Test-Hadoop

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

There are two ways to install Hadoop, i.e. Single node and Multi node.

Single node cluster means only one DataNode running and setting up all the NameNode, DataNode, ResourceManager and NodeManager on a single machine. This is used for studying and testing purposes. For example, let us consider a sample data set inside a healthcare industry. So, for testing whether the Oozie jobs have scheduled all the processes like collecting, aggregating, storing and processing the data in a proper sequence, we use single node cluster. It can easily and efficiently test the sequential workflow in a smaller environment as compared to large environments which contains terabytes of data distributed across hundreds of machines.

While in a Multi node cluster, there are more than one DataNode running and each DataNode is running on different machines. The multi node cluster is practically used in organizations for analyzing Big Data. Considering the above example, in real time when we deal with petabytes of data, it needs to be distributed across hundreds of machines to be processed. Thus, here we use multi node cluster.

Install Hadoop: Setting up a Single Node Hadoop Cluster

Prerequirments :

Step 0)

• Install java open-jdk-8 :

  • Add repository :

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

  • Update :

    Sudo apt update

  • Install :

    sudo apt install openjdk-8-jdk

    Note : incase of kali-linux just install jdk

Step 1)

• Install ssh :

  sudo apt install ssh

Step 2)

• Install rsync :

  sudo apt install rsync

Step 3)

• ssh without passphase setup :

  ssh-keygen -t rsa

Step 4)

• append :

  cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys

Step 5)

• now

  ssh localhost

  • Issue-1 : ssh: connect to host localhost port 22: Connection refused

    • Restart ssh :

      service ssh restart

  • Issue-2 : this could be a permission issue so try

    • Using chmod :

      chmod -R 700 ~/.ssh

      chmod -R 700 ~/.ssh

      chmod 644 ~/.ssh/authorized_keys

      chmod 644 ~/.ssh/known_hosts

      chmod 644 ~/.ssh/config

      chmod 600 ~/.ssh/id_rsa

      chmod 644 ~/.ssh/id_rsa.pub

  • Then again run :

    ssh localhost

Main Install Process :

Step 6)

• Hadoop download link (stable) : Apache Hadoop

  I have installed Hadoop-3.2.1 and i prefer to downlaod this one.

Step 7)

• Extract the file using

  tar -xzf Hadoop-3.2.1.tar.gz

Step 8)

• Copy the Hadoop-3.2.1 folder to your desired place and rename it hadoop (such as dir looks like /home/username/hadoop)

Step 9)

• edit .bashrc file [location : ~ (home directory)] and insert (add) the code given below into .bashrc

      #for hadoop

      export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 #JAVA_JDK directory

      export HADOOP_HOME=/home/username/hadoop #location of your hadoop file directory

      export HADOOP_MAPRED_HOME=$HADOOP_HOME
      export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop
      export HADOOP_COMMON_HOME=$HADOOP_HOME
      export HADOOP_HDFS=$HADOOP_HOME
      export YARN_HOME=$HADOOP_HOME
      export HADOOP_USER_CLASSPATH_FIRST=true

      alias hadoop=$HADOOP_HOME/bin/./hadoop #for convenience
      alias hdfs=$HADOOP_HOME/bin/./hdfs #for convenience

      #done

Note : Change username in HADOOP_HOME according to your username.

To get the JAVA_JDK path command :

readlink -f $(which java)

Step 10)

• Reload .bashrc file to effect the changes :

  source .bashrc

Step 11)

• Edit the files in hadoop/etc/hadoop/ :

  • core-site.xml (append/add the given code below) :

  <configuration>
              <property>
                  <name>fs.defaultFS</name>
                  <value>hdfs://localhost:9000</value>
              </property>
  </configuration>

• hdfs-site.xml (append/add the given code below) :

Note : Change username according to your username.

  <configuration>
              <property>
                  <name>dfs.name.dir</name>
                  <value>file:///home/username/pseudo/dfs/name</value>  <!-- username = use `whoami` command in terminal to know your username in machine  -->
                  </property>
                  <property>
                  <name>dfs.data.dir</name>
                  <value>file:///home/username/pseudo/dfs/data</value>  <!-- username = use `whoami` command in terminal to know your username in machine  -->
              </property>
              <property>
                  <name>dfs.replication</name>
                  <value>1</value>
              </property>
  </configuration>

• mapred-site.xml (append/add the given code below) :

  <configuration>
              <property>
              <name>mapred.job.tracker</name>
              <value>localhost:8021</value>
              </property>
  </configuration>

• hadoop-env.sh (append/add the given code below) :

  export JAVA_HOME=/usr/lib/jvm/java-8-openjdk-amd64 #JAVA_JDK directory

To get the JAVA_JDK path run :

readlink -f $(which java)

After everything done without any error...

Step 12)

• Format Hadoop file system by running the command:

  hadoop namenode -format

Step 13)

• To run hadoop :

  $HADOOP_HOME/sbin/start-all.sh

Test

Now open your browser and go to http://localhost:50070 you will get your hadoop working ! :D

Since Hadoop 3.0.0 - Alpha 1 there was a Change in the port configuration:

http://localhost:50070 was moved to http://localhost:9870

• To check the process and port:

  jps

• Stop hadoop :

  $HADOOP_HOME/sbin/stop-all.sh

• After Machine (PC) started enable hadoop using

  $HADOOP_HOME/sbin/start-all.sh`

• The default port number to access all applications of cluster is 8088 http://localhost:8088/