How to Setup Hadoop Multi-Node Cluster on Ubuntu

In this tutorial, we will learn how to setup a multi-node hadoop cluster on Ubuntu 16.04. A hadoop cluster which has more than 1 datanode is a multi-node hadoop cluster, hence, the goal of this tutorial is to get 2 datanodes up and running.

1) Prerequisites

• Ubuntu 16.04
• Hadoop-2.7.3
• Java 7
• SSH

For this tutorial, I have two ubuntu 16.04 systems, I call them master and slave system, one datanode will be running on each system.

IP address of Master -> 192.168.1.37

IP address of Slave -> 192.168.1.38

On Master

Edit hosts file with master and slave ip address.

sudo gedit /etc/hosts

Edit the file as below, you may remove other lines in the file. After editing save the file and close it.

On Slave

Edit hosts file with master and slave ip address.

sudo gedit /etc/hosts

Edit the file as below, you may remove other lines in the file. After editing save the file and close it.

2) Java Installation

Before setting up hadoop, you need to have java installed on your systems. Install open JDK 7 on both ubuntu machines using below commands.

sudo add-apt-repository ppa:openjdk-r/ppa

sudo apt-get update

do apt-get install openjdk-7-jdk

Run below command to see if java got installed on your system.

java -version

By default java gets stored on /usr/lib/jvm/ directory.

ls /usr/lib/jvm

Set Java path in .bashrc file.

sudo gedit .bashrc

export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64

export PATH=$PATH:/usr/lib/jvm/java-7-openjdk-amd64/bin

Run below command to update the changes made in .bashrc file.

source .bashrc

3) SSH

Hadoop requires SSH access to manage its nodes, therefore we need to install ssh on both master and slave systems.

sudo apt-get install openssh-server</pre


Now, we have to generate an SSH key on master machine. When it asks you to enter a file name to save the key, do not give any name, just press enter.

ssh-keygen -t rsa -P ""

Second, you have to enable SSH access to your master machine with this newly created key.

cat $HOME/.ssh/id_rsa.pub >> $HOME/.ssh/authorized_keys

Now test the SSH setup by connecting to your local machine.

ssh localhost

Now run the below command to send the public key generated on master to slave.

ssh-copy-id -i $HOME/.ssh/id_rsa.pub ubuntu@slave

Now that both master and slave have the public key, you can connect master to master and master to slave as well.

ssh master

ssh slave

On Master

Edit the masters file as below.

sudo gedit hadoop-2.7.3/etc/hadoop/masters

Edit the slaves file as below.

sudo gedit hadoop-2.7.3/etc/hadoop/slaves

On Slave

Edit the masters file as below.

sudo gedit hadoop-2.7.3/etc/hadoop/masters

4) Hadoop Installation

Now that we have our java and ssh setup ready. We are good to go and install hadoop on both the systems. Use below link to download hadoop package. I am using the latest stable version hadoop 2.7.3

http://hadoop.apache.org/releases.html

On Master

Below command will download hadoop-2.7.3 tar file.

wget https://archive.apache.org/dist/hadoop/core/hadoop-2.7.3/hadoop-2.7.3.tar.gz

ls

Untar the file

tar -xvf hadoop-2.7.3.tar.gz

ls

Confirm that hadoop has got installed on your system.

cd hadoop-2.7.3/
bin/hadoop-2.7.3/

Before setting configurations for hadoop, we will set below environment variables in .bashrc file.

cd
sudo gedit .bashrc

Hadoop environment Variables

# Set Hadoop-related environment variables 

 

export HADOOP_HOME=$HOME/hadoop-2.7.3

export HADOOP_CONF_DIR=$HOME/hadoop-2.7.3/etc/hadoop

export HADOOP_MAPRED_HOME=$HOME/hadoop-2.7.3 

export HADOOP_COMMON_HOME=$HOME/hadoop-2.7.3 

export HADOOP_HDFS_HOME=$HOME/hadoop-2.7.3

export YARN_HOME=$HOME/hadoop-2.7.3

# Add Hadoop bin/ directory to PATH 

export PATH=$PATH:$HOME/hadoop-2.7.3/bin

Put below lines at the end of your .bashrc file, save the file and close it.

source .bashrc

Configure JAVA_HOME in ‘hadoop-env.sh’. This file specifies environment variables that affect the JDK used by Apache Hadoop 2.7.3 daemons started by the Hadoop start-up scripts:

cd hadoop-2.7.3/etc/hadoop/

sudo gedit hadoop-env.sh

export JAVA_HOME=/usr/lib/jvm/java-7-openjdk-amd64 

Set the java path as shown above, save the file and close it.

Now we will create NameNode and DataNode directories.

cd

mkdir -p $HADOOP_HOME/hadoop2_data/hdfs/namenode

mkdir -p $HADOOP_HOME/hadoop2_data/hdfs/datanode

Hadoop has many of configuration files, which need to configured as per requirements of your hadoop infrastructure. Let us configure hadoop configuration files one by one.

cd hadoop-2.7.3/etc/hadoop/

sudo gedit core-site.xml

Core-site.xml

<configuration>

<property>

<name>fs.defaultFS</name>

<value>hdfs://master:9000</value>

</property>

</configuration>

sudo gedit hdfs-site.xml

hdfs-site.xml

<configuration>

<property>

<name>dfs.replication</name>

<value>2</value>

</property>

<property>

<name>dfs.permissions</name>

<value>false</value>

</property>

<property>

<name>dfs.namenode.name.dir</name>

<value>/home/ubuntu/hadoop-2.7.3/hadoop2_data/hdfs/namenode</value>

</property>

<property>

<name>dfs.datanode.data.dir</name>

<value>/home/ubuntu/hadoop-2.7.3/hadoop2_data/hdfs/datanode</value>

</property>

</configuration>

sudo gedit yarn-site.xml

yarn-site.xml

<configuration>

<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>

cp mapred-site.xml.template mapred-site.xml

sudo gedit mapred-site.xml

mapred-site.xml

<configuration>

<property>

<name>mapreduce.framework.name</name>

<value>yarn</value>

</property>

</configuration>

Now follow the same hadoop installation and configuring steps on slave machine as well. After you have hadoop installed and configured on both the systems, the first thing in starting up your hadoop cluster is formatting the hadoop file-system, which is implemented on top of the local file-systems of your cluster. This is required at the first time of hadoop installation. Do not format a running hadoop file-system, this will erase all your HDFS data.

On Master

cd

cd hadoop-2.7.3/bin

hadoop namenode -format

We are now ready to start the hadoop daemons i.e. NameNode, DataNode, ResourceManager and NodeManager on our Apache Hadoop Cluster.

cd ..

Now run the below command to start the NameNode on master machine and DataNodes on master and slave.

sbin/start-dfs.sh

Below command will start YARN daemons, ResourceManager will run on master and NodeManagers will run on master and slave.

sbin/start-yarn.sh

Cross check that all the services have started correctly using JPS (Java Process Monitoring Tool). on both master and slave machine.

Below are the daemons running on master machine.

jps

On Slave

You will see DataNode and NodeManager will be running on slave machine also.

jps

Now open you mozilla browser on master machine and go to below URL

Check the NameNode status:  http://master:50070/dfshealth.html

If you see '2' in live nodes, that means 2 DataNodes are up and running and you have successfully setup a multi-node hadoop culster.

Conclusion

You can add more nodes to your hadoop cluster, all you need to do is add the new slave node ip to slaves file on master, copy ssh key to new slave node, put master ip in masters file on new slave node and then restart the hadoop services. Congratulations!! You have successfully setup a multi-node hadoop cluster.