Scala - Tony Truong

Running An Apache Spark Application on Amazon Elastic MapReduce

This is a series of guided screenshots on how to run an AWS EMR Spark application. Last time we wrote a spark count application that found the list of channels with more than 24 hours of programming. We will run that same application this time on EMR instead of the

spark

Getting Unique Combinations Of Products with Apache Spark

This Apache Spark snippet looks at users who have rated a series of products and pulls out the unique combinations of the products rated by each user to start building a recommendation system. To get there though we will go through a multi-part MapReduce algorithm. Some Terminology: (k,v) denotes

spark

Running A Count With MapReduce in Apache Spark

Apache Spark Snippet - Counts# This is the first in a series of snippets on Apache Spark programs. In a previous post I ran a machine learning algorithm through Spark and will be following a similar setup using the Hortonworks Sandbox. In the future I'll do some snippets on AWS'

RabbitMQ

RabbitMQ, FTP Microservice and Docker

I decided to make a quick video on a microservice written in Scala and Akka working with a RabbitMQ message broker and a Pure FTPD service both running inside Docker containers. The video will demonstrate: An Intro to RabbitMQ and its web interface. Some fallback mechanisms if RabbitMQ goes down

AI

Solving A 2D Maze Game Using a Genetic Algorithm and A* Search - Part 2

Part 2 focuses on solving the simple maze in this earlier post. Just as a recap though the maze looks like this: # = Wall P = Player F = Finish = Floor Tile # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # P # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # F # # # # # # # # # # # # # # # # Solving it might not be the right word as a genetic algorithm is more of an optimization algorithm. Optimization

Algorithms

Solving A 2D Maze Game Using a Genetic Algorithm and A* Search - Part 1

There's a lot of material out there on genetic algorithms and A * Search. I decided to just make a little 2D maze and approach the problem two different ways to better understand both algorithms without introducing too much complexity, get familiar with Scala and of course make it a bit

spark

Predicting Movie Ratings with Apache Spark, and Hortonworks

Today's goal is to make a prediction on a movie's rating based on its synopsis using machine learning in an environment that could scale out to hundreds or even thousands of nodes. As the title suggests, I'll be doing it on Apache Spark using MLlib written in Scala. I wanted

playframework

Akka Cluster and Remote Lookup

In my adventures for learning more about Akka and building up a cluster, I wanted to build some kind of architecture where I had a notion of a Master Actor that would get some work and pass it onto a bunch of Worker nodes. This meant that I also wanted

akka

Running a Remote Creator Actor with Akka and Scala

Today I wanted to take a look at having remote actors on a different JVM and how we can push work onto another machine or another system altogether. I think this is advantageous for many reasons including: Being able to scale out Extending functionality of current systems Dealing with concurrency

eclipse

Running Scala Code In ColdFusion For Extensibility

ColdFusion already has support for Java code and starting with CF10+, a dynamic class loader is included without the need to restart the CF Application Service. So what about another languages that runs on the JVM? We'll start to explore calling Scala code from ColdFusion. I could not find any