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Home > Data > Big Data > Scala and Spark for Big Data Analytics
Scala and Spark for Big Data Analytics
Scala and Spark for Big Data Analytics

Scala and Spark for Big Data Analytics: Explore the concepts of functional programming, data streaming, and machine learning

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Profile Icon Karim Profile Icon Sridhar Alla
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Scala and Spark for Big Data Analytics

Object-Oriented Scala

"The object-oriented model makes it easy to build up programs by accretion. What this often means, in practice, is that it provides a structured way to write spaghetti code."

- Paul Graham

In the previous chapter, we looked at how to get programming started with Scala. Well, if you're writing the procedural program that we followed in the previous chapter, you can enforce the code reusability by creating procedures or functions. However, if you continue working, consequently, your program gets longer, bigger, and more complex. At a certain point, you will not even have any other more simple way to organize the entire code before production.

On the contrary, the object-oriented programming (OOP) paradigm provides a whole new layer of abstraction. You can then modularize your code through defining OOP entities such as classes with related properties...

Variables in Scala

Before entering into the depth of OOP features, first, we need to know details about the different types of variables and data types in Scala. To declare a variable in Scala, you need to use var or val keywords. The formal syntax of declaring a variable in Scala is as follows:

val or var VariableName : DataType = Initial_Value

For example, let's see how can we declare two variables whose data types are explicitly specified as follows:

var myVar : Int = 50
val myVal : String = "Hello World! I've started learning Scala."

You can even just declare a variable without specifying the DataType. For example, let's see how to declare a variable using val or var, as follows:

var myVar = 50
val myVal = "Hello World! I've started learning Scala."

There are two types of variables in Scala: mutable and immutable that can be defined as...

Methods, classes, and objects in Scala

In the previous section, we saw how to work with Scala variables, different data types and their mutability and immutability, along with their usages scopes. However, in this section, to get the real flavor of the OOP concept, we are going to deal with methods, objects, and classes. These three features of Scala will help us understand the object-oriented nature of Scala and its features.

Methods in Scala

In this part, we are going to talk about methods in Scala. As you dive into Scala, you'll find that there are lots of ways to define methods in Scala. We will demonstrate them in some of these ways:

def min(x1:Int, x2:Int) : Int = {
  if (x1 < x2) x1 else x2
}

The preceding declaration...

Packages and package objects

Just like Java, a package is a special container or object which contains/defines a set of objects, classes, and even packages. Every Scala file has the following automatically imported:

  • java.lang._
  • scala._
  • scala.Predef._

The following is an example for basic imports:

// import only one member of a package
import java.io.File
// Import all members in a specific package
import java.io._
// Import many members in a single import statement
import java.io.{File, IOException, FileNotFoundException}
// Import many members in a multiple import statement
import java.io.File
import java.io.FileNotFoundException
import java.io.IOException

You can even rename a member while importing, and that's to avoid a collision between packages that have the same member name. This method is also called class alias:

import java.util.{List => UtilList}
import java.awt.{List...

Java interoperability

Java is one of the most popular languages, and many programmers learn Java programming as their first entrance to the programming world. The popularity of Java has increased since its initial release back in 1995. Java has gained in popularity for many reasons. One of them is the design of its platform, such that any Java code will be compiled to bytecode, which in turn runs on the JVM. With this magnificent feature, Java language to be being written once and run anywhere. So, Java is a cross-platform language.

Also, Java has lots of support from its community and lots of packages that will help you get your idea up and running with the help of these packages. Then comes Scala, which has lots of features that Java lacks, such as type inference and optional semicolon, immutable collections built right into Scala core, and lots more features (addressed in Chapter...

Pattern matching

One of the widely used features of Scala is pattern matching. Each pattern match has a set of alternatives, each of them starting with the case keyword. Each alternative has a pattern and expression(s), which will be evaluated if the pattern matches and the arrow symbol => separates pattern(s) from expression(s). The following is an example which demonstrates how to match against an integer:

object PatternMatchingDemo1 {
  def main(args: Array[String]) {
    println(matchInteger(3))
  }   
  def matchInteger(x: Int): String = x match {
    case 1 => "one"
    case 2 => "two"
    case _ => "greater than two"
  }
}

You can run the preceding program by saving this file in PatternMatchingDemo1.scala and then using the following commands to run it. Just use the following command:

>scalac Test.scala
>scala Test

You will get the...

