WordCount program in Hadoop (using Eclipse on a Hadoop VM)

WordCount in Hadoop – Quick Breakdown!
1. Mapper:
Reads input line-by-line, splits lines into words, and emits each word with count 1.
Example Output:
(Hello, 1)
(World, 1)

2. Shuffle & Sort (Handled by Hadoop):
Groups all similar keys (words) from all mappers together.
Example:
(Hello, [1, 1, 1])

3. Reducer:
Takes each word and the list of counts, sums them up.
Example Output:
(Hello, 3)
(World, 2)

Result: Total count of each word from the input file.