{"id":48058,"date":"2018-01-29T11:57:24","date_gmt":"2018-01-29T06:27:24","guid":{"rendered":"http:\/\/blog.odango.com\/?p=48058"},"modified":"2023-02-04T09:42:07","modified_gmt":"2023-02-04T04:12:07","slug":"multinode-cluster-installation-guide","status":"publish","type":"post","link":"https:\/\/asha24.net\/blog\/multinode-cluster-installation-guide\/","title":{"rendered":"MultiNode Cluster Installation Guide"},"content":{"rendered":"\n[et_pb_section bb_built=”1″ next_background_color=”#000000″][et_pb_row][et_pb_column type=”4_4″][et_pb_post_title _builder_version=”3.0.106″ title=”on” meta=”off” author=”on” date=”on” categories=”on” comments=”on” featured_image=”off” featured_placement=”below” text_color=”dark” text_background=”off” title_font=”Titillium Web||||||||” title_font_size=”47″ title_font_size_tablet=”40″ title_font_size_phone=”35″ title_font_size_last_edited=”on|desktop” title_text_color=”rgba(0,0,0,0.8)” title_text_align=”left” text_shadow_horizontal_length=”0.08em” text_shadow_vertical_length=”0.08em” text_shadow_blur_strength=”0.08em” title_text_shadow_horizontal_length=”0.08em” title_text_shadow_vertical_length=”0.08em” custom_margin=”|||10%” \/][\/et_pb_column][\/et_pb_row][et_pb_row][et_pb_column type=”4_4″][et_pb_text _builder_version=”3.12.2″ text_font=”Titillium Web|300|||||||” text_font_size=”20″ text_font_size_last_edited=”on|desktop” text_text_color=”rgba(0,0,0,0.8)” text_line_height=”1.6em” max_width=”800px” custom_margin=”|||10%” text_line_height_last_edited=”off|phone” max_width_last_edited=”off|phone” custom_margin_last_edited=”off|desktop”]\r\n\r\n

\r\nMultinode<\/strong>\u00a0cluster in Big data:<\/strong><\/p>\r\n

A\u00a0Hadoop\u00a0cluster<\/a> is a special type of computational\u00a0cluster\u00a0designed specifically for storing and analyzing huge amounts of\u00a0unstructured data\u00a0in a\u00a0distributed computing\u00a0environment.<\/p>\r\n

Machines in the clusters work as Master and Job Tracker, while the remaining clusters act as slave clusters for both data node and task tracker.<\/p>\r\n

Hadoop clusters are referred as sharing systems because the only thing that is shared between nodes is the network that connects them.<\/p>\r\n

They are well recognized for boosting the speed of data applications. They are highly scalable as a cluster’s processing power is affected by growing volumes of data, additional cluster nodes can be added to increase throughput.<\/p>\r\n

These clusters are highly resistant to failure because each piece of data is copied onto other cluster nodes, which ensures that the data is not lost if one node fails.<\/p>\r\n\r\n[\/et_pb_text][et_pb_image _builder_version=”3.17.6″ src=”https:\/\/asha24.net\/blog\/\/wp-content\/uploads\/2018\/03\/download-119.png” align=”center” \/][et_pb_text _builder_version=”3.12.2″ text_font=”Titillium Web|300|||||||” text_font_size=”20″ text_font_size_last_edited=”on|desktop” text_text_color=”rgba(0,0,0,0.8)” text_line_height=”1.6em” max_width=”800px” custom_margin=”|||10%” text_line_height_last_edited=”off|phone” max_width_last_edited=”off|phone” custom_margin_last_edited=”off|desktop”]\r\n\r\n

\r\nWhat is a multinode cluster?<\/strong><\/p>\r\n

In a multi-node Hadoop cluster<\/a>, all the required essentials run on different machines.<\/p>\r\n

A multi-node Hadoop cluster setup has master-slave architecture wherever in one machine acts as a master that runs the Name Node daemon while the other machines act as a slave or worker nodes to run other Hadoop processes.<\/p>\r\n

The main reason why Hadoop is well suited to this type of data is that\u00a0Hadoop works by breaking the data\u00a0into pieces and assigning each “piece” to a specific cluster node<\/a> for analysis.<\/p>\r\n\r\n[\/et_pb_text][et_pb_image _builder_version=”3.17.6″ force_fullwidth=”on” src=”https:\/\/asha24.net\/blog\/\/wp-content\/uploads\/2018\/03\/download-1-23.png” \/][et_pb_text _builder_version=”3.12.2″ text_font=”Titillium Web|300|||||||” text_font_size=”20″ text_font_size_last_edited=”on|desktop” text_text_color=”rgba(0,0,0,0.8)” text_line_height=”1.6em” max_width=”800px” custom_margin=”|||10%” text_line_height_last_edited=”off|phone” max_width_last_edited=”off|phone” custom_margin_last_edited=”off|desktop”]\r\n\r\n

Java is the main requirement for Hadoop. To\u00a0<\/em>set-up<\/em>\u00a0a Multinode cluster, these are the commands which we have to follow:-<\/em><\/p>\r\n

    \r\n
  1. First, we should verify the existence of java in our system using \u201cjava -version\u201d. The syntax of java version command is given below.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n
    $ java\u00a0 -version<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n
      \r\n
    1. If the given command works fine, then it will give output as below.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

      java version \u201c1.7.0_71\u201d<\/p>\r\n

      Java(TM)\u00a0 SE\u00a0Runtime Environment\u00a0\u00a0(build\u00a0 1.7.0_71-b13)<\/p>\r\n

      Java\u00a0 HotSpot\u00a0(TM)\u00a0Client\u00a0\u00a0VM (build 25.0-b02, mixed mode)<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

        \r\n
      1. Another way to install the java by visiting the following link here.<\/li>\r\n<\/ol>\r\n

        We will find java downloaded to our system.<\/p>\r\n\r\n\r\n\r\n

        $ cd\u00a0Downloads\/<\/p>\r\n

        $ ls<\/p>\r\n

        jdk-7u71-Linux-x64.gz<\/p>\r\n

        $ tar\u00a0zxf\u00a0jdk-7u71-Linux-x64.gz<\/p>\r\n

        $ ls<\/p>\r\n

        jdk1.7.0_71\u00a0jdk-7u71-Linux-x64.gz<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

          \r\n
        1. <\/b>To make the availability of java to all the users, we have to move it to the location \u201c\/usr\/local\/\u201d where we can find easily. Open the root, and type the following commands.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

          $ su<\/p>\r\n

          password:<\/p>\r\n

          # mv jdk1.7.0_71 \/usr\/local\/<\/p>\r\n

          # exit<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

            \r\n
          1. <\/b>For setting up\u00a0PATH\u00a0and\u00a0JAVA_HOME\u00a0variables, use the following commands to a~\/.bashrc<\/strong><\/b>\u00a0file.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

            export\u00a0JAVA_HOME=\/usr\/local\/jdk1.7.0_71<\/p>\r\n

            export\u00a0PATH=PATH:$JAVA_HOME\/bin<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

            Here we have to verify java version command from the above process and we have to install java on all our cluster nodes.<\/p>\r\n

              \r\n
            1. <\/b>Now, create a system user account on both master and slave systems for the Hadoop installation.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

              # useradd hadoop<\/p>\r\n

              # passwd hadoop<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                \r\n
              1. <\/b>Here we have to edit\u00a0hosts\u00a0file in\u00a0\/etc\/\u00a0folder on all nodes and specify the IP address of each system followed by their hostnames for mapping the nodes.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

                # vi \/etc\/hosts<\/p>\r\n

                enter the following lines in the \/etc\/hosts file.<\/p>\r\n

                192.168.1.109\u00a0hadoop-master<\/p>\r\n

                192.168.1.145\u00a0hadoop-slave-1<\/p>\r\n

                192.168.56.1\u00a0hadoop-slave-2<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                  \r\n
                1. <\/b>Setup ssh in every node such that they can communicate with one another without any prompt for a password for key based login.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

                  # su hadoop<\/p>\r\n

                  $ ssh-keygen -t rsa<\/p>\r\n

                  $ ssh-copy-id -i\u00a0~\/.ssh\/id_rsa.pub tutorialspoint@hadoop-master<\/p>\r\n

                  $ ssh-copy-id -i\u00a0~\/.ssh\/id_rsa.pub hadoop_tp1@hadoop-slave-1<\/p>\r\n

                  $ ssh-copy-id -i\u00a0~\/.ssh\/id_rsa.pub hadoop_tp2@hadoop-slave-2<\/p>\r\n

                  $ chmod\u00a00600~\/.ssh\/authorized_keys<\/p>\r\n

                  $\u00a0exit<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    \r\n
                  1. <\/b>In the Master server, download and install Hadoop using the following commands.<\/li>\r\n<\/ol>\r\n\r\n\r\n\r\n