Implicit in Scala

Implicit is another exciting and powerful feature introduced by Scala, and it can refer to two different things:

  • A value that can be automatically passed
  • Automatic conversion from one type to another
  • They can be used for extending the capabilities of a class

Actual automatic conversion can be accomplished with implicit def, as seen in the following example (supposing you are using the Scala REPL):

scala> implicit def stringToInt(s: String) = s.toInt
stringToInt: (s: String)Int

Now, having the preceding code in my scope, it's possible for me to do something like this:

scala> def add(x:Int, y:Int) = x + y
add: (x: Int, y: Int)Int

scala> add(1, "2")
res5: Int = 3
scala>

Even if one of the parameters passed to add() is a String (and add() would require you to provide two integers), having the implicit conversion in scope allows the compiler...

Generic in Scala

Generic classes are classes which take a type as a parameter. They are particularly useful for collection classes. Generic classes can be used in everyday data structure implementation, such as stack, queue, linked list, and so on. We will see some examples.

Defining a generic class

Generic classes take a type as a parameter within square brackets []. One convention is to use the letter A as a type parameter identifier, though any parameter name may be used. Let's see a minimal example on Scala REPL, as follows:

scala> class Stack[A] {
     |       private var elements: List[A] = Nil
     |       def push(x: A) { elements = x :: elements }
     |       def peek: A = elements.head
     |       def pop(...

SBT and other build systems

It's necessary to use a build tool for any enterprise software project. There are lots of build tools that you can choose from, such as Maven, Gradle, Ant, and SBT. A good choice of build tool is the one which will let you focus on coding rather than compilation complexities.

Build with SBT

Here, we are going to give a brief introduction to SBT. Before going any further, you need to install SBT using the installation method that fits your system from their official installations methods (URL: http://www.scala-sbt.org/release/docs/Setup.html).

So, let's begin with SBT to demonstrate the use of SBT in a terminal. For this build tool tutorial, we assume that your source code files are in...

Summary

Structuring code in a sane way, with classes and traits, enhances the reusability of your code with generics, and creates a project with standard and widespread tools. Improve on the basics to know how Scala implements the OO paradigm to allow the building of modular software systems. In this chapter, we discussed the basic object-oriented features in Scala, such as classes and objects, packages and package objects, traits, and trait linearization, Java interoperability, pattern matching, implicit, and generics. Finally, we discussed SBT and other build systems that will be needed to build our Spark application on Eclipse or any other IDEs.

In the next chapter, we will discuss what functional programming is and how Scala supports it. We will get to know why it matters and what the advantages of using functional concepts are. Continuing, you will learn pure functions, higher...

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Key benefits

  • Learn Scala’s sophisticated type system that combines Functional Programming and object-oriented concepts
  • Work on a wide array of applications, from simple batch jobs to stream processing and machine learning
  • Explore the most common as well as some complex use-cases to perform large-scale data analysis with Spark

Description

Scala has been observing wide adoption over the past few years, especially in the field of data science and analytics. Spark, built on Scala, has gained a lot of recognition and is being used widely in productions. Thus, if you want to leverage the power of Scala and Spark to make sense of big data, this book is for you. The first part introduces you to Scala, helping you understand the object-oriented and functional programming concepts needed for Spark application development. It then moves on to Spark to cover the basic abstractions using RDD and DataFrame. This will help you develop scalable and fault-tolerant streaming applications by analyzing structured and unstructured data using SparkSQL, GraphX, and Spark structured streaming. Finally, the book moves on to some advanced topics, such as monitoring, configuration, debugging, testing, and deployment. You will also learn how to develop Spark applications using SparkR and PySpark APIs, interactive data analytics using Zeppelin, and in-memory data processing with Alluxio. By the end of this book, you will have a thorough understanding of Spark, and you will be able to perform full-stack data analytics with a feel that no amount of data is too big.

Who is this book for?

Anyone who wishes to learn how to perform data analysis by harnessing the power of Spark will find this book extremely useful. No knowledge of Spark or Scala is assumed, although prior programming experience (especially with other JVM languages) will be useful to pick up concepts quicker.

