MongoDB is a document-oriented database that is easy to install, uses dynamic queries, and supports dynamic indexing. It stores data in JSON-like documents with dynamic schemas, allowing for complex queries, and uses replication and auto-failover for high availability. The document demonstrates how to install and use MongoDB by creating databases and collections, inserting documents, running queries, updating documents, and creating references between collections using DBRefs.

1. MongoDB
Rawin Viruchpintu
Creative Technology Leader
Spriiing Telecom Co.,Ltd.
July 20, 2012

2. Outline
• MongoDB
• Installation & start
• Using Mongo

3. • Document-oriented
• Dynamic queries
• Full dynamic index support
• Efficient binary large-object storage
• Built for speed
• Replication and Auto-failover

4. Installation & start
• Download
http://www.mongodb.org/downloads
• Unzip into a folder
for example /some/path/mongodb
• Run
$bin/mongod --dbpath=/some/path/mongodb

5. Installation via Rails
• $ gem install mongo
Successfully installed mongo-1.6.4
1 gem installed
Installing ri documentation for mongo-1.6.4...
Installing RDoc documentation for mongo-1.6.4...

6. Database structure
• Separate DBs
• Organized into Collections
Top-level key -> Document
• Collections
– Group things into logical classes
– Indexable by one or more keys
– Schema-free!

7. Database structure
• Document
– Always contains key_id
– Creating Relationships:
subdocument, shared key, or DBRef
– Native storage and transfer: BSON
• BSON
– is a binary encoded serialization of JSON-like
documents.
http://bsonspec.org/

9. Using Mongo
D:mongodbbin>mongo
MongoDB shell version: 2.0.6
connecting to: test
> show dbs
local (empty)
test (empty)
> use test
switched to db test
> db.test.find()
> db.test.save({ name:'windy' , skills: 'blackberry, perl, php' })
> db.test.find()
{ "_id" : ObjectId("5008eb49839a10d95a068a01"), "name" : "windy", "skills" : "bl
ackberry, perl, php" }

10. Using Mongo
>use things
switched to db things
>for ( var i=1; i<10; i++) db.things.save( {x: 'No.'+i, counter: i } )
>db.things.find()
{ "_id" : ObjectId("5008f81d839a10d95a068a02"), "x" : "No.1", "counter" : 1 }
{ "_id" : ObjectId("5008f81d839a10d95a068a03"), "x" : "No.2", "counter" : 2 }
{ "_id" : ObjectId("5008f81d839a10d95a068a04"), "x" : "No.3", "counter" : 3 }
{ "_id" : ObjectId("5008f81d839a10d95a068a05"), "x" : "No.4", "counter" : 4 }
{ "_id" : ObjectId("5008f81d839a10d95a068a06"), "x" : "No.5", "counter" : 5 }
{ "_id" : ObjectId("5008f81d839a10d95a068a07"), "x" : "No.6", "counter" : 6 }
{ "_id" : ObjectId("5008f81d839a10d95a068a08"), "x" : "No.7", "counter" : 7 }
{ "_id" : ObjectId("5008f81d839a10d95a068a09"), "x" : "No.8", "counter" : 8 }
{ "_id" : ObjectId("5008f81d839a10d95a068a0a"), "x" : "No.9", "counter" : 9 }

11. Using Mongo
> db.things.find({x: 'No.4'})
{ "_id" : ObjectId("5008f81d839a10d95a068a05"), "x" : "No.4", "counter" : 4 }
> db.things.find({x: 'No.33'})
>
> db.things.find( { counter : { $gt : 5, $lte : 8} })
{ "_id" : ObjectId("5008f81d839a10d95a068a07"), "x" : "No.6", "counter" : 6 }
{ "_id" : ObjectId("5008f81d839a10d95a068a08"), "x" : "No.7", "counter" : 7 }
{ "_id" : ObjectId("5008f81d839a10d95a068a09"), "x" : "No.8", "counter" : 8 }

12. Using Mongo
> show dbs
local (empty)
things 0.078125GB
> use foo
switched to db foo
> db.foo.save( { name: 'windy', age: 18 } )
> db.foo.find()
{ "_id" : ObjectId("5008fa33839a10d95a068a0b"), "name" : "windy", "age" : 18 }
> db.foo.update( {name: 'windy' }, { $set : { age : 21 } } )
> db.foo.find()
{ "_id" : ObjectId("5008fa33839a10d95a068a0b"), "name" : "windy", "age" : 21 }

13. Using Mongo
> db.foo.findOne( { name: 'windy'} )
{
"_id" : ObjectId("5008fa33839a10d95a068a0b"),
"name" : "windy",
"age" : 21
}

14. Using Mongo
> use teams
switched to db teams
> db.teams.save({ team: 'A' , member : [ 'Kai'] })
> db.teams.find()
{
"_id" : ObjectId("5008fc13839a10d95a068a0c"),
"team" : "A",
"member" : [ "Kai” ]
}
> db.teams.update({ team: 'A' },{ $push : { member : 'Windy' } })
> db.teams.findOne()
{
"_id" : ObjectId("5008fc13839a10d95a068a0c"),
"member" : [ "Kai",
"Windy" ],
“team" : "A"
}

15. Using Mongo
> use simple
switched to db simple
> db.members.save( { name:"Windy", skill: ["java", "php"] } )
> db.teams.save({ team: 'A' })
Members Teams
Windy Project A

16. project_a =
Using Mongo
> windy = db.members.findOne( {name: "Windy"} )
{
"_id" : ObjectId("50090510839a10d95a068a0f"),
"name" : "Windy",
"skill" : [
"java",
"php"
]
}
> project_a = db.teams.findOne( { team : "A" } )
{ "_id" : ObjectId("50090533839a10d95a068a10"), "team" : "A" }
Project A
Windywindy =

17. Using Mongo
> project_a.members = []
[ ]
> project_a.members.push (new DBRef ('members', windy._id) )
1
> db.teams.save(project_a)
> project_a
{
"_id" : ObjectId("50090533839a10d95a068a10"),
"team" : "A",
"members" : [
{
"$ref" : "members",
"$id" : ObjectId("50090510839a10d95a068a0f")
}
]
}
Project A
windy = DBRef( )
Teams

18. Using Mongo
> project_a.members
[ { "$ref" : "members", "$id" : ObjectId("50090510839a10d95a068a0f") } ]
> project_a.members[0]
{ "$ref" : "members", "$id" : ObjectId("50090510839a10d95a068a0f") }
> project_a.members[0].fetch()
{
"_id" : ObjectId("50090510839a10d95a068a0f"),
"name" : "Windy",
"skill" : [
"java",
"php"
]
}

19. THANK YOU