September 2018
Intermediate to advanced
398 pages
9h 43m
English
Content preview from Scala Programming Projects
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Dataset
As Scala developers, we are used to working with types and with a friendly compiler that infers types and tells us our mistakes. The problem with DataFrame API and Spark SQL is that you can write a query such as Select lastname From people, but in your DataFrame, you might not have a lastname column, but surname one. In this case, you are only going to discover that mistake at runtime with a nasty exception!
Wouldn't it be nice to have a compilation error instead?
This is why Spark introduced Dataset in version 1.6. Dataset attempts to unify the RDD and the DataFrame APIs. Dataset has a type parameter, and you can use anonymous functions to manipulate the data as you would with an RDD or a vector.
Actually, DataFrame is, in fact, ...
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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.