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MongoDB SF Ruby
The document discusses various types of databases, including open-source, schema-free, document-oriented options like MongoDB, HBase, and Cassandra. It highlights key concepts such as the CAP theorem, ACID vs. BASE properties, and features of specific databases such as versioning, caching, and replication. Additionally, it provides insights into querying, data handling in Ruby, and further resources for MongoDB installation and community support.
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MongoDB SF Ruby
- 1.
- 2. RDBMS • Great formany applications • Shortcomings • Scalability • Flexibility
- 3. CAP Theorem • Consistency •Availability • Tolerance to network Partitions • Pick two http://www.cs.berkeley.edu/~brewer/cs262b-2004/PODC-keynote.pdf
- 4. ACID vs BASE • Atomicity • Basically Available • Consistency • Soft state • Isolation • Eventually consistent • Durability
- 5. Schema-free • Loosening constraints- added flexibility • Dynamically typed languages • Migrations
- 6. BigTable • Single masternode • Row / Column hybrid • Versioned
- 7. BigTable • Open-source clones: • HBase • Hypertable
- 8. Dynamo • Simple Key/Valuestore • