A few days ago, I summarized the hadoop distributed cluster installation process. Building a hadoop cluster is only a difficult step in learning hadoop. More knowledge is needed later, I don't know if I can stick to it or how many difficulties will be encountered in the future. However, I think that as long as I work hard, the difficulties will always be solved.
Fedora20 installation hadoop-2.5.1, hadoop-2.5.1
First of all, I would like to thank the author lxdhdgss. His blog article directly helped me install hadoop. Below is his revised version for jdk1.8 installed on fedora20.
Go to the hadoop official website to copy the link address (hadoop2.5.1 address http://mirrors.cnni
[Linux] [Hadoop] Run hadoop and linuxhadoop
The preceding installation process is to be supplemented. After hadoop installation is complete, run the relevant commands to run hadoop.
Run the following command to start all services:
hadoop@ubuntu:/usr/local/gz/
Hadoop Introduction
Hadoop is a software framework that can process large amounts of data in a distributed manner. Its basic components include the HDFS Distributed File System and the mapreduce programming model that can run on the HDFS file system, as well as a series of upper-layer applications developed based on HDFS and mapreduce.
HDFS is a distributed file system that stores large files in a network i
Why is the eclipse plug-in for compiling Hadoop1.x. x so cumbersome?
In my personal understanding, ant was originally designed to build a localization tool, and the dependency between resources for compiling hadoop plug-ins exceeds this goal. As a result, we need to manually modify the configuration when compiling with ant. Naturally, you need to set environment variables, set classpath, add dependencies, set the main function, javac, and jar configur
1. hadoop version Introduction
Configuration files earlier than version 0.20.2 (excluding this version) are in default. xml.
Versions later than 0.20.x do not include jar packages with Eclipse plug-ins. Because eclipse versions are different, you need to compile the source code to generate the corresponding plug-ins.
0.20.2 -- 0.22.x configuration files are concentrated inConf/core-site.xml,Conf/hdfs-site.xmlAndConf/mapred-site.xml..
In versi
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 devel
there is no interference between them too much.g) The first problem to solve are hardware failure:as soon as you start using many pieces of hardware, the chance that one Would fail is fairly high.The first problem to solve is a hardware failure problem: As long as you use a multi-part integrated device, there is a very high chance that one of the parts will fail.h) The second problem is a most analysis of the tasks need to being able to combine the data in some a, and data read from one Disk ma
1. Introduction to Hadoop versionConfiguration files that were previously in the 0.20.2 version (without this version) are in Default.xml.The 0.20.x version does not contain the Eclipse plug-in jar package, because the eclipse version is different, so you need to compile the source code to generate the corresponding plug-in.The 0.20.2--0.22.x version of the configuration file is centralized in conf/core-site.xml, conf/hdfs-site.xml , and conf/mapred-s
01_note_hadoop introduction of source and system; Hadoop cluster; CDH FamilyUnzip Tar Package Installation JDK and environment variable configurationTAR-XZVF jdkxxx.tar.gz to/usr/app/(custom app to store the app after installation)Java-version View current system Java version and environmentRpm-qa | grep Java View installation packages and dependenciesYum-y remove xxxx (remove grep out of each package)Configure the environment variable/etc/profile, an
Hadoop Core Project: HDFS (Hadoop Distributed File System distributed filesystem), MapReduce (Parallel computing framework)The master-slave structure of the HDFS architecture: The primary node, which has only one namenode, is responsible for receiving user action requests, maintaining the directory structure of the file system, managing the relationship between the file and the block, and the relationship b
Single-machine mode requires minimal system resources, and in this installation mode, Hadoop's Core-site.xml, Mapred-site.xml, and hdfs-site.xml configuration files are empty. By default, the official hadoop-1.2.1.tar.gz file uses the standalone installation mode by default. When the configuration file is empty, Hadoop runs completely locally, does not interact with other nodes, does not use the
1. Create a userAddUser HDUserTo modify HDUser user rights:sudo vim/ect/sudoers, add HDUser all= (All:all) all in the file. 2. Install SSH and set up no password login1) sudo apt-get install Openssh-server2) Start service: SUDO/ETC/INIT.D/SSH start3) Check that the service is started correctly: Ps-e | grep ssh 4) Set password-free login, generate private key and public keySsh-keygen-t rsa-p ""Cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys 5) Password-free login: ssh localhost6) Exit3. Config
The first 2 blog test of Hadoop code when the use of this jar, then it is necessary to analyze the source code.
It is necessary to write a wordcount before analyzing the source code as follows
Package mytest;
Import java.io.IOException;
Import Java.util.StringTokenizer;
Import org.apache.hadoop.conf.Configuration;
Import Org.apache.hadoop.fs.Path;
Import org.apache.hadoop.io.IntWritable;
Import Org.apache.hadoop.io.Text;
Import Org.apache.hadoop.map
This article records how to install VirtualBox4.3 on a newly installed CentOS6.2 Linux system
1, change yum configurationPython
The code is as follows
Copy Code
[Root@itchenyi ~]# cd/etc/yum.repos.d/[Root@itchenyi yum.repos.d]# wget Http://download.virtualbox.org/virtualbox/rpm/rhel/virtualbox.repo--2014-01-27 11:46:24--Http://download.virtualbox.org/virtualbox/rpm/rhel/virtualb
Hadoop uses Eclipse in Windows 7 to build a Hadoop Development Environment
Some of the websites use Eclipse in Linux to develop Hadoop applications. However, most Java programmers are not so familiar with Linux systems. Therefore, they need to develop Hadoop programs in Windows, it summarizes how to use Eclipse in Wind
Although I have installed a Cloudera CDH cluster (see http://www.cnblogs.com/pojishou/p/6267616.html for a tutorial), I ate too much memory and the given component version is not optional. If only to study the technology, and is a single machine, the memory is small, or it is recommended to install Apache native cluster to play, production is naturally cloudera cluster, unless there is a very powerful operation.I have 3 virtual machine nodes this time. Each gave 4G, if the host memory 8G, can ma
I. Introduction of Phpvirtualbox VirtualBox is a set of x86 virtualization products for different operating systems. It is a machine/hardware virtualization product that is functionally similar to VMware Server, Parallels Workstation, QEMU, KVM, and Xen, and supports a variety of guest operating systems, including Windows. Its supporters claim that it is "the only professional solution under the GNU general public License (GPL) that is free from open
Recently, hadoop was developed on Linux, so I installed a virtualbox virtual machine and installed a centOS system on the virtual machine. Linux is installed, but network configuration is another headache. I mainly want to allow the host machine and virtual machine to access each other. Then I went to Baidu and configured it step by step based on Baidu's results.
Recently,
This article details how to build a Hadoop project and run it through Mvn+eclipse in the Windows development environment
Required environment
Windows7 operating System
eclipse-4.4.2
mvn-3.0.3 and build the project schema with MVN (see http://blog.csdn.net/tang9140/article/details/39157439)
hadoop-2.5.2 (directly on the Hadoop website htt
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