Lab Overview

Being able to code productively with Java Streams is an essential skill needed to create robust, bug-free, and performant applications.

This lab is designed to deepen your Java Streams knowledge. You will be required to complete the following Java coding exercise:

• Exercise 1 - Collecting: Complete the Streaming code required to collect and aggregate Movie data stored on the filesystem, implementing methods such as:
  • getMovieCountByGenre
  • getPriceStatistics
  • getOnSaleMovieInfo
• Exercise 2 - Streams: Complete the Streaming code required to filter and map over Movie data stored on the filesystem, implementing methods such as:
  • getMovieCount
  • getMoviesByStudio
  • getGenres
  • getMinimumPrice
  • findMovieByTitle

Note: Each exercise is supplied with a fully completed solution code for reference when required.

Lab Objectives

Upon completion of this lab, you will be able to:

• Be able to work confidently with Java Streams
• Implement custom grouping, filtering, and mapping solutions using Java Streams
• Understand the benefits of working with Java Streams and associated Interfaces
• Run and debug the Java code and examine the results that are printed to the console

You should:

• Be comfortable with using a browser-based IDE

Lab Environment

This lab will start with the following AWS resources provisioned automatically for you:

• A single EC2 instance, named ide.java.platform.instance, which will have a public IP address attached. This instance will host a web-based Java IDE (based on the Visual Code editor).

To achieve the lab end state, you will be walked through the process of:

• Using your local browser, access the web-based Java IDE served from the ide.java.platform.instance
• Completing the following lab exercises:
  
  • Exercise 1 - Collecting
  • Exercise 2 - Streams

Updates

March 31st, 2020 - Updated broken maven download link

June 16th, 2019 - Optimized creation of lab resources to reduce the time it takes to access the browser IDE by 60%.