hadoop cluster tutorial

This series of articles describes how to install and configure hadoop in full distribution mode and some basic operations in full distribution mode. Prepare to use a single-host call before joining the node. This article only describes how to install and configure a single node. 1. Install Namenode and JobTracker This is the first and most critical cluster in full distribution mode. Use VMWARE virtual Ubu

Zookeeper cluster (pseudo cluster) Building tutorial, zookeeper Cluster What is zookeeper? What can Zookeeper do? As the name suggests, zookeeper is the zoo administrator. It is the administrator of hadoop (ELEPHANT), Hive (BEE), pig (pig), and Apache Hbase and Apache Solr d

Virtual machine to build Hadoop all distributed cluster-in detail (1) Virtual machine to build Hadoop all distributed cluster-in detail (2) Virtual machine to build Hadoop all distributed cluster-in detail (3) In the above three b

Hadoop, commonly known as distributed computing, was initially an open-source project and originally originated from Google's two white papers. However, just like Linux a decade ago, although Hadoop was initially very simple, with the rise of big data in recent years, it has also gained a stage to fully reflect the value. This is exactly why Hadoop is widely used

:/home/grid/nfs_share nfs ults 0 0 Configure SSH on NFS servers and nodes Add the keys of each node to the NFS server. Ssh h1.hadoop.com cat ~ /. Ssh/id_rsa.pub> ~ /. Ssh/authorized_keys Ssh h2.hadoop.com cat ~ /. Ssh/id_rsa.pub> ~ /. Ssh/authorized_keys Ssh h3.hadoop.com cat ~ /. Ssh/id_rsa.pub> ~ /. Ssh/authorized_keys Id_rsa.pub Create a soft connection to the shared directory file authorized_keys on each node Install on each node Yum-y install nfs-utils Mkdir/nfs_share Mount-t nfs 192.168.1.

Document directory Format namenode Solution 1: Solution 2: View Original Note: Switch the version from 0.21.0 to 0.20.205.0 or vice versa. There is no way to use the built-in upgrade command (many operations in this article are best written as scripts, which is too troublesome to manually operate) Please indicate the source for reprinting. Thank you. It is really tiring to implement it.Before testing The test uses three machines as the test: Namenode/secondarynamenode: 192.168.1.39 slave0

Hadoop version: hadoop-2.5.1-x64.tar.gz The study referenced the Hadoop build process for the two nodes of the http://www.powerxing.com/install-hadoop-cluster/, I used VirtualBox to open four Ubuntu (version 15.10) virtual machines, build four nodes of the

Objective:Some time ago to learn how to deploy a pseudo-distributed model of the Hadoop environment, because the work is busy, learning progress stalled for some time, so today to take the time to learn the results of the recent and share with you.This article is about how to use VMware to build your own Hadoop cluster. If you want to know about pseudo-distribute

install ganglia-monitor. #SudoApt-GetInstallGanglia-webfrontend ganglia-Monitor Link the ganglia file to the default directory of Apache. #Sudo Ln-S/usr/share/ganglia-webfront/var/www/Ganglia Ganglia-webfrontend is equivalent to gmetad and ganglia-Web mentioned above. It also automatically installs apache2 and rrdtool for you, which is very convenient. 3.3 ganglia Configuration You must configure/etc/gmond. conf on each node. The configuration is the same as follows: Globals {daemoniz

Originally thought to build a local programming test Hadoop program Environment is very simple, did not expect to do a lot of trouble, here to share steps and problems encountered, I hope everyone smooth.I. To achieve the purpose of connecting a Hadoop cluster and being able to encode it requires the following preparation:1. Remote

distributed programs without knowing the underlying details of the distribution. Take advantage of the power of the cluster to perform high-speed operations and storage. The core design of the Hadoop framework is HDFS and MapReduce. HDFS provides storage for massive amounts of data, and MapReduce provides calculations for massive amounts of data.BuildTo build a cluster