Hadoop 2.x: Architecture, Major Components and How YARN, HDFS and MapReduce Works | JournalDev
Before reading this post, please go through my previous post at " Hadoop 1.x: Architecture and How it Works " to get basic knowledge about Hadoop. In this post, we are going to discuss about Apache Hadoop 2.x Architecture and How it's components work in detail. Post's Brief Table of Contents Hadoop 2.x Architecture Hadoop 2.x Architecture: Apache Hadoop 2.x or later versions are using the following Hadoop Architecture. It is a Hadoop 2.x High-level Architecture. We will discuss in-detailed Low-level Architecture in coming sections. Hadoop Common Module is a Hadoop Base API (A Jar file) for all Hadoop Components. All other components works on top of this module. HDFS stands for Hadoop Distributed File System. It is also know as HDFS V2 as it is part of Hadoop 2.x with some enhanced features. It is used as a Distributed Storage System in Hadoop Architecture. YARN stands for Yet Another Resource Negotiator. It is new Component in Hadoop 2.x Architecture. It is also know as "MR V2″.Read full article from Hadoop 2.x: Architecture, Major Components and How YARN, HDFS and MapReduce Works | JournalDev
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