Lets learn the philosophy NOSQL takes (from a developer's standpoint), the changes you'll (not) have to take, discuss mongo, and see some practical examples! These are my first revision of this talk and will be making some organizational improvements late.

1. NOSQL 101
Or: How I Learned To Stop Worrying And Love The Mongo

2. Who Am I?
• Daniel Cousineau
• Sr. Software Applications Developer at
Texas A&M University
• dcousineau@gmail.com
• Twitter: @dcousineau
• dcousineau.com

3. In the beginning... there
was Accounting.

4. Row Based, Fixed Schema

5. The RDBMS was
created to address this
usage.

6. RDBMS Ideology
• ACID
• Atomicity
• Consistency
• Isolation
• Durability
• All or nothing, no corruption, no mistakes
• Accounting errors are EXPENSIVE!

7. RDBMS Ideology
• Pessimistic
• Consistency at the end of EVERY step!

8. Moore’s Law happened.

9. Computers took on
more complex tasks...

10. Problems became...
Dynamic

11. NOSQL attempts to
address the Dynamic.

12. What is NOSQL?

13. What Is NOSQL?
• Any data storage engine that does not use
a SQL interface and does not use relational
algebra

14. NOSQL Ideology
• BASE
• Basically Available
• Soft state
• Eventually consistent
• Zen-like
• Content loss isn’t that big of a deal

15. NOSQL Ideology
• Optimistic
• State will be in flux, just accept it

16. NOSQL Ideology
• Don’t Do More Work Than You Have To
• Don’t Unnecessarily Duplicate Effort

17. NOSQL is diverse...

18. Types of NOSQL
• Key-Value Stores
• memcache/memcachedb
• riak
• tokyo cabinet/tyrant

19. Types of NOSQL
• Column-oriented
• dynamo
• bigtable
• cassandra

20. Types of NOSQL
• Graph
• neo4j

21. Types of NOSQL
• Document-oriented
• couchdb
• MongoDb

22. Lets focus on
MongoDB...

23. Why MongoDB?
• Because it’s what I need
• Because I understand it
• Because I’ve used it
• Because it’s easy
• Because it has superior driver support
• Because I said so

24. Support?
• Operating Systems • Official Drivers
• OSX 32/64bit • C, C++, Java,
JavaScript, Perl, PHP,
• Linux 32/64bit Python, Ruby
• Windows 32/64bit • Community Drivers
• Solaris i86pc • REST, C#, Clojure, ColdFusion,
Delphi, Erlang, Factor, Fantom, F#,
• Solaris 64 Go, Groovy, Haskell, Lua, Obj-C,
PowerShell, Scala, Scheme, Smalltalk

25. What is MongoDB?
• A document-based storage system
• Databases contain collections, collections
contain documents
• Documents are arbitrary BSON (extension
of JSON) objects
• No schema is enforced

26. What is MongoDB?
• Drivers expose MongoDB query API to
languages in a form familiar and native
• Drivers usually handle serialization
• You always work in native system
objects, BSON is really only used
internally

27. Install MongoDB
$ wget http://fastdl.mongodb.org/osx/mongodb-osx-x86_64-1.6.0.tgz
$ tar -xzvf ./mongodb-osx-x86_64-1.6.0.tgz
$ ./mongodb-osx-x86_64-1.6.0/bin/mongod --dbpath=/path/to/save/db

28. Manage MongoDB
$ ./mongodb-osx-x86_64-1.6.0/bin/mongo
MongoDB shell version: 1.6.0
connecting to: test
> db.foo.save( {a:1} )
> db.foo.find()
{ "_id" : ObjectId("4c60d0143cd09f6d17a18094"), "a" : 1 }
>

