MongoDB - Ruby document store that doesn't rhyme with ouch
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MongoDB - Ruby document store that doesn't rhyme with ouch

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Overview of MongoDB at Dallas.rb Ruby group. Thanks to John Nunemaker for sharing slides!

Overview of MongoDB at Dallas.rb Ruby group. Thanks to John Nunemaker for sharing slides!

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  • High volume, lower value. No transactions. Drivers for several languages. All network based for speed (instead of REST). <br /> Uses BSON for storage of objects and for building queries. Binary-encoded serialization like JSON. Allows for some representations that JSON does not. <br /> BSON seems “blob-like” but mongo speaks BSON and can “reach in” to documents. <br /> Powerful query language, with query optimizer. You can drop down to javascript also. <br /> Supports master/slave. <br /> <br />
  • Talk about harmony and how we are abusing mysql for key/value meta data on pages. <br /> Talk about capped collections and how they work like memcache. Also, how they are used for replication even. <br />
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  • _id’s can be any type, just have to be unique in collection <br />
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  • find always returns a cursor that you can keep iterating through <br />
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  • Don’t have to typecast with mongo as it “knows” types but form submissions are always strings so typecasting has its benefits. <br /> * note required <br /> * note length <br /> * note numeric <br /> * note index <br />
  • multikey - automatically index arrays of object values <br /> ensure index on tags or _keywords <br />
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MongoDB - Ruby document store that doesn't rhyme with ouch MongoDB - Ruby document store that doesn't rhyme with ouch Presentation Transcript

