Question
Using map reduce to count word frequency.
https://hadoop.apache.org/docs/r1.2.1/mapred_tutorial.html#Example%3A+WordCount+v1.0
Example
chunk1: "Google Bye GoodBye Hadoop code"
chunk2: "lintcode code Bye"
Get MapReduce result:
Bye: 2
GoodBye: 1
Google: 1
Hadoop: 1
code: 2
lintcode: 1
Solution
Java
/**
* Definition of OutputCollector:
* class OutputCollector<K, V> {
* public void collect(K key, V value);
* // Adds a key/value pair to the output buffer
* }
*/
public class WordCount {
public static class Map {
public void map(String key, String value, OutputCollector<String, Integer> output) {
// Write your code here
// Output the results into output buffer.
// Ps. output.collect(String key, int value);
StringTokenizer st = new StringTokenizer(value);
while (st.hasMoreTokens()) {
output.collect(st.nextToken(), 1);
}
}
}
public static class Reduce {
public void reduce(String key, Iterator<Integer> values,
OutputCollector<String, Integer> output) {
// Write your code here
// Output the results into output buffer.
// Ps. output.collect(String key, int value);
int sum = 0;
while (values.hasNext()) {
sum += values.next();
}
output.collect(key, sum);
}
}
}