hadoop cluster tutorial

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Hadoop 2.2.0 cluster Installation

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

Hadoop Cluster Integrated Kerberos

Last week, the team led the research to Kerberos, to be used in our large cluster, and the research task was assigned to me. This week's words were probably done with a test cluster. So far the research is still relatively rough, many online data are CDH clusters, and our cluster is not used CDH, so in the process of integrating Kerberos there are some difference

ubuntu16.04 Building a Hadoop cluster environment

protected]:~$ ssh slave2Output:[Email protected]:~$ ssh slave1Welcome to Ubuntu 16.04.1 LTS (gnu/linux 4.4.0-31-generic x86_64)* documentation:https://help.ubuntu.com* management:https://landscape.canonical.com* Support:https://ubuntu.com/advantageLast Login:mon-03:30:36 from 192.168.19.1[Email protected]:~$2.3 Hadoop 2.7 Cluster deployment1, on the master machine, in the

Install and configure Mahout-distribution-0.7 in the Hadoop Cluster

data. files in this folder can be read using mahout vectordump. The original data is in the vector format. Others can only be read using mahout seqdumper, you can also use mahout seqdumper to read vector files. However, vectordump is used to read the numeric results without the corresponding key. If you read them using seqdumper, you can see the key, that is, the corresponding url, the value reads a class description instead of an array vector. 7. analysis results Build a

Cluster Server optimization (Hadoop)

system. In practical application scenarios, the Administrator optimizes Linux kernel parameters to improve the job running efficiency. The following are some useful adjustment options.(1) Increase the file descriptor and network connection limit opened at the same time.In a Hadoop cluster, due to the large number of jobs and tasks involved, the operating system kernel limits the number of file descriptors

Use Windows Azure VM to install and configure CDH to build a Hadoop Cluster

iptables off Disable SELinux $ Setenforce 0 To disable selinux permanently, edit/etc/SELINUX/config and set selinux = disabled.And then complete the installation. Change Cloudera-manager-installer.bin Permissions $ Chmod u + x cloudera-manager-installer.bin $./Cloudera-manager-installer.bin Next, accept the license agreement, press Enter and Next, The installation interface is as follows: Start the Cloudera Manager Admin Console Through the Cloudera Manager Admin console, you can configure,

Constructing Hadoop fully distributed cluster __linux based on virtual Linux+docker

This article assumes the user basic understanding Docker, grasps the Linux basic Use command, understands Hadoop's general installation and the simple configuration Experimental environment: Windows10+vmware WorkStation 11+linux.14.04 server+docker 1.7 Windows 10 as a solid machine operating system, the network segment is: 10.41.0.0/24, virtual machine using NAT network, subnet for 192.168.92.0/24, gateway for 192.168.92.2,linux 14.04 as a virtual system, as a container host, IP is 192.168.92.12

Several Problem records during Hadoop cluster deployment

-tracker.address: NodeManager in the new framework needs to report the job running status to RM for Resouce trail, so NodeManager node host needs to know the tracker interface address of the RM hostYarn. resourcemanager. admin. address: The management command accesses host: port through the ResourceManager host.Yarn. resourcemanager. webapp. address: Management page address This is the main configuration. We will discuss this matter later. I will record the configuration I don't understand or wa

Configuring the Spark cluster on top of Hadoop yarn (i)

Preface I recently contacted Spark and wanted to experiment with a small-scale spark distributed cluster in the lab. Although only with a single stand-alone version (standalone) of the pseudo-distributed cluster can also do experiments, but the sense of little meaning, but also in order to realistically restore the real production environment, after looking at some information, know that spark operation re

VMware builds Hadoop cluster complete process notes

Build Hadoop cluster Complete process notesOne, virtual machines and operating systemsEnvironment: ubuntu14+hadoop2.6+jdk1.8Virtual machine: Vmware12Second, installation steps:First configure the JDK and Hadoop on a single machine:1. Create a new Hadoop userWith command: AddUser Hadoop2. In order for

Ubuntu Hadoop distributed cluster Construction

decrypts it with the private key and returns the number of decrypted data to Slave. After the Slave confirms that the number of decrypted data is correct, it allows the Master to connect. This is a public key authentication process, during which you do not need to manually enter the password. The important process is to copy the client Master to the Slave. 2) generate a password pair on the Master machine Ssh-keygen-t rsa-p'-f ~ /. Ssh/id_rsa This command is used to generate a password-less ke

Environment Building-hadoop cluster building

Environment Building-hadoop cluster building Before writing, we quickly set up the centos cluster environment. Next, we will start building hadoop clusters. Lab EnvironmentHadoop version: CDH 5.7.0Here, I would like to say that we have not selected the official version because the CDH version has already solved the dep

Hadoop + Hbase cluster data migration

will not recognize the newly migrated table: ./Hbase hbck-fix./Hbase hbck-repairHoles Summary: (1) If there is a problem and you don't need to worry about it, you can search for a similar exception on google first. If not, you need to read the distcp documentation parameter on the official website, note that the document version and your hadoop version must be consistent. Otherwise, some parameters may be obsolete or not supported. (2) If an IO excep

"Basic Hadoop Tutorial" 7, one of Hadoop for multi-correlated queries

implementationDrive core code implementation as follows, detailed source please refer to: Companyjoinaddress\src\com\zonesion\tablejoin\companyjoinaddress.java.public static void Main (string[] args) throws Exception {configuration conf = new Configuration (); string[] Otherargs = new Genericoptionsparser (conf, args). Getremainingargs (); if (otherargs.length! = 3) {System.err.println ("Usage:company Join address 4. Deployment Run 1) Start the Hadoo

Hadoop cluster Building (2)

Purpose This article describes how to install, configure, and manage a meaningful hadoop cluster that can scale from a small cluster of several nodes to a large cluster of thousands of nodes. If you want to install Hadoop on a single machine, you can find the details here.

Hadoop 2.5.1 Cluster installation configuration

. starting HDFS5.5.1. formatting NameNode# HDFs Namenode-format5.5.1. starting HDFS. /opt/hadoop/hadoop-2.5.1/sbin/start-dfs.sh5.5.1. starting YARN. /opt/hadoop/hadoop-2.5.1/sbin/start-yarn.shSet the logger level to see the specific reasonExport Hadoop_root_logger=debug,consoleWindows->show view->other-> MapReduce tool

"Basic Hadoop Tutorial" 8, one of Hadoop for multi-correlated queries

implementationDrive core code implementation as follows, detailed source please refer to: Companyjoinaddress\src\com\zonesion\tablejoin\companyjoinaddress.java.public static void Main (string[] args) throws Exception {configuration conf = new Configuration (); string[] Otherargs = new Genericoptionsparser (conf, args). Getremainingargs (); if (otherargs.length! = 3) {System.err.println ("Usage:company Join address 4. Deployment Run 1) Start the Hadoo

Installing a single-node pseudo-distributed CDH Hadoop cluster

* /public void init (jobconf conf) throws IOException { setconf (conf); cluster = new cluster (conf); Clientugi = Usergroupinformation.getcurrentuser (); } This is still the jobclient of the MR1 era, in/usr/lib/hadoop-mapreduce/hadoop-mapreduce-client-core-2.0.0-cdh4.5.0.jar And/usr/lib/

Distributed Cluster Environment hadoop, hbase, and zookeeper (full)

1. Environment Description: The cluster environment requires at least three nodes (that is, three server devices): one Master and two Slave nodes. The nodes can be pinged to each other through the LAN, the following example shows how to configure the IP Address Allocation of a node: HostnameIP: create a user, and create a user password, master10.10.20.hadoop123456slave110.10.10.214. 1. Environment Description: The

The Linux server builds Hadoop cluster environment Redhat5/ubuntu 12.04

Setting up Hadoop cluster environment steps under Ubuntu 12.04I. Preparation before setting up the environment:My native Ubuntu 12.04 32bit as Maser, is the same machine that was used in the stand-alone version of the Hadoop environment, http://www.linuxidc.com/Linux/2013-01/78112.htmAlso in the KVM Virtual 4 machines, respectively named:Son-1 (Ubuntu 12.04 32bit

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