In this example I added Spark Core and Spark SQL libraries.
#HOW TO DOWNLOAD AND INSTALL APACHE SPARK UPDATE#
To do that, update the content of the build.sbt file simply by copying and pasting the code below. Next step is to add a few Spark libraries to the project. Your JDK, Scala and SBT versions may vary but make sure that they are compatible with Spark libraries that you are going to use. Once you have everything installed, first step is to create SBT-based Scala project. I have tested this tutorial on Ubuntu 16.04 and 18.04, Windows 8, and MacOS Catalina.
If you do not have them installed, do that first: I assume that you have already installed the IDE, Scala plugin, SBT and JDK.
#HOW TO DOWNLOAD AND INSTALL APACHE SPARK HOW TO#
I decided to use Intellij Idea Community Edition and I am going to show how to run Apache Spark programs written in Scala using this IDE. Create Spark Scala project in Intellij Idea Now we are going to create Spark Scala project in Intellij Idea IDE. But this is the topic for another blogpost. The algorithm had a custom loss function, gradient, update rules and tricky optimization part, so I could not use the recommendation algorithms already implemented in Spark (e. I faced this problem for the first time in 2016, when we decided to implement a recommendation algorithm that was recently developed in LTS2 where I just started my PhD. And that is the moment when you need an IDE. Yes, it is convenient and powerful, but it has a limited number of algorithms and sometimes you need to implement your own custom algorithm. However, Spark is just yet another framework for large scale data analytics. This language allows to start feeling the full power of Spark comprising analytics, streaming and graph processing tools. Databricks allowed to forget about the problems related to setting up and maintaining the environment.Įveryone who is learning and using Spark eventually realizes that Python API is not as powerful and flexible as the core language of the framework - Scala.
If you wanted to use a different version of Spark & Hadoop, select the one you wanted from the drop-down the link on point 3 changes to the selected version and provides you with an updated link to download. Then I have realized that I wanted more and running notebooks locally was not enough for me, so in 2015, I signed up for Databricks Community Ediditon subscription. Download Apache spark by accessing the Spark Download page and select the link from Download Spark (point 3 from below screenshot). I use Jupyter almost every day and, as many others, when I first started learning Spark I developed my first data analysis pipelines using interactive notebooks and Python API. It is really useful when I want to present some code, let someone reproduce my research or just learn how to use new tools and libraries.
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