
    {
        Timer timer = new Timer() ;
        timer.startTimer() ;

        for ( String s : urls )
        {
            if ( showProgress )
                System.out.printf("Load: %s\n", s) ;
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        {
            InputStream in = IO.openFile(args[0]) ;
            Tokenizer tokenize = TokenizerFactory.makeTokenizerUTF8(in) ;
            Timer timer = new Timer() ;
            long count = 0 ;
            timer.startTimer() ;
            for ( ; tokenize.hasNext() ; )
            {
                Token t = tokenize.next() ;
                if ( print )
                    System.out.println(t) ;
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    @Override
    public void createSecondaryIndexes(TupleIndex   primaryIndex ,
                                       TupleIndex[] secondaryIndexes)
    {
        Timer timer = new Timer() ;
        timer.startTimer() ;

        for ( TupleIndex index : secondaryIndexes )
        {
            if ( index != null )
            {
View Full Code Here
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    public void createSecondaryIndexes(TupleIndex   primaryIndex ,
                                       TupleIndex[] secondaryIndexes)
    {
        monitor.print("** Parallel index building") ;
        Timer timer = new Timer() ;
        timer.startTimer() ;

        int semaCount = 0 ;
        Semaphore sema = new Semaphore(0) ;

        for ( TupleIndex index : secondaryIndexes )
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    /** Load the contents of a list of URLs into a model - may not be as efficient as bulk loading into a TDB graph  */
    public static void loadModel(Model model, List<String> urls, boolean showProgress)
    {
        Timer timer = new Timer() ;
        timer.startTimer() ;

        for ( String s : urls )
        {
            if ( showProgress )
                System.out.printf("Load: %s\n", s) ;
View Full Code Here
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        {
            InputStream in = IO.openFile(filename) ;
            Tokenizer tokenize = TokenizerFactory.makeTokenizerUTF8(in) ;
            Timer timer = new Timer() ;
            long count = 0 ;
            timer.startTimer() ;
            for ( ; tokenize.hasNext() ; )
            {
                Token t = tokenize.next() ;
                if ( print )
                    System.out.println(t) ;
View Full Code Here
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    public void createSecondaryIndexes(TupleIndex   primaryIndex ,
                                       TupleIndex[] secondaryIndexes)
    {
        monitor.print("** Parallel index building") ;
        Timer timer = new Timer() ;
        timer.startTimer() ;

        int semaCount = 0 ;
        Semaphore sema = new Semaphore(0) ;

        for ( TupleIndex index : secondaryIndexes )
View Full Code Here
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    @Override
    public void createSecondaryIndexes(TupleIndex   primaryIndex ,
                                       TupleIndex[] secondaryIndexes)
    {
        Timer timer = new Timer() ;
        timer.startTimer() ;

        long time1 = timer.readTimer() ;

        LoaderNodeTupleTable.copyIndex(primaryIndex.all(), secondaryIndexes, "All", monitor) ;
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    @Override
    public void createSecondaryIndexes(TupleIndex   primaryIndex ,
                                       TupleIndex[] secondaryIndexes)
    {
        Timer timer = new Timer() ;
        timer.startTimer() ;

        for ( TupleIndex index : secondaryIndexes )
        {
            if ( index != null )
            {
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