The webinar will discuss building web applications with MongoDB and Spring, starting at 11:00 AM EDT. Attendees should connect their audio via the broadcast or dial-in number listed. A recording of the webinar will be available 24 hours after it concludes.

1. @MongoDB
Webinar Building Web Applications with MongoDB and Spring will begin
at 11:00 AM EDT / 8:00 AM PDT / 3:00 PM UTC
Audio should start immediately when you log into the event via Audio
Broadcast. You will need a Voip headset and reliable internet
connection for Audio Broadcast. If you are having issues connecting,
please dial 1-877-668-4493; Access code: 669 104 658.
There is a Q&A following the webinar.
A recording of the webinar will be available 24 hours after the
event is complete.

2. IT needs are evolving...
Agile Development
• Iterative
• Continuous
Data Volume, Type &
Use
• Trillions of records
• 100’s of millions of
queries per second
• Real-Time Analytics
• Unstructured / semi- New Hardware
structured
Architectures
• Commodity servers
• Cloud Computing
• Horizontal Scaling

3. Is there a better way?

4. Terminology
RDBMS MongoDB
Table Collection
Row(s) JSON Document
Index Index
Join Embedding & Linking
Partition Shard
Partition Key Shard Key

5. Lets build a Spring Data MongoDB App!

6. Welcome to Dev News
User Story 1:
As a user I should be able to create “News Articles”

7. What is a News Article?
{
title: “What is new in 2.2 MongoDB”,
date : new Date(),
author : “Fred”
text : “.......”
}

8. Example 1 - Create

9. Welcome to Dev News
User Story 1:
As a user I should be able to create “News Articles”
User Story 2:
As a user I should be able to find a “News Articles” by Name

10. Example 2 - Query

11. Example 3 - Repo

12. Welcome to Dev News
User Story 1:
As a user I should be able to create “News Articles”
User Story 2:
As a user I should be able to find a “News Articles” by Name
User Story 3:
As a user I should be able to comment on “News Articles”

13. What is a Comment?
{
title: “What is new in 2.2 MongoDB”,
date : new Date(),
author : “Fred”
text : “.......”
tags : [“mongodb”, “nosql”]
comments : [
{author : “chris”, text: “this is great” , date : new Date()},
{author : “tom”, text: “rock on”, date : new Date()}
]

14. Example 4 - Comments

15. Welcome to Dev News
User Story 1:
As a user I should be able to create “News Articles”
User Story 2:
As a user I should be able to find a “News Articles” by Name
User Story 3:
As a user I should be able to comment on “News Articles”
User Story 4:
As a user I want to know how many comments are on a “Articles”

16. What is a Comment?
{
title: “What is new in 2.2 MongoDB”,
....
comments : [
{author : “chris”, text: “this is great” , date : new Date()},
{author : “tom”, text: “rock on”, date : new Date()}
],
comments_count : 2
}

17. Example 5 - Inc

18. Least durability - Don't use!
Driver Primary
write
apply in memory

19. Wait for Journal Sync
Same as RDBMS
Driver Primary
write
getLastError apply in memory
j:true
Write to journal

20. More durability
Driver Primary Secondary
write
getLastError apply in memory
w:2
replicate

21. Replica Set
Data Protection
Multiple copies of the data
Spread across Data Centers, AZs
High Availability
Automated Failover
Automated Recovery

22. Replica Sets
Java Write
App Primary
Asynchronous Replication
Read
Secondary
Secondary

23. Replica Sets
Java Write
App Primary
Read
Secondary
Secondary

24. Replica Sets
Java
App Primary
Write
Primary Automatic Election of new
Primary
Read
Secondary

25. Replica Sets
Java
App Recovering
Write New primary serves data
Primary
Read
Secondary

26. Replica Sets
Java
App Secondary
Write
Primary
Read
Secondary

27. Durability Summary
Memory Journal Secondary Other Data Center
RDBMS
Default
"Fire & Forget"
w=1
w=1
j=true
w="majority"
w=n
w="myTag"
Less More

28. Example 6 - Write Concern

29. Eventual Consistency
http://www.flickr.com/photos/26095468@N04/3779692985

30. Understanding Eventual Consistency
Thread #1 Primary Secondary
Insert v1

31. Understanding Eventual Consistency
Thread #1 Primary Secondary
Insert v1
v1

32. Understanding Eventual Consistency
Thread #1 Primary Secondary
Insert v1
Read
v1

33. Understanding Eventual Consistency
Thread #1 Primary Secondary
Insert v1
reads v1 Read
v1

34. Understanding Eventual Consistency
Thread #1 Primary Secondary
Insert v1
reads v1 Read
v1
Update v2

35. Understanding Eventual Consistency
Thread #1 Primary Secondary
Insert v1
reads v1 Read
v1
Update v2
v2

36. Understanding Eventual Consistency
Thread #1 Primary Secondary
Insert v1
reads v1 Read
v1
Update v2
Read v2

37. Understanding Eventual Consistency
Thread #1 Primary Secondary
Insert v1
reads v1 Read
v1
Update v2
reads v2 Read v2

38. Understanding Eventual Consistency
Thread #1 Primary Secondary Thread #2
Insert v1
Read
v1
Update v2
Read v2

39. Understanding Eventual Consistency
Thread #1 Primary Secondary Thread #2
Insert v1
Read
v1
Update v2
Read v2

40. Understanding Eventual Consistency
Thread #1 Primary Secondary Thread #2
Insert v1
v1 does not
exist on
Read Secondary
v1
Update v2
Read v2

41. Understanding Eventual Consistency
Thread #1 Primary Secondary Thread #2
Insert v1
v1 does not
exist on
Read Secondary
v1
Update v2
Reads v1 but
Primary at v2
Read v2
Read v2

42. Example 7 - Eventual Consistency

43. Questions
• MongoDB 2.2
– Improved concurrency
– Tag-aware sharding
– Aggregation framework
– TTL collections
• Free online MongoDB training
– Develop
– Deploy
– Classes start Oct. 2012