Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases now! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Apache Spark Quick Start Guide
Apache Spark Quick Start Guide

Apache Spark Quick Start Guide: Quickly learn the art of writing efficient big data applications with Apache Spark

Arrow left icon
Profile Icon Shrey Mehrotra Profile Icon Grade
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (1 Ratings)
Paperback Jan 2019 154 pages 1st Edition
eBook
$15.99 $22.99
Paperback
$32.99
Subscription
Free Trial
Renews at $19.99p/m
Arrow left icon
Profile Icon Shrey Mehrotra Profile Icon Grade
Arrow right icon
$19.99 per month
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3 (1 Ratings)
Paperback Jan 2019 154 pages 1st Edition
eBook
$15.99 $22.99
Paperback
$32.99
Subscription
Free Trial
Renews at $19.99p/m
eBook
$15.99 $22.99
Paperback
$32.99
Subscription
Free Trial
Renews at $19.99p/m

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing
Table of content icon View table of contents Preview book icon Preview Book

Apache Spark Quick Start Guide

Apache Spark Installation

In Chapter 1, Introduction to Apache Spark, we learned about what Spark is, its architecture, and the different components that are provided by Spark. In this chapter, we will configure Spark in different modes and look into the different APIs that we can use to access Spark clusters or to submit a Spark application. This chapter will cover the following topics:

  • Creating a single node (EC2 Linux instance) on AWS cloud
  • Installing Java on an instance
  • Installing Python on an instance
  • Installing Scala on an instance
  • Installing Spark on an instance
  • How to access different Spark component clients on an instance

AWS elastic compute cloud (EC2)

Amazon Web Service (AWS) is a popular cloud platform that provides various offerings for infrastructure as a service (IAAS), platform as a service (PAAS), and software as a service (SAAS). AWS provides scalable EC2 instances as nodes (machines) with configurable resources (RAM and cores). It also provides Simple Storage Service (S3) as scalable, low-cost storage.

Creating a free account on AWS

AWS provides you with a free account so that you can explore different services. For more details about these free services, please visit https://aws.amazon.com/free . You will see the following screen:

Follow these steps to get your free EC2 node for Spark installation:

  1. Sign up for an AWS account...

Configuring Spark

Apache Spark can be configured in the following modes:

  • Standalone mode
  • Distributed or cluster mode

Prerequisites

The following are the prerequisites that are required for configuring Spark in any of the modes:

  • Linux OS: Spark is most compatible with any flavor of the Linux operating system. You can use any desktop, virtual machine, server, or a cloud-scale machine to install Spark. Although you can install it on your Windows machine, we are using the Ubuntu AWS machine for configuring Spark.
  • Scala/Python/Java: Spark supports APIs in multiple languages including Scala, Python, and Java. All Spark actions and transformations APIs are available in these different languages.
...

Summary

This chapter has helped you install Java, Scala, and Spark on a Linux machine that has been procured from an AWS EC2 instance. You can now use the same setup to execute the queries/examples that are provided in other chapters of this book.

In the next chapter, you will learn about the basic unit of Spark, which is RDD. RDD refers to an immutable Resilient Distributed Dataset, on which we can apply further actions and transformations.

Left arrow icon Right arrow icon
Download code icon Download Code

Key benefits

  • Learn about the core concepts and the latest developments in Apache Spark
  • Master writing efficient big data applications with Spark’s built-in modules for SQL, Streaming, Machine Learning and Graph analysis
  • Get introduced to a variety of optimizations based on the actual experience

Description

Apache Spark is a ?exible framework that allows processing of batch and real-time data. Its unified engine has made it quite popular for big data use cases. This book will help you to get started with Apache Spark 2.0 and write big data applications for a variety of use cases. It will also introduce you to Apache Spark – one of the most popular Big Data processing frameworks. Although this book is intended to help you get started with Apache Spark, but it also focuses on explaining the core concepts. This practical guide provides a quick start to the Spark 2.0 architecture and its components. It teaches you how to set up Spark on your local machine. As we move ahead, you will be introduced to resilient distributed datasets (RDDs) and DataFrame APIs, and their corresponding transformations and actions. Then, we move on to the life cycle of a Spark application and learn about the techniques used to debug slow-running applications. You will also go through Spark’s built-in modules for SQL, streaming, machine learning, and graph analysis. Finally, the book will lay out the best practices and optimization techniques that are key for writing efficient Spark applications. By the end of this book, you will have a sound fundamental understanding of the Apache Spark framework and you will be able to write and optimize Spark applications.

Who is this book for?

