{"id":26227,"date":"2024-03-27T06:42:08","date_gmt":"2024-03-27T06:42:08","guid":{"rendered":"https:\/\/green.cloud\/docs\/docs\/greencloud-documents\/linux-operating-systems\/how-to-install-apache-spark-on-ubuntu-22-04\/"},"modified":"2026-01-19T00:45:48","modified_gmt":"2026-01-19T00:45:48","slug":"how-to-install-apache-spark-on-ubuntu-22-04","status":"publish","type":"docs","link":"https:\/\/green.cloud\/docs\/how-to-install-apache-spark-on-ubuntu-22-04\/","title":{"rendered":"How to Install Apache Spark on Ubuntu 22.04"},"content":{"rendered":"<p>Apache Spark is a framework used in cluster computing environments for analyzing big data. This platform became widely popular due to its ease of use and the improved data processing speeds over Hadoop.<\/p>\n<p>Apache Spark can distribute a workload across a group of computers in a cluster to more effectively process large sets of data. This open-source engine supports a wide array of programming languages. This includes Java, Scala, Python, and R.<\/p>\n<p>This post will show you how to install the Apache Spark data processing engine on Ubuntu 22.04.<\/p>\n<p><iframe title=\"How to install Apache Spark on Ubuntu 22.04 | VPS Tutorial\" width=\"1170\" height=\"658\" src=\"https:\/\/www.youtube.com\/embed\/gRlTyCuKV1k?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<h1>Installing Apache Spark on Ubuntu 22.04<\/h1>\n<p>Step 1: Update the System<\/p>\n<p>Before installing Spark on Ubuntu, update your system:<\/p>\n<pre>apt update &amp;&amp; apt upgrade -y<\/pre>\n<p><img fetchpriority=\"high\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_1-6.png\" alt=\"\" width=\"853\" height=\"348\" \/><\/p>\n<p>Step 2: Install Java<\/p>\n<p>Apache Spark is based on Java. So Java must be installed on your server. If not installed, you can install it by running the following command:<\/p>\n<pre>apt-get install default-jdk curl -y<\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_2-6.png\" alt=\"\" width=\"883\" height=\"327\" \/><\/p>\n<p>Once Java is installed, verify the Java installation using the following command:<\/p>\n<pre>java -version<\/pre>\n<p><img decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_3-6.png\" alt=\"\" width=\"840\" height=\"97\" \/><\/p>\n<p>Step 3: Download Apache Spark<\/p>\n<p>You can download it using the wget command:<\/p>\n<pre>wget https:\/\/archive.apache.org\/dist\/spark\/spark-3.0.3\/spark-3.0.3-bin-hadoop2.7.tgz<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_4-6.png\" alt=\"\" width=\"901\" height=\"284\" \/><\/p>\n<p>Step 4: Extract Apache Spark File<\/p>\n<p>Once downloaded, extract the Apache Spark file by utilizing this command:<\/p>\n<pre>tar xvf spark-3.0.3-bin-hadoop2.7.tgz<\/pre>\n<p>Step 5: Move the folder<\/p>\n<p>After the file is extracted, move the folder to the directory \u201c\/opt\/\u201d:<\/p>\n<pre>mv spark-3.0.3-bin-hadoop2.7\/ \/opt\/spark<\/pre>\n<h1>Configure Apache Spark on Ubuntu 22.04<\/h1>\n<p>Step 1: Set Environment Variables<\/p>\n<p>Before starting a master server, you need to configure environment variables. There are a few Spark home paths you need to add to the user profile.<\/p>\n<pre>nano ~\/.profile<\/pre>\n<p>Use the echo command to add these three lines to .profile:<\/p>\n<pre>export SPARK_HOME=\/opt\/spark\r\nexport PATH=$PATH:$SPARK_HOME\/bin:$SPARK_HOME\/sbin\r\nexport PYSPARK_PYTHON=\/usr\/bin\/python3<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_5-4.png\" alt=\"\" width=\"684\" height=\"352\" \/><\/p>\n<p>Step 2: Load the file<\/p>\n<p>When you finish adding the paths, load the .profile file in the command line by typing:<\/p>\n<pre>source ~\/.profile<\/pre>\n<p>Step3:\u00a0 Create a dedicated user to run Apache Spark:<\/p>\n<pre>useradd spark<\/pre>\n<p>Next, change the ownership of the \/opt\/spark to spark user and group:<\/p>\n<pre>chown -R spark:spark \/opt\/spark<\/pre>\n<h1>Create a Systemd Service File for Apache Spark<\/h1>\n<p>Next, you will need to create a service file to manage the Apache Spark service.