boho chic wholesale jewelry How to quickly build a multi -node Hadoop cluster based on docker

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2 thoughts on “boho chic wholesale jewelry How to quickly build a multi -node Hadoop cluster based on docker”

  1. Claude

    where to buy jewelry wholesale diamond One of the core features of Docker is to pack any applications including Hadoop into Docker mirrors. This tutorial introduces the detailed steps to quickly build a multi -node Hadoop cluster on a single machine. After discovering the problems existing in the current Hadoop On Docker project, the author developed a Hadoop mirror close to the minimum and supported the Hadoop cluster with a number of nodes quickly.
    github: Kiwanlau/Hadoop-Cluster-Docker
    directly building the Hadoop cluster with a machine is a very painful process, especially for beginners. They have not started to run WordCount, and they may be tossed by this problem. And not everyone has several machines, right? You can try to build with multiple virtual machines, provided that you have a machine with a performance.
    The goal is to run the Hadoop cluster in the Docker container, so that the Hadoop developers can quickly and conveniently build a multi -node Hadoop cluster in this machine. In fact, this idea has been realized a lot, but it is not very ideal. They are too large, or they are too slow, or the use of third -party tools to make it too complicated to use. The following table is some known Hadoop On Docker projects and their existing problems.
    The number of Hadoop cluster nodes faster and more conveniently
    It, the/Hadoop-Mutinode project needs to manually modify the Hadoop configuration file and then build the Hadoop-NN-DN mirror, and then modify the container to start the script. In order to achieve the function of increasing nodes. And I realize automatic words through the shell script. In less than 1 minute, I can re-build the Hadoop-Master mirror, and then run it immediately! This project starts the Hadoop cluster of 3 nodes by default and supports the Hadoop cluster of any node.
    Ip, starting Hadoop, running WordCount, and re -building image use the shell script to automate. This makes the use and development of the entire project very convenient and fast.
    The development testing environment
    Ist operation system: Ubuntu 14.04 and ubuntu 12.04
    Gyneumine version: 3.13.0-32-GENERIC
    docker version: 1.5.0 and 1.6.2
    Little friends, insufficient hard disk, insufficient memory, especially the low kernel version will cause operation failure.

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