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Scala Programming Projects

You're reading from   Scala Programming Projects Build real-world projects using popular Scala frameworks such as Play, Akka, and Spark

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Product type Paperback
Published in Sep 2018
Publisher Packt
ISBN-13 9781788397643
Length 398 pages
Edition 1st Edition
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Authors (2):
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Mikael Valot Mikael Valot
Author Profile Icon Mikael Valot
Mikael Valot
Nicolas Jorand Nicolas Jorand
Author Profile Icon Nicolas Jorand
Nicolas Jorand
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Table of Contents (13) Chapters Close

Preface 1. Writing Your First Program FREE CHAPTER 2. Developing a Retirement Calculator 3. Handling Errors 4. Advanced Features 5. Type Classes 6. Online Shopping - Persistence 7. Online Shopping - REST API 8. Online Shopping - User Interface 9. Interactive Browser 10. Fetching and Persisting Bitcoin Market Data 11. Batch and Streaming Analytics 12. Other Books You May Enjoy

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 10, Fetching 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...
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