29. Simple Queries
$ ./mongodb-osx-x86_64-1.6.0/bin/mongo
MongoDB shell version: 1.6.0
connecting to: test
> db.foo.find()
Get All Records
> db.foo.find( {a: 1} )
Get All Records Where Property ‘a’ Is 1
> db.foo.find( {a: 1}, {_id: 1} )
Get The ‘_id’ Property Of All Records Where ‘a’ Is 1
> db.foo.find().limit( 1 )
Get 1 Record
> db.foo.find().sort( {a: -1} )
Get All Records Sorted By Property ‘a’ In Reverse
>

30. Some Common
Questions

31. So I should chose
MongoDB over MySQL?
• Bad Question!
• 90% of the time you’ll probably implement
a hybrid system.

32. When should I use
MongoDB?
• When an ORM is necessary
• It’s in the name, Object-Relational
Mapper
• When you use a metric ton of 1:n and n:m
tables to generate 1 object
• And you rarely if ever use them for
reporting

33. MongoDB performance
is better?
• Too simple of a question
• Performance comparable, MySQL usually
wins sheer query speed
• Sterilized Lab Test
• MongoDB usually wins due to fewer
queries required and no object reassembly
• The Real World

34. Can MongoDB enforce
a schema?
• You can add indexes on arbitrary
keypatterns
• Otherwise, why?
• Application is responsible for correctness
and error handling, no need to duplicate

35. Can I trust eventual
consistency?
• No, but you shouldn’t trust ACID either
• Build your application to be flexible and to
handle consistency issues
• Stale data is a fact of life

36. Can MongoDB Handle
Large Deployments?
1.2 TB over 5 billion records
600+ million documents
Migrating ENTIRE app from Postgres
http://www.mongodb.org/display/DOCS/Production+Deployments

37. Can MongoDB Handle
Large Deployments?
• huMONGOousDB
• 32-bit only supports ~2.5GB
• Memory-mapped files
• Individual documents limited to 4MB

38. Why waste time with
theory?

39. 2 Case Studies

40. The ‘Have Done’
http://orthochronos.com

41. Very Simple
• Daemon does insertion in the background
• Front end just does simple grabs
• Grab 1, Grab Many, etc.

42. Data Model
• System has Stocks
• Each Stock has Daily (once per day) and
IntraDaily (every 15 minutes) data
• Limited to trading hours
• Each set of data (daily or intradaily) has 4
Graphs
• Each graph has upwards of 6 Lines
• Each line has between 300 to 800 Points

43. Data Model
• With each data point representing 1
minute, each 15-minute IntraDay graph will
have about 785 overlapping points with the
preceding graph
• Why not consolidate into a single running
table, and just SELECT ... LIMIT 800
points from X timestamp?

44. Data Model
• The Algorithm will cause past points to
change
• But each graph should be preserved so one
can see the historical evolution of a given
curve

45. Data Model
• Now imagine implementing these
requirements in a traditional RDBMS

46. Data Model
• Instead, lets see my MongoDB
implementation

47. Database Layout
~/MongoDB/bin $ ./mongo
MongoDB shell version: 1.6.0
connecting to: test
> use DBNAME
switched to db DBNAME
> show collections
aapl
aapl.daily
aapl.intraday
acas
acas.daily
acas.intraday
...
wfr
wfr.daily
wfr.intraday
x
x.daily
x.intraday

48. Stock ‘Metadata’
{ "_id" : ObjectId("4c5a15038ead0eec04000000"), "timestamp" : 1228995000,
"data" : [ "0", "92", "0" ] }

49. Interval Data
{ "_id" : ObjectId("4bb901cc8ead0e041a0d0000"), "timestamp" : 1228994100, "number" : 3, "charts" : [
{
"number" : "1",
"data" : [
-99999,
-99999,
-99999,
-99999,
-99999
],
"domainLength" : 300,
"domainDates" : [
"Tue Nov 25 10:45:00 GMT-0500 2008",
...
],
"lines" : [
{
"first" : 76,
"last" : 300,
"points" : [
{
"index" : 1,
"value" : 0
},
{ ... }
]
}, { ... }, { ... }, { ... }, { ... }, { ... }
]
}, { ... }, { ... }, { ... }
] }

50. Connect
/**
* @return MongoDB
*/
protected static function _getDb()
{
static $db;
if( !isset($db) )
{
$mongo = new Mongo();
$db = $mongo->selectDb('...db name...');
}
return $db;
}

51. SELECT TOP 1...
//...
$db = self::_getDb();
$collection = $db->selectCollection(strtolower($symbol));
$dti = $collection->find()
->sort(array(
'timestamp' => -1
))
->limit(1)
->getNext();
//...

