[CT414]: Add Assignment 2 code

This commit is contained in:
2025-03-22 14:53:43 +00:00
parent 26ae83ef63
commit 3fc5dd6d43

View File

@ -0,0 +1,313 @@
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Iterator;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;
import java.io.IOException;
import java.io.File;
import java.io.FileReader;
import java.io.BufferedReader;
import java.util.Scanner;
public class MapReduceFiles {
public static void main(String[] args) {
if (args.length < 3) {
System.err.println("usage: java MapReduceFiles file1.txt file2.txt file3.txt");
}
Map<String, String> input = new HashMap<String, String>();
try {
input.put(args[0], readFile(args[0]));
input.put(args[1], readFile(args[1]));
input.put(args[2], readFile(args[2]));
}
catch (IOException ex)
{
System.err.println("Error reading files...\n" + ex.getMessage());
ex.printStackTrace();
System.exit(0);
}
// APPROACH #1: Brute force
{
Map<String, Map<String, Integer>> output = new HashMap<String, Map<String, Integer>>();
Iterator<Map.Entry<String, String>> inputIter = input.entrySet().iterator();
while(inputIter.hasNext()) {
Map.Entry<String, String> entry = inputIter.next();
String file = entry.getKey();
String contents = entry.getValue();
String[] words = contents.trim().split("\\s+");
for(String word : words) {
Map<String, Integer> files = output.get(word);
if (files == null) {
files = new HashMap<String, Integer>();
output.put(word, files);
}
Integer occurrences = files.remove(file);
if (occurrences == null) {
files.put(file, 1);
} else {
files.put(file, occurrences.intValue() + 1);
}
}
}
// show me:
System.out.println(output);
}
// APPROACH #2: MapReduce
{
Map<String, Map<String, Integer>> output = new HashMap<String, Map<String, Integer>>();
// MAP:
List<MappedItem> mappedItems = new LinkedList<MappedItem>();
Iterator<Map.Entry<String, String>> inputIter = input.entrySet().iterator();
while(inputIter.hasNext()) {
Map.Entry<String, String> entry = inputIter.next();
String file = entry.getKey();
String contents = entry.getValue();
map(file, contents, mappedItems);
}
// GROUP:
Map<String, List<String>> groupedItems = new HashMap<String, List<String>>();
Iterator<MappedItem> mappedIter = mappedItems.iterator();
while(mappedIter.hasNext()) {
MappedItem item = mappedIter.next();
String word = item.getWord();
String file = item.getFile();
List<String> list = groupedItems.get(word);
if (list == null) {
list = new LinkedList<String>();
groupedItems.put(word, list);
}
list.add(file);
}
// REDUCE:
Iterator<Map.Entry<String, List<String>>> groupedIter = groupedItems.entrySet().iterator();
while(groupedIter.hasNext()) {
Map.Entry<String, List<String>> entry = groupedIter.next();
String word = entry.getKey();
List<String> list = entry.getValue();
reduce(word, list, output);
}
System.out.println(output);
}
// APPROACH #3: Distributed MapReduce
{
final Map<String, Map<String, Integer>> output = new HashMap<String, Map<String, Integer>>();
// MAP:
final List<MappedItem> mappedItems = new LinkedList<MappedItem>();
final MapCallback<String, MappedItem> mapCallback = new MapCallback<String, MappedItem>() {
@Override
public synchronized void mapDone(String file, List<MappedItem> results) {
mappedItems.addAll(results);
}
};
List<Thread> mapCluster = new ArrayList<Thread>(input.size());
Iterator<Map.Entry<String, String>> inputIter = input.entrySet().iterator();
while(inputIter.hasNext()) {
Map.Entry<String, String> entry = inputIter.next();
final String file = entry.getKey();
final String contents = entry.getValue();
Thread t = new Thread(new Runnable() {
@Override
public void run() {
map(file, contents, mapCallback);
}
});
mapCluster.add(t);
t.start();
}
// wait for mapping phase to be over:
for(Thread t : mapCluster) {
try {
t.join();
