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Steps to Apache Spark Installation in Standalone Mode. Let’s Follow the steps given below for Apache Spark Installation in Standalone Mode-i. Platform Requirements. Operating system: Ubuntu 14.04 or later, we can also use other Linux flavors like CentOS, Redhat, etc. Configure & Setup Platform. I am running the tools on Mac OS Sierra. Apache Spark (v2.4.0) Kubernetes (v1.10.3) Docker (18.09.0) 1. Install Docker for Mac. Download the Docker from the official download page. Scales to big data with Apache Spark™ MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components.
␡- Installing Spark in Standalone Mode
Apache Spark Download For Mac
This chapter is from the book
This chapter is from the book
Installing Spark in Standalone Mode
In this section I will cover deploying Spark in Standalone mode on a single machine using various platforms. Feel free to choose the platform that is most relevant to you to install Spark on.
Getting Spark
In the installation steps for Linux and Mac OS X, I will use pre-built releases of Spark. You could also download the source code for Spark and build it yourself for your target platform using the build instructions provided on the official Spark website. I will use the latest Spark binary release in my examples. In either case, your first step, regardless of the intended installation platform, is to download either the release or source from: http://spark.apache.org/downloads.html
This page will allow you to download the latest release of Spark. In this example, the latest release is 1.5.2, your release will likely be greater than this (e.g. 1.6.x or 2.x.x).
FIGURE 3.1 The Apache Spark downloads page.
Installing a Multi-node Spark Standalone Cluster
Using the steps outlined in this section for your preferred target platform, you will have installed a single node Spark Standalone cluster. I will discuss Spark’s cluster architecture in more detail in Hour 4, “Understanding the Spark Runtime Architecture.” However, to create a multi-node cluster from a single node system, you would need to do the following:
Ensure all cluster nodes can resolve hostnames of other cluster members and are routable to one another (typically, nodes are on the same private subnet).
Enable passwordless SSH (Secure Shell) for the Spark master to the Spark slaves (this step is only required to enable remote login for the slave daemon startup and shutdown actions).
Configure the spark-defaults.conf file on all nodes with the URL of the Spark master node.
Configure the spark-env.sh file on all nodes with the hostname or IP address of the Spark master node.
Run the start-master.sh script from the sbin directory on the Spark master node.
Run the start-slave.sh script from the sbin directory on all of the Spark slave nodes.
Check the Spark master UI. You should see each slave node in the Workers section.
Run a test Spark job.
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Spark is Hadoop’s sub-project. Therefore, it is better to install Spark into a Linux based system. The following steps show how to install Apache Spark.
Step 1: Verifying Java Installation
Java installation is one of the mandatory things in installing Spark. Try the following command to verify the JAVA version.
If Java is already, installed on your system, you get to see the following response −
In case you do not have Java installed on your system, then Install Java before proceeding to next step.
Step 2: Verifying Scala installation
You should Scala language to implement Spark. So let us verify Scala installation using following command.
If Scala is already installed on your system, you get to see the following response −
In case you don’t have Scala installed on your system, then proceed to next step for Scala installation.
Step 3: Downloading Scala
Download the latest version of Scala by visit the following link Download Scala. For this tutorial, we are using scala-2.11.6 version. After downloading, you will find the Scala tar file in the download folder.
Step 4: Installing Scala
Follow the below given steps for installing Scala.
Extract the Scala tar file
Type the following command for extracting the Scala tar file.
Move Scala software files
Use the following commands for moving the Scala software files, to respective directory (/usr/local/scala).
Set PATH for Scala
Use the following command for setting PATH for Scala.
Verifying Scala Installation
After installation, it is better to verify it. Use the following command for verifying Scala installation.
If Scala is already installed on your system, you get to see the following response −
Step 5: Downloading Apache Spark
Download the latest version of Spark by visiting the following link Download Spark. For this tutorial, we are using spark-1.3.1-bin-hadoop2.6 version. After downloading it, you will find the Spark tar file in the download folder.
Step 6: Installing Spark
Follow the steps given below for installing Spark.
Extracting Spark tar
The following command for extracting the spark tar file.
Apache Spark Virtual Machine Download
Moving Spark software files
The following commands for moving the Spark software files to respective directory (/usr/local/spark).
Setting up the environment for Spark
Add the following line to ~/.bashrc file. It means adding the location, where the spark software file are located to the PATH variable.
Use the following command for sourcing the ~/.bashrc file.
How To Install Apache Spark
Step 7: Verifying the Spark Installation
Write the following command for opening Spark shell.
Download Apache Spark For Mac
If spark is installed successfully then you will find the following output.