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Instal the new Sparkle1/7/2024 ![]() Now, start the Spark Slave service and enable it to start at system reboot: systemctl start spark-slave You can access it using the URL You should see the following page: └─5264 /usr/lib/jvm/java-11-openjdk-11.0.15.0.9-2.el8_5.x86_64/bin/java -cp /opt/spark/conf/:/opt/spark/jars/* -Xmx1g >Īpr 30 08:15:42 oraclelinux systemd: Starting Apache Spark Master.Īpr 30 08:15:42 oraclelinux start-master.sh: starting .master.Master, logging to /opt/spark/logs/spark-spark-org>Īpr 30 08:15:45 oraclelinux systemd: Started Apache Spark Master.Īt this point, Apache Spark is started and listening on port 8080. Process: 5253 ExecStart=/opt/spark/sbin/start-master.sh (code=exited, status=0/SUCCESS)ĬGroup: /system.slice/rvice Loaded: loaded (/etc/systemd/system/rvice disabled vendor preset: disabled)Īctive: active (running) since Sat 08:15:45 EDT 6s ago To verify the status of the Master service, run the following command: systemctl status spark-master Next, start the Spark Master service and enable it to start at system reboot: systemctl start spark-master ![]() Save and close the file, then reload the systemd daemon to apply the changes. Save and close the file, then create a systemd service file for Slave: nano /etc/systemd/system/rviceĮxecStart=/opt/spark/sbin/start-slave.sh spark://your-server-ip:7077 Next, you will need to create a service file for managing Apache Spark Master and Slave via systemd.įirst, create a systemd service file for Master using the following command: nano /etc/systemd/system/rviceĮxecStart=/opt/spark/sbin/start-master.sh Next, create a dedicated user for Apache Spark and set proper ownership to the /opt directory: useradd sparkĬhown -R spark:spark /opt/spark Step 3 – Create a Systemd Service File for Apache Spack Next, move the extracted directory to /opt with the following command: mv spark-3.2.1-bin-hadoop3.2 /opt/spark Once the download is completed, extract the downloaded file with the following command: tar -xvf spark-3.2.1-bin-hadoop3.2.tgz You can download the latest version of Apache Spark from Apache’s official website using the wget command: wget How to Install and Manage Multiple Java Versions Step 2 – Install SparkĪt the time of writing this tutorial, the latest version of Apache Spark is 3.2.1. OpenJDK 64-Bit Server VM 18.9 (build 11.0.15+9-LTS, mixed mode, sharing) OpenJDK Runtime Environment 18.9 (build 11.0.15+9-LTS) You will get the following output: openjdk 11.0.15 LTS Once Java is installed, you can verify it using the following command: java -version If not installed, you can install it by running the following command: dnf install java-11-openjdk-devel -y ![]()
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