Keynote MongoDB.local Paris 2018

2. GUILLAUME MEISTER
Principal Solutions Architect
linkedin.com/in/guillaumemeister

3. Merci à nos clients
Et vous tous !

4. MongoDB is the best database for
modern applications
MongoDB is the best database for
modern applications
Developer productivity
Infrastructure agility
Uncompromising user experience

5. Distributed Systems Runs EverywhereDocument Model
MongoDB is the best database for
modern applications

6. Document model
Natural
Dynamic schema
Query language

7. Distributed systems
High Availability
Scale-out
Workload isolation
Zoned sharding

8. Runs anywhere
Consistency
Portability
Security

9. Any use case, any platform
Distributed Systems Runs EverywhereDocument Model
MongoDB is the best database for modern
applications

12. doc = { line_items : [ { item : 5,
quantity : 6 }, … ] }
db.orders.insertOne( doc );
for x in doc.line_items:
db.inventory.update( { _id : x.item },
{ $inc : { number : -1 * x.qty } })

13. doc = { line_items : [ { item : 5,
quantity : 6 }, … ] }
db.orders.insertOne( doc );
for x in doc.line_items:
db.inventory.update( { _id : x.item },
{ $inc : { number : -1 * x.qty } })

14. session.start_transaction()
doc = { line_items : [ { item : 5, quantity: 6 }, … ] }
db.orders.insertOne( doc, session=session );
for x in doc.line_items:
db.inventory.update( { _id : x.item } ,
{ $inc : { number : -1 * x.qty } },
session=session )
session.commit_transaction()

15. Familiar
Conversational
Performant

16. {
order_id,
customer_id
}
{
line_item_id,
order_id
}
session.start_transaction()
db.line_items.update(
{ order_id : my_order_id } ,
{ $mul : { price : discout } },
sesison = my_session)
db.orders.update(
{ order_id : my_order_id } ,
{ $mul : { order_total : discount
} },
session = my_session )
session.end_transaction()

17. {
order_id,
customer_id,
line_items: [
{
name : ,
price : ,
qty : ,
}
]
}
db.orders.update(
{ order_id : my_order_id },
{ $mul :
{ order_total :
discount,
"line_items.$[].price" :
discount }
}
)

18. Distinct business objects
Rollups / Views
In 4.2: modify shard keys

19. Construisez votre
première application
MongoDB
Nic Cottrel
Senior Technical Services Engineer
Session : 10h55

21. MongoDB is the best
database for relationships

22. Relationships
// Order document
{
order_id,
line_items: [ … ],
}
// Inventory document
{
product_id,
inventory
}
{
order_id,
line_items: [
{ product_id,
qty,
subtotal
}
]
}
EMBEDDEDREFERENCE

23. Modélisation de données
pour MongoDB
Daniel Coupal
Senior Curriculum Engineer
Session : 11h45

25. grep -o "[0-9]+ms" <filename> |
sort -n |
tail -n 20 |
uniq |
xargs -n 1 -I x grep x <filename>

26. Composable
Debuggable
Powerful

27. Date
Manipulation
String
Manipulation
Type
Casts

28. db.logs.aggregate( [
{ $sort : { time : -1 } },
{ $limit : 20 },
{ $group : { _id : "$queryShape",
count : { $sum : 1 } }
}
] )

32. db.products.find( {} )
https://api.swagstore.com/products

33. Categories:
S shirts
£ hats
£ socks
https://api.swagstore.com/products?cat=shirts
db.products.find( { category : "shirts" } )

34. Categories:
S shirts
£ hats
£ socks
Brands:
£ IBM
S MongoDB
https://api.swagstore.com/products?cat=shirts&brand=mongodb
db.products.find( { category : "shirts",
brand : "mongodb"
} )

35. Categories:
S shirts
£ hats
£ socks
Brands:
£ IBM
S MongoDB
Price:
…api.swagstore.com/products?cat=shirts&brand=mongodb&priceMin=10&priceMax=120
$Min $Max GO
db.products.find( { category : "shirts",
brand : "mongodb",
price : { $lt : 120, $gt: 10 }
} )

36. Categories:
S shirts
£ hats
£ socks
Brands:
£ IBM
S MongoDB
Price:
Price: Low to High
…ducts?cat=shirts&brand=mongodb&priceMin=10&priceMax=120&sort=price&order=asc
$Min $Max GO
db.products.find( { category : "shirts",
brand : "mongodb",
price : { $lt : 120, $gt: 10 }
} ).sort( { price : 1 } )

37. Categories:
S shirts
£ hats
£ socks
Brands:
£ IBM
S MongoDB
Price:
Rating:
««««
…mongodb&priceMin=10&priceMax=120&sort=price&order=asc&sort2=rating&order2=desc
$Min $Max GO
db.products.find( { category : "shirts",
brand : "mongodb",
price : { $lt : 120, $gt: 10 }
} ).sort( { price : 1, rating : -1 } ) ?!

