Nosql redis-mongo

NOSQLagile data storage

SQL: THE BEGINNING• Data structured on tables using columns• Data on one column is the key for making relationships with other tables• Normalization• RDBMS

SQL EXAMPLES

RDBMS BENEFITS• Normalization (a common standard format for accessing data)• Data consistency• Persistence• Consistency• Replication

RDBMS PROBLEMS

RDBMS PROBLEMS• Highcost on performing complex operations over a big database• High system load: scalability needs• Difﬁcult failover recovery• Difﬁcult denormalization

NOSQL TO THE RESCUE!

NOSQL IS...•A storage system for format free data• Web scale• Software darwinism• Different types of solutions depending on the needs: Key-value, Documents, Graphs, Objects...

REDIS• http://redis.io Redis is SEXY• Key-value store• In memory• Persistent (periodical asynchronous writes to disk)• All operations are atomic

REDISTypes of data Cool operations• Hashes • RPOPLPUSH• Sets (arrays) • Pub/Sub• Lists

REDISHSET myuser “email” “ivan@ivanhq.net”HSET myuser “web” “http://ibelmonte.com”HSET mysql “blog” “http://ivanh.net”HGET myuser “email”- ivan@ivanhq.net

REDISsadd myuser:books “jackass”sadd myuser:books “jackass2”sadd myuser:books “Dude, where’s my car?”sadd myuser:books “The hangover”smembers myuser:books1. jackass2. jackass23. Dude, where’s my car?4. The hangover

REDISrpush friends “John Doe”rpush friends “Foo”rpush friends “Bar”lrange friends 0 -11. John Doe2. Foo3. Bar

REDISrpush nonfriends “Peter Pan”rpush nonfriends “Batman”rpush nonfriends “Betty Boop”lrange nonfriends 0 -11. Peter Pan2. Batman3. Betty Boop

REDISrpoplpush nonfriends friendslrange friends 0 -11. John Doe2. Foo3. Bar4. Betty Booplrange nonfriends 0 -11. Peter Pan2. Batman

REDISPub/Sub.... a freaking AWESOME messaging queue

REDISPro’s:- Highly performant- Highly scalable- Interfaces available for many languages (Ruby: Ohm)Cons:- Eats your server’s memory- Manually sharding

MONGODB• http://mongodb.org• Document store• Writes to disk• Hight scalability• Easy sharding

MONGODB• Organizes data using collections• Stores documents in BSON format, a binary-encoded serialization of JSON

MONGODBuse usersu = { name: “ivan”, company: “Sysdivision”, age: “32” }users.insert(u)users.ﬁnd();- { "_id" : ObjectId("4d5ea4e79faeda067681e214"),"name" : "ivan", company: “Sysdivision”, "age" : "32" }

MONGODBuse usersu = { name: “ivan”, company: “Sysdivision”, age: “32” }users.insert(u)db.users.find({name: “ivan”});- { "_id" : ObjectId("4d5ea4e79faeda067681e214"),"name" : "ivan", company: “Sysdivision”, "age" : "32" }db.users.find();db.users.find().skip(20).limit(10);

MONGOIDclass User include Mongoid::Document field :name field :birthday, :type => date field :money, :type => float, :default => 0.0 embeds_one :companyendclass Company field :name embedded_in :userend

MONGOIDuser = User.new( :name => ‘John Doe’, :birthday => ’12/7/1982’, : money => 0 )user.company.create(:name => ‘Sysdivision’)User.ﬁnd(:name => ‘John Doe’)User.where(:name => /.*ohn.*/)

MONGOIDUser.any_of( { :name => ‘John Doe’ }, { :money.gt 10 } )User.any_in(:name => [‘John’, ‘Foo’, ‘Bar’])User.where(:name => ‘John Doe’).and(:money.gt 10)Post.all_in(:tags => [‘ruby’, ‘code’, ‘mongo’])

MONGODBPro’s:- Highly performant- Highly scalable- Easy sharding- Ultra powerful querying- Interfaces available for many languages (Ruby:mongo_mapper, mongoid)

NOSQL AWESOMENESS

QUESTIONS? Ivan Belmonte http://ibelmonte.com ivan@ivanhq.net

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Nosql redis-mongo

by ibelmonte on Feb 18, 2011

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