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Hadoop cluster installation-CDH5 (three server clusters) Hadoop cluster installation-CDH5 (three server clusters) CDH5 package download: http://archive.cloudera.com/cdh5/ Host planning: IP Host Deployment module Process 192.168.107.82 Hadoop-NN-
first, the purpose of the experiment1. There is only one namenode for the existing Hadoop cluster, and a namenode is now being added.2. Two namenode constitute the HDFs Federation.3. Do not restart the existing cluster without affecting data access.second, the experimental environment4 CentOS Release 6.4 Virtual machines with IP address192.168.56.101 Master192.16
This article explains how to install Hadoop on a Linux cluster based on Hadoop 2.2.0 and explains some important settings. Build a Hadoop environment on Ubuntu 13.04 Cluster configuration for Ubuntu 12.10 + Hadoop 1.2.1 Build a
to the Environment/etc/profile: Export hadoop_home =/ home/hexianghui/hadoop-0.20.2 Export Path = $ hadoop_home/bin: $ path 7. Configure hadoop The main configuration of hadoop is under the hadoop-0.20.2/CONF. (1) configure the Java environment in CONF/hadoop-env.sh (nameno
Hadoop2.0 has released a stable version, adding a lot of features, such as HDFs HA, yarn, and so on. The newest hadoop-2.4.1 also adds yarn HA Note: The hadoop-2.4.1 installation package provided by Apache is compiled on a 32-bit operating system because Hadoop relies on some C + + local libraries, so if you install hadoop
Several Problem records during Hadoop cluster deployment This chapter deploy a Hadoop Cluster Hadoop 2.5.x has been released for several months, and there are many articles on configuring similar architectures on the Internet. So here we will focus on the configuration metho
1. Cluster Introduction 1.1 Hadoop Introduction Hadoop is an open-source distributed computing platform under the Apache Software Foundation. Hadoop, with Hadoop Distributed File System (HDFS, Hadoop Distributed Filesystem) and Ma
based on Rhel 5, and CentOS compiles and packages the CentOS Linux 5.1 release. CentOS Linux and its corresponding version of the Rhel release have package-level binary compatibility, that is, if an RPM package can be installed and run in a Rhel product, it can be installed in the corresponding version of CentOS Linux properly. CentOS Linux is becoming more and more widely used because of its compatibility with Rhel and the stability of enterprise applications and the freedom of users.CentOS Fe
loginInstall online on UbuntuExecute commandsudo apt-get install SSH**********************************************Configure the implementation of SSH ideas:Use Ssh-keygen to generate public key,private key on each machineAll the public keys on the machine are copied to a computer such as MasterGenerate an authorization key file on Master Authorized_keysFinally, the Authorized_keys is copied to all the machines in the
1. An overview of the establishment of the cloud platform for colleges and universities started a few days ago. The installation and configuration of the hadoop cluster test environment took about two days, I finally completed the basic outline and shared my experience with you. Ii. hardware environment 1, Windows 7 flagship edition 64-bit 2, VMWare Workstation ace version 6.0.23, RedHat Linux 54,
First of all, to ask, what is CDH?To install a Hadoop cluster that deploys 100 or even 1000 servers, package I including hive,hbase,flume ... Components, a day to build the complete, there is to consider the system after the update asked questions, then need to CDH Advantages of the CDH version:Clear Version DivisionFaster version updateSupport for Kerberos security authenticationDocument Clarity (Official
Win7 myeclipse remote connection to Hadoop cluster in Mac/linux(You can also visit this page to view: http://tn.51cto.com/article/562)Required Software:(1) Download Hadoop2.5.1 to Win7 system, and unziphadoop2.5.1:indexof/dist/hadoop/core/hadoop-2.5.1Http://archive.apache.org/dist/
This article assumes that users have a basic understanding of Docker, Master Linux basic commands, and understand the general installation and simple configuration of Hadoop.Lab Environment: windows10+vmware WorkStation 11+linux.14.04 server+docker 1.7 windows 10 as the physical machine operating system, the network segment is: 10.41.0.0/24, the virtual machine uses the NAT network, the subnet is the 192.168.92.0/ 24, the gateway is 192.168.92.2,linux 14.04 for the virtual system, as a host for
installation candidateSSH Service operation command: Note: In order to implement each sub-node can use Putty Connection, the master,node1,node2,node3 are installed SSH services. In fact, if master can log on to each child node without a password, the other child nodes (NODE1,NODE2,NODE3) must also have the SSH service installed. Configure SSH password-free login for master machine 1) Set master SSH to automaticall
VM Virtual MachinesConfiguration:NAT Network Configuration Reference: http://www.cnblogs.com/gongice/p/4337379.html install pre-Hadoop equipment (on each host): Configure sudo (optional):[[email protected] Hadoop] # chmod u+w/etc/sudoers [[email protected] Hadoop] # vi/etc/sudoersAdd a row of data:Hadoop all= (All) Nopasswd:all，HadoopFor sudo password-
Org.apache.hadoop.hdfs.server.namenode.ha.EditLogTailer.doTailEdits (Editlogtailer.java:216) at Org.apache.hadoop.hdfs.server.namenode.ha.editlogtailer$editlogtailerthread.dowork (EditLogTailer.java:342) at org.apache.hadoop.hdfs.server.namenode.ha.editlogtailer$editlogtailerthread.access$ $(Editlogtailer.java:295) at org.apache.hadoop.hdfs.server.namenode.ha.editlogtailer$editlogtailerthread$1. Run (Editlogtailer.java:312) at Org.apache.hadoop.security.SecurityUtil.doAsLoginUserOrFatal (Securi
Build the Hadoop 2.6.3 fully distributed environment on the CentOS 6.7 x64 and test successfully on the Digitalocean.This article assumes:Master node (NameNode) domain name (hostname): m.fredlab.org child node (DataNode) domain name (hostname): s1.fredlab.org s2.fredlab.org s3.fredlab.orgFirst, configure SSH Trust1. Generate public private key on Master machine: Id_rsa and Id_rsa.pubSsh-keygen2
After more than a week, I finally set up the latest version of Hadoop2.2 cluster. During this period, I encountered various problems and was really tortured as a cainiao. However, when wordcount gave the results, I was so excited ~~ (If you have any errors or questions, please correct them and learn from each other) In addition, you are welcome to leave a message when you encounter problems during the configuration process and discuss them with each o
Introduction Recently, with the need for scientific research, Hadoop clusters have been built from scratch, including separate zookeeper and HBase. For Linux, Hadoop and other related basic knowledge is relatively small, so this series of sharing applies to a variety of small white, want to experience the Hadoop cluster
GB in this iteration... Solution:1. Increase the available bandwidth of the Balancer.We think about whether the Balancer's default bandwidth is too small, so the efficiency is low. So we try to increase the Balancer's bandwidth to 500 M/s: hadoop dfsadmin -setBalancerBandwidth 524288000 However, the problem has not been significantly improved. 2. Forcibly Decommission the nodeWe found that when Decommission is performed on some nodes, although the da
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