In this post, we will discuss how to create an assembled JAR for a standalone Spark application using the sbt-assembly plugin. One of my previous posts, we discussed how to build a stand alone Spark Application using SBT eclipse plugin. Now, we will take it one step further and show you how to create a fat JAR for your Spark project using the sbt-assembly plugin.

Adding the sbt-assembly Plugin

The first step in creating an assembled JAR for your Spark application is to add the sbt-assembly plugin. To do this, you will need to add the following line to the project/plugin.sbt file:

addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.9.1")

Configuring Assembly Settings

Next, you will need to specify sbt-assembly.git as a dependency in the project/project/build.scala file:

import sbt._

object Plugins extends Build {
  lazy val root = Project("root", file(".")) dependsOn(
    uri("git://github.com/sbt/sbt-assembly.git#0.9.1")
  )
}

In the build.sbt file, add the following contents:

This blog post will guide you through the process of building a Spark application in Scala that calculates popular hashtags from a Twitter stream. You will also learn how to use the sbt eclipse plugin to run the application in the Eclipse Integrated Development Environment (IDE). Whether you are new to big data processing or looking to improve your skills in data enginering and analytics, this tutorial has something to offer. Follow along with our step-by-step guide to develop your own stand alone Spark application and enhance your abilities in this exciting field.

Sharing some ideas about how to create a Spark-streaming stand-alone application and how to run the Spark applications in scala-SDK (Eclipse IDE).

Building Spark Application using SBT

A Standalone application in Scala using Apache Spark API. The application is build using Simple Build Tool(SBT).

For creating a stand alone app take the twitter popular tag example

This program calculates popular hashtags (popular topics) over sliding 10 and 60 second windows from a Twitter stream. The stream is instantiated with credentials and optionally filters supplied by the command line arguments.

But here modified the code for talking twitter authentication credentials through command line argument. So it needs to give the arguments as