The CSV file format has a lot of variations. The basic idea of separating fields with a comma is clear, but it could also be a tab, or other special character. Sometimes even the header row is optional.
A CSV file is widely used to store raw data due to its portability and simplicity. It's portable across different applications. We will introduce two simple and typical ways to load a sample CSV file into Spark, and it can be easily modified to fit your use case.
Get Apache Spark 2.x Machine Learning Cookbook now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.
Get Mark Richards’s Software Architecture Patterns ebook to better understand how to design components—and how they should interact.
Dive in for free with a 10-day trial of the O’Reilly learning platform—then explore all the other resources our members count on to build skills and solve problems every day.
Start your free trial Become a member now