- Install apache spark from ubuntu install#
- Install apache spark from ubuntu update#
- Install apache spark from ubuntu zip#
- Install apache spark from ubuntu download#
Download the latest stable version of Scala from here.
Install apache spark from ubuntu install#
Spark is written in Scala, so we need to install Scala to built Spark. There will be a download link at the top. This is the link we need to use to download: $ wget Click on this link and it will take you to a webpage. You will see “Download Spark” below it and a link next to it, but note that this is NOT the final download link. Choose a download type: Select Apache mirror.Choose a Spark release: pick the latest.Go to this site and choose the following options: We are ready to proceed with the installation. You need to install git (you’ll need it during the build process): $ sudo apt-get install git The following command will install the latest versions of OpenJRE and OpenJDK: $ sudo apt-get install -y default-jre default-jdk
Install apache spark from ubuntu update#
The first step is to update the packages: $ sudo apt-get update
Let’s see how we can install it on Ubuntu. It is an open source big data processing framework that can process massive amounts of data at high speed using cluster computing. This is where Apache Spark comes into picture. If you try to do it using your regular ways, you will never be able to do anything in time, let alone doing it in real-time. Not only that, we need to do it high efficiency. With so much data lying around, often ranging in petabytes and exabytes, we need super powerful systems to process it. This field of study is called Big Data Analysis. In this Spark Tutorial, we have gone through a step by step process to make environment ready for Spark Installation, and the installation of Apache Spark itself.There’s so much data being generated in today’s world that we need platforms and frameworks that it’s mind boggling. :quit command exits you from scala script of spark-shell. Scala> verify the versions of Spark, Java and Scala displayed during the start of spark-shell. Type in expressions to have them evaluated. Using Scala version 2.11.8 (OpenJDK 64-Bit Server VM, Java 1.8.0_131) Spark context available as 'sc' (master = local, app id = local-1501798344680). using builtin-java classes where applicableġ7/08/04 03:42:23 WARN Utils: Your hostname, arjun-VPCEH26EN resolves to a loopback address: 127.0.1.1 using 192.168.1.100 instead (on interface wlp7s0)ġ7/08/04 03:42:23 WARN Utils: Set SPARK_LOCAL_IP if you need to bind to another addressġ7/08/04 03:42:36 WARN ObjectStore: Failed to get database global_temp, returning NoSuchObjectException For SparkR, use setLogLevel(newLevel).ġ7/08/04 03:42:23 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform. To adjust logging level use sc.setLogLevel(newLevel). Using Sparks default log4j profile: org/apache/spark/log4j-defaults.properties Run the following command : ~$ spark-shell ~$ spark-shell
To verify the installation, close the Terminal already opened, and open a new Terminal again. Now that we have installed everything required and setup the PATH, we shall verify if Apache Spark has been installed correctly. Latest Apache Spark is successfully installed in your Ubuntu 16. export JAVA_HOME=/usr/lib/jvm/default-java/jre We shall use nano editor here : $ sudo nano ~/.bashrcĪnd add following lines at the end of ~/.bashrc file. To set JAVA_HOME variable and add /usr/lib/spark/bin folder to PATH, open ~/.bashrc with any of the editor. As a prerequisite, JAVA_HOME variable should also be set. Now we need to set SPARK_HOME environment variable and add it to the PATH. Then we moved the spark named folder to /usr/lib/. In the following terminal commands, we copied the contents of the unzipped spark folder to a folder named spark.
Install apache spark from ubuntu zip#
To unzip the download, open a terminal and run the tar command from the location of the zip file. Before setting up Apache Spark in the PC, unzip the file.
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