What you will learn

  • Understand object-oriented & functional programming concepts of Scala
  • In-depth understanding of Scala collection APIs
  • Work with RDD and DataFrame to learn Spark's core abstractions
  • Analysing structured and unstructured data using SparkSQL and GraphX
  • Scalable and fault-tolerant streaming application development using Spark structured streaming
  • Learn machine-learning best practices for classification, regression, dimensionality reduction, and recommendation system to build predictive models with widely used algorithms in Spark MLlib & ML
  • Build clustering models to cluster a vast amount of data
  • Understand tuning, debugging, and monitoring Spark applications
  • Deploy Spark applications on real clusters in Standalone, Mesos, and YARN
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 25, 2017
Length: 796 pages
Edition : 1st
Language : English
ISBN-13 : 9781785280849
Vendor :
Apache
Category :
Data
Languages :
Scala
Concepts :
Big Data
Tools :
Apache Spark

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Product Details

Publication date : Jul 25, 2017
Length: 796 pages
Edition : 1st
Language : English
ISBN-13 : 9781785280849
Vendor :
Apache
Category :
Data
Languages :
Scala
Concepts :
Big Data
Tools :
Apache Spark

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Table of Contents

18 Chapters
Introduction to Scala Chevron down icon Chevron up icon
Introduction to Scala
History and purposes of Scala
Platforms and editors
Installing and setting up Scala
Scala: the scalable language
Scala for Java programmers
Scala for the beginners
Summary
Object-Oriented Scala Chevron down icon Chevron up icon
Object-Oriented Scala
Variables in Scala
Methods, classes, and objects in Scala
Packages and package objects
Java interoperability
Pattern matching
Implicit in Scala
Generic in Scala
SBT and other build systems
Summary
Functional Programming Concepts Chevron down icon Chevron up icon
Functional Programming Concepts
Introduction to functional programming
Functional Scala for the data scientists
Why FP and Scala for learning Spark?
Pure functions and higher-order functions
Using higher-order functions
Error handling in functional Scala
Functional programming and data mutability
Summary
Collection APIs Chevron down icon Chevron up icon
Collection APIs
Scala collection APIs
Types and hierarchies
Performance characteristics
Java interoperability
Using Scala implicits
Summary
Tackle Big Data – Spark Comes to the Party Chevron down icon Chevron up icon
Tackle Big Data – Spark Comes to the Party
Introduction to data analytics
Introduction to big data
Distributed computing using Apache Hadoop
Here comes Apache Spark
Summary
Start Working with Spark – REPL and RDDs Chevron down icon Chevron up icon
Start Working with Spark – REPL and RDDs
Dig deeper into Apache Spark
Apache Spark installation
Introduction to RDDs
Using the Spark shell
Actions and Transformations
Caching
Loading and saving data
Summary
Special RDD Operations Chevron down icon Chevron up icon
Special RDD Operations
Types of RDDs
Aggregations
Partitioning and shuffling
Broadcast variables
Accumulators
Summary
Introduce a Little Structure - Spark SQL Chevron down icon Chevron up icon
Introduce a Little Structure - Spark SQL
Spark SQL and DataFrames
DataFrame API and SQL API
Aggregations
Joins
Summary
Stream Me Up, Scotty - Spark Streaming Chevron down icon Chevron up icon
Stream Me Up, Scotty - Spark Streaming
A Brief introduction to streaming
Spark Streaming
Discretized streams
Stateful/stateless transformations
Checkpointing
Interoperability with streaming platforms (Apache Kafka)
Structured streaming
Summary
Everything is Connected - GraphX Chevron down icon Chevron up icon
Everything is Connected - GraphX
A brief introduction to graph theory
GraphX
VertexRDD and EdgeRDD
Graph operators
Pregel API
PageRank
Summary
Learning Machine Learning - Spark MLlib and Spark ML Chevron down icon Chevron up icon
Learning Machine Learning - Spark MLlib and Spark ML
Introduction to machine learning
Spark machine learning APIs
Feature extraction and transformation
Creating a simple pipeline
Unsupervised machine learning
Binary and multiclass classification
Summary
My Name is Bayes, Naive Bayes Chevron down icon Chevron up icon
My Name is Bayes, Naive Bayes
Multinomial classification
Bayesian inference
Naive Bayes
The decision trees
Summary
Time to Put Some Order - Cluster Your Data with Spark MLlib Chevron down icon Chevron up icon
Time to Put Some Order - Cluster Your Data with Spark MLlib
Unsupervised learning
Clustering techniques
Centroid-based clustering (CC)
Hierarchical clustering (HC)
Distribution-based clustering (DC)
Determining number of clusters
A comparative analysis between clustering algorithms
Submitting Spark job for cluster analysis
Summary
Text Analytics Using Spark ML Chevron down icon Chevron up icon
Text Analytics Using Spark ML
Understanding text analytics
Transformers and Estimators
Tokenization
StopWordsRemover
NGrams
TF-IDF
Word2Vec
CountVectorizer
Topic modeling using LDA
Implementing text classification
Summary
Spark Tuning Chevron down icon Chevron up icon
Spark Tuning
Monitoring Spark jobs
Spark configuration
Common mistakes in Spark app development
Optimization techniques
Summary
Time to Go to ClusterLand - Deploying Spark on a Cluster Chevron down icon Chevron up icon
Time to Go to ClusterLand - Deploying Spark on a Cluster
Spark architecture in a cluster
Deploying the Spark application on a cluster
Summary
Testing and Debugging Spark Chevron down icon Chevron up icon
Testing and Debugging Spark
Testing in a distributed environment
Testing Spark applications
Debugging Spark applications
Summary
PySpark and SparkR Chevron down icon Chevron up icon
PySpark and SparkR
Introduction to PySpark
Installation and configuration
Introduction to SparkR
Summary

