Bar Camp Auckland - Mongo DB Presentation BCA4

SELECT wages FROM companies WHERE coders = “sucker”

NO, NO SQL

Wednesday, 21 July 2010

Noise


Lots of pretty pictures to fool you.


Its a change

Its Not Relational - Get Over It.

It is a rich document store.

schemas for mongo : http://www.kurl.ws/wJ


What

MongoDB bridges the gap between key-value stores (which are
fast and highly scalable) and traditional RDBMS systems (which
provide rich queries and deep functionality).

MongoDB (from "humongous") is a scalable, high-performance,
open source, document-oriented database. Written in C++,
MongoDB features:

• Document-oriented storage » JSON-style documents with dynamic schemas offer simplicity and power.
• Full Index Support » Index on any attribute, just like you're used to.
• Replication & High Availability »Mirror across LANs and WANs for scale and peace of mind.
• Auto-Sharding » Scale horizontally without compromising functionality.
• Querying » Rich, document-based queries.
• Fast In-Place Updates »Atomic modiﬁers for contention-free performance.
• Map/Reduce » Flexible aggregation and data processing.
• GridFS » Store ﬁles of any size without complicating your stack.
• Commercial Support »Commercial support, training, and consulting available.

schemas for mongo : http://www.kurl.ws/wJ


Supported Drivers

mongodb.org Supported
• C
• C++
• Java
• Javascript
• Perl
• PHP
• Python
• Ruby
Community Supported
• Lua
• REST
• node.js
• C# and .NET
• Objective C
• Clojure
• PHP
• ColdFusion
• PowerShell
• Delphi
• Python
• Erlang
• Ruby
• Factor
• Scala
• Fantom
• Scheme (PLT)
• F#
• Smalltalk
• Go
• Groovy
• Haskell
• Javascript

more info: www.mongodb.org


Install on ubuntu

EDIT YOUR SOURCES FILE
nano /etc/apt/sources.list

ADD THE FOLLOWING LINE
deb http://downloads.mongodb.org/distros/ubuntu 9.4 10gen

NOW UPDATE APT
apt-get update
apt-get install mongodb-stable

apt-get install php5-dev

INSTALL THE PHP DRIVER
pecl install mongo

All Instructions http://kurl.ws/wH


Install on ubuntu view db stats : http://localhost:28017/


Durability

Durability - You had to ask
Long long story


Examples - from the console



> db.accounts.count() 1
> db.accounts.find().forEach(function(doc){
print(tojson(doc));
});



> use testing
switched to db testing
> db.colors.insert({name:'red', primary:true})
> db.colors.insert({name:'green', primary:true})
> db.colors.insert({name:'blue', primary:true})
> db.colors.insert({name:'purple', primary:false})
> db.colors.insert({name:'orange', primary:false})
> db.colors.insert({name:'yellow', primary:false})

SELECT * from colors WHERE name = 'green' ; because I am sucker.

> db.colors.find({name:'green'})
{ "_id" : ObjectId("4bed7af40b4acd070c593ba7"), "name" : "green",
"primary" : true }



Skip and Limit
db.users.find().skip(20).limit(10);

Limiting Fields, only get ssn
db.users.find({last_name: 'Smith'}, {'ssn': 1});

Greater than
db.collection.find({ "field" : { $gt: value } } );

Values in Embeded Objects
db.postings.find( { "author.name" : "joe" } );

Sort
db.myCollection.find().sort( { ts : -1 } ); // sort by ts, descending order

Upsert
db.people.update( { name:"Joe" }, { $inc: { x:1, y:1 } }, true );


Examples - Real PHP


OLD


Mongo Hub GUI


backup

-fsync (mongo command)
- shutdown copy /data/db
- mongodump


or

Facebook still uses MySQL, a lot. Wikipedia uses MySQL, a
lot. FriendFeed uses MySQL, a lot. NoSQL is a great tool, but
it’s certainly not going to be your competitive edge, it’s not
going to make your app hot, and most of all, your users won’t
give a shit about any of this.
What am I going to build my next app on? Probably Postgres.
Will I use NoSQL? Maybe. I might also use Hadoop and Hive.
I might keep everything in flat files. Maybe I’ll start hacking on
Maglev. I’ll use whatever is best for the job. If I need reporting,
I won’t be using any NoSQL. If I need caching, I’ll probably use
Tokyo Tyrant. If I need ACIDity, I won’t use NoSQL. If I need
a ton of counters, I’ll use Redis. If I need transactions, I’ll use
Postgres. If I have a ton of a single type of documents, I’ll
probably use Mongo. If I need to write 1 billion objects a day,
I’d probably use Voldemort. If I need full text search, I’d
probably use Solr. If I need full text search of volatile data, I’d
probably use Sphinx.


Bar Camp Auckland - Mongo DB Presentation BCA4

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