February 2017
Intermediate to advanced
274 pages
5h 58m
English
Content preview from Learning PySparkBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Interoperating with RDDs
There are two different methods for converting existing RDDs to DataFrames (or Datasets[T]): inferring the schema using reflection, or programmatically specifying the schema. The former allows you to write more concise code (when your Spark application already knows the schema), while the latter allows you to construct DataFrames when the columns and their data types are only revealed at run time. Note, reflection is in reference to schema reflection as opposed to Python reflection.
Inferring the schema using reflection
In the process of building the DataFrame and running the queries, we skipped over the fact that the schema for this DataFrame was automatically defined. Initially, row objects are constructed by passing a ...
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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.