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Apr 25, 2019 · Install Apache Spark on Ubuntu. Before we install Apache Spark on Ubuntu let’s update our system packages. sudo apt update && sudo apt -y full-upgrade. Consider a system reboot after upgrade is required. [ -f /var/run/reboot-required ] && sudo reboot -f. Now use the steps shown next to install Spark on Ubuntu.
- Install Packages Required for Spark. Before downloading and setting up Spark, you need to install necessary dependencies. This step includes installing the following packages
- Download and Set Up Spark on Ubuntu. Now, you need to download the version of Spark you want form their website. We will go for Spark 3.0.1 with Hadoop 2.7 as it is the latest version at the time of writing this article.
- Configure Spark Environment. 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.
- Start Standalone Spark Master Server. Now that you have completed configuring your environment for Spark, you can start a master server. In the terminal, type
Jul 24, 2024 · Learn how to install Apache Spark on Ubuntu 22.04 in this step-by-step guide for beginners. Set up your Spark cluster with ease.
Sep 20, 2021 · Installing Apache Spark. There is no official apt repository to install apache-spark but you can pre-compiled binary from the official site. Use the following wget command and link to download the binary file. $ wget https://downloads.apache.org/spark/spark-3.1.2/spark-3.1.2-bin-hadoop3.2.tgz.
Aug 25, 2022 · In this article, we have provided an installation guide of Apache Spark in Ubuntu 22.04, as well as the necessary dependencies; as well as the configuration of Spark environment is also described in detail.
Install Apache Spark. At the time of writing this tutorial, the latest version of Apache Spark is Spark 3.2.1. You can download it using the wget command: wget https://dlcdn.apache.org/spark/spark-3.2.1/spark-3.2.1-bin-hadoop3.2.tgz. Once the download is completed, extract the downloaded file using the following command:
After activating the environment, use the following command to install pyspark, a python version of your choice, as well as other packages you want to use in the same session as pyspark (you can install in several steps too). conda install -c conda-forge pyspark # can also add "python=3.8 some_package [etc.]" here.