Intro to MongoDB (Updated)

Transcript

1. MongoDB 101 Ryan Fischer @ryanfischer20
2. What you will hear What is NoSQL Available NoSQL Databases Intro to MongoDB
3. What is NoSQL
4. Fancy Answer NoSQL is a class of database management system identified by its non-adherence to the widely-use relational database management system
5. My Answer It’s not SQL
6. Does not use SQL as its query language May not give full ACID guarantees Distributed architecture Typically optimized for reading and writing operations
7. Advantages
8. Traditional Scaling Bigger is better! (or so they thought) Increase the size and power of the server
9. Scaling with NoSql Scale horizontally! Distribute across multiple servers More economical using lower-cost servers
10. What is Sharding Allows MongoDB to scale horizontally Evenly distributes chunks of data Performed per collection
12. Goodbye Schemas Flexible data models Easy to add/change data structures
13. Disadvantages
14. Goodbye Schemas Flexible data structures Application dependent on integrity
15. NoSQl is Still Young Does not reduce administration (at least not yet) Lack of expertise Lack of projects expanding on NoSQL
16. NoSQL Databases Cassandra MongoDB CouchDB Redis Riak Neo4j
17. How is it used?
18. NoSQL out in the Wild Analytics - takes advantage of read/write optimizations Logging Large Scale Projects
19. MongoDB
20. What is MongoDB Document Oriented Storage Replication & Auto-Sharding Document-based queries similar to SQL Atomic Updates Map/Reduce
21. Document Oriented No schemas!! No joins for high performance and scalability embed documents JSON-Style storage
22. High Performance Stores a lot of data in memory Embedding documents increase read and writes Allows indexing
23. Availability and Scalability Replicated servers with automatic master failover Auto-sharing across servers Consistent reads distributed over replicated servers
24. Atomic Modifers In place updating documents Does not replace entire document Ideally suited for write heavy applications
25. Storing data Data is grouped by collections Collection contains documents of key-value pairs Values can be rich including arrays and documents Stored as BSON - Binary Serialized Document Notation
26. Querying Javascript console allows for functions Returns a cursor - lazy load of results Queries expressed as JSON Documents auto-assigned ObjectId
27. Advantages Active community including 10Gen Driver support for most languages Many new features to come
28. Disadvantages No inherit transaction support Scaling sometimes isn’t simple Multiple servers recommended Object modeling can be complex
29. The big data loss debate Internet flame war history Mongo performs one write at a time - global lock Stored in memory Replication - fail over
30. Examples Interactive time! Goto to https://gist.github.com/2719591 for examples
31. Embed vs Referenced Relationships for models Object Models - Think differently When in doubt store in different collection
32. Mongo Object Mappers for Ruby MongoMapper Mongoid Mongo ODM MongoModel
33. Mongoid Advantages Excellent Documentation Active Community Compatibility with other projects Similar API to ActiveRecord Uses ActiveValidation Version library
34. Compatible Gems Devise - Authentication solutions for Rails Carrierwave - Simple and flexible way to upload files from Ruby. Supports GridFS Geocoder - Complete geocoding solution for Rails Mongoid-Rspec - RSpec matchers and macros for Mongoid
35. Mongoid Document class Team include Mongoid::Document include Mongoid::Timestamps field :name, type: String field :city, type: String field :location, :type => Array validates :name, :city, :presence => true end
36. The End Follow me - @ryanfischer20