September 2018
Intermediate to advanced
398 pages
9h 43m
English
Content preview from Scala Programming Projects
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RDD, DataFrame, and Dataset
The core concept of Spark is the RDD. From the user's point of view, for a given type A, RDD[A] looks similar to a standard Scala collection, such as Vector[A]: they are both immutable and share many well-known methods, such as map, reduce, filter, and flatMap.
However, the RDD has some unique characteristics. They are as follows:
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Lazy: When you call a transformation function, such as map or filter, nothing happens immediately. The function call is just added to a computation graph that is stored in the RDD class. This computation graph is executed when you subsequently call an action function, such as collect or take.
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Distributed: The data in the RDD is split in several partitions that are scattered across ...
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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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.