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Apache Hadoop - Interview Questions and Answers for 'Apache hadoop' - 2 question(s) found - Order By Newest

 Q1. Difference between hadoop 1.x and 2.x?Apache Hadoop2018-09-24 08:21:35

Ans. Hadoop 1.x

It supports only MapReduce (MR) processing model.
It has limited scaling of nodes. Limited to 4000 nodes per cluster.
It has single Namenode to manage the entire namespace.
It has Single-Point-of-Failure (SPOF)
Works on concepts of slots – slots can run either a Map task or a Reduce task
MR has to do both processing and cluster resource management.

Hadoop 2.x

It supports MR as well as other distributed computing models like Spark, Hama, etc
It has better scalability. Scalable up to 10000 nodes per cluster.
Works on concepts of containers. Using containers can run generic tasks.
It has Multiple Namenode servers manage multiple namespace.
YARN does cluster resource management and processing is done using different processing models.

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 Q2. Difference between group and cogroup?Apache Hadoop2018-09-24 08:21:49

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