Multi-threading program taking longer than single thread (Java)

Duck :

I have to write a program that reads all of the words from a file and determines how many times each word is used. I'm tasked to use multi-threading to speed the run time, but the single threaded program runs faster than the multi. I've tried researching a solution to this but a lot of the explanations are only confusing me more. I'm very new to using threads, and was wondering if anyone could point me in the right direction of fixing my code so that the overhead for creating the threads won't cause the program to run slower than the single thread.

public class Main 
{
final static int THREADS = 4;
static HashMap<String, Integer> map = new HashMap<>();
static List<String> file = new ArrayList<String>();
static String filename = "D:\\yes.txt";
static int count;




public static void main(String args[]) throws Exception
{
    long startTime = System.nanoTime();
    Monitor m = new Monitor();
    final Queue<String> dataQueue = new ConcurrentLinkedQueue<>();

    try ( Scanner in = new Scanner(new File(filename))) 
    {
                while ( in.hasNext() ) 
                {
                    dataQueue.add( in.next() );
                }
    }
    catch ( IOException e ) 
    {
        e.printStackTrace();
    }


    Thread T1 = new Thread( new WordCount(m, map, dataQueue ));
    Thread T2 = new Thread( new WordCount(m, map, dataQueue ));
    Thread T3 = new Thread( new WordCount(m, map, dataQueue ));
    Thread T4 = new Thread( new WordCount(m, map, dataQueue ));

    T1.start();
    T2.start();
    T3.start();
    T4.start();


     //wait for threads to end
       try {
       T1.join();
       T2.join();
       T3.join();
       T4.join();
    } catch ( Exception e) {
       System.out.println("Interrupted");
    }   

    Set<String> keys = map.keySet();
    for (String key : keys) 
    {
        System.out.println(key);
        System.out.println(map.get(key));
    }
    long endTime = System.nanoTime();
    System.out.println("Thread Took "+((endTime - startTime)/100000) + " ms");


}
}

public class WordCount implements Runnable
{

    private Monitor m;
    private Queue<String> dataQueue;
    private HashMap<String, Integer> map;

    public WordCount(Monitor m, HashMap<String, Integer> map,Queue<String> dataQueue)
    {
        this.m = m;
        this.dataQueue = dataQueue;
        this.map = map;
    }

    @Override public void run()
    {
        while ( !dataQueue.isEmpty() ) 
        {
            String line = dataQueue.poll();
            m.keySet(map, line);
        }
    }   
}

public class Monitor 
{
    public synchronized void keySet(HashMap<String, Integer> map, String word) 
    {
        String[] words = filterIllegalTokens(word );
        String[] lowerCaseWords = mapToLowerCase( words );
         for ( String s : lowerCaseWords ) {


        if (map.containsKey(s)) 
        {
            map.put(s, map.get(s) + 1);

        } 
        else 
        {
            map.put(s, 1);
        }
         }
    }
    public  String[] filterIllegalTokens(String words)
    {
        List<String> filteredList = new ArrayList<>();

        if ( words.matches( "[a-zA-Z]+" ) ) {
                filteredList.add( words );
            }

        return filteredList.toArray( new String[filteredList.size()] );
    }
    public  String[] mapToLowerCase( String[] words )
    {
        String[] filteredList = new String[words.length];
        for ( int i = 0; i < words.length; i++ ) {
            filteredList[i] = words[i].toLowerCase();
        }
        return filteredList;
    }
}

These are the three classes I have. Any tips or advice?

Stefan :

A rule of thumbs says that you need one CPU core for the operating system, the others can be used for the program. So you need at least 5 CPU cores for optimal performance.

The overhead for creating these few threads does not really matter. That would become more relevant when you start dozens of threads withing milliseconds.

The main issue in your code is that you access data in a shared memory area for 90% of the total time. In this case we are talking about the ConcurrentLinkedQueue and the synchronized Monitor.keySet() method. While one thread access these objects, the other 3 threads must wait. When you run your program for a long time you might notice that only a fraction of your total CPU power is used.

To improve the performance I would recommend to split the job queue into 4 packets before you start the threads, so each thread can then process its own packet without waiting for other threads. Also each thread shall collect its result in an individual container. Then finally (after the threads are finished), you can combine the four results.

If your worker threads would be more complicated, your problem would be less hard. For example if the access to the containers would take only 10% of the overall time (while some calculation takes 90%) then the overhead of the thread synchronization would also be much less - relative to the total execution time.