Single Node Installation of Hadoop-2.x

Hi Hadoop observers,

This article is sharing you information about the simple installation of hadoop-2x single node. Install hadoop and start your analysis. Follow the steps clearly to get perfect hadoop to be installed in your machine


Hadoop download link
1. Download the Hadoop tar from below link. You can also take the link from Apache Hadoop Site. Below is the link for hadoop-2.6.0. Current Version is hadoop-2.6.0 as of writing this wiki(April 12, 2015). Please check for current version in the hadoop Site.

2. Download the Java from Oracle. Please Check for Oracle Website if the link is broken. Please check for current version in the Oracle Site.

3. Unpack the Comparisons
$tar -zxvf hadoop-2.6.0.tar.gz
$tar -zxf jdk1.7.0_60.tar.gz

4. Set JAVA PATH in Linux Environment. Edit .bashrc and add below 2 lines
$vi .bashrc
export JAVA_HOME=/home/bigdata/jdk1.7.0_60
export PATH=$HOME/bin:$JAVA_HOME/bin:$PATH

Execute the .bashrc File to make the changes in effect immediately for the current ssh session
$source .bashrc

5. As we know, Core hadoop is made up of 5 daemons viz. NameNode(NN), SecondaryNameNode(SN), DataNode(NN),ResourceManager(RM), NodeManager(NM). We need to modify the config files in the conf folder.Below are the files required for respective daemons.

NAMENODE core-site.xml
RESOURCE MANAGER mapred-site.xml
NODEMANAGER  slaves & yarn-site.xml

Ports used by Hadoop Daemons
Remote Procedure Call (RPC) is a protocol that one program can use to request a service from a program located in another computer in a network without having to understand network details.
WEB which is denoted in the table is the WEB port number.

Hadoop Daemons RPC Port WEB – UI
NameNode 50000(8020** – default) 50070
SecondaryNameNode 50090
DataNode 50010 50075
Resource Manager 8030 8088
Node Manager 8040 8042

$cd hadoop-2.6.0
Enter in to hadoop-2, now we need to configure the following configuration files. Apply the given properties for the denoted files.

$ vi etc/hadoop/core-site.xml
<!– This conf denotes the filesystem. Also which ip & port for NN to bind –>

$ vi etc/hadoop/yarn-site.xml

$ vi etc/hadoop/hdfs-site.xml
<!– Directory to store NameNode metadata–>

$ vi etc/hadoop/mapred-site.xml.template
<!– mapreduce to under YARN–>

$ vi etc/hadoop/
export JAVA_HOME=/home/bigdata/jdk1.7.0_60

$ vi etc/hadoop/
export JAVA_HOME=/home/bigdata/jdk1.7.0_60

$ vi etc/hadoop/
export JAVA_HOME=/home/bigdata/jdk1.7.0_60

$ vi etc/hadoop/slaves

Passwordless Authentication. If you use default script such as, and other similar scripts, it needs to log(using ssh) into other machines from the machine where you are running the script. Typically we run it from NN machine. While logging in, every machine will ask for passwords. If you are having 10 node cluster, you are needed to enter password minimum of 10. To avoid the same, we create passwordless authentication. First we need to generate the ssh key and copy the public key into authorized keys of the destination machine.

Below are the steps for the same 

Install the Openssh-server

$ sudo apt-get install openssh-server

Generate the ssh key

(manages and converts authentication keys)

$ cd
$ ssh-keygen -t rsa
$ cd .ssh
$ cat >> authorized_keys

Setup passwordless ssh to localhost and to slaves

$ ssh datadotz_node1(or) ipaddress
(Asking No Password )

Format Hadoop NameNode

$ cd hadoop-2.6.0
$ bin/hadoop namenode –format (Your Hadoop File System Ready)

Start All Hadoop Related Services

$ sbin/
(Starting Daemon’s For DFS & YARN)

Below command ‘Jps’ is for listing JVM processes on local and remote machines.
$ jps (Five Hadoop – java process status)
(Browse NameNode and Resource Manager Web GUI )

NameNode -http://datadotz_node1:50070/
Resource Manager -http://datadotz_node1:8088/

5.Stop All Hadoop and Yarn Related Services

$ sbin/


Article written by DataDotz Team

DataDotz is a Chennai based BigData Team primarily focussed on consulting and training on technologies such as Apache Hadoop, Apache Spark , NoSQL(HBase, Cassandra, MongoDB), Search and Cloud Computing.

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