The document discusses NoSQL and MongoDB. It provides an overview of NoSQL databases, why they are used, example use cases, and key features of MongoDB. It also covers how to install and run MongoDB on Windows and demonstrates equivalent SQL and MongoDB queries.

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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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