In the previous post shared how to use sbt in Spark-streaming project. This post is about how to create a fat jar for spark streaming project using sbt plugin. sbt-assembly is an sbt plugin to create a fat JAR of sbt project with all of its dependencies.

Add sbt-assembly plugin in project/plugin.sbt

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

Specify sbt-assembly.git as a dependency in project/project/build.scala

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 build.sbt file add the following contents

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