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MongoDB IndyRB

MongoDB IndyRB

John Nunemaker

August 19, 2009
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  1. INTRO • Built For Speed • Document/Collection Oriented • Dynamic

    Queries and Indexes • Replication and Failover
  2. GREAT FOR • Websites • Caching • High volume, low

    value • High scalability • Storage of program objects and json
  3. NOT AS GREAT FOR • Highly transactional • Ad-hoc business

    intelligence • Problems requiring SQL
  4. INSTALLATION • mkdir -p /data/db • download, unzip, mongod run

    • http://video.railstips.org/mongomapper-demo/
  5. COLLECTION • Think table, but with no schema • For

    grouping documents into smaller query sets (speed) • Each top level entity in your app would have its own collection (users, articles, etc.) • Indexable by one or more key
  6. DOCUMENT • Stored in a collection, think record or row

    • Can have _id key that works like primary keys in MySQL • Three options for relationships: embedded document, foreign keys, or db reference
  7. QUERYING • db.collection. fi nd({‘ fi rst_name’: ‘John’}) # fi

    nds all Johns • db.collection. fi nd({‘ fi rst_name’: /^J/}) # regex • db.collection. fi nd_ fi rst({‘_id’:1}) # fi nds fi rst with _id of 1 • db.collection. fi nd({‘age’: {‘$gt’: 21}}) # fi nds possible drinkers • db.collection. fi nd({‘author. fi rst_name’:‘John’}) # subdocument • db.collection. fi nd({$where:‘this.age >= 6 && this.age <= 18’})
  8. MORE QUERYING • $in, $nin, $all, $ne, $gt, $gte, $lt,

    $lte, $size, $where • : fi elds (like :select in active record) • :limit, :offset for pagination • :sort ascending or descending [[‘foo’, 1], [‘bar’, -1]] • count and group (uses map/reduce)
  9. HOW DO YOU USE IT WITH RUBY • mongo-ruby-driver http://github.com/mongodb/mongo-ruby-

    driver • active record adapter http://github.com/mongodb/ activerecord-mongo-adapter • mongorecord http://github.com/mongodb/mongo- activerecord-ruby
  10. NUNEMAPPER (MONGOMAPPER) • Mongo is not MySQL • DSL for

    modeling domain should also teach you Mongo • It sounded fun • Major appreciation for ORM’s
  11. FEATURES • Typecasting • Callbacks (ActiveSupport Callbacks) • Validations (using

    my fork of validatable) • Connection and database can differ per document • Create and Update with single or multiple • Delete and Destroy and _all counterparts • Find: id, ids, :all, : fi rst, :last • Associations
  12. EXAMPLE class User include MongoMapper::Document key :name, String, :required =>

    true, :length => 5..100 key :email, String, :required => true, :index => true key :age, Integer, :numeric => true key :active, Boolean, :default => true key :address, Address many :articles end class Address include MongoMapper::EmbeddedDocument key :street, String key :city, String key :state, String, :length => 2 key :zip, Integer, :numeric => true, :length => 5 end
  13. RANDOM AWESOMENESS • Capped collections (think memcache, actually used for

    replication) • Upserts db.collection.update({‘_id’:1}, {‘$inc’:{‘views’:1}}) • Multikeys (think tagging and full text search) • GridFS and auto-sharding