Tokyo, nov 1st 2010.

1. Roger Bodamer @rogerb

2. Baseball
World Series
Giants lead 3-1 over Rangers

3. What is MongoDB?
quick introduction
design session
deploy mongodb
scaling

4. MongoDB adoption is very strong
90,000
Database
downloads
per month

5. Over 1,000 Production
Deployments

6. Platform and Language support
MongoDB is Implemented in C++ for best performance
Platforms 32/64 bit
• Windows
• Linux, Mac OS-X, FreeBSD, Solaris

7. Platform and Language support
MongoDB is Implemented in C++ for best performance
Platforms 32/64 bit
• Windows
• Linux, Mac OS-X, FreeBSD, Solaris
Language drivers for
• Ruby / Ruby-on-Rails
• Java / C# / JavaScript
• C / C++
• Erlang
• Python, Perl
• others...
.. and much more ! ..

8. non-­‐relational,
next-­‐generation
operational
datastores
and
databases
NoSQL Really
Means:

9. RDBMS
(Oracle,
MySQL)

10. RDBMS
(Oracle,
MySQL)
New Gen.
OLAP
(vertica,
aster,
greenplum)

11. RDBMS
(Oracle,
MySQL)
New Gen.
OLAP
(vertica,
aster,
greenplum)
Non-relational
Operational
Stores
(“NoSQL”)

12. Philosophy:
maximize
features
-­‐
up
to
the
“knee”
in
the
curve,
then
stop
depth
of
functionality
scalability
&
performance
• memcached
• key/value
• RDBMS

13. Horizontally Scalable
Architectures
no
joins
no
complex
transactions+

14. New Data Models
no
joins
no
complex
transactions+

15. Improved ways to develop
New Data Models
-­‐>

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

17. MongoDB Design Session

18. MongoDB Design Session
Blog Post Document
p
=
{author:
“roger”,
date:
new
Date(),
text:
“Spirited
Away”,
tags:
[“Tezuka”,
“Manga”]}
>db.posts.save(p)

19. Query Posts Collection
>db.posts.find()
{ _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
author : "roger",
date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)",
text : "Spirited Away",
tags : [ "Tezuka", "Manga" ] }
Notes:
- _id is unique, but can be anything you’d like

20. Create index on any Field in Document
// 1 means ascending, -1 means descending
>db.posts.ensureIndex({author: 1})
>db.posts.find({author: 'roger'})
{ _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
author : "roger",
... }
Secondary Index

21. Query operators
Conditional operators:
$ne, $in, $nin, $mod, $all, $size, $exists, $type, ..
$lt, $lte, $gt, $gte, $ne, ...
// find posts with any tags
>db.posts.find({tags: {$exists: true}})

22. Query operators
Conditional operators:
$ne, $in, $nin, $mod, $all, $size, $exists, $type, ..
$lt, $lte, $gt, $gte, $ne,
// find posts with any tags
>db.posts.find({tags: {$exists: true}})
Regular expressions:
// posts where author starts with r
>db.posts.find({author: /^r*/i })

23. Query operators
Conditional operators:
$ne, $in, $nin, $mod, $all, $size, $exists, $type, ..
$lt, $lte, $gt, $gte, $ne,
// find posts with any tags
>db.posts.find({tags: {$exists: true}})
Regular expressions:
// posts where author starts with k
>db.posts.find({author: /^k*/i })
Counting:
// posts written by roger
>db.posts.find({author:
“roger”}).count()

24. Extending the Schema
comment = {author: “fred”,
date: new Date(),
text: “Best Movie Ever”}
update = { ‘$push’: {comments: comment}}
>db.posts.update({_id:
“...”
},
update)
Adding Comments to Blog

25. { _id : ObjectId("4c4ba5c0672c685e5e8aabf3"),
author : "roger",
date : "Sat Jul 24 2010 19:47:11 GMT-0700 (PDT)",
text : "Spirited Away",
tags : [ "Tezuka", "Manga" ],
comments : [
{
author : "Fred",
date : "Sat Jul 24 2010 20:51:03 GMT-0700 (PDT)",
text : "Best Movie Ever"
}
]}

26. // create index on nested documents:
>db.posts.ensureIndex({"comments.author": 1})
>db.posts.find({comments.author:”Fred”})
Secondary Index

27. Deploying MongoDB

28. Deploying MongoDB
Primary
Read
/
Write

29. Deploying MongoDB
Primary
Secondary
Read
/
Write
Replication

30. Setting Up MongoDB
Primary
Secondary
Read
/
Write
Secondary
for
Backup
Replication
Replication

31. Setting Up MongoDB
Primary
Secondary
Read
/
Write
Secondary
for
Backup
Read Replication
Replication

32. Setting Up MongoDB
Primary
Secondary
Read
/
Write
Secondary
for
Backup
Read Replication
Replication
Replicaset

33. Read Scalability : Replication
write
read
ReplicaSet
1
Primary
Secondary
Secondary

34. Write Scalability: Sharding
write
read
ReplicaSet
1
Primary
Secondary
Secondary
ReplicaSet
2
Primary
Secondary
Secondary
ReplicaSet
3
Primary
Secondary
Secondary
key
range
0
..
30
key
range
31
..
60
key
range
61
..
100

35. Monitoring
• We like Munin ..
• ... but other frameworks
work as well
• Primary function:
• Measure stats over time
• Tells you what is going on with
your system

36. MongoDB makes building
applications easy
Designed a Blog Schema
Evolved the Schema
Deployed MongoDB
Scale MongoDB

37. MongoDB makes building
applications easy
Map / Reduce
Capped Collections
Tail-able Cursors
Geo Indexing
.. and much more ! ..

38. @mongodb
conferences,
appearances,
and
meetups
http://www.10gen.com/events
http://bit.ly/mongoG
Facebook
|
Twitter
|
LinkedIn
http://linkd.in/joinmongo
download at mongodb.org
We’re Hiring !
roger@10gen.com