This document provides an overview of using MongoDB with NoSQL databases. It discusses when to use NoSQL versus SQL databases, strengths of each, and example use cases. NoSQL databases like MongoDB provide consistency in data representation, flexibility for rapid development, and simplicity of storage. SQL databases are better for applications with relational data and strict schema enforcement. The document also covers topics like schema-less environments in NoSQL, clustering and sharding for scaling MongoDB, and using GridFS for file storage. It introduces the Coldbox ORM called CBMongoDB for working with MongoDB in Coldbox applications.

1. www.intothebox.org

2. ME
In a nutshell

3. BUILDING NOSQL APPS
with MongoDB
(the “tech tasting” super high-level mix)

4. WHENTO USE NOSQL
(and when NOT to)
“When the only tool you have is a hammer,
everything looks like a nail.”
- Maslow’s Law of the Instrument

5. NoSQL Strengths
• Consistent data data representation throughout logic
• Fast and flexible for rapid development
• Simplicity of serialization and storage makes clustering easy
• Object-based query syntax
• Native Javascript support (Mongo)

6. NoSQL Strengths
=
Consistency in data representation

7. SQL RDBMS Strengths
• Relationship management
• Schema enforcement
• Wide usage and understanding of SQL
• Highly configurable roles and permissions, evolved for
enterprise use
• Built-in functions, stored procedures, views, etc.

8. NoSQL Use Cases
• Networking applications
• CMS/Document/Entity-driven applications
• Feedback-driven applications
• Data collection & analytics
• 3rd party aggregation applications

9. RDBMS Use Cases
• Accounting/Finance/Mathematical Applications
• Applications with relationships which enforce other
relationships (e.g. - e-commerce, travel, quality control)

10. SCHEMA ENFORCEMENT
in a schema-less environment

11. NoSQL Normalization
The process of mapping data segments from relevant
relationships in to other objects

13. CLUSTERING & SHARDING
distributed scaling with MongoDB

14. SHARDING
Distribution of collection segments (and GridFS binary objects)
across a number of servers
hosts= [
{
serverName='ds012345.mongolab.com',
serverPort='12345',
username="myUsername",
password="my53cUr3P455",
authenticationDB="myremotedb"
},
//note that we only needed the credentials and the authenticationDB value for the first
host entry.
//All other hosts must use the same values.
{
serverName='ds023456.mongolab.com',
serverPort='23456',
},
{
serverName='ds034567.mongolab.com',
serverPort='34567',
}
]

15. GRIDFS
low-overhead solution for storing, streaming and serving files in
MongoDB

16. GRIDFS

17. GRIDFS
var User = getModel("User").load("54e523599b67bde3c7b2f03d");
var ProfilePhoto = getModel("ProfileImages")
//Set and normalize our person model
ProfilePhoto.set('person.id',Person.get_id())
//Load our photo in to GridFS
ProfilePhoto.loadFile(filePath=expandPath('/includes/tmp/
MyProfilePhoto.jpg'),deleteFile=true);
ProfilePhoto.create();
var Image = getModel("ProfileImage").load(rc.id);
//calling writeImageToBrowser() will flush the image to the browser with headers
Image.writeImageToBrowser(argumentCollection=imageArgs);

18. CBMongoDB
MongoDB’s ORM for Coldbox
box install cbmongodb

19. CBMongoDB
• Originally used the CFMongoDB library (uses 2.0 series
driver)
• Upgraded in 2015 to use the native Java Driver (current
version 3.2.1)
• Designed to provide schema management throughout the
application lifecycle
• Automatic normalization
• Familiar query syntax

20. CBMongoDB

21. CBMongoDB

22. Q&A

23. Next Session Begins @ 5:00PM