MongoDB and Ruby - MongoDB France, 22 June, 2010

MongoDB and Ruby Ruby France Kyle Banker (@hwaet) June 22, 2010 10gen http://www.mongodb.org/ Wednesday, June 23, 2010

In this talk: Wednesday, June 23, 2010

In this talk: 1. Why MongoDB? Wednesday, June 23, 2010

In this talk: 1. Why MongoDB? 2. Demo Wednesday, June 23, 2010

In this talk: 1. Why MongoDB? 2. Demo 3. Rich Documents Wednesday, June 23, 2010

In this talk: 1. Why MongoDB? 2. Demo 3. Rich Documents 4. MongoDB in Ruby Wednesday, June 23, 2010

In this talk: 1. Why MongoDB? 2. Demo 3. Rich Documents 4. MongoDB in Ruby 5. Scaling Wednesday, June 23, 2010

1. Why MongoDB? Wednesday, June 23, 2010

Design goals... Wednesday, June 23, 2010

key-‐value stores Wednesday, June 23, 2010

key-‐value stores relational databases Wednesday, June 23, 2010

“Ruby is designed to be human-oriented. It reduces the burden of programming. It tries to push jobs back to machines. You can accomplish more tasks with less work, in smaller yet readable code.” Wednesday, June 23, 2010

“Ruby is designed to be human-oriented. It reduces the burden of programming. It tries to push jobs back to machines. You can accomplish more tasks with less work, in smaller yet readable code.” - Matz Wednesday, June 23, 2010

“MongoDB is designed to be human-oriented. It reduces the burden of programming. It tries to push jobs back to machines. You can accomplish more tasks with less work, in smaller yet readable code.” Wednesday, June 23, 2010

“MongoDB is designed to be human-oriented. It reduces the burden of programming. It tries to push jobs back to machines. You can accomplish more tasks with less work, in smaller yet readable code.” - Banker (after Matz) Wednesday, June 23, 2010

But people like it for... Wednesday, June 23, 2010

But people like it for... Agile development Wednesday, June 23, 2010

But people like it for... Agile development Web applications Wednesday, June 23, 2010

But people like it for... Agile development Web applications Analytics and logging Wednesday, June 23, 2010

But people like it for... Agile development Web applications Analytics and logging Anything not requiring transactions Wednesday, June 23, 2010

MongoDB in Production Wednesday, June 23, 2010

try.mongodb.org Wednesday, June 23, 2010

2. Demo Wednesday, June 23, 2010

2. Rich Documents Wednesday, June 23, 2010

Wednesday, June 23, 2010

What can we do with rich documents? Wednesday, June 23, 2010

Dynamic Queries Wednesday, June 23, 2010

query operators $ne $not $in $or $nin $gt $mod $gte $all $lt $size $lte $exists $elemMatch Wednesday, June 23, 2010

Atomic Updates Wednesday, June 23, 2010

update operators $inc $set $push $pushAll $pop $pull $pullAll $addToSet Wednesday, June 23, 2010

Map-‐Reduce Wednesday, June 23, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Wednesday, June 23, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Holistic representation. Wednesday, June 23, 2010

Rich document advantages: “Pre-‐joined” for fast retrieval. Holistic representation. Documents easily manipulated by MongoDB Wednesday, June 23, 2010

3. MongoDB in Ruby Wednesday, June 23, 2010

Queries Wednesday, June 23, 2010

Indexes Wednesday, June 23, 2010

Updates Wednesday, June 23, 2010

4. Data Modeling Wednesday, June 23, 2010

post -‐> many comments Relational model: post comments post_id user_id tree attrs Wednesday, June 23, 2010

1. Embedded Document Wednesday, June 23, 2010

2. Embedded and Nested Document Wednesday, June 23, 2010

3. Normalized Collection Wednesday, June 23, 2010

Use Cases 1. Embedded document Fast queries Document always appears w/ parent. Wednesday, June 23, 2010

Use Cases 1. Embedded document Fast queries Document always appears w/ parent. 2. Embedded & nested document Complex hierarchies Document appears with parent Wednesday, June 23, 2010

Use Cases 1. Embedded document Fast queries Document always appears w/ parent. 2. Embedded & nested document Complex hierarchies Document appears with parent 3. Normalized Maximum ﬂexibility. Simpliﬁed global updates. Wednesday, June 23, 2010

E-‐commerce examples Wednesday, June 23, 2010

Remember this? Wednesday, June 23, 2010

Products As rich documents Wednesday, June 23, 2010

Products and Categories Using indexed array keys Wednesday, June 23, 2010

Products and Categories Wednesday, June 23, 2010

Products and Categories (Alternative) Wednesday, June 23, 2010

Product reviews Normalized, rich documents Wednesday, June 23, 2010

5. Scaling Wednesday, June 23, 2010

master-slave replication failover, read-scaling mongod (m) mongod (s) mongod (s) mongod (s) Wednesday, June 23, 2010

client Wednesday, June 23, 2010

mongos client Wednesday, June 23, 2010

Shards m m m m m m m m m mongos client Wednesday, June 23, 2010

Shards m m m Conﬁg m m m m m m Servers mongod mongod mongod mongos client Wednesday, June 23, 2010

Shards m m m ... Conﬁg m m m m m m Servers mongod mongod mongod mongos ... mongos client Wednesday, June 23, 2010

6. Summary Wednesday, June 23, 2010

1. A human-‐oriented database. Wednesday, June 23, 2010

1. A human-‐oriented database. 2. Comprehensible data models Wednesday, June 23, 2010

1. A human-‐oriented database. 2. Comprehensible data models 3. Rich Documents Wednesday, June 23, 2010

1. A human-‐oriented database. 2. Comprehensible data models 3. Rich Documents 4. MongoDB in Ruby Wednesday, June 23, 2010

1. A human-‐oriented database. 2. Comprehensible data models 3. Rich Documents 4. MongoDB in Ruby 5. Scaling Wednesday, June 23, 2010

Thank You mongodb.org twitter.com/mongodb http://www.mongodb.org/ Wednesday, June 23, 2010

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MongoDB and Ruby - MongoDB France, 22 June, 2010

by Kyle Banker

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