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

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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.
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.