Tag Archives: Hadoop

Getting Started with Hadoop 2.0

Apache™ Hadoop® is an open source software project that enables the distributed processing of large data sets across clusters of commodity servers. It is designed to scale up from a single server to thousands of machines, with a very high degree of fault tolerance. Rather than relying on high-end hardware, the resiliency of these clusters comes from the software’s ability to detect and handle failures at the application layer. Hadoop 1 popularized MapReduce programming for batch jobs and demonstrated the potential value of large scale, distributed processing. MapReduce, as implemented in Hadoop 1, can be I/O intensive, not suitable for interactive analysis, and constrained in support for graph, machine learning and on other memory intensive algorithms. Hadoop developers rewrote major…

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Running Hadoop 1.1.2 on Ubuntu Linux (Single-Node Cluster)

In this tutorial I will describe the required steps for setting up a pseudo-distributed, single-node Hadoop cluster backed by the Hadoop Distributed File System, running on Ubuntu Linux. This tutorial has been tested with the following software versions: Ubuntu 13.04 Apache Hadoop 1.1.2 (Released on February 15th, 2013) Prerequisites Oracle Java 7 Hadoop requires a working Java 1.5+ (aka Java 5) installation. In this tutorial, I will describe the installation of Java 1.7.0 Update 21. You can get an Java Development Kit(JDK) on the oracle. Then decompress it to /usr/lib/jvm/jdk1.7.0_21 (You can decompress it to any other place) After installation, you should set environment variables as following: 1. Open ~/.bashrc 2. Add following statements: You can make a quick check whether Oracle’s JDK is…

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