This script will install spark-2.2.0-bin-hadoop2.7.
#HOW TO DOWNLOAD AND INSTALL APACHE SPARK HOW TO#
If you are looking for an easier way to try out Spark, check out another tutorial on how to create Spark Scala project in Intellij IDEA. NOTE: If you would prefer to jump right into using spark you can use the spark-install.sh script provided in this repo which will automatically perform the installation and set any necessary environment variables for you. Take a look at the Wiki of the Bigtop project for more information concerning other Hadoop-related projects. Now you can install Spark and other Hadoop-related projects. On the Spark downloads page, choose to download the zipped Spark package pre-built for Apache Hadoop 2.7.
The pre-built package is the simplest option.
#HOW TO DOWNLOAD AND INSTALL APACHE SPARK CODE#
There are two types of Spark packages available to download: Pre-built for Apache Hadoop 2.7 and later Source code Pre-built. Sudo wget -O /etc/apt//bigtop-1.3.0.list macOS download link Linux download link Install Apache Spark. For the package type, choose ‘Pre-built for Apache Hadoop’. It always works for me Installation Steps (1) Go to the official download page and choose the latest release. If you are stuck with Spark installation, try to follow the steps below. Make sure that you have the latest JDK installed on your system (so far, JDK 8 works well). Spark installation can be tricky and the other web resources seem to miss steps. If you want to isntall other versions, change the version in the commands below accordingly. This tutorial is for Bigtop version 1.3.0. For other distributions, check out this link. Alternatively, you can use the wget command to download the file directly in the terminal. 3.1.2) at the time of writing this article. In this tutorial, I will show how to install Apache Bigtop and how to use it to install Apache Spark. Install Apache Spark in Ubuntu Now go to the official Apache Spark download page and grab the latest version (i.e. This post is for ML and infrastructure engineers, data scientists, and those who are just willing to try Spark out.Īpache Bigtop is aimed at providing ML engineers, infrastructure engineers, and data scientists with a convenient tool for packaging, deployment, and integration of Hadoop-related projects such as HDFS, MapReduce, Pig, Hive, HBase, ZooKeeper, Spark, and many others. A one-liner command would be nice, wouldn’t it? Making this process more organized and user-friendly is one of the goals of Apache Bigtop. Or, sometimes, you are just getting started with a Spark project and want the installation process to be seamless and easy. To do that, you have to remove the previous version, download and extract a new one and hope that everything still works. Has this ever happened to you? A new version of Spark is coming out and you want to try it out.
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