About this document
Understanding MapReduce Algorithms by jefferyleclerc is a document available to read on EtoBox.
This document provides a simplified view of MapReduce. Mappers process input key-value pairs in parallel and generate intermediate key-value pairs. These pairs are shuffled and sorted by key, then reducers process all values associated with the same key to generate the final output. The word count algorithm is provided as an example - mappers emit each word as a key paired with a count of 1, while reducers sum the counts for each word.
- Author
- jefferyleclerc
- Language
- EN