52. Get Specific Timestamp
//...
$tstamp = strtotime($lastTimestamp);
$cur = $collection->find(array(
'timestamp' => $tstamp
))
->limit(1);
//...

53. Only Get Timestamps
//...
$dailyCollection = $db->selectCollection(strtolower($symbol).'.daily');
$dailyCur = $dailyCollection->find(array(), array('timestamp'))
->sort(array(
'timestamp' => 1
));
foreach( $dailyCur as $timestamp ) {
//...
}
//...

54. Utilizing Collections
//...
$db = self::_getDb();
$stocks = array();
foreach( $db->listCollections() as $collection )
{
$collection_name = strtolower($collection->getName());
if( preg_match('#^[a-z0-9]+$#i', $collection_name) )
{
$collection_name = strtoupper($collection_name);
$stocks[] = $collection_name;
}
}
sort($stocks);
//...

55. The ‘Wish I Did’

56. Not Too Terrible
• Keep track of Student Cases
• A case keeps track of demographics,
diagnoses, disabilities, notes, schedule, etc.
• Also tracks Exams
• Schedule multiple exams per course
• Finally, students can log into a portal,
counselors can log in
• Basic user management

57. Mostly Static
• Most information display only
• Even with reporting

58. So I used good old
fashioned RDBMS
design...

59. lolwut?

60. Instead...
• A collection for Student Cases
• A collection for Courses
• etc...
• Denormalize!

61. Boyce-Codd Who?

62. {
A Student Document
"_id":ObjectId("4c5f572e8ead0ed00d0f0000"),
"uin":"485596916", "disabilities":[
"firstname":"Zach", "Blind",
"middleinitial":"I", "Asthma"
"lastname":"Hill", ],
"major":"ACCT", "casenotes":[
"classification":"G4", ...
"registrationdate":"2008-03-09", {
"renewaldates":[ "counselor":"Zander King",
... "note":"lorem ipsum bibendum enim ..."
{ }
"semester":"201021", ],
"date":"2010-05-15" "schedules":[
} {
], "semester":"201021",
"localaddress":{ "courses":[
"street":"9116 View", ...
"city":"College Station", {
"state":"TX", "$ref":"courses",
"zip":"77840" "$id":ObjectId(...)
}, }
"permanentaddress":{ ]
"street":"3960 Lake", }
"city":"Los Angeles", ]
"state":"CA", }
"zip":"90001"
},

63. A Course Document
{
"_id" : ObjectId("4c5f572e8ead0ed00d000000"),
"subject" : "MECH",
"course" : 175,
"section" : 506,
"faculty" : "Dr. Quagmire Hill"
}

64. I lied...

65. MongoDB DBRef
• Similar to FK
• Requires driver support
• Not query-able

66. But can we do
everything we need?

67. Paginate?
> db.students.find( {}, {_id:1} ).skip( 20 ).limit( 10 )
{ "_id" : ObjectId("4c5f572e8ead0ed00d230000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d240000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d250000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d260000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d270000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d280000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d290000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d2a0000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d2b0000") }
{ "_id" : ObjectId("4c5f572e8ead0ed00d2c0000") }
>