<\/p>\n<p>Step1: Create a service file for Spark master using the following command:<\/p>\n<pre>nano \/etc\/systemd\/system\/spark-master.service<\/pre>\n<p>Add the following lines:<\/p>\n<pre>[Unit]\r\nDescription=Apache Spark Master\r\nAfter=network.target\r\n[Service]\r\nType=forking\r\nUser=spark\r\nGroup=spark\r\nExecStart=\/opt\/spark\/sbin\/start-master.sh\r\nExecStop=\/opt\/spark\/sbin\/stop-master.sh\r\n[Install]\r\nWantedBy=multi-user.target<\/pre>\n<p>Save and close the file then create a service file for Spark slave<\/p>\n<pre>nano \/etc\/systemd\/system\/spark-slave.service<\/pre>\n<p>Add the following lines:<\/p>\n<pre>[Unit]\r\nDescription=Apache Spark Slave\r\nAfter=network.target\r\n[Service]\r\nType=forking\r\nUser=spark\r\nGroup=spark\r\nExecStart=\/opt\/spark\/sbin\/start-slave.sh spark:\/\/your-server-ip:7077\r\nExecStop=\/opt\/spark\/sbin\/stop-slave.sh\r\n[Install]\r\nWantedBy=multi-user.target<\/pre>\n<p>Change your-server-ip with your IP address<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_6-5.png\" alt=\"\" width=\"727\" height=\"381\" \/><\/p>\n<p>Save and close the file then reload the systemd daemon to apply the changes:<\/p>\n<pre>systemctl daemon-reload<\/pre>\n<p>Step2: Start and enable the Spark master service using the following command:<\/p>\n<pre>systemctl start spark-master\r\nsystemctl enable spark-master<\/pre>\n<p>You can check the status of the Spark master using the following command:<\/p>\n<pre>systemctl status spark-master<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_7-4.png\" alt=\"\" width=\"888\" height=\"286\" \/><\/p>\n<h1>Access Apache Spark<\/h1>\n<p>At this point, Apache Spark is started and listening on port 8080. You can check it with the following command:<\/p>\n<pre>ss -antpl | grep java<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_8-5.png\" alt=\"\" width=\"908\" height=\"198\" \/><\/p>\n<p>Now, open your web browser and access the Spark web interface using the URL http:\/\/your-server-ip:8080. You should see the Apache Spark dashboard on the following page:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_9-4.png\" alt=\"\" width=\"838\" height=\"449\" \/><\/p>\n<h1>Start Spark Slave Server (Start a Worker Process)<\/h1>\n<p>In this single-server, standalone setup, we will start one slave server along with the master server.<\/p>\n<p>To do so, run the following command in this format:<\/p>\n<pre>start-slave.sh spark:\/\/master:port<\/pre>\n<p>The\u00a0<strong><code>master<\/code><\/strong>\u00a0in the command can be an IP or hostname.<\/p>\n<p>In our case it is IP address:<\/p>\n<pre>start-slave.sh spark:\/\/IP address:7077<\/pre>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_10-4.png\" alt=\"\" width=\"1008\" height=\"79\" \/><\/p>\n<p>Now that a worker is up and running, if you reload Spark Master\u2019s Web UI, you should see it on the list:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2024\/03\/Screenshot_11-2.png\" alt=\"\" width=\"832\" height=\"451\" \/><\/p>\n<h1>Conclusion<\/h1>\n<p>Congratulations! you have successfully installed Apache Spark on Ubuntu 22.04. You can now start using Apache Spark in the Hadoop environment.<\/p>\n<p>Hopefully, this article will be helpful for you. Good luck!<\/p>\n<p><a href=\"https:\/\/bit.ly\/3tVkc95\"><br \/>\n<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2023\/03\/KVM-VPS_banner_2-1024x171.png\" sizes=\"(max-width: 1024px) 100vw, 1024px\" srcset=\"https:\/\/green.cloud\/docs\/wp-content\/uploads\/2023\/03\/KVM-VPS_banner_2-1024x171.png 1024w, https:\/\/green.cloud\/docs\/wp-content\/uploads\/2023\/03\/KVM-VPS_banner_2-300x50.png 300w, https:\/\/green.cloud\/docs\/wp-content\/uploads\/2023\/03\/KVM-VPS_banner_2-768x128.png 768w, https:\/\/green.cloud\/docs\/wp-content\/uploads\/2023\/03\/KVM-VPS_banner_2-20x3.png 20w, https:\/\/green.cloud\/docs\/wp-content\/uploads\/2023\/03\/KVM-VPS_banner_2.png 1280w\" alt=\"\" width=\"1024\" height=\"171\" \/> <\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Apache Spark is a framework used in cluster computing environments for analyzing big data. This platform became widely popular due to its ease of use and the improved data processing speeds over Hadoop. Apache Spark can distribute a workload across a group of computers in a cluster to more effectively process large sets of data. [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":17817,"menu_order":559,"comment_status":"closed","ping_status":"closed","template":"","doc_tag":[],"class_list":["post-26227","docs","type-docs","status-publish","hentry","no-post-thumbnail"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>How to Install Apache Spark on Ubuntu 22.04 - GreenCloud Documentation<\/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:\/\/green.cloud\/docs\/how-to-install-apache-spark-on-ubuntu-22-04\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Install Apache Spark on Ubuntu 22.04 - GreenCloud Documentation\" \/>\n<meta property=\"og:description\" content=\"Apache Spark is a framework used in cluster computing environments for analyzing big data. 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