38. db.products.find( { category : "shirts",
brand : "mongodb",
price : { $lt : 120, $gt: 10 }
} ).sort( { price : 1, rating : -1 } )
Categories:
S shirts
£ hats
£ socks
Brands:
£ IBM
S MongoDB
Price:
Rating:
««««
…mongodb&priceMin=10&priceMax=120&sort=price&order=asc&sort2=rating&order2=desc
$Min $Max GO
MQL
REST (Shitty Query Language)REST

39. Categories:
S shirts
£ hats
£ socks
Brands:
£ IBM
S MongoDB
Price:
Rating:
««««
$Min $Max GO
db.products.find( { category : "shirts",
brand : "mongodb",
price : { $lt : 120, $gt: 10 }
} ).sort( { price : 1, rating : -1 } )

40. Full MongoDB query
language
Fully integrated
authentication
Declarative rules
Atlas Stitch Native SDK
Auth
Rules

43. QueryAnywhere Functions Stitch Triggers Mobile Sync

44. The serverless platform for building
modern applications

45. Faites évoluer votre accès
aux données avec
MongoDB Stitch -
Présentation d'un cas
concret
Nicolas Benhamou
Solutions Architect chez CMA CGM
Emmanuel Macé
Solutions Architect Manager SEUR
Session : 15h40

48. BI 2.5 ChartsODBC Driver

51. Download a public beta from
mongodb.com/charts
Play, learn, provide your feedback! Happy charting!

52. ACID Transactions
Aggregation Pipeline Builder
Stitch QueryAnywhere
Analytics

54. High
Availability
Scale
Out
Workload
Isolation
Zoned
Sharding

55. Latency
Regulation

62. Industry-leading 99.995% Uptime SLA

63. MongoDB ATLAS pour
votre entreprise
Julien Contarin
Solutions Architect
Session : 13h45

65. # Subscribe to change notifications in a collection.
cursor = client.my_db.my_collection.watch([
{'$match': {'operationType':
{'$in': [
'insert',
'replace' ]
}
}},
{'$match': {'fullDocument.n':
{'$gte': 1}}}
])
# Loops forever.
for change in cursor:
print(change['fullDocument'])

69. QueryAnywhere Functions Stitch Triggers Mobile Sync

71. Mise à jour : emmenez vos
applications plus loin grâce
aux Triggers
Maxime Beugnet
Developer Advocate
Session : 16h30

73. Global Clusters
Stitch Triggers

75. Finland
Hong Kong
Los Angeles

77. No lock-in
Regions
Services

80. L’experience client au
centre de la donnée
@AirFrance
Christophe Blanc
Air France
Session : 14h35
Maxime Checconi
Air France
Michael Kargbo
Data Engineer, Air France

82. final Barcode barcode =
data.getParcelableExtra(BarcodeActivity.BARCODE_FIELD);
final Document query = new Document("barcodeId",
barcode.displayValue);
final Document update = new Document("$inc",
new Document("itemsScanned", 1));
final Document after = itemsColl.findOneAndUpdate(
query,
update,
new FindOneAndUpdateOptions().
upsert(true).
returnDocument(ReturnDocument.AFTER));

85. Collection.sync(
documentID,
conflictResolver,
eventListener
);
Mobile sync syntax specifics

86. Stitch Mobile: Sync
Change
Streams
Atlas
Stitch

88. Cross-cloud TBR
Kubernetes
Azure free tier
Mobile Sync Beta

89. QueryAnywhere
Functions
Triggers
Mobile Sync Beta
Global Applications
Multiple Clusters per app
NEW!
NEW!

90. Global Clusters
Free Tier on Azure
Enterprise security features
3 new GCP regions
Industry-leading 99.995% SLA

91. Query enhancements
Free monitoring
Multi-document ACID transactions

92. Any use case, any platform
Distributed Systems Runs EverywhereDocument Model
MongoDB is the best database for modern
applications

93. Et maintenant ?
Construisez votre première application
avec MongoDB
Nic Cotrell

94. Thank You!