hadoop cluster tutorial

configured for yarn13, modify the Etc/hadoop/yarn-site.xml configuration file, add the following information.VI Yarn-site.xmlin order to be able to run MapReduce program, we need to get . Nodemanger Load at startup Shuffle . So the following settings are required14, modify the Etc/hadoop/slaves, add the following information. That is, slaves fileVI Slavesis now a pseudo-distributed single-node

the/home/jiaan.gja directory and configure the Java environment variable with the following command:CD ~vim. Bash_profileAdd the following to the. Bash_profile:Immediately let the Java environment variable take effect, execute the following command:source. bash_profileFinally verify that the Java installation is properly configured:Host because I built a Hadoop cluster containing three machines, I need to

Directory structure: Hadoop cluster (CDH4) practices (0) preface Hadoop cluster (CDH4) Practices (1) Hadoop (HDFS) Build Hadoop cluster (CDH4) practices (2) build

ambari server Service on the master node of ambari master. Service ambari start and then open it in the browser Http: // AMBARIMASTER/hmc/html/address To install the cluster, the root user's SSH Private Key File in the ambari master node is required. The path is/root/. ssh/id_rsa. Then, all the hostnames of the Server Load balancer nodes to be installed are separated into files by one row. After selecting a file on the page, you can install it. It ta

Install and configure Sqoop for MySQL in the Hadoop cluster environment, Sqoop is a tool used to transfer data from Hadoop to relational databases. It can import data from a relational database (such as MySQL, Oracle, and S) into Hadoop HDFS, you can also import HDFS data to a relational database. One of the highlights

Introduction to Hadoop Hadoop is an open source distributed computing platform owned by the Apache Software Foundation. With Hadoop Distributed File System (Hdfs,hadoop distributed filesystem) and MapReduce (Google MapReduce's Open source implementation) provides the user with a distributed infrastructure that is trans

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

. -Configuration> Property> name>Fs.default.namename> value>hdfs://localhost:9000value> Property> Property> name>Hadoop.tmp.dirname> value>/home/hadoop/hadoop_tmpvalue> Description>A base for other temporary directories.Description> Property>Configuration>Hdfs-site.xml:XML version= "1.0"?>xml-stylesheet type= "text/xsl" href= "configuration.xsl "?>Put Site-specific property overri

Directory structure: Hadoop cluster (CDH4) practices (0) preface Hadoop cluster (CDH4) Practices (1) Hadoop (HDFS) Build Hadoop cluster (CDH4) practices (2) build

Use yum source to install the CDH Hadoop Cluster This document mainly records the process of using yum to install the CDH Hadoop cluster, including HDFS, Yarn, Hive, and HBase.This article uses the CDH5.4 version for installation, so the process below is for the CDH5.4 version.0. Environment Description System Environm

parameter fs. checkpoint. dir; Copy the file in namesecondary to fs. checkpoint. dir; ./Hadoop namenode-importCheckpoint; Start NameNode and add-importCheckpoint. (This sentence is plagiarized with hadoop-0.20.2/hadoop-0.20.2/docs/cn/hdfs_user_guide.html # Secondary + NameNode, look at the documentation, There are instructions) 3.

space) Now, after jkd is installed, configure the environment variables below 4.3 open/etc/profile (vim/etc/profile) Add the following content at the end: JAVA_HOME =/usr/java/jdk1.7.0 _ 40 (the version number 1.7.40 must be modified based on the download details) CLASSPATH =.: $ JAVA_HOME/lib. tools. jar PATH = $ JAVA_HOME/bin: $ PATH Export JAVA_HOMECLASSPATH PATH 4.4. source/etc/profile 4.5 verify whether the installation is successful: java-version [Note] Each machine performs the

(MR1: 12-24 1-4 TB hard drive (batch disks) 2 quad-/hex-/octo-core CPUs, running at least 2-2.5 GHz 64-512 GB of RAM (memory) Bind Gigabit Ethernet (Gigabit network, more storage density, requiring higher network input) Standard configuration specifications for NameNode/JobTracker (MR1) in a Hadoop cluster: 3-6 1 TB hard disks (batch disks) 2 quad-/hex-/octo-core CPUs, running at least 2-2.5 GH

installation and deployment notes-HBase full distribution mode installation Detailed tutorial on creating HBase environment for standalone Edition Reference documentation (hortonworks will be short for hdp; cloudera is cdh ): 1. Create a system template. Because I found the centos6.5 template in openvz, we tried to keep it consistent with production in the test environment, so we should use CentOS6.3, note automatically according to the official docu

/download/lzo-2.04.tar.gz Tar-zxvf lzo-2.04.tar.gz ./Configure -- Enable-Shar Ed Make Make install Library files are installed in the/usr/local/lib directory by default. Any of the following operations is required: A. Copy the lzo library in the/usr/local/lib directory to/usr/lib [/usr/lib64] According to the system's decision. B. Create the lzo. conf file under the/etc/ld. so. conf. d/directory, write the path of the file into the database, and run/sbin/ldconfig-v to make the configu

development end, which is very convenient to use. In fact, this operation method is very applicable and common in the hadoop "linux-based" cluster "environment, not just integration testing, including project deployment, services can be started in this way. In practice, the development efficiency can be greatly improved and the effect is good. Build a Hadoop en

configuration basically ends;Modify the sixth configuration file: VI SlavesThe modified content is your own host name:9: Check the status of the firewall under Ubuntu and turn off the firewall:Shown is to turn off the firewall, view the status of the firewall, start the firewall and view the state of the firewall;10: In order to perform Hadoop commands conveniently, also configure the environment variables of Had