Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Fast Data Processing with Spark 2

You're reading from   Fast Data Processing with Spark 2 Accelerate your data for rapid insight

Arrow left icon
Product type Paperback
Published in Oct 2016
Publisher Packt
ISBN-13 9781785889271
Length 274 pages
Edition 3rd Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
Krishna Sankar Krishna Sankar
Author Profile Icon Krishna Sankar
Krishna Sankar
Holden Karau Holden Karau
Author Profile Icon Holden Karau
Holden Karau
Arrow right icon
View More author details
Toc

Table of Contents (13) Chapters Close

Preface 1. Installing Spark and Setting Up Your Cluster 2. Using the Spark Shell FREE CHAPTER 3. Building and Running a Spark Application 4. Creating a SparkSession Object 5. Loading and Saving Data in Spark 6. Manipulating Your RDD 7. Spark 2.0 Concepts 8. Spark SQL 9. Foundations of Datasets/DataFrames – The Proverbial Workhorse for DataScientists 10. Spark with Big Data 11. Machine Learning with Spark ML Pipelines 12. GraphX

Directory organization and convention

One convention that would be handy is to download and install software in the /opt directory. Also, have a generic soft link to Spark that points to the current version. For example, /opt/spark points to /opt/spark-2.0.0 with the following command:

sudo ln -f -s spark-2.0.0 spark

Tip

Downloading the example code

You can download the example code files for all of the Packt books you have purchased from your account at http://www.packtpub.com. If you purchased this book elsewhere, you can visit http://www.packtpub.com/support and register to have the files e-mailed directly to you.

Later, if you upgrade, say to Spark 2.1, you can change the soft link.

However, remember to copy any configuration changes and old logs when you change to a new distribution. A more flexible way is to change the configuration directory to /etc/opt/spark and the log files to /var/log/spark/. In this way, these files will stay independent of the distribution updates. More details are available at https://spark.apache.org/docs/latest/configuration.html#overriding-configuration-directory and https://spark.apache.org/docs/latest/configuration.html#configuring-logging.

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image