Installing Hadoop in Local

Apache Hadoop 2.6 significant improvements over the previous stable 2.X.Y releases. This version has many improvements in HDFS and MapReduce. This how to guide will help you to install Hadoop 2.6 on CentOS/RHEL 7/6/5 and Ubuntu System. This article doesn’t includes overall configuration of hadoop, we have only basic configuration required to start working with hadoop. Hadoop on Linux

Step 1: Installing Java

Java is the primary requirement for running hadoop on any system, So make sure you have Java installed on your system using following command.

# java -version 

java version "1.8.0_31"
Java(TM) SE Runtime Environment (build 1.8.0_31-b13)
Java HotSpot(TM) 64-Bit Server VM (build 25.31-b07, mixed mode)

If you don’t have Java installed on your system, use one of following step to install it first.

Downloading Latest Java Archive

Download latest Java SE Development Kit 8 release from its official download page or use following commands to download from shell.

For 64Bit

# cd /opt/
# wget --no-cookies --no-check-certificate --header "Cookie:; oraclelicense=accept-securebackup-cookie" ""

# tar xzf jdk-8u45-linux-x64.tar.gz

For 32Bit

# cd /opt/
# wget --no-cookies --no-check-certificate --header "Cookie:; oraclelicense=accept-securebackup-cookie" ""

# tar xzf jdk-8u45-linux-i586.tar.gz

Install Java with Alternatives

After extracting archive file use alternatives command to install it. alternatives command is available in chkconfig package.

# cd /opt/jdk1.8.0_45/
# alternatives --install /usr/bin/java java /opt/jdk1.8.0_45/bin/java 2
# alternatives --config java

There are 3 programs which provide 'java'.

  Selection    Command
*  1           /opt/jdk1.7.0_71/bin/java
 + 2           /opt/jdk1.8.0_25/bin/java
   3           /opt/jdk1.8.0_45/bin/java

Enter to keep the current selection[+], or type selection number: 3

At this point JAVA 8 has been successfully installed on your system. We also recommend to setup javac and jar commands path using alternatives

# alternatives --install /usr/bin/jar jar /opt/jdk1.8.0_45/bin/jar 2
# alternatives --install /usr/bin/javac javac /opt/jdk1.8.0_45/bin/javac 2
# alternatives --set jar /opt/jdk1.8.0_45/bin/jar
# alternatives --set javac /opt/jdk1.8.0_45/bin/javac 

Configuring Environment Variables

Most of java based application’s uses environment variables to work. Set the Java environment variables using following commands

  • Setup JAVA_HOME Variable
# export JAVA_HOME=/opt/jdk1.8.0_45
  • Setup JRE_HOME Variable
# export JRE_HOME=/opt/jdk1.8.0_45/jre
  • Setup PATH Variable
# export PATH=$PATH:/opt/jdk1.8.0_45/bin:/opt/jdk1.8.0_45/jre/bin


Step 2: Creating Hadoop User

We recommend to create a normal (nor root) account for hadoop working. So create a system account using following command.

# useradd hadoop
# passwd hadoop

After creating account, it also required to set up key based ssh to its own account. To do this use execute following commands.

# su - hadoop
$ ssh-keygen -t rsa
$ cat ~/.ssh/ >> ~/.ssh/authorized_keys
$ chmod 0600 ~/.ssh/authorized_keys

Lets verify key based login. Below command should not ask for password but first time it will prompt for adding RSA to the list of known hosts.

$ ssh localhost
$ exit

Step 3. Downloading Hadoop 2.6.0

Now download hadoop 2.6.0 source archive file using below command. You can also select alternate download mirror for increasing download speed.

$ cd ~
$ wget
$ tar xzf hadoop-2.6.0.tar.gz
$ mv hadoop-2.6.0 hadoop

Step 4. Configure Hadoop Pseudo-Distributed Mode

4.1. Setup Environment Variables

First we need to set environment variable uses by hadoop. Edit ~/.bashrc file and append following values at end of file.

export HADOOP_HOME=/home/hadoop/hadoop

Now apply the changes in current running environment

$ source ~/.bashrc

Now edit $HADOOP_HOME/etc/hadoop/ file and set JAVA_HOME environment variable

export JAVA_HOME=/opt/jdk1.8.0_31/

4.2. Edit Configuration Files

Hadoop has many of configuration files, which need to configure as per requirements of your hadoop infrastructure. Lets start with the configuration with basic hadoop single node cluster setup. first navigate to below location

$ cd $HADOOP_HOME/etc/hadoop

Edit core-site.xml


Edit hdfs-site.xml




Edit mapred-site.xml


Edit yarn-site.xml


4.3. Format Namenode

Now format the namenode using following command, make sure that Storage directory is

$ hdfs namenode -format

Sample output:

15/02/04 09:58:43 INFO namenode.NameNode: STARTUP_MSG:
STARTUP_MSG: Starting NameNode
STARTUP_MSG:   host =
STARTUP_MSG:   args = [-format]
STARTUP_MSG:   version = 2.6.0
15/02/04 09:58:57 INFO common.Storage: Storage directory /home/hadoop/hadoopdata/hdfs/namenode has been successfully formatted.
15/02/04 09:58:57 INFO namenode.NNStorageRetentionManager: Going to retain 1 images with txid >= 0
15/02/04 09:58:57 INFO util.ExitUtil: Exiting with status 0
15/02/04 09:58:57 INFO namenode.NameNode: SHUTDOWN_MSG:
SHUTDOWN_MSG: Shutting down NameNode at

Step 5. Start Hadoop Cluster

Lets start your hadoop cluster using the scripts provides by hadoop. Just navigate to your hadoop sbin directory and execute scripts one by one.

$ cd $HADOOP_HOME/sbin/

Now run script.


Sample output:

15/02/04 10:00:34 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
Starting namenodes on [localhost]
localhost: starting namenode, logging to /home/hadoop/hadoop/logs/
localhost: starting datanode, logging to /home/hadoop/hadoop/logs/
Starting secondary namenodes []
The authenticity of host ' (' can't be established.
RSA key fingerprint is 3c:c4:f6:f1:72:d9:84:f9:71:73:4a:0d:55:2c:f9:43.
Are you sure you want to continue connecting (yes/no)? yes Warning: Permanently added '' (RSA) to the list of known hosts. starting secondarynamenode, logging to /home/hadoop/hadoop/logs/
15/02/04 10:01:15 WARN util.NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable

Now run script.


Sample output:

starting yarn daemons
starting resourcemanager, logging to /home/hadoop/hadoop/logs/
localhost: starting nodemanager, logging to /home/hadoop/hadoop/logs/

Step 6. Access Hadoop Services in Browser

Hadoop NameNode started on port 50070 default. Access your server on port 50070 in your favorite web browser.


Now access port 8088 for getting the information about cluster and all applications


Access port 50090 for getting details about secondary namenode.


Access port 50075 to get details about DataNode



Step 7. Test Hadoop Single Node Setup

7.1 – Make the HDFS directories required using following commands.

$ bin/hdfs dfs -mkdir /user
$ bin/hdfs dfs -mkdir /user/hadoop

7.2 – Now copy all files from local file system /var/log/httpd to hadoop distributed file system using below command

$ bin/hdfs dfs -put /var/log/httpd logs

7.3 – Now browse hadoop distributed file system by opening below url in browser.


7.4 – Now copy logs directory for hadoop distributed file system to local file system.

$ bin/hdfs dfs -get logs /tmp/logs
$ ls -l /tmp/logs/

Source :

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