Running Simplified MapReduce Task In Java On Colab
Mohamad's interest is in Programming (Mobile, Web, Database and Machine Learning). He is studying at the Center For Artificial Intelligence Technology (CAIT), Universiti Kebangsaan Malaysia (UKM).
[1] Install Java JDK
!apt-get install openjdk-11-jdk
[2] Create java code
%%bash
# Create the Java file
echo 'import java.util.*; import java.io.*; public class WordFrequency { public static void main(String[] args) throws IOException { String[] words = {"flight", "bad", "love", "great", "delay", "service", "amazing", "worst", "happy", "customer"}; int[] counts = {150, 120, 100, 80, 60, 50, 40, 30, 20, 10}; Map<String, Integer> wordCountMap = new HashMap<>(); for (int i = 0; i < words.length; i++) { wordCountMap.put(words[i], counts[i]); } List<Map.Entry<String, Integer>> sortedEntries = new ArrayList<>(wordCountMap.entrySet()); sortedEntries.sort((a, b) -> b.getValue().compareTo(a.getValue())); System.out.println("Top 10 Word Frequencies:"); for (int i = 0; i < Math.min(10, sortedEntries.size()); i++) { System.out.println(sortedEntries.get(i).getKey() + ": " + sortedEntries.get(i).getValue()); } } }' > WordFrequency.java
[3] Compile and Run
%%bash
# Compile the Java program
javac WordFrequency.java
# Run the Java program
java WordFrequency
Output:
Top 10 Word Frequencies:
flight: 150
bad: 120
love: 100
great: 80
delay: 60
service: 50
amazing: 40
worst: 30
happy: 20
customer: 10