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Confessions of a relational addict Chandra Patni
Twitter @cpatni
Architecture
http://www.seas.upenn.edu/~zives/03f/cis550/codd.pdf Volume 13 / Number 6 / June 1970 Volume 13 / Number 6 / June 1970
Promise of ACID Atomicity Consistency Isolation Durability
READ COMMITTED may block
ANSI/ISO SQL... READ UNCOMMITTED to allow for non-blocking reads
But allowed dirty reads...
Isolation. Really?
Locking Lock Escalation Read Lock Write Lock Table Lock
MVCC For transactional memory
Readers don’t block readers Readers don’t block writers Writers don’t block writers Writers block writers (serialized)
Living in a bliss
Until...
need redundancy
scale reads
scale writes
horizontally
Solutions...
replication to scale reads
cache through writes
expensive solution for redundancy
mongodb
Distributed database from ground up
replication in a minute (HA)
built-in cache through writes
replicate if you care about your data
sharding (scale out)
Effective Design
Domain objects rarely fit in a table row
 
 
join to assemble domain objects
mongo documents as pre-assembled domain objects
in place updates ($set, $push)
New hotness
Multikeys
Map reduce map = function () {  for (var i = 0; i < this.tags.length; i++) {  emit(this.tags[i], this.state == &quot;published&quot; ? 1 : 0);  }  } reduce = function (key, values) {  var total = 0;  for (var i = 0; i < values.length; i++) {  total += values[i];  }  return total;  }
Capped collections
Geospatial
GridFS
Rubber meets the road
Realtime Dashboard
Realtime Dashboard Realtime stats for 1 sec, 5 secs, 15 secs 4K updates per second pywebsocket
IGN Media: Editorial Generated Content
Content in Mongodb Master/slave over filer for instant backups 100 ops Ruby on Rails backend MongoMapper Integrate Solr Search with MongoMapper:  http://github.com/tsxn26/customized-mongomapper-search XML/JSON serialization:  http://github.com/rubyorchard/mongomapper
 
RESTful API
Game Schema Design Rapid Schema Revision Optimize canonical use-case
IGN Social: User Generated Content Manish Pandit
Activity Streams 3M documents @10-15 qps, @5 updates/sec Moving to activity propagation: 4 documents for every user, i.e. a total of 2M documents with arrays of 500 activities each Move to replica sets on 1.7
Meta+Level Games
Shadelight Data in MongoDB and Redis Replicated in real-time to slave servers Master and slave are in different colo Ben Myles wrote awesome library called MongoMatic  http://mongomatic.com /
Mongomatic Ruby datamapper for MongoDB  Simple and embraces MongoDB Shadelight and Mongo Machine ( http://mongomachine.com/ ) use it
We’re hiring http://corp.ign.com / http://labs.ign.com /

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Confessions of a relational addict