March 2019
Beginner to intermediate
182 pages
4h 6m
English
Content preview from Hands-On Big Data Analytics with PySpark
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Summary
In this chapter, we first learned how to separate logic from the Spark engine. We then looked at a component that was well-tested in separation without the Spark engine, and we carried out integration testing using SparkSession. For this, we created a SparkSession test by reusing the component that was already well-tested. By doing that, we did not have to cover all edge cases in the integration test and our test was much faster. We then learned how to leverage partial functions to supply mocked data that's provided at the testing phase. We also covered ScalaCheck for property-based testing. By the end of this chapter, we had tested our code in different versions of Spark and learned how to change our DataFrame mock test to RDD.
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.