free hadoop cluster

Build a Hadoop Client-that is, access Hadoop from hosts outside the Cluster Build a Hadoop Client-that is, access Hadoop from hosts outside the Cluster 1. Add host ing (the same as namenode ing ): Add the last line [Root @ localho

Perform scala-version and the normal output indicates success. 3. Installing the Hadoop server Host Name IP Address Jdk User Master 10.116.33.109 1.8.0_65 Root Slave1 10.27.185.72 1.8.0_65 Root Slave2 10.25.203.67 1.8.0_65 Root Download address for Hadoop: http://hadoop.apache.org/ Configure the Hos

machines are configured to each other key-free key (abbreviated) Third, the Hadoop environment configuration:1. Select installation packageFor a more convenient and standardized deployment of the Hadoop cluster, we used the Cloudera integration package.Because Cloudera has done a lot of optimization on

Datanode nodemanager server: 192.168.1.100 192.168.1.101 192.168.1.102 Zookeeper server cluster (for namenode high-availability automatic failover): 192.168.1.100 192.168.1.101 Jobhistory server (used to record mapreduce logs): 192.168.1.1 NFS for namenode HA: 192.168.1.100 Environment deployment 1. Add the YUM repository to CDH4 1. the best way is to put the cdh4 package in the self-built yum warehouse. For how to build a self-built yum warehou

and need to work with active NN and standby NN report block information; Advantages: Information is not lost, recovery fast (seconds) Disadvantage: Facebook based on Hadoop0.2 development, the deployment of a little trouble; additional machine resources are required, and NFS becomes another single point (but with a low failure rate) of 4. Hadoop2.0 directly supports standby NN, draws on Facebook's avatar, and then makes some improvements: information is not lost, recovery is fast (seconds), sim

. Modify core-site.xml Modify hdfs-site.xml Modify mapred-site.xml 7) modify the hadoop/conf/hadoop-evn.xml file, where the jdk path is specified.Export JAVA_HOME =/usr/local/jdk 8) Modify/hadoop/conf/masters and slaves to negotiate the Virtual Machine name to let hadoop know the host and datanode

change the configuration, it is safe and easy to use when you start the cluster daemon to synchronize to all nodes.Export hadoop_slave_sleep = 0.1# Seconds to sleep between slave commands. unset by default. This# Can be useful in large clusters, where, e.g., slave rsyncs can# Otherwise arrive faster than the master can service them.# I don't know how it works, but it seems that at startup, the master node will take a

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)Confi

Apache Ambari is a Web-based tool that supports the supply, management, and monitoring of Apache Hadoop clusters. Ambari currently supports most Hadoop components, including HDFS, MapReduce, Hive, Pig, Hbase, Zookeper, Sqoop, and Hcatalog.Apache Ambari supports centralized management of HDFS, MapReduce, Hive, Pig, Hbase, Zookeper, Sqoop, and Hcatalog. It is also one of the five top-level

As a matter of fact, you can easily configure the distributed framework runtime environment by referring to the hadoop official documentation. However, you can write a little more here, and pay attention to some details, in fact, these details will be explored for a long time. Hadoop can run on a single machine, or you can configure a cluster to run on a single m

Preface:The configuration of a Hadoop cluster is a fully distributed Hadoop configuration.the author's environment:Linux:centos 6.6 (Final) x64Jdk:java Version "1.7.0_75"OpenJDK Runtime Environment (rhel-2.5.4.0.el6_6-x86_64 u75-b13)OpenJDK 64-bit Server VM (build 24.75-b04, Mixed mode)SSH:OPENSSH_5.3P1, OpenSSL 1.0.1e-fips 2013hadoop:hadoop-1.2.1steps:Note: the

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 no

Hadoop consists of two parts: Distributed File System (HDFS) Distributed Computing framework mapreduce The Distributed File System (HDFS) is mainly used for the Distributed Storage of large-scale data, while mapreduce is built on the Distributed File System to perform distributed computing on the data stored in the distributed file system. Describes the functions of nodes in detail. Namenode: 1. There is only one namenode in the

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 futu

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