Hadoop series HDFS (Distributed File System) installation and configurationEnvironment Introduction:IP node192.168.3.10 HDFS-Master192.168.3.11 hdfs-slave1192.168.3.12 hdfs-slave21. Add hosts to all machines192.168.3.10 HDFS-Master192.168.3.11 hdfs-slave1192.168.3.12 hdfs-slave2# Description// The host name cannot contain underscores or special symbols. Otherwise, many errors may occur.2. Configure SSH pass
Pseudo distribution mode:
Hadoop can run in pseudo-distributed mode on a single node. Different Java processes can be used to simulate various nodes in the distributed operation.
1. Install hadoop
Make sure that JDK and SSH are installed in the system.
1) on the official website download hadoop: http://hadoop.apache.org/I download here is the
CentOS Hadoop-2.2.0 cluster installation Configuration
For a person who just started learning Spark, of course, we need to set up the environment and run a few more examples. Currently, the popular deployment is Spark On Yarn. As a beginner, I think it is necessary to go through the Hadoop cluster installation and conf
工欲善其事, its prerequisite, don't say anything, Hadoop download: http://archive.cloudera.com/cdh5/cdh/5/Choose the appropriate version to start, in this article is about Installs the process around the hadoop-2.3.0-cdh5.1.2 version. (Installation environment for three Linux virtual machines built in VMware 10 ). 1,Hadoop
CentOS installation R integration Hadoop, RHive configuration installation manual
RHive is a package that uses HIVE high-performance queries to expand R computing capabilities. It can easily call HQL in the R environment, and can also use R objects and functions in Hive. Theoretically, the data processing capacity can be expanded infinitely on the Hive platform,
libsnappy.a-rwxr-xr-x 1 root root 953 7 11:56 libsnappy.lalrwxrwxrwx 1 root root 7 11:56 libsnappy.so libsnappy.so.1.2.1lrwxrwxrwx 1 root root 7 11:56 libsnappy.so.1-libsnappy.so.1.2.1-rwxr-xr-x 1 root root 147758 7 11:56 libsnappy.so.1.2.1It is assumed that no errors were encountered during the installation and that the/usr/local/lib folder has the above file indicating a successful installation
Fully Distributed Hadoop cluster installation in Ubantu 14.04
The purpose of this article is to teach you how to configure Hadoop's fully distributed cluster. In addition to completely distributed, there are two types: Single-node and pseudo-distributed deployment. Pseudo-distribution only requires one virtual machine, and there are relatively few configurations. Most of them are used for code debugging. Yo
CentOS-64bit to compile the Hadoop-2.5. source code, and distributed installation, centoshadoop
SummaryCentOS7-64bit compilation Hadoop-2.5.0 and distributed Installation
Directory
1. System Environment Description
2. Preparations before installation
2.1 disable Firewall
2.2
directory all users have permission to execute, the script here is generally the specific files in the cluster or the block pool operation commands, such as uploading files, view the use of the cluster and so on.
(2) in the ETC directory is stored in the 0.23.0 before the Conf directory of things, that is, Common, HDFs, MapReduce (yarn) configuration information.
(3) in the Include and Lib directories, a library of header files and links developed using the C language interface of
Note: The following installation steps are performed in the Centos6.5 operating system, and the installation steps are also suitable for other operating systems, such as students using Ubuntu and other Linux Operating system, just note that individual commands are slightly different. Note the actions of different user permissions, such as shutting down the firewall and requiring root privileges. A single
Note: This article has reference to this article, but because of some errors, so in the actual operation encountered a lot of trouble, so wrote this article for everyone to useFirst, prepare 1.1 to create a Hadoop usersudo useradd-m hadoop-s/bin/bash #创建hadoop用户, and use/bin/sudopasswd Hadoop sudosu
1 operating mode:Stand-alone Mode (standalone): standalone mode is the default mode for Hadoop. When the source package for Hadoop was first decompressed, Hadoop was unable to understand the hardware installation environment and conservatively chose the minimum configuration. In this default mode, all 3 XML files are e
I. INTRODUCTIONRefer to many tutorials on the web, and eventually install Hadoop in the ubuntu14.04 configuration successfully. The detailed installation steps are described below. The environment I use: two Ubuntu 14.04 64-bit desktops, Hadoop chooses the 2.7.1 version.Two. Prepare for work 2.1 Create a userTo create a user and add root permissions to it, it is
Trivial-hadoop 2.2.0 pseudo-distributed and fully distributed installation (centos6.4), centos6.4 installation tutorial
The environment is centos6.4-32, hadoop2.2.0
Pseudo distributed document: http://pan.baidu.com/s/1kTrAcWB
Fully Distributed documentation: http://pan.baidu.com/s/1hqIeBGw
It is somewhat different from 1.x, 0. x, especially yarn.
There is a
Note: The following installation steps are performed in the Centos6.5 operating system, and the installation steps are also suitable for other operating systems, such as having classmates using other Linux operating systems such as Ubuntu, just note that individual commands are slightly different.
Note the operation of different user rights, such as the shutdown firewall, the need to use root permissions.
T
Many new users have encountered problems with hadoop installation, configuration, deployment, and usage for the first time. This article is both a test summary and a reference for most beginners (of course, there are a lot of related information online ).
Hardware environmentThere are two machines in total, one (as a Masters), one machine uses the VM to install two systems (as slaves), and all three system
The content source of this page is from Internet, which doesn't represent Alibaba Cloud's opinion;
products and services mentioned on that page don't have any relationship with Alibaba Cloud. If the
content of the page makes you feel confusing, please write us an email, we will handle the problem
within 5 days after receiving your email.
If you find any instances of plagiarism from the community, please send an email to:
info-contact@alibabacloud.com
and provide relevant evidence. A staff member will contact you within 5 working days.