Why Hadoop is not implemented using MPI?

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What are the technical reasons why hadoop does not use MPI for communication between different nodes.?

I could hazard a few guesses, but I do not know enough of how MPI is implemented "under the hood" to know whether or not I'm right.

Come to think of it, I'm not entirely familiar with Hadoop's internals either. I understand the framework at a conceptual level (map/combine/shuffle/reduce and how that works at a high level) but I don't know the nitty gritty implementation details. I've always assumed Hadoop was transmitting serialized data structures (perhaps GPBs) over a TCP connection, eg during the shuffle phase. Let me know if that's not true.

Dec 4, 2018 in Big Data Hadoop by Neha
• 6,260 points

edited Dec 4, 2018 by Neha 22 views

1 answer to this question.

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 One of the big features of Hadoop/map-reduce is the fault tolerance. Fault tolerance is not supported in most of the current MPI implementations. It is being thought about for future versions of OpenMPI.

answered Dec 4, 2018 by Frankie
• 9,810 points

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