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
Scala Design Patterns

You're reading from   Scala Design Patterns Design modular, clean, and scalable applications by applying proven design patterns in Scala

Arrow left icon
Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788471305
Length 396 pages
Edition 2nd Edition
Languages
Arrow right icon
Author (1):
Arrow left icon
Ivan Nikolov Ivan Nikolov
Author Profile Icon Ivan Nikolov
Ivan Nikolov
Arrow right icon
View More author details
Toc

Table of Contents (14) Chapters Close

Preface 1. The Design Patterns Out There and Setting Up Your Environment FREE CHAPTER 2. Traits and Mixin Compositions 3. Unification 4. Abstract and Self Types 5. Aspect-Oriented Programming and Components 6. Creational Design Patterns 7. Structural Design Patterns 8. Behavioral Design Patterns – Part One 9. Behavioral Design Patterns – Part Two 10. Functional Design Patterns – the Deep Theory 11. Applying What We Have Learned 12. Real-Life Applications 13. Other Books You May Enjoy

Setting up the development environment

This book will aim to give real code examples for you to run and experiment with. As well as showing the most important code snippets in the pages of the book, you will have access to the code both from Packt Publishing as well as through GitHub for your convenience. The repository can be found at https://github.com/nikolovivan/scala-design-patterns-v2.

Having code examples means that it is important to be able to easily run any examples we have provided here and not to fight with the code. We will do our best to have the code tested and properly packaged, but you should also make sure that you have everything needed to run the examples.

Installing Scala

Of course, you will need the Scala programming language. It does require Java to be installed, it evolves quickly, and the newest version can be found at https://www.scala-lang.org/download/. There are different ways of installing the language and you can choose whichever is the most comfortable for you. There are a few tips about how to install the language in your operating system at https://www.scala-lang.org/download/install.html. As the official Scala website suggests, the easiest way to get started is to download an IDE (IntelliJ, for example), get the Scala plugin, and it will set things up for you. I will provide a couple of tips that have proven useful in my career that have enabled me to be very flexible while experimenting and learning.

Tips for installing Scala manually

You can always download multiple versions of Scala and experiment with them. I use Linux and my tips will be applicable to Mac OS users, too. Windows users can also do a similar setup. Here are the steps:

  1. Install Scala under /opt/scala-{version}/ or any other path you prefer.
  2. Create a symlink using this command: sudo ln -s /opt/scala-{version} scala-current. This can make switching versions much easier, if you decide to experiment.
  3. Add the path to the Scala bin folder to your .bashrc (or equivalent) file using the following lines:
  • export SCALA_HOME=/opt/scala-current
  • export PATH=$PATH:$SCALA_HOME/bin

Now if you had defined a symlink and you decide to install another version of Scala, you could simply redefine the existing symlink and you can go on with your real work.

If you don't want to go through the hassle of installing Scala manually or you find that you often switch to different versions of the language, SBT might be a more comfortable option.

Tips for installing Scala using SBT

You can also experiment with any Scala version using SBT. To do this, you should:

  1. Download and install SBT: https://www.scala-sbt.org/download.html.
  2. Open a Terminal and run sbt.
  3. In the SBT shell, type ++ 2.12.4 or any version you want to try. Please note that if the currently used Scala version is not binary compatible with the one you want to use, you will have to modify the command to the following—++ 2.12.4!. Binary compatibility is very important in Scala and you should try and make sure they use libraries written in the same version of Scala as they use. Otherwise, you might get into trouble.
  4. Issue the console command and you will be in a Scala shell running the version of your choice.
All the examples in this book use SBT or Maven (depending on your preferences). They are build and dependency management tools, which means that you might not even need to do anything extra to install Scala. You can just import an example project and everything will be taken care of automatically.

Scala IDEs

There are multiple IDEs out there that support development in Scala. There is absolutely no preference about which one to use to work with the code. Some of the most popular ones are as follows:

  • IntelliJ
  • Eclipse
  • NetBeans

IntelliJ is currently the one recommended on the Scala website and probably the most used one at the time of writing. All of those IDEs use plugins to work with Scala, and downloading and using them should be straightforward.

Dependency management

Running most of the examples in this book will not require any additional dependencies in terms of special libraries. In some cases, though, we might need to show how a Scala code is unit tested, which will require us to use a testing framework. Also, we will later present some real-life use cases in which an additional library is used. Dealing with dependencies nowadays is done using specialized tools. They usually are interchangeable, and which one to use is a personal choice. The most popular tool used with Scala projects is SBT, but Maven is also an option, and there are many others out there as well. The former is normally used when a project is started from scratch and Scala is the main programming language. The latter could be useful in cases when the main language used is Java, for example, and we want to add modules written in Scala.

Modern IDEs provide the functionality to generate the required build configuration files, but we will give some generic examples that could be useful not only here, but in future projects. Depending on the IDE you prefer, you might need to install some extra plugins to have things up and running, and a quick Google search should help.

SBT

SBT stands for Simple Build Tool and it uses the Scala syntax to define how a project is built, managing dependencies, and so on. It uses .sbt files for this purpose. It also supports a setup based on Scala code in .scala files, as well as a mix of both.

To download SBT, go to http://www.scala-sbt.org/1.0/docs/Setup.html and follow the instructions. If you wish to obtain the newest version, then simply Google it and use the result you get back.

The following screenshot shows the structure of a skeleton SBT project:

It is important to show the contents of the main .sbt files.

The version.sbt file looks as follows:

version in ThisBuild := "1.0.0-SNAPSHOT"

It contains the current version that is automatically incremented if a release is made.

The assembly.sbt file has the following content:

assemblyMergeStrategy in assembly := {
case PathList("javax", "servlet", xs @ _*) => MergeStrategy.first
case PathList(ps @ _*) if ps.last endsWith ".html" => MergeStrategy.first
case "application.conf" => MergeStrategy.concat
case "unwanted.txt" => MergeStrategy.discard
case x =>
val oldStrategy = (assemblyMergeStrategy in assembly).value
oldStrategy(x)
}

assemblyJarName in assembly := { s"${name.value}_${scalaVersion.value}-${version.value}-assembly.jar" }

artifact in (Compile, assembly) := {
val art = (artifact in (Compile, assembly)).value
art.withClassifier(Some("assembly"))
}

addArtifact(artifact in (Compile, assembly), assembly)

It contains information about how to build the assembly JAR—a merge strategy, final JAR name, and so on. It uses a plugin called sbtassembly (https://github.com/sbt/sbt-assembly).

The build.sbt file is the file that contains the dependencies of the project, some extra information about the compiler, and metadata. The skeleton file looks as follows:

organization := "com.ivan.nikolov"

name := "skeleton-sbt"

scalaVersion := "2.12.4"

scalacOptions := Seq("-unchecked", "-deprecation", "-encoding", "utf8")

javaOptions ++= Seq("-target", "1.8", "-source", "1.8")

publishMavenStyle := true

libraryDependencies ++= {
val sparkVersion = "2.2.0"
Seq(
"org.apache.spark" % "spark-core_2.11" % sparkVersion % "provided",
"com.datastax.spark" % "spark-cassandra-connector_2.11" % "2.0.5",
"org.scalatest" %% "scalatest" % "3.0.4" % "test",
"org.mockito" % "mockito-all" % "1.10.19" % "test" // mockito for tests
)
}

As you can see, here we define the Java version against which we compile some manifest information and the library dependencies.

The dependencies for our project are defined in the libraryDependencies section of our SBT file. They have the following format:

"groupId" %[%] "artifactId" % "version" [% "scope"]

If we decide to separate groupId and artifactId with %% instead of %, SBT will automatically use scalaVersion and append _2.12 (for Scala 2.12.*) to artifactId. This syntax is usually used when we include dependencies written in Scala, as the convention there requires us to have the Scala version added as part of artifactId. We can, of course, manually append the Scala version to artifactId and use %. This is also done in cases when we import libraries written in a different major version of Scala. In the latter case, however, we need to be careful with binary compatibility. Of course, not all libraries will be written in the version we use, so we either have to thoroughly test them and make sure they won't break our application, change our Scala version, or look for alternatives.

The dependencies shown will not be needed at any point in this book (the one for Spark and the Datastax one). They are here just for illustration purposes, and you can safely remove them if not needed.

SBT requires each statement to be on a new line and to be separated with a blank line from the previous one if we work with .sbt files. When using .scala files, we just write code in Scala.

The %% syntax in the dependencies is a syntactic sugar, which, using scalaVersion, will replace the name of the library, for example, scalatest will become scalatest_2.12 in our case.

SBT allows the engineer to express the same things differently. One example is the preceding dependencies—instead of adding a sequence of dependencies, we can add them one by one. The final result will be the same. There is also a lot of flexibility with other parts of SBT. For more information on SBT, refer to the documentation.

The project/build.properties defines the sbt version to be used when building and interacting with the application under sbt. It is as simple as the following:

sbt.version = 1.1.0

Finally, there is the project/plugins.sbt file that defines different plugins used to get things up and running. We already mentioned sbtassembly:

addSbtPlugin("com.eed3si9n" % "sbt-assembly" % "0.14.5")
There are different plugins online that provide useful functionalities. Here are some common sbt commands that can be run from the root folder in the Terminal of this skeleton project:
  • sbt: This opens the sbt console for the current project. All of the commands that will follow can be issued from here by omitting the sbt keyword.
  • sbt test: This runs the application unit tests.
  • sbt compile: This compiles the application.
  • sbt assembly: This creates an assembly of the application (a fat JAR) that can be used to run as any other Java JAR.

Maven

Maven holds its configuration in files named pom.xml. It supports multimodule projects easily, while for sbt, there needs to be some extra work done. In Maven, each module simply has its own child pom.xml file.

To download Maven, go to https://maven.apache.org/download.cgi.

The following screenshot shows the structure of a skeleton Maven project:

The main pom.xml file is much longer than the preceding SBT solution. Let's have a look at its parts separately.

There is usually some metadata about the project and different properties that can be used in the POM files in the beginning:

<modelVersion>4.0.0</modelVersion>
<groupId>com.ivan.nikolov</groupId>
<artifactId>skeleton-mvn</artifactId>
<version>1.0.0-SNAPSHOT</version>
<properties>
<scala.version>2.12.4</scala.version>
<scalatest.version>3.0.4</scalatest.version>
<spark.version>2.2.0</spark.version>
</properties>

Then, there are the dependencies:

<dependencies>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>com.datastax.spark</groupId>
<artifactId>spark-cassandra-connector_2.11</artifactId>
<version>2.0.5</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.scalatest</groupId>
<artifactId>scalatest_2.12</artifactId>
<version>${scalatest.version}</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.mockito</groupId>
<artifactId>mockito-all</artifactId>
<version>1.10.19</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.12</version>
<scope>test</scope>
</dependency>
</dependencies>

Finally, there are the build definitions. Here, we can use various plugins to do different things with our project and give hints to the compiler. The build definitions are enclosed in the <build> tags.

First, we specify some resources:

<sourceDirectory>src/main/scala</sourceDirectory>
<testSourceDirectory>src/test/scala</testSourceDirectory>
<resources>
<resource>
<directory>${basedir}/src/main/resources</directory>
</resource>
</resources>

The first plugin we have used is scala-maven-plugin, which is used when working with Scala and Maven:

<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.3.1</version>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
</execution>
</executions>
<configuration>
<scalaVersion>${scala.version}</scalaVersion>
</configuration>
</plugin>

Another plugin we use is maven-assembly-plugin, which is used for building the fat JAR of the application:

<plugin>
<artifactId>maven-assembly-plugin</artifactId>
<version>3.1.0</version>
<configuration>
<appendAssemblyId>false</appendAssemblyId>
<descriptorRefs>
<descriptorRef>jar-with-dependencies</descriptorRef>
</descriptorRefs>
</configuration>
<executions>
<execution>
<id>make-assembly</id>
<phase>package</phase>
<goals>
<goal>single</goal>
</goals>
</execution>
</executions>
</plugin>

The complete pom.xml file is equivalent to the preceding sbt files that we presented.

As before, the Spark and Datastax dependencies are here just for illustration purposes.

The use of JUnit to run unit tests in Scala 2.12

If you look into the dependencies in more depth, you will see that we have imported junit, which is a Java testing framework. At first glance, someone might think that we don't actually need it. However, there is a catch. A quick Google search about how to run Scalatest unit tests with Maven would point to resources recommending the use of scalatest-maven-plugin. If we followed those instructions and tried running some tests from the command line, we would get a strange error. This is due to the fact that we used Scala 2.12 and the scalatest-maven-plugin at its current version is not binary compatible with this version of the language.
Like many things in software engineering, we have to find workarounds. Here, we could do two things:
  • Use an older version of Scala.
  • Force Maven to run our tests.
    Of course, the second option is the more desirable. This means that the only thing we need to do in each Scalatest we write is to add the following annotation to each test class: @RunWith(classOf[JUnitRunner]) and make sure our test classes contain the word Test in their name.

Similarly to SBT, you can use Maven from the command line. Some of the commands you might find most useful with the example projects in this book are shown in the next tip.

Useful Maven commands:
  • mvn clean test: This runs the application unit tests
  • mvn clean compile: This compiles the application
  • mvn clean package: This creates an assembly of the application (a fat JAR) that can be used to run as any other Java JAR

SBT versus Maven

In this book, we will be using both SBT and Maven for dependency management and creating our projects. They are interchangeable, and our source code will not depend on which build system we choose. You can easily translate the .pom files to .sbt files using the skeleton that we've provided. The only difference will really be the dependencies and how they are expressed.

You have been reading a chapter from
Scala Design Patterns - Second Edition
Published in: Apr 2018
Publisher: Packt
ISBN-13: 9781788471305
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