68. Only Renewed Once?
> db.students.find( {renewaldates: {$size: 1}}, {_id:1, renewaldates:1} )
{ "_id" : ObjectId("4c5f572e8ead0ed00d150000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d190000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d440000"), "renewaldates" : [ { "semester" : "201021", "date" : "2010-05-15" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d460000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d4e0000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d660000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d6f0000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d720000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d750000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d800000"), "renewaldates" : [ { "semester" : "201021", "date" : "2010-05-15" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d880000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d8d0000"), "renewaldates" : [ { "semester" : "201021", "date" : "2010-05-15" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d8f0000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
{ "_id" : ObjectId("4c5f572e8ead0ed00d940000"), "renewaldates" : [ { "semester" : "201031", "date" : "2010-08-16" } ] }
>

69. How Many Blind
Asthmatics?
> db.students.find( {disabilities: {$in: ['Blind', 'Asthma']}} ).count()
76
>

70. Who Lives On Elm?
> db.students.find( {'localaddress.street': /.*Elm/}, {_id:1, 'localaddress.street':1} )
{ "_id" : ObjectId("4c5f572e8ead0ed00d220000"), "localaddress" : { "street" : "2807 Elm" } }
{ "_id" : ObjectId("4c5f572e8ead0ed00d290000"), "localaddress" : { "street" : "5762 Elm" } }
{ "_id" : ObjectId("4c5f572e8ead0ed00d400000"), "localaddress" : { "street" : "6261 Elm" } }
{ "_id" : ObjectId("4c5f572e8ead0ed00d610000"), "localaddress" : { "street" : "7099 Elm" } }
{ "_id" : ObjectId("4c5f572e8ead0ed00d930000"), "localaddress" : { "street" : "4994 Elm" } }
{ "_id" : ObjectId("4c5f572e8ead0ed00d960000"), "localaddress" : { "street" : "3456 Elm" } }
>

71. Number Registered On
Or Before 2010/06/20?
> db.students
.find( {$where: "new Date(this.registrationdate) <= new Date('2010/06/20')"} )
.count()
136
>

72. Update Classification?
> db.students.find( {uin:'735383393'}, {_id: 1, uin: 1, classification: 1} )
{ "_id" : ObjectId("4c60dae48ead0e143e0f0000"), "uin" : "735383393", "classification" : "G2" }
> db.students.update( {uin:'735383393'}, {$set: {classification: 'G3'}} )
> db.students.find( {uin:'735383393'}, {_id: 1, uin: 1, classification: 1} )
{ "_id" : ObjectId("4c60dae48ead0e143e0f0000"), "uin" : "735383393", "classification" : "G3" }
>

73. Home Towns?
> db.students.distinct('permanentaddress.city')
[
"Austin",
"Chicago",
"Dallas",
"Denver",
"Houston",
"Los Angeles",
"Lubbock",
"New York"
]
>

74. Number of students by
major?
> db.students
.group({
key: {major:true},
cond: {major: {$exists: true}},
reduce: function(obj, prev) { prev.count += 1; },
initial: { count: 0 }
})
[
{"major" : "CPSC", "count" : 12},
{"major" : "MECH", "count" : 16},
{"major" : "ACCT", "count" : 18},
{"major" : "MGMT", "count" : 18},
{"major" : "FINC", "count" : 16},
{"major" : "ENDS", "count" : 15},
{"major" : "ARCH", "count" : 18},
{"major" : "ENGL", "count" : 15},
{"major" : "POLS", "count" : 22}
]
>

75. How Many Students In
A Course?
> db.students
.find({'schedules.courses': {$in: [
new DBRef('courses', new ObjectId('4c60dae48ead0e143e000000'))
]}})
.count()
25

76. No Time To Cover...
• Map-Reduce
• MongoDB has it, and it is extremely
powerful
• GridFS
• Store files/blobs
• Sharding/Replica Pairs/Master-Slave

77. Q&A

78. Resources
• BASE: An Acid Alternative
http://queue.acm.org/detail.cfm?id=1394128
• PHP Mongo Driver Reference
http://php.net/mongo
• MongoDB Advance Query Reference
http://www.mongodb.org/display/DOCS/Advanced+Queries
• MongoDB Query Cheat Sheet
http://www.10gen.com/reference
• myNoSQL Blog
http://nosql.mypopescu.com/