In this presentation we start by making a comparison between SQL (relational) and NoSQL DBMS. Next, we go through NoSQL DBMS types : column based, key-value based, document oriented and graph oriented dbms. MongoDB is one of the popular document oriented NoSQL DBMS. In this presentation we discovered how data is structured in MongoDB between collections and databases. Then, we jumped to MongoDB queries, we identified all the possible queries : searching, inserting, updating and removing data queries. MongoDB has a set of relevant indexes : text indexes, geographical indexes, unique indexes ...etc. Indexes are a data structures that help the DBMS administrator in accelerating his search queries. At the end, we had an overview about Sharding and Replication in MongoDB.

1. MongoDB
MANSERI Ikram
3CS – SIQ
GDG Algiers Co-manager.
Di_manseri@esi.dz

2. MongoDB is a Document-
Oriented NoSQL DBMS

3. DBMS
DataBase Management System
Software
Manage the storage of your data. .
CRUD Operations.
Security, Availability, Concurrency Control, Consistency,
Integrity to your data.

4. NoSQL
Not Only SQL
SQL NoSQL
Schema-less.Predefined Schema
Redundancy.Normalization (No redundancy).
Scaling out (cluster-friendly).Scaling in.
ACID principles. No ACID principles.
No large data. Large data.

5. NoSQL
Data Models
Key-value
Oriented
Column
Oriented
Document
Oriented
Graph
Oriented

6. Document
BSON – Binary JSON.
{
"_id": " 34058 ",
"first_name" : "Ikram",
"last_name": "MANSERI",
"PreferredColors" : ["Black", "White"],
"address" : {"street": 2 , "city" : "Birkhadem"}
}
Fast Scannability
Data Types
Bsonspec.org

7. MongoDB
DB 1
DB 2
DOC1
DOC2
DOC3
DOC4
DOC5
DOC6
DOC7
DOC1
DOC2
DOC3
DOC4
DOC5
DOC6
DOC7
DOC1
DOC2
DOC3
DOC4
DOC5
DOC6
DOC7
Collection 1
Collection 2
Collection 1

8. MongoDB
Schooling
DOC1
DOC2
DOC3
DOC4
DOC5
DOC6
DOC7
Students
{
"_id": " 34058 ",
"first_name" : "Ikram",
"last_name": "MANSERI",
"PreferredColors" : ["Black", "White"],
"address" : {"street": 2 , "city" : "Birkhadem"}
}
{
"_id": " 34059 ",
"first_name" : " Akram",
"last_name": " Beli",
"PreferredColors" : [« Brown", "White"],
"address" : {"street": 3 , "city" : "Birkhadem"}
" Parents_situations " : " divorced " }

9. Hands on !
- Initiate a connexion to MongoDB server.
- CRUD Operations in MongoDB.

10. Hands on !
Start mongoDB instance (listener) :
> mongod --port 27017 --dbpath C:datadb

11. Start mongoDB session :
> mongo
Visualize your databases:
> show dbs
Create new database called « scolarity » :
> use schooling

12. Create a new collection named « students » :
> db.createCollection(“students”)
Visualize the content of your collection « students »:
> db.students.find()
Create new document on your collection « students » :
> db.students.insert({“first_name” : “yours”,
“last_name” : “yours”})

13. Visualize the content of your collection « students »:
> db.students.find().pretty()
Insert multiple documents at once in your collection « students » :
> db.students.insert([{“first_name” : “yours”,
“last_name” : “yours”},
{“first_name”: “Amine”, “last_name” : “Ali”, “age”
: 45}])

14. Hands off !

15. CRUD Operations
> db.CollectionName.Op()
findinsert removeupdate

16. CRUD Operations
> db.CollectionName.insert ({doc} / [{},{}],
…{writeConcern: {doc},
…ordered: true/false }
)

17. CRUD Operations
> db.CollectionName.find({“field”:value}, {“field”:0/1, “field”:0/1})
Document criteria Visualized fields

18. CRUD Operations
> db.CollectionName.update({},{},true/false,true/false)
upsert multi

19. CRUD Operations
update
Full update
Partial update

20. Di_manseri@esi.dz
CRUD Operations
Partial update
> db.CollectionName.update({},{$cmd:{}},true/false,true/false)
$set
$unset
$inc
$push
$pop
+ 50

21. CRUD Operations
> db.CollectionName.remove({field:value})

22. > mongoimport -c products -d prd --file Products.json
Hands on !

23. CRUD Operations
Increment term_years by 3, for all products of type : tv.
> db.products.update({type:”tv”}, {$inc:{term_year:3}},false,true)

24. CRUD Operations
find products which have term_years > 3.
> db.products.find({term_years : {$gt : 3}})

25. CRUD Operations
find products which have the field “limits” set.
> db.products.find({limits : {$exists : true}})

26. CRUD Operations
Insert a set of documents at once.
> var bulk = db.products.initializeUnorderedBulkOp();
> bulk.insert({“name”:””, “type”:””})
> bulk.insert ({“name”:””, “type”:””})
> bulk.execute ()

27. Hands off !

28. Great stuff about MongoDB
Different type of Indexes.
Replication.
Sharding.

29. Indexes
- Index by default : _id.
- Compound indexes.
- Unique Indexes.
- Sparse indexes.
- Geospatial indexes.
- Text indexes … +2

30. Indexes
Unique indexes :
db.collection.ensureIndex({field:1,…}, {unique:true})
Sparse indexes
db.collection.ensureIndex({field:1,…}, {sparse:true})

31. db.collection.ensureIndex({loc:”2dsphere”})
Geospatial indexes
db.collection.find({loc: {$near : {
geometry : {
{type : “Point”, coordinates : [2,3]},
spherique : true }
}
})

32. db.collection.find(phrase : “/word/”)
Text indexes
db.collection.ensureIndex({phrase : “text”})
db.collection.find({$text : {$search: “word”} })

33. Drop indexes
db.collection.dropIndexes()

34. Explain plans & execution statistics
How do I examine the performance of my query ?
How can I know the indexes which have been used for my
query ?
> db.coll.explain().find({a:1}).sort({b:-1})

35. Replication
Primary server
Seconday serverSeconday serverSeconday server
oplog
Replica Set

36. Sharding
My Data
Shard 3Shard 2Shard 1

37. Thank you!
MANSERI Ikram
3CS – SIQ
GDG Algiers Co-manager.
Di_manseri@esi.dz

38. MANSERI Ikram
3CS – SIQ
GDG Algiers Co-manager.
Di_manseri@esi.dz