MongoDB is a document-oriented database that bridges the gap between key-value stores and traditional relational databases. It uses collections of BSON documents (similar to JSON objects) rather than tables. Queries in MongoDB use JSON-like documents rather than SQL. MongoDB also supports features like embedded documents, dynamic schemas, rich queries and indexing to improve performance.

1. javascript for your datajavascript for your data

2. MongoDB
Bridge the gap between key/val stores and
traditional RDBMS

3. MongoDB
Bridge the gap between key/val stores and
traditional RDBMS

4. MongoDB
the gap
● table

5. MongoDB
the gap
● table → collection

6. MongoDB
collection

7. MongoDB
collection
● BSON document

8. MongoDB
collection
● BSON document
● a set of fields

9. MongoDB
collection
● BSON document
● a set of fields
– key-value pair

10. MongoDB
collection
● BSON document
● a set of fields
– key-value pair
● key: a name (string)

11. MongoDB
collection
● BSON document
● a set of fields
– key-value pair
● key: a name (string)
● val: any basic type
– string, int, float, date, binary, array, document, ...

12. MongoDB
collection
● of BSON documents
● queryable

13. MongoDB
the gap
● table → collection
● SQL

14. MongoDB
the gap
● table → collection
● SQL → query objects

15. MongoDB
Query object

16. MongoDB
Query object
● JSON-like query representation

17. MongoDB
Query object
● JSON-like query representation
● db.users.find({ 'lastname': 'Heckmann' });

18. MongoDB
Query object
{ 'lastname': 'Heckmann' }

19. MongoDB
Query object
{ 'lastname': 'Heckmann' }
could even be an array

20. MongoDB
Query object
{ 'lastname': 'Heckmann'
, 'body.odor': 'nasty'
, 'age': { $gt: 32 }
, ...
}

21. MongoDB
Query object
{ 'lastname': 'Heckmann'
, 'body.odor': 'nasty'
, 'age': { $gt: 32 }
, ...
}

22. MongoDB
Query object
{ 'lastname': 'Heckmann'
, 'body.odor': 'nasty'
, 'age': { $gt: 32 }
, ...
}

23. MongoDB
Query object
{ 'lastname': 'Heckmann'
, 'body.odor': 'nasty'
, 'age': { $gt: 32, $lt: 65 }
, ...
}

24. MongoDB
Query object
$gt
$lt
$ne
$in
$nin
$all
$not
$size
$exists
… more

25. MongoDB
Query object
RegExp too!

26. MongoDB
Query object
RegExp too
db.users.find({ 'lastname': /eckmann$/i });

27. MongoDB
Query object
Subsets
db.users.find({ 'lastname': /eckmann$/i }, { 'age': true });

28. MongoDB
Query object
db.users
.find({ 'lastname': /eckmann$/i })
.sort({ 'lastname': -1 })
.limit(10)
.skip(10*(pageNumber - 1))
;

29. MongoDB
Query object
db.users
.find({ 'lastname': /eckmann$/i })
.sort({ 'lastname': -1 }) ← descending
.limit(10)
.skip(10*(pageNumber - 1))
;

30. MongoDB
Query object
db.users
.find({ 'lastname': /eckmann$/i })
.count()
;

31. MongoDB
● no JOINs

32. MongoDB
● no JOINs
● less normalization

33. MongoDB
● no JOINs
● less normalization
● embedded documents

34. MongoDB
embedded documents

35. MongoDB
embedded documents
{ name: 'aaron'
, scores:
[ { total: 93, class: ObjectID }
, { total: 46, class: ObjectID }
, { total: 20, class: ObjectID }
]
}

36. MongoDB
embedded documents
{ name: 'aaron'
, scores:
[ { total: 93, class: ObjectID }
, { total: 46, class: ObjectID }
, { total: 20, class: ObjectID }
]
}
think foreign keys

37. MongoDB
embedded documents
{ name: 'aaron'
, scores:
[ { total: 93, class: ObjectID }
, { total: 46, class: ObjectID }
, { total: 20, class: ObjectID }
]
}
{ _id: ObjectID
, name: 'how to be a good neighbor'
, teacher: 'mr rogers'
}

38. MongoDB
ObjectID
● unique identifier of a document
● each document has one
● auto inserted if missing

39. MongoDB
Insertion and UpdationInsertion and Updation

40. MongoDB

41. cheesy

42. Atomic OperationsAtomic Operations

43. MongoDB
$set
$unset
$inc
$push
$pushAll
$pop
$pull
$pullAll
$addToSet
$rename
Atomic Ops

44. MongoDB
IndexingIndexing

45. MongoDB
Indexing
● any property
● into embedded documents
● into arrays

46. MongoDB
Indexing
db.users.ensureIndex({ lastname: 1 })
db.users.ensureIndex({ 'body.odor': 1 })
db.users.ensureIndex({ 'body.odor': 1, age: 1 })

47. MongoDB
HTTP InterfaceHTTP Interface

48. MongoDB
HTTP Interface
● http://localhost:28017/
● http://localhost:28017/database/collection/?limit=5
● http://localhost:28017/database/collection/?filter_key=value

49. MongoDB
● Document oriented
● Schema-less
● Rich queries
● Full index support
● Atomic operations
● MapReduce
● Auto-sharding / replication / GridFS

50. MongoDB
Mongoose
● https://github.com/learnboost/mongoose/tree/1.0

51. Thank You
http://www.mongodb.org
https://github.com/mongodb
https://github.com/learnboost/mongoose
https://github.com/christkv/node-mongodb-native
http://www.mongodb.org/display/DOCS/Production+Deployments
https://github.com/aheckmann
http://twitter.com/#!/aaronheckmann