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Sample Assignment 1: Implementing a Multi-threaded File Processor

Problem Statement:
Create a multi-threaded Java application that reads data from a set of text files, processes the data by counting the frequency of each word, and writes the results to output files. Ensure thread safety and optimized performance.

Solution Overview:

import java.io.*;
import java.util.*;
import java.util.concurrent.*;

public class WordFrequencyProcessor {
    private static final ExecutorService executor = Executors.newFixedThreadPool(5);
    private static final ConcurrentMap<String, Integer> wordCounts = new ConcurrentHashMap<>();

    public static void main(String[] args) throws InterruptedException {
        File folder = new File("input_files");
        File[] files = folder.listFiles((dir, name) -> name.endsWith(".txt"));

        List<Future<?>> futures = new ArrayList<>();
        assert files != null;
        for (File file : files) {
            futures.add(executor.submit(() -> processFile(file)));
        }

        for (Future<?> future : futures) {
            future.get();
        }

        executor.shutdown();
        writeOutput();
    }

    private static void processFile(File file) {
        try (BufferedReader br = new BufferedReader(new FileReader(file))) {
            String line;
            while ((line = br.readLine()) != null) {
                for (String word : line.split("\\s+")) {
                    wordCounts.merge(word.toLowerCase(), 1, Integer::sum);
                }
            }
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    private static void writeOutput() {
        try (PrintWriter writer = new PrintWriter("output.txt")) {
            wordCounts.forEach((word, count) -> writer.println(word + ": " + count));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
}

 

This solution showcases the use of ConcurrentHashMap for thread safety, and ExecutorService for parallel execution—an ideal example for students learning concurrent programming.

Sample Assignment 2: Implementing a Custom HashMap

Problem Statement:
Design and implement your own MyHashMap class in Java with basic functionalities like put(), get(), and remove(). Avoid using Java’s built-in HashMap class.

Solution Overview:

import java.util.LinkedList;

class MyHashMap<K, V> {
    private final int SIZE = 100;
    private final LinkedList<Entry<K, V>>[] table;

    public MyHashMap() {
        table = new LinkedList[SIZE];
        for (int i = 0; i < SIZE; i++) {
            table[i] = new LinkedList<>();
        }
    }

    public void put(K key, V value) {
        int index = key.hashCode() % SIZE;
        LinkedList<Entry<K, V>> bucket = table[index];
        for (Entry<K, V> entry : bucket) {
            if (entry.key.equals(key)) {
                entry.value = value;
                return;
            }
        }
        bucket.add(new Entry<>(key, value));
    }

    public V get(K key) {
        int index = key.hashCode() % SIZE;
        for (Entry<K, V> entry : table[index]) {
            if (entry.key.equals(key)) {
                return entry.value;
            }
        }
        return null;
    }

    public void remove(K key) {
        int index = key.hashCode() % SIZE;
        table[index].removeIf(entry -> entry.key.equals(key));
    }

    private static class Entry<K, V> {
        K key;
        V value;

        Entry(K key, V value) {
            this.key = key;
            this.value = value;
        }
    }
}

 

This assignment demonstrates key concepts like hashing, collision resolution, and object-oriented design — ideal for Java data structure modules.

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