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01: Coding “Java way in Scala” Vs “Scala way in Scala”

Example #1: Read from a list & write to a list

Java Way in Scala

Output: List(Java Programming, Scala Programming, Ruby Programming)

Scala Way in Scala: Using the “map” functional combinator

Immutable code as shown below using the “map”

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02: Coding Scala Way – Recursion & Iterator in FP

This extends Coding Scala Way – Part 1 Can you write the following code written in Java the Scala way? Java coding question on recursion and generics Q. Can you write Java code to compute a collection of numbers supplied to it? … Read more ›...



03: Coding Scala Way – Lazy Eval

Example #6: Lazy initialization & evaluation of code Scala support “views“, which are collections that can be lazily evaluated. One use for views is when you need to traverse a collection of values which are expensive to compute and you only need one value at a time. … Read more...



04: Coding Scala Way – Null checks with Option-Some-None

Example #10: Null checks with “Option-Some-None”

Nulls in Scala is a code smell, and a better way to handle null values is with an “Option“, which has 2 sub classes “Some” that has a value and a “None

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05: Coding Scala Way – FP concepts

Example #13: Explain the concepts

Can you explain the Scala concepts applied in the following code snippets?

Output:

1. Higher Order Functions: Line 12” is a higher order function as the function not only takes a function as an argument i.e.

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06: Coding Scala Way – Reduce & Compose functions

Example #14: Reduce operations Given a list of functions as shown below, how will you go about applying all the functions in the list to each input number and sum the result of each function? For example, applying all 3 functions to first number in the list “1” … Read...



07: Coding Scala Way – Regular Expressions

Example #16: Regular Expression Regular expression (aka regex) to identify numbers in a string. Invoking “findFirstIn” and “findAll” functions of the “Regex” class. “[0-9]+”.r is a short form instead of instantiating it as new Regex(“[0-9]+”). Output Example #17: Pattern matching with regex Split the given email address into name, …...



08: Coding Scala Way – Recursion & Higher Order Function

Example #20: nth Fibonacci number

Q1 What is wrong with the following recursive approach to compute the nth Fibonacci number?
A1 It “hangs” for the larger values of “n” like 50.

Q2 How about using an iterative approach as shown below?

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09: Coding Scala Way – Fibonacci Series

Example #22: Fibonacci series in Scala This extends determine the nth fibonacci number using Scala. In this let’s print the Fibonacci series of length n. Output: Q1 Is the above approach to “print the Fibonacci series of length n” … Read more ›...



10: Coding Scala Way – groupBy, mapValues & identity

Java developers need to learn Coding Scala Way. Scala way of coding is quite different & you need to unlearn Java way of coding

Question: Given a list of numbers, how will you group the numbers by how many times they occur? for example output for “List(3,

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11: Coding Scala Way – Actors with Akka – part 1

We already saw in Java: Producer and Consumer Java Multi-threading code. This extends the tutorial “Simple Akka tutorial in Scala step by step” for setting up the environment with right plugins and libraries with Eclipse & Maven.

The Akka Actors sending &

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12: Coding Scala Way – Actors with Akka “Ask Pattern” – Part 2

Actors with Akka “Ask Pattern” is for getting a reply or a response to a message that was sent by a sender. Use ? or ask method. We saw earlier how to send or tell a message to an actor. The Akka Actor Asking for a reply or response The...



13: Coding Scala Way – 2 Actors with Akka – part 3

This extends Actors with Akka – part 1. This “Akka with actors” shows how messages passed among actors in the system. This is known as the reactor pattern based on the event-driven architecture. Orderplacement.scala with Actors Output: The system keeps running until you stop the JVM process. … Read more...



14: Coding Scala Way – Scala concurrency with Future

Scala concurrency with Future explains step by step blocking vs unblocking calls and how implicit and apply concepts work under the covers. Scala extends the Java programming language and runtime in many ways, including concurrency where Scala version of Future<T> is more flexible than the Java version as you can create futures directly from blocks of code,

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15: Coding Scala Way – Scala concurrency & closure vs function definition

This post not only covers “onSuccess” method on a “Future”, but also clarifies the difference between executing a closure and a function definition. Is anything wrong with the following Scala concurrency code? Output: “ … Read more ›...



16: Coding Scala Way – Scala concurrency styles

This extends Scala concurrency & closure vs function definition. This post looks at Scala concurrency styles – blocking & non-blocking. onComplete – non-blocking Output: onSuccess – non-blocking The above “onComplete” call is highly nested. “onSuccess” … Read more ›...



17: Coding Scala Way – What is wrong with this code?

Q. What is wrong with the below code? How will you fix it?

A. The above code will always return “false”. Why? Because map.get(id) returns Some(2016), which is not == to the String value of “2016”. The “==”

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3 Reasons Why I started Learning Scala

Why learn Scala? and where to use Scala? are very popular questions in forums like LinkedIn, Quora, Stack Overflow, etc. Here is my take on learning Scala with 3 reasons.

#1. I am already proficient in Java

Learning new programming languages (e.g. Scala) and paradigms (e.g.

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FAQs Data: 01: Getting started with Spark Scala on IntelliJ IDEA

Even though you can download required libraries via Maven pom.xml, in this tutorial will directly download so that you understand the key steps. Intellij IDEA is the most popular IDE for Spark development on Scala. Here are the 12 easy steps that will get you started with your Spark with Scala on IntelliJ IDEA IDE.

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FAQs Data: 02: Getting started with Spark Scala on IntelliJ IDEA with Maven

This extends FAQs Data: 01: Getting started with Spark Scala on IntelliJ IDEA to package the Spark & run it via command-line. The dependent libraries configured via Maven pom.xml. Make sure Maven is installed on your machine & set in the path.

Step 1: Extend the previous pom.xml file from

TO:

Step 2: Rename “src/test/java”

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