1. Apache Ignite
Data Grid Research
Corey Pentasuglia

2. What is Apache Ignite? In Memory Data Fabric
An open source Apache Incubator project
Started and still mostly maintained by a company named GridGain
Ignite contains several key components for high performance computing within a distributed architecture

3. Data Grid Designed with scalability in mind
Data locality is important and priority
Data can be accessed via a HashMap of values, however the Grid also has support for standard SQL, including distributed SQL joins
Implements the Jcache specification (as defined by Oracle)

4. Data Grid (Key Benefits)
Allows for quick access to large amounts of data
With the popularity of “Big Data” comes the necessity to quickly access that data
Values are cached in memory
When data is accessed on networked machines, the disk no longer needs to be accessed. The cache that’s stored in memory can be accessed much faster
The cache is always kept in sync with the data within the DB
The Ignite documentation suggests creating indexes to make queries even faster. In fact, Ignite even has an implementation for “In Memory Indexing”

5. Replicated Vs. Partitioned Cache
Replicated Cache
Creates a copy on every node of the cluster
Slow updates
Impacts performance and scalability
High availability
Partitioned Cache
Distributed among nodes
Faster updates
Very scalable and high performance
High availability as the number of nodes increases

6. Project (Two Parts)
Utilize four of the Linux lab machines to test the distributed setup and caching
A Java application is written and bundled to run on these machines which allows a distributed cache to be modified
Perform a proof a concept on my own machine to test out the distributed cache and automatic persistence
Run Ignite with a distributed cache that syncs with a MySQL DB running on my laptop

7. Project (Development Setup)
Apache Ignite is fully “Mavenized”. Meaning all the dependency management and building can be configured in Apache Maven
Installed on my laptop:
Apache Maven 3.0.5
Netbeans IDE 8.1
Apache Ignite 1.4.0
MySQL Community Edition 5.7.9
Java applications created to run on the school machines will be bundled with dependencies to run independently using the Java –jar command (also known as a Super Jar)

8. Project (Lab Machines)
The lab machines selected can be seen below
Demonstration:
While the plain Ignite installed can be started and utilized, I have created custom JAR files that contain my code
These JARS can be run on any machine that has Java installed
I will start my application on Spunky and add to the distributed cache
I will then start my app on Goliath and query the cache
This will demonstrate the caching portion of the DataGrid

9. Project (Laptop)
This portion of the project was performed on my laptop
Automatic Persistence
Utilized the bundled Ignite tool to generate Java and XML code
Write initialization code
Created another Java project to interact with the DB through the cache (using generated code)
Create an interface to perform SQL on the distributed DB
Create an interface to perform lookups on the cache

10. Community

11. Citation
(Entire website, documentation, images, and linked videos)