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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Creating DataFrames
Typically, you will create DataFrames by importing data using SparkSession (or calling spark in the PySpark shell).
Tip
In Spark 1.x versions, you typically had to use sqlContext.
In future chapters, we will discuss how to import data into your local file system, Hadoop Distributed File System (HDFS), or other cloud storage systems (for example, S3 or WASB). For this chapter, we will focus on generating your own DataFrame data directly within Spark or utilizing the data sources already available within Databricks Community Edition.
Note
For instructions on how to sign up for the Community Edition of Databricks, see the bonus chapter, Free Spark Cloud Offering.
First, instead of accessing the file system, we will create a DataFrame ...
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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.