Book Image

Scala Data Analysis Cookbook

By : Arun Manivannan
Book Image

Scala Data Analysis Cookbook

By: Arun Manivannan

Overview of this book

This book will introduce you to the most popular Scala tools, libraries, and frameworks through practical recipes around loading, manipulating, and preparing your data. It will also help you explore and make sense of your data using stunning and insightfulvisualizations, and machine learning toolkits. Starting with introductory recipes on utilizing the Breeze and Spark libraries, get to grips withhow to import data from a host of possible sources and how to pre-process numerical, string, and date data. Next, you’ll get an understanding of concepts that will help you visualize data using the Apache Zeppelin and Bokeh bindings in Scala, enabling exploratory data analysis. iscover how to program quintessential machine learning algorithms using Spark ML library. Work through steps to scale your machine learning models and deploy them into a standalone cluster, EC2, YARN, and Mesos. Finally dip into the powerful options presented by Spark Streaming, and machine learning for streaming data, as well as utilizing Spark GraphX.
Table of Contents (14 chapters)
Scala Data Analysis Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Creating a DataFrame from Scala case classes


In this recipe, we'll see how to create a new DataFrame from Scala case classes.

Note

The code for this recipe can be found at https://github.com/arunma/ScalaDataAnalysisCookbook/blob/master/chapter1-spark-csv/src/main/scala/com/packt/scaladata/spark/csv/DataFrameFromCaseClasses.scala.

How to do it...

  1. We create a new entity called Employee with the id and name fields, like this:

    case class Employee(id:Int, name:String)
    

    Similar to the previous recipe, we create SparkContext and SQLContext.

    val conf = new SparkConf().setAppName("colRowDataFrame").setMaster("local[2]")
    
    //Initialize Spark context with Spark configuration.  This is the core entry point to do anything with Spark
    val sc = new SparkContext(conf)
    
    //The easiest way to query data in Spark is to use SQL queries.
    val sqlContext=new SQLContext(sc)
    
  2. We can source these employee objects from a variety of sources, such as an RDBMS data source, but for the sake of this example, we construct a list...