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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Summary
In this chapter, we walked you through the steps on how to submit applications written in Python to Spark from the command line. The selection of the spark-submit parameters has been discussed. We also showed you how you can package your Python code and submit it alongside your PySpark script. Furthermore, we showed you how you can track the execution of your job.
In addition, we also provided a quick overview of how to run Databricks notebooks using the Databricks Jobs feature. This feature simplifies the transition from development to production, allowing you to take your notebook and execute it as an end-to-end workflow.
This brings us to the end of this book. We hope you enjoyed the journey, and that the material contained herein will ...
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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.