The document discusses various aspects of MongoDB and NoSQL databases, including their architectures and features. It includes information about MongoDB's documentation, a NoSQL meeting with scheduled speakers, and best practices for using the database. Additionally, it covers topics like BSON object IDs, indexed fields, and the use of map-reduce functions for data analysis.

4. 2010 Lots of traffic

7. SQL
* *
SQL
* *

9. NoSQL

10. #NoSQL
Johan Oskarsson

16. 2131101200
252544425
554245453
2456534534

17. {
name: ‘Mongo DB‘,
signification: 'humongous',
fr: ‘enorme',
Release : ‘MongoV3,1'
}
{
name: ‘NoSQL meeting ',
date: ISODate("2016-10-08T09:00:00.382Z"),
speakers: [
{ name: ‘Speacker1' },
{ name: ‘Speacker2’ }
]
}
No schema

18. A chaises C lunettesB Portes1 Choses
A Arabe C AnglaisB Français2 Langues
A C# B JAVA3 Langages

22. RDBMS Mongo DB
Database Database
Table Collection
Tuple/Row Document
Column/attribute/Variable Field
Table Join Embedded Documents
Foreing Key Reference
Index Index
Primary Key Object id _id

23. { id: ’doc1’,
name: ‘Mongo DB‘,
signification: 'humongous',
fr: ‘enorme',
Release : ‘MongoV3,1'
}
{ _id:’doc2’,
name: ‘NoSQL meeting ',
date: ISODate("2016-10-08T09:00:00.382Z"),
speakers: [
{ name: ‘Speacker1' },
{ name: ‘Speacker2’ }
],
programme:{
name: ‘Mongo DB‘,
signification: 'humongous',
fr: ‘enorme',
Release : ‘MongoV3,1'
}
}

24. https://www.tutorialspoint.com/mongodb_terminal_online.php

26. { _id:ObjectId(‘xxxxxxxxxxxxxxxxx’),
name: ‘NoSQL meeting ',
date: ISODate("2016-10-08T09:00:00.382Z"),
speakers: [
{ name: ‘Speacker1' },
{ name: ‘Speacker2’ }
],
programme:{
_id:ObjectId(‘yyyyyyyyyyyy’),
name: ‘Mongo DB‘,
signification: 'humongous',
fr: ‘enorme',
Release : ‘MongoV3,1'
}
}

27. { _id:ObjectId(‘xxxxxxxxxxxxxxxxx’),
name: ‘NoSQL meeting ',
date: ISODate("2016-10-08T09:00:00.382Z"),
speakers: [
{ name: ‘Speacker1' },
{ name: ‘Speacker2’ }
],
programmeid:{ObjectId(‘yyyyyyyyyyyy’),}
}
{
_id:ObjectId(‘yyyyyyyyyyyy’),
name: ‘Mongo DB‘,
signification: 'humongous',
fr: ‘enorme',
Release : ‘MongoV3,1'
}

28. { _id:ObjectId(‘xxxxxxxxxxxxxxxxx’),
name: ‘NoSQL meeting ',
date: ISODate("2016-10-08T09:00:00.382Z"),
speakers: [
{ name: ‘Speacker1' },
{ name: ‘Speacker2’ }
],
programmeid:
{ "$ref" : "creators",
"$id" : ObjectId("5126bc054aed4daf9),
"$db" : "users"
}
}
{_id:ObjectId(‘5126bc054aed4daf9’),
name: ‘Mongo DB‘,
signification: 'humongous',
fr: ‘enorme',
Release : ‘MongoV3,1'
}
Collection : creators
Db : Users

30.  Is 12-byte BSON type :
4 Bytes
a 4-byte value
the Unix epoch
3-byte machine
identifier
2-byte process
id
3-byte counter,
starting
Id = ObjectId()

31. db.<collection >. Find()

32.  Skip()
 Pagin()
 Count()
 Limit()
 Next()
 Foreach()
 Etc

33. db.<collection >. Find(
{_id : ObjectId (‘YYYYYYYYYYYY’)}
)

34. Create Index on any field in the document
// 1 means ascending, -1 means descending
> db.posts.ensureIndex({‘author’: 1});
// unique index
> db.posts.ensureIndex({<field>:
1},{unique:true});

35. db.collection.mapReduce(
<mapfunction>,
<reducefunction>,
{
out: <collection>,
query: <>,
sort: <>,
limit: <number>,
finalize: <function>,
scope: <>,
jsMode: <boolean>,
verbose: <boolean>
}
)
var mapFunction1 = function() { emit(this.cust_id, this.price); };
var reduceFunction1 = function(keyCustId, valuesPrices)
{ return sum(valuesPrices); };

37.  It is a specification for storing and retrieving
files that exceed the BSON-document size
limite of 16 MB.
 Mongofiles -d <db> put photo.jpg
 Db.fs.files.find();

38.  PHP
 C#
 Python
 Ruby
 C++
 Node js
 Etc ,,

39. MongoLab
MongoHQ
AWS
Joyent

40.  Robomongo
 MongoBooster
 MongoDB Compass
 Etc

42. Primary
Secondary Secondary
Driver
Write
Update Update

43. Primary
Secondary Secondary
Heartbeats

44. Primary
Secondary Secondary
Heartbeats

45. Primary
Secondary Secondary
Primary ?

46. Primary
Primary Secondary

47. Secondary
Primary Secondary
Heartbeats

51. Query router

52. Mongo DB V3.0

53. Mongo DB V3.0
Performance & Efficiency
Gains,
New Storage Architecture

54. Thz
Thanks