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You're reading from  Frank Kane's Taming Big Data with Apache Spark and Python

Product typeBook
Published inJun 2017
Reading LevelIntermediate
PublisherPackt
ISBN-139781787287945
Edition1st Edition
Languages
Python
Tools
Apache Spark
Concepts
Big Data
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Author (1)
Frank Kane
Frank Kane
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Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
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More troubleshooting and managing dependencies

In this section, I want to talk about a few more troubleshooting tips with Spark. There are weird things that will happen and have happened to me in the past when working with Spark. It's not always obvious what to do about them, so let me impart some of my experience to you here. Then we'll talk about managing code dependencies within Spark jobs as well.

Troubleshooting

So let's talk about troubleshooting a little bit more. I can tell you, I did need to do some troubleshooting to get that million ratings job running successfully on my Spark cluster. We'll start by talking about logs. Where are the logs? We saw some stuff scroll by from the driver script, and in practice, if you're running on EMR, that's pretty much all you'll have to go on. Now, as I showed you, if you're in standalone mode and you have access directly, on the network to your master node, all the log information is displayed in this beautiful graphical form in the web UI. However...

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Frank Kane's Taming Big Data with Apache Spark and Python
Published in: Jun 2017Publisher: PacktISBN-13: 9781787287945
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Frank Kane

Frank Kane has spent nine years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to hundreds of millions of customers all the time. He holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. In 2012, Frank left to start his own successful company, Sundog Software, which focuses on virtual reality environment technology and teaches others about big data analysis.
Read more about Frank Kane

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