What is Shuffling in MapReduce?
Shuffling in MapReduce
As the Reducer receives the Mapper output which is also called as Intermediate Data as its input, it has to make sure that the Reducer receives the data sorted on its Key. For this purpose all the Unique keys are pulled together and sorted and sent to the Reducer. This phase is called Shuffling in MapReduce.
Happy Hadooping 
-
How to change the file cached by Distributed Cache?
Distributed Cache in MapReduce can be updated by replacing
-
Hadoop Architecture (Article 2 in Hadoop series)
Hadoop Architecture is divided into 2 core layers, one
-
Can we update the file cached by the Distributed Cache?
No, Distributed Cache tracks the caching with timestamp. Cached
This site uses Akismet to reduce spam. Learn how your comment data is processed.
Leave a Reply