  • MongoDB Ruby friendly document storage that doesn’t rhyme with ouch. Dallas.rb
  • Wynn Netherland @pengwynn http://squeejee.com http://locomotivation.com
  • Not every data problem looks like this
  • So why do so many databases look like this?
  • and this?
  • When are RDBMS less than ideal? Your data is stored and retrieved mainly by primary key, without complex joins. You have a non-trivial amount of data, and the thought of managing lots of RDBMS shards and replication failure scenarios gives you the fear. http://www.metabrew.com/article/anti-rdbms-a-list-of-distributed-key- value-stores/
  • Enter key value stores
  • Some of the players Project Voldemort Ringo Scalaris Kai Dynomite MemcacheDB ThruDB CouchDB Cassandra HBase Hypertable Tokyo Cabinet/Tyrant http://www.metabrew.com/article/anti-rdbms-a-list-of-distributed-key-value-stores/
  • Tokyo Cabinet: Popular with Rubyists, Big in Japan
  • Go kick the tires • Lightning fast • Works best for at objects • Tokyo Tyrant for network access http://www.igvita.com/2009/02/13/tokyo-cabinet-beyond-key-value- store/
  • More document-oriented solutions
  • CouchDB Apache CouchDB is a distributed, fault-tolerant and schema-free document-oriented database accessible via a RESTful HTTP/JSON API. http://couchdb.apache.org/
  • Erlang + Javascript
  • Map + reduce
  • Very cool
  • Plenty o’ Ruby to go around
  • Ruby libraries for CouchDB • CouchRest • Basic model • RelaxDB • CouchPotato • CouchFoo • ActiveCouch http://www.slideshare.net/brianthecoder/couchdb
  • Throw out everything you learned about DB design
  • SQL CouchDB Prede ned, explicit schema Dynamic, implicit schema Collection of named documents with varying Uniform tables of data structure Normalized. Objects spread across tables. Denormalized. Docs usually self contained. Data Duplication reduced. often duplicated. Must know schema to read/write a complete Must know only document name object Dynamic queries of static schemas Static queries of dynamic schemas http://damienkatz.net/files/What is CouchDB.pdf
  • SQL CouchDB Prede ned, explicit schema Dynamic, implicit schema Collection of named documents with varying Uniform tables of data structure Normalized. Objects spread across tables. Denormalized. Docs usually self contained. Data Duplication reduced. often duplicated. Must know schema to read/write a complete Must know only document name object Dynamic queries of static schemas Static queries of dynamic schemas
  • In walks Mongo
  • INTRO
  • INTRO • Built For Speed • Document/Collection Oriented • Dynamic Queries and Indexes • Replication and Failover
  • GREAT FOR • Websites • Caching • High volume, low value • High scalability • Storage of program objects and json
  • NOT AS GREAT FOR • Highly transactional • Ad-hoc business intelligence • Problems requiring SQL
  • INSTALLATION • mkdir -p /data/db • download pre-built for OSX and unzip to /usr/local/ • cp -R /usr/local/pathtomongo/bin /usr/local/bin
  • DATABASE • same concept as mysql • made up of collections
  • COLLECTION • Think table, but with no schema • For grouping documents into smaller query sets (speed) • Eachtop level entity in your app would have its own collection (users, articles, etc.) • Indexable by one or more key
  • DOCUMENT • Stored in a collection, think record or row • Can have _id key that works like primary keys in MySQL • Two options for relationships: subdocument or db reference
  • STORAGE (BSON) { author: 'joe', created: Date('03-28-2009'), title: 'Yet another blog post', text: 'Here is the text...', tags: [ 'example', 'joe' ], comments: [ { author: 'jim', comment: 'I disagree' }, { author: 'nancy', comment: 'Good post' } ] } http://www.mongodb.org/display/DOCS/BSON
  • THAT LOOKS LIKE JSON Where’s the Ruby?
  • QUERYING • db.collection.find({‘first_name’: ‘John’}) # finds all Johns • db.collection.find({‘first_name’: /^J/}) # regex • db.collection.find_first({‘_id’:1}) # finds first with _id of 1 • db.collection.find({‘age’: {‘$gt’: 21}}) # finds possible drinkers • db.collection.find({‘author.first_name’:‘John’}) # subdocument • db.collection.find({$where:‘this.age >= 6 && this.age <= 18’})
  • MORE QUERYING • $in, $nin, $all, $ne, $gt, $gte, $lt, $lte, $size, $where • :fields (like :select in active record) • :limit, :offset for pagination • :sort ascending or descending [[‘foo’, 1], [‘bar’, -1]] • count and group (uses map/reduce)
  • HOW DO YOU USE IT WITH RUBY • mongo-ruby-driver http://github.com/mongodb/mongo-ruby- driver • activerecord adapter http://github.com/mongodb/ activerecord-mongo-adapter • mongorecord http://github.com/mongodb/mongo- activerecord-ruby
  • NUNEMAPPER (MONGOMAPPER) • Mongo is not MySQL • DSL for modeling domain should also teach you Mongo • It sounded fun • Almost finished and sitting in private GitHub repo
  • FEATURES • Typecasting • Create and Update with single or multiple • Callbacks(ActiveSupport Callbacks) • Delete and Destroy and _all counterparts • Validations (using my fork of validatable) • Find: id, ids, :all, :first, :last • Connection and database • Associations (incomplete) can differ per document
  • EXAMPLE class User include MongoMapper::Document key :name, String, :required => true, :length => 5..100 key :email, String, :required => true, :index => true key :age, Integer, :numeric => true key :active, Boolean, :default => true one :address many :articles end class Address include MongoMapper::Document key :street, String key :city, String key :state, String, :length => 2 key :zip, Integer, :numeric => true, :length => 5 end
  • RANDOM AWESOMENESS • Capped collections (think memcache, actually used for replication) • Upserts db.collection.update({‘_id’:1}, {‘$inc’:{‘views’:1}}) • Multikeys (think tagging and full text search) • GridFS and auto-sharding
  • John Nunemaker http://orderedlist.com http://railstips.org Links http://www.10gen.com http://mongodb.com
  • Wynn Netherland @pengwynn http://squeejee.com http://locomotivation.com