Big Data 9 min read

Quickly Get Hadoop 2.0 Up and Running: A Minimal Configuration Guide

This article walks through the essential steps to install and configure Hadoop 2.0 on a two‑node Linux cluster, covering version selection, directory setup, core XML files, YARN settings, service startup, verification commands, and basic troubleshooting tips.

MaGe Linux Operations
MaGe Linux Operations
MaGe Linux Operations
Quickly Get Hadoop 2.0 Up and Running: A Minimal Configuration Guide

Overview

Hadoop 2.0 architecture differs from 1.0; configuration files are in a new directory and YARN must be configured. This guide provides the simplest configuration to get Hadoop 2.0 running quickly.

Prerequisites

Version: Hadoop‑2.2.0 (first stable Hadoop 2.0 release, 15 Oct 2013).

Two machines are used: one master (hadoop2-m1) and one slave (hadoop2-s1).

Installation Directory

Set HADOOP_HOME=/your/path/to/hadoop-2.2.0 and HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop.

Configuration Files

Edit the four XML files under $HADOOP_CONF_DIR:

core-site.xml

hdfs-site.xml

mapred-site.xml

yarn-site.xml

Set JAVA_HOME

export JAVA_HOME=/your/path/to/jdkdir

core-site.xml

<configuration>
  <property>
    <name>fs.defaultFS</name>
    <value>hdfs://hadoop2-m1:8020</value>
  </property>
  <property>
    <name>hadoop.tmp.dir</name>
    <value>/home/tmp/hadoop2.0</value>
  </property>
</configuration>

hdfs-site.xml

<configuration>
  <property>
    <name>dfs.replication</name>
    <value>1</value>
  </property>
  <property>
    <name>dfs.namenode.name.dir</name>
    <value>/home/dfs/name</value>
  </property>
  <property>
    <name>dfs.datanode.data.dir</name>
    <value>/home/dfs/data</value>
  </property>
  <property>
    <name>dfs.permissions</name>
    <value>false</value>
  </property>
</configuration>

mapred-site.xml

<configuration>
  <property>
    <name>mapreduce.framework.name</name>
    <value>yarn</value>
  </property>
</configuration>

yarn-site.xml

<configuration>
  <property>
    <name>yarn.resourcemanager.address</name>
    <value>hadoop2-m1:8032</value>
  </property>
  <property>
    <name>yarn.resourcemanager.scheduler.address</name>
    <value>hadoop2-m1:8030</value>
  </property>
  <property>
    <name>yarn.resourcemanager.resource-tracker.address</name>
    <value>hadoop2-m1:8031</value>
  </property>
  <property>
    <name>yarn.resourcemanager.admin.address</name>
    <value>hadoop2-m1:8033</value>
  </property>
  <property>
    <name>yarn.resourcemanager.webapp.address</name>
    <value>hadoop2-m1:8088</value>
  </property>
  <property>
    <name>yarn.resourcemanager.scheduler.class</name>
    <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
  </property>
  <property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
  </property>
  <property>
    <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
    <value>org.apache.hadoop.mapred.ShuffleHandler</value>
  </property>
</configuration>

Start Services

Format the namenode:

cd $HADOOP_HOME
bin/hdfs namenode -format

On the master start namenode and ResourceManager:

sbin/hadoop-daemon.sh start namenode
sbin/yarn-daemon.sh start resourcemanager

On the slave start datanode and NodeManager:

sbin/hadoop-daemon.sh start datanode
sbin/yarn-daemon.sh start nodemanager

Start proxy server and history server on the master:

sbin/yarn-daemon.sh start proxyserver
sbin/mr-jobhistory-daemon.sh start historyserver

Verification

Check the web UI at http://hadoop2-m1:50070/dfshealth.jsp and http://hadoop2-m1:8088/cluster/nodes.

Run HDFS commands to create a test directory and copy files, then run a sample MapReduce job:

bin/hdfs dfs -mkdir /test/input1
bin/hdfs dfs -put NOTICE.txt /test/input1/
bin/hdfs dfs -put README.txt /test/input1/
bin/hdfs dfs -cat /test/input1/NOTICE.txt
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.2.0.jar grep /test/input1 /test/output1 'code'

Tips

Perform the minimal configuration first to ensure Hadoop 2.0 starts correctly before adding advanced features such as HA or federation.

Reference

Apache Hadoop documentation:

http://hadoop.apache.org/docs/r2.2.0/hadoop-project-dist/hadoop-common/ClusterSetup.html
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Big DataLinuxMapReduceYARNHDFSHadoopCluster Setup
MaGe Linux Operations
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MaGe Linux Operations

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