} catch(InterruptedException e) {
throw new RuntimeException(e);
}
}
// GROUP:
Map<String, List<String>> groupedItems = new HashMap<String, List<String>>();
Iterator<MappedItem> mappedIter = mappedItems.iterator();
while(mappedIter.hasNext()) {
MappedItem item = mappedIter.next();
String word = item.getWord();
String file = item.getFile();
List<String> list = groupedItems.get(word);
if (list == null) {
list = new LinkedList<String>();
groupedItems.put(word, list);
}
list.add(file);
}
// REDUCE:
final ReduceCallback<String, String, Integer> reduceCallback = new ReduceCallback<String, String, Integer>() {
@Override
public synchronized void reduceDone(String k, Map<String, Integer> v) {
output.put(k, v);
}
};
List<Thread> reduceCluster = new ArrayList<Thread>(groupedItems.size());
Iterator<Map.Entry<String, List<String>>> groupedIter = groupedItems.entrySet().iterator();
while(groupedIter.hasNext()) {
Map.Entry<String, List<String>> entry = groupedIter.next();
final String word = entry.getKey();
final List<String> list = entry.getValue();
Thread t = new Thread(new Runnable() {
@Override
public void run() {
reduce(word, list, reduceCallback);
}
});
reduceCluster.add(t);
t.start();
}
// wait for reducing phase to be over:
for(Thread t : reduceCluster) {
try {
t.join();
} catch(InterruptedException e) {
throw new RuntimeException(e);
}
}
System.out.println(output);
}
}
public static void map(String file, String contents, List<MappedItem> mappedItems) {
String[] words = contents.trim().split("\\s+");
for(String word: words) {
mappedItems.add(new MappedItem(word, file));
}
}
public static void reduce(String word, List<String> list, Map<String, Map<String, Integer>> output) {
Map<String, Integer> reducedList = new HashMap<String, Integer>();
for(String file: list) {
Integer occurrences = reducedList.get(file);
if (occurrences == null) {
reducedList.put(file, 1);
} else {
reducedList.put(file, occurrences.intValue() + 1);
}
}
output.put(word, reducedList);
}
public static interface MapCallback<E, V> {
public void mapDone(E key, List<V> values);
}
public static void map(String file, String contents, MapCallback<String, MappedItem> callback) {
String[] words = contents.trim().split("\\s+");
List<MappedItem> results = new ArrayList<MappedItem>(words.length);
for(String word: words) {
results.add(new MappedItem(word, file));
}
callback.mapDone(file, results);
}
public static interface ReduceCallback<E, K, V> {
public void reduceDone(E e, Map<K,V> results);
}
public static void reduce(String word, List<String> list, ReduceCallback<String, String, Integer> callback) {
Map<String, Integer> reducedList = new HashMap<String, Integer>();
for(String file: list) {
Integer occurrences = reducedList.get(file);
if (occurrences == null) {
reducedList.put(file, 1);
} else {
reducedList.put(file, occurrences.intValue() + 1);
}
}
callback.reduceDone(word, reducedList);
}
private static class MappedItem {
private final String word;
private final String file;
public MappedItem(String word, String file) {
this.word = word;
this.file = file;
}
public String getWord() {
return word;
}
public String getFile() {
return file;
}
@Override
public String toString() {
return "[\"" + word + "\",\"" + file + "\"]";
}
}
private static String readFile(String pathname) throws IOException {
File file = new File(pathname);
StringBuilder fileContents = new StringBuilder((int) file.length());
Scanner scanner = new Scanner(new BufferedReader(new FileReader(file)));
String lineSeparator = System.getProperty("line.separator");
try {
if (scanner.hasNextLine()) {
fileContents.append(scanner.nextLine());
}
while (scanner.hasNextLine()) {
fileContents.append(lineSeparator + scanner.nextLine());
}
return fileContents.toString();
} finally {
scanner.close();
}
}
}