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Verified Amazon Customer Jul 27, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Fantastic book! I purchased this book yesterday and already read some chapters and had a quick look to other chapters too. It contains everything needed for learning big data analytics with Spark. It elaborately covers the Scala programming, Sparks basic operations, many machine learning algorithms (classification, regression, clustering, recommendation system), NLP, graph analytics, structured streaming, and of course some other advanced topics of Spark such as tuning, debugging and cluster deployment.More interestingly, it also discussed PySpark, SparkR, Alixuio, and Zeppelin so I don't need to switch to something else. So in summary, it contains everything I was looking for few months.
Amazon Verified review Amazon
Md Ashiqur Rahman Nov 16, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
This is a fantastic book for getting a real understanding about how to develop big data processing applications using Scala and Spark. This book is very up to date containing wide coverage of all the APIs such as Spark SQL, structured streaming, graphX, Spark MLib and more.
Amazon Verified review Amazon
Amazon Customer Aug 01, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I am a scala enthusiastic, also professional java programmer, now a days im into bigdata stack. I've read the entire book more or less. I would highly recommend this book if someone working in java area but want to write java code in functional (scala) way to solve bigdata problems - scala makes spark processing much easier. I would also recommend this book who is yet to start bigdata coding using scala for spark processing. This book includes a lot of nice, small and real life bigdata analytics problems and how to solve them easily using scala on top of hadoop ecosystem.Thanks to authors for such an useful book - its not just only concepts but also guide to implement concepts.
Amazon Verified review Amazon
Ariel Herrera Oct 03, 2018
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What I love about this book is that the author explains each concept very well and provides numerous examples. Yes, it is a large read however you can jump around in the book based on your need and it is sufficient.
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Julio Bregeiro Nov 18, 2023
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About the authors

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Profile icon Karim
Karim
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Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.
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Profile icon Sridhar Alla
Sridhar Alla
Sridhar?Alla?is the co-founder and CTO of Blue Whale Consulting and is expert at helping companies (big and small) define their vision for systems and capabilities that will allow them to establish a strategic execution plan to deal with the ever-growing data collected to support analytics and product teams. He has very experienced at dealing with all aspects of data collection, security, governance, and processing as part of end-to-end big data analytics and machine learning initiatives (including predictive modeling, deep learning, and ML automation). Sridhar?is a published book author and an avid presenter at numerous conferences, including Strata, Hadoop World, and Spark Summit.? He also has several patents filed with the US PTO on large-scale computing and distributed systems.? He has over 18 years' experience writing code in Scala, Java, C, C++, Python, R, and Go, and has extensive hands-on knowledge of Spark, Flink, TensorFlow, Keras, Hadoop, Cassandra, HBase, MongoDB, Riak, Redis, Zeppelin, Mesos, Docker, Kafka, ElasticSearch, Solr, H2O, machine learning, text analytics, distributed computing, and high-performance computing. Sridhar lives with his wife and daughter in New Jersey and in his spare time loves blogging and coaching organizations on next-generation advancements in technology and their alignment with business goals.
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What is the delivery time and cost of print book? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela
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Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.

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The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.

List of EU27 countries: www.gov.uk/eu-eea:

A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.

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The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.

For example:

  • If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
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Cancellation Policy for Published Printed Books:

You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.

Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.

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Return Policy:

We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:

  1. If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
  2. Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
  3. You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
  4. Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
  5. If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
  6. Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.

On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.

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Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.

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You can pay with the following card types:

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What is the delivery time and cost of print books? Chevron down icon Chevron up icon

Shipping Details

USA:

'

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

EU:

Premium: Trackable delivery to most EU destinations within 4-9 business days.

Australia:

Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.

Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.

India:

Premium: Delivery to most Indian addresses within 5-6 business days

Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

Asia:

Premium: Delivery to most Asian addresses within 5-9 business days

Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

  1. Afghanistan
  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
  7. Eritrea
  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela