1. The Trusted Technology Partner in
Business Innovation
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2. NoSQL With MongoDB
Select fun, profit from real_world where
relational=false
Nagaraja S
Senior Consultant I
Nagaraja.s@neudesic.com
twitter.com/nagarajshanbhog
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3. Agenda
• NoSQL!!!! …… ?
• Why NoSQL?
• NoSQL Use Cases
• NoSQL Databases
• Overview on MongoDB
• Set up MongoDB
• DEMO
• MongoDB driver for .net
• DEMO
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4. NoSQL!!!!....?
• NoSQL != NO SQL
• NOSQL == Not Only SQL
• Subjective term (like Web 2.0)
• Usually do not require a fixed table schema nor do they use the concept of
joins
(Cont…)
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5. NoSQL!!!....?
• Coined in 1998 by “Carlos Strozzi” to describe a database that did not
expose a SQL interface
• In 2008, Eric Evans Reintroduced the term to describe the growing non-
RDBMS movement
• Broadly refers to a set of data stores that do not use SQL or a relational
model to store data
• Popularized by large web sites such as Google, Facebook, Twitter and Digg
etc...
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6. Why NoSQL..?
• Modern relational databases simply do not scale to internet proportions
• Sites like Digg,Facebook and Ebay have datasets 10s and 100s of TB large
• ACID support isn’t required for blogs, status updates, product listings etc
• Reduce Object relational impedance
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7. Why NoSQL..?
• GOOD BAD
• Flexible (Schema-less) Immature
• Very scalable No common standards
• Simple to use and operate Poor transaction support
• Eventually consistent Poor query support
• Cheap New Mindset required
• Suited to web applications
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8. NoSQL Use Cases
• Good Example
– Logging data Shopping carts
– Favorites Session Data
• Stick with RDBMS
– Transactions (Orders etc.) LOB applications
– Anything involves $$$ Business-critical data
– Reporting
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9. NoSQL Databases
• XML (myXMLDB, Tamino, Senda)
• Wide Column ( Cassandra, Hbase, Big Table)
• Key/Value (Redis, MemCached with BerkelyDB)
• Graph (neo4j, InfoGrid)
• Document store ( CouchDB, MongoDB)
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10. Overview On MongoDB
• Open source, Document oriented database
• 10gen corporate entity behind development
• Basics
– Document in a MongoDB database are stored in schema-less collections
– Documents are stored in BSON (Binary JSON)
– JavaScript used to Query and Manipulate collections
– Each item in a collection has a unique (primary) key called an “ObjectID”
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11. SQL to Mongo Mapping Chart
SQL term Mongo term
Database Databse
Table Collection
Index Index
Row BSON Document
Column BSON Field
Join Embedding and linking
Primary key _id field
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12. Installing MongoDB on Windows
• Download the binaries from “mongodb.org”
• Create a directory “C:datadb”
• Run “Mongod.exe” from the command line
• Run “Mongo.exe” to execute commands
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13. SQL statement Mongo statement
Create table users ( a Number, b Number) Implicit; can also by done by explicit
db.createCollection(”user”)
Insert into users values (4,5) db.users.insert ( { a:3, b:5 } )
Select * from users db.users.find()
SELECT * FROM users WHERE age=33 db.users.find({age:33}).sort({name:1})
ORDER BY name
SELECT a,b FROM users WHERE age=33 db.users.find({age:33}, {a:1,b:1})
SELECT * FROM users WHERE name LIKE db.users.find({name:/Joe/})
"%Joe%"
SELECT * FROM users WHERE name LIKE db.users.find({name:/^Joe/})
"Joe%"
SELECT * FROM users WHERE age>33 AND db.users.find({'age':{$gt:33,$lte:40}})
age<=40
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14. MongoDB
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15. For further reference
• http://try.mongodb.org/ - Try Commands
• http://nosql-database.org/
• http://www.mongodb.org/
• http://github.com/mongodb/mongo-csharp-driver/downloads.
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16. Thank You
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