If you are a big data enthusiast and love processing huge amount of data, this book is for you. If you are data engineer and looking for the best optimization techniques for your Spark applications, then you will find this book helpful. This book also helps data scientists who want to implement their machine learning algorithms in Spark. You need to have a basic understanding of any one of the programming languages such as Scala, Python or Java.

What you will learn

  • Learn core concepts such as RDDs, DataFrames, transformations, and more
  • Set up a Spark development environment
  • Choose the right APIs for your applications
  • Understand Spark's architecture and the execution ?ow of a Spark application
  • Explore built-in modules for SQL, streaming, ML, and graph analysis
  • Optimize your Spark job for better performance

Product Details

Country selected
Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 31, 2019
Length: 154 pages
Edition : 1st
Language : English
ISBN-13 : 9781789349108
Vendor :
Apache
Category :
Languages :
Concepts :

What do you get with a Packt Subscription?

Free for first 7 days. $19.99 p/m after that. Cancel any time!
Product feature icon Unlimited ad-free access to the largest independent learning library in tech. Access this title and thousands more!
Product feature icon 50+ new titles added per month, including many first-to-market concepts and exclusive early access to books as they are being written.
Product feature icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Product feature icon Thousands of reference materials covering every tech concept you need to stay up to date.
Subscribe now
View plans & pricing

Product Details

Publication date : Jan 31, 2019
Length: 154 pages
Edition : 1st
Language : English
ISBN-13 : 9781789349108
Vendor :
Apache
Category :
Languages :
Concepts :

Packt Subscriptions

See our plans and pricing
Modal Close icon
$19.99 billed monthly
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Simple pricing, no contract
$199.99 billed annually
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts
$279.99 billed in 18 months
Feature tick icon Unlimited access to Packt's library of 7,000+ practical books and videos
Feature tick icon Constantly refreshed with 50+ new titles a month
Feature tick icon Exclusive Early access to books as they're written
Feature tick icon Solve problems while you work with advanced search and reference features
Feature tick icon Offline reading on the mobile app
Feature tick icon Choose a DRM-free eBook or Video every month to keep
Feature tick icon PLUS own as many other DRM-free eBooks or Videos as you like for just $5 each
Feature tick icon Exclusive print discounts

Frequently bought together


Stars icon
Total $ 98.97
Apache Kafka Quick Start Guide
$32.99
Machine Learning with Apache Spark Quick Start Guide
$32.99
Apache Spark Quick Start Guide
$32.99
Total $ 98.97 Stars icon

Table of Contents

9 Chapters
Introduction to Apache Spark Chevron down icon Chevron up icon
Apache Spark Installation Chevron down icon Chevron up icon
Spark RDD Chevron down icon Chevron up icon
Spark DataFrame and Dataset Chevron down icon Chevron up icon
Spark Architecture and Application Execution Flow Chevron down icon Chevron up icon
Spark SQL Chevron down icon Chevron up icon
Spark Streaming, Machine Learning, and Graph Analysis Chevron down icon Chevron up icon
Spark Optimizations Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(1 Ratings)
5 star 0%
4 star 0%
3 star 100%
2 star 0%
1 star 0%
Ulysses May 02, 2019
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
I basically got what I wanted, which was a quick overview, with an intro to key concepts. Also some of the details addressed questions I had. I scouted a bunch of other books first, and it was the table-of-contents that sold me on this one.The problem is that this feels like a first draft that nobody bothered to read through. I doubt that it's an exaggeration to say that the average page has a dozen glaring syntax problems that could easily have been fixed. The figures are often poorly labelled, or even poorly conceived. There are extra or missing words. It might be that I actually learned a little more than I would have otherwise, because at a few places I had to decipher some garbled text to work out what the authors must have meant, whereas cleaned-up text might've gone in one ear and out the other.The concepts are accessible. The scope seems thorough, for a quick introduction. It's not so bad that you can't breeze your way through it, but it feels like a hasty job slapped into print without any supervision.
Amazon Verified review Amazon
Get free access to Packt library with over 7500+ books and video courses for 7 days!
Start Free Trial

FAQs

What is included in a Packt subscription? Chevron down icon Chevron up icon

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

How can I cancel my subscription? Chevron down icon Chevron up icon

To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits? Chevron down icon Chevron up icon

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled? Chevron down icon Chevron up icon

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title? Chevron down icon Chevron up icon

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team. 

Can I download the code files for Early Access titles? Chevron down icon Chevron up icon

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date? Chevron down icon Chevron up icon

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready? Chevron down icon Chevron up icon

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access? Chevron down icon Chevron up icon

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered? Chevron down icon Chevron up icon

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content? Chevron down icon Chevron up icon

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access? Chevron down icon Chevron up icon

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.