hadoop virtualbox

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Copy the Virtual Machine in VirtualBox.

Copy the Virtual Machine in VirtualBox.A simple copy of a virtual machine does not work. The copy process requires a small trick. The copied VDI file cannot be registered in the virtual Media Manager, because each VDI file has a unique uuid, virtualBox does not allow registration of duplicate uuid. To build a hadoop platform, you need to install another virtual machine, but you have already installed it onc

Hadoop 2.7.2 (hadoop2.x) uses Ant to make Eclipse Plug-ins Hadoop-eclipse-plugin-2.7.2.jar

Previously introduced me in Ubuntu under the combination of virtual machine Centos6.4 build hadoop2.7.2 cluster, in order to do mapreduce development, to use eclipse, and need the corresponding Hadoop plugin Hadoop-eclipse-plugin-2.7.2.jar, first of all, in the official Hadoop installation package before hadoop1.x with Eclipse Plug-ins, And now with the increase

[Hadoop] Step-by-step Hadoop (standalone mode) on Ubuntu system

1 Creating Hadoop user groups and Hadoop users  STEP1: Create a Hadoop user group:~$ sudo addgroup Hadoop  STEP2: Create a Hadoop User:~$ sudo adduser-ingroup Hadoop hadoopEnter the password when prompted, this is the new

The path to Hadoop learning (i)--hadoop Family Learning Roadmap

The main introduction to the Hadoop family of products, commonly used projects include Hadoop, Hive, Pig, HBase, Sqoop, Mahout, Zookeeper, Avro, Ambari, Chukwa, new additions include, YARN, Hcatalog, O Ozie, Cassandra, Hama, Whirr, Flume, Bigtop, Crunch, hue, etc.Since 2011, China has entered the era of big data surging, and the family software, represented by Hadoop

Hadoop-0.20.2 installation Configuration

Tags: hadoop Summary: This article describes how to install three Ubuntu virtual machines in virtualbox, build a hadoop environment, and finally run the wordcount routine in hadoop's built-in example. 1. Lab Environment Virtualbox version: 4.3.2 r90405 Ubuntu virtual machine version: ubuntu11.04 Ubuntu Virtua

Hadoop is simplified-from installing Linux to building a clustered environment

Xshell, XftpUsing VirtualBox login, uploading files will be more troublesome, using Xshell remote login.   Upload files using xftp.    Upload hadoop-2.7.3.tar.gz, jdk-8u91-linux-x64.rpm to/usr/local directory. Novice tip: In the right window, select the/usr/local directory, the left double-click the compression package on the upload succeeded.Configuring the Hadoop

"Basic Hadoop Tutorial" 5, Word count for Hadoop

Word count is one of the simplest and most well-thought-capable programs, known as the MapReduce version of "Hello World", and the complete code for the program can be found in the Src/example directory of the Hadoop installation package. The main function of Word counting: count the number of occurrences of each word in a series of text files, as shown in. This blog will be through the analysis of WordCount source code to help you to ascertain the ba

In Windows Remote submit task to Hadoop cluster (Hadoop 2.6)

I built a Hadoop2.6 cluster with 3 CentOS virtual machines. I would like to use idea to develop a mapreduce program on Windows7 and then commit to execute on a remote Hadoop cluster. After the unremitting Google finally fixI started using Hadoop's Eclipse plug-in to execute the job and succeeded, and later discovered that MapReduce was executed locally and was not committed to the cluster at all. I added 4 configuration files for

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

We all know that an address has a number of companies, this case will be two types of input files: address classes (addresses) and company class (companies) to do a one-to-many association query, get address name (for example: Beijing) and company name (for example: Beijing JD, Beijing Associated information for Red Star).Development environmentHardware environment: Centos 6.5 server 4 (one for master node, three for slave node)Software Environment: Java 1.7.0_45,

Hadoop Learning Notes (vii)--HADOOP weather data Run in the authoritative guide

1) HDFs File System Preparation workA) # Hadoop fs–ls/user/root #查看hdfs文件系统b) # Hadoop fs-rm/user/root/output02/part-r-00000c) Delete the document, delete the folderd) # Hadoop fs-rm–r/user/root/output02e) # Hadoop fs–mkdir–p INPUT/NCDCf) Unzip the input file and Hadoop does

Ubuntu 14.04 LTS installed on the deployment of Hadoop 2.7.1

1. Install Ubuntu 14.04 Desktop LTS Download the ISO file, Ubuntu-14.04.1-desktop-amd64.iso. Create a new virtual machine in VirtualBox or VMware and set the ISO file as the startup disc. Install Ubuntu 14.04 http://www.linuxidc.com/Linux/2014-04/100473.htm under Windows 7 with VMware Workstation 10 virtual machines Next, enter the user name LINUXIDC where you want to enter the user, until the system installation is complete. Restar

Install Hadoop fully distributed (Ubuntu12.10) and Hadoop Ubuntu12.10 in Linux

Install Hadoop fully distributed (Ubuntu12.10) and Hadoop Ubuntu12.10 in Linux Hadoop installation is very simple. You can download the latest versions from the official website. It is best to use the stable version. In this example, three machine clusters are installed. The hadoop version is as follows:Tools/Raw Mater

Hadoop learning notes (9): How to remotely connect to hadoop for program development using eclipse on Windows

Hadoop is mainly deployed and applied in the Linux environment, but the current public's self-knowledge capabilities are limited, and the work environment cannot be completely transferred to the Linux environment (of course, there is a little bit of selfishness, it's really a bit difficult to use so many easy-to-use programs in Windows in Linux-for example, quickplay, O (always _ success) O ~), So I tried to use eclipse to remotely connect to

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

We all know that an address has a number of companies, this case will be two types of input files: address classes (addresses) and company class (companies) to do a one-to-many association query, get address name (for example: Beijing) and company name (for example: Beijing JD, Beijing Associated information for Red Star).Development environmentHardware environment: Centos 6.5 server 4 (one for master node, three for slave node)Software Environment: Java 1.7.0_45,

Some Hadoop facts that programmers must know and the Hadoop facts of programmers

Some Hadoop facts that programmers must know and the Hadoop facts of programmers The programmer must know some Hadoop facts. Now, no one knows about Apache Hadoop. Doug Cutting, a Yahoo search engineer, developed this open-source software to create a distributed computer environment ...... 1:

Hadoop Learning Note -6.hadoop Eclipse plugin usage

Opening : Hadoop is a powerful parallel software development framework that allows tasks to be processed in parallel on a distributed cluster to improve execution efficiency. However, it also has some shortcomings, such as coding, debugging Hadoop program is difficult, such shortcomings directly lead to the entry threshold for developers, the development is difficult. As a result, HADOP developers have deve

Hadoop Learning notes: A brief analysis of Hadoop file system

1. What is a distributed file system?A file system that is stored across multiple computers in a management network is called a distributed file system.2. Why do I need a distributed file system?The simple reason is that when the size of a dataset exceeds the storage capacity of a single physical computer, it is necessary to partition it (partition) and store it on several separate computers.3. Distributed systems are more complex than traditional file systemsBecause the Distributed File system

Hadoop Learning notes: A brief analysis of Hadoop file system

1. What is a distributed file system?A file system that is stored across multiple computers in a management network is called a distributed file system.2. Why do I need a distributed file system?The simple reason is that when the size of a dataset exceeds the storage capacity of a single physical computer, it is necessary to partition it (partition) and store it on several separate computers.3. Distributed systems are more complex than traditional file systemsBecause the Distributed File system

Hadoop learning notes: Analysis of hadoop File System

1. What is a distributed file system? A file system stored across multiple computers in a management network is called a distributed file system. 2. Why do we need a distributed file system? The reason is simple. When the data set size exceeds the storage capacity of an independent physical computer, it is necessary to partition it and store it on several independent computers. 3. distributed systems are more complex than traditional file systems Because the Distributed File System arc

Second, Hadoop pseudo-distributed construction

Environment Virtual machine: VirtualBox ubuntu:14.04 hadoop:2.6 installation 1. Create a Hadoop user sudo useradd-m hadoop-s/bin/bash "Ubuntu terminal copy and paste shortcut keys" "In the Ubuntu Terminal window, the copy and paste shortcuts need to be added with shift, that is, paste is ctrl+shift+v. 】 Use the follow

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