                    # mkdir \/opt\/hadoop<\/p>\r\n

                    # cd \/opt\/hadoop\/<\/p>\r\n

                    # wget: http:\/\/apache.mesi.com.ar\/hadoop\/common\/hadoop-1.2.1\/hadoop-1.2.0.tar.gz<\/p>\r\n

                    # tar -xzf hadoop-1.2.0.tar.gz<\/p>\r\n

                    # mv hadoop-1.2.0 hadoop<\/p>\r\n

                    # chown -R hadoop \/opt\/hadoop<\/p>\r\n

                    # cd \/opt\/hadoop\/hadoop\/<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    Configuration of Hadoop:<\/strong><\/b><\/p>\r\n

                    You can configure Hadoop server by making the changes:-<\/p>\r\n

                    Core-site.xml<\/strong><\/b><\/p>\r\n

                    Open the\u00a0core-site.xml\u00a0file and edit it as shown below.<\/p>\r\n\r\n\r\n\r\n

                    fs.default.name<\/p>\r\n

                    hdfs:\/\/hadoop-master:9000\/<\/p>\r\n

                    dfs.permissions<\/p>\r\n

                    false<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    hdfs-site.xml<\/strong><\/b><\/h3>\r\n

                    Open the\u00a0hdfs-site.xml\u00a0file and edit it as shown below.<\/p>\r\n\r\n\r\n\r\n

                    dfs.data.dir<\/p>\r\n

                    \/opt\/hadoop\/hadoop\/dfs\/name\/data<\/p>\r\n

                    true<\/p>\r\n

                    dfs.name.dir<\/p>\r\n

                    \/opt\/hadoop\/hadoop\/dfs\/name<\/p>\r\n

                    true<\/p>\r\n

                    dfs.replication<\/p>\r\n

                    1<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    mapred-site.xml<\/strong><\/b><\/h3>\r\n

                    Open the\u00a0mapred-site.xml\u00a0<\/strong><\/b>file and edit it as given below.<\/p>\r\n\r\n\r\n\r\n

                    mapred.job.tracker<\/p>\r\n

                    hadoop-master:9001<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    hadoop-env.sh<\/strong><\/b><\/h3>\r\n

                    Open the\u00a0hadoop-env.sh<\/strong><\/b>\u00a0file and edit JAVA_HOME, HADOOP_CONF_DIR, and HADOOP_OPTS as below.<\/p>\r\n\r\n\r\n\r\n
                    export\u00a0JAVA_HOME=\/opt\/jdk1.7.0_17\u00a0export\u00a0HADOOP_OPTS=-Djava.net.preferIPv4Stack=true exportHADOOP_CONF_DIR=\/opt\/hadoop\/hadoop\/conf<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    Installing Hadoop:<\/strong><\/b><\/p>\r\n

                    Install Hadoop on all the slave servers by following the given commands.<\/p>\r\n\r\n\r\n\r\n

                    # su hadoop<\/p>\r\n

                    $ cd \/opt\/hadoop<\/p>\r\n

                    $ scp -r hadoop hadoop-slave-1:\/opt\/hadoop<\/p>\r\n

                    $ scp -r hadoop hadoop-slave-2:\/opt\/hadoop<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    Configuring Hadoop on Master Server:<\/strong><\/b><\/p>\r\n

                    Open the master server and configure it by following the given commands.<\/p>\r\n\r\n\r\n\r\n

                    # su hadoop<\/p>\r\n

                    $ cd \/opt\/hadoop\/hadoop<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    The commands shown below is used for Configuring Master Node.<\/p>\r\n\r\n\r\n\r\n

                    $ vi etc\/hadoop\/masters<\/p>\r\n

                    hadoop-master<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    For Configuring Slave Node have to follow the below command.<\/h3>\r\n\r\n\r\n\r\n

                    $ vi etc\/hadoop\/slaves<\/p>\r\n

                    hadoop-slave-1<\/p>\r\n

                    hadoop-slave-2<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    The following is used to Format Name Node on Hadoop Master.<\/p>\r\n\r\n\r\n\r\n

                    # su hadoop<\/p>\r\n

                    $ cd \/opt\/hadoop\/hadoop<\/p>\r\n

                    $ bin\/hadoop namenode\u00a0 \u2013format<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\r\n\r\n\r\n

                    11\/10\/14 10:58:07 INFO namenode.NameNode:\u00a0STARTUP_MSG: \/************************************************************<\/p>\r\n

                    STARTUP_MSG: Starting NameNode<\/p>\r\n

                    STARTUP_MSG: host = hadoop-master\/192.168.1.109<\/p>\r\n

                    STARTUP_MSG: args = [-format]<\/p>\r\n

                    STARTUP_MSG: version = 1.2.0<\/p>\r\n

                    STARTUP_MSG: build =\u00a0https:\/\/svn.apache.org\/repos\/asf\/hadoop\/common\/branches\/branch-1.2<\/a>\u00a0-r 1479473; compiled by ‘hortonfo’ on Mon May 6 06:59:37 UTC 2013<\/p>\r\n

                    STARTUP_MSG: java = 1.7.0_71\u00a0************************************************************\/ 11\/10\/14 10:58:08 INFO util.GSet: Computing\u00a0capacity\u00a0for\u00a0map\u00a0BlocksMap\u00a0editlog=\/opt\/hadoop\/hadoop\/dfs\/name\/current\/edits<\/p>\r\n

                    \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.<\/p>\r\n

                    \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.<\/p>\r\n

                    \u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026\u2026.\u00a011\/10\/14 10:58:08\u00a0INFO common.Storage: Storage directory \/opt\/hadoop\/hadoop\/dfs\/name has been successfully formatted. 11\/10\/14 10:58:08 INFO namenode.NameNode:<\/p>\r\n

                    SHUTDOWN_MSG: \/************************************************************SHUTDOWN_MSG: Shutting down NameNode at hadoop-master\/192.168.1.15 ************************************************************\/<\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>\r\n

                    Benefits of Multinode cluster:<\/strong><\/b><\/p>\r\n

                      \r\n
                    1. i)\u00a0<\/strong><\/b>The benefit of using Hadoop clusters is that they are ideally suited to\u00a0analyzing big data. Big data tends to be widely distributed and largely unstructured.<\/li>\r\n
                    2. ii)<\/strong><\/b>It is cost effective as the required software for Hadoop is open source.<\/li>\r\n<\/ol>\r\n

                      iii)\u00a0<\/strong><\/b>Another\u00a0benefit\u00a0is scalability as big data is always growing.<\/p>\r\n

                        \r\n
                      1. iv)\u00a0<\/strong><\/b>Big data is most useful when it is analyzed in real time or proximity to real time.<\/li>\r\n
                      2. v)<\/strong><\/b>Hadoop clusters are flexible to crash. So, when a piece of data is sent to a node, it is also replicated to other cluster nodes.<\/li>\r\n<\/ol>\r\n

                        Drawbacks of Hadoop clusters:<\/strong><\/b><\/p>\r\n

                          \r\n
                        1. i)\u00a0<\/strong><\/b>The clustering resolution is based on the opinion that data can be “taken apart” and explained by parallel processes operating on separate cluster nodes.<\/li>\r\n
                        2. ii)<\/strong><\/b>There is an important learning curve associated with building, operating and supporting the cluster which is missing.<\/li>\r\n<\/ol>\r\n

                          If you wish to dive deeper, know more and establish yourself in to Big Data, click here<\/a> and read up.<\/p>\r\n\r\n[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section bb_built=”1″ prev_background_color=”#000000″][et_pb_row][et_pb_column type=”4_4″][et_pb_team_member _builder_version=”3.0.106″ name=”Chandanakatta” position=”Author” facebook_url=”” twitter_url=”” google_url=”” linkedin_url=”” background_layout=”light” image_url=”https:\/\/asha24.net\/blog\/\/wp-content\/uploads\/2018\/03\/portraits-circle-small_1.png” header_font=”Titillium Web|700|||||||” body_font=”Titillium Web||||||||” body_font_size=”16″ body_font_size_last_edited=”on|desktop” disabled=”off” disabled_on=”off|off|”]\r\n\r\n

                          \r\nHey there! I shoot some hoops when I\u2019m not drowned in the books, sitting by the side of brooks.<\/p>\r\n\r\n[\/et_pb_team_member][\/et_pb_column][\/et_pb_row][\/et_pb_section]\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":4,"featured_media":48065,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[33],"tags":[],"class_list":["post-48058","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data"],"yoast_head":"\nHadoop Multinode cluster Installation Guide (A step by step Guide)<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/asha24.net\/blog\/multinode-cluster-installation-guide\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta 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