Book Image

Scala Programming Projects

By : Mikael Valot, Nicolas Jorand
Book Image

Scala Programming Projects

By: Mikael Valot, Nicolas Jorand

Overview of this book

Scala Programming Projects is a comprehensive project-based introduction for those who are new to Scala. Complete with step-by-step instructions and easy-to-follow tutorials that demonstrate best practices when building applications, this Scala book will have you building real-world projects in no time. Starting with the fundamentals of software development, you’ll begin with simple projects, such as developing a financial independence calculator, and then advance to more complex projects, such as a building a shopping application and a Bitcoin transaction analyzer. You’ll explore a variety of Scala features, including its OOP and FP capabilities, and learn how to write concise, reactive, and concurrent applications in a type-safe manner. You’ll also understand how to use libraries such as Akka and Play. Furthermore, you’ll be able to integrate your Scala apps with Kafka, Spark, and Zeppelin, along with deploying applications on a cloud platform. By the end of the book, you’ll have a firm foundation in Java programming that’ll enable you to solve a variety of real-world problems, and you’ll have built impressive projects to add to your professional portfolio.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Analyzing transactions with Zeppelin


In the previous chapter, we wrote a program that saves BTC/USD transactions to Parquet files. In this section, we are going to use Zeppelin and Spark to read those files and draw some charts.

If you came directly to this chapter, you first need to set up the bitcoin-analyser project, as explained in Chapter 10Fetching and Persisting Bitcoin Market Data.

Then you can either:

  • Run BatchProducerAppIntelliJ. This will save the last 24 hours of transactions in the data folder of the project directory, then save new transactions every hour.

  • Use the sample transaction data that is committed in GitHub. You will have to check out this project: https://github.com/PacktPublishing/Scala-Programming-Projects.

Drawing our first chart

With these Parquet files ready, create a new notebook in Zeppelin and name it Batch analytics. Then, in the first cell, type the following:

val transactions = spark.read.parquet("<rootProjectPath>/Scala-Programming-Projects/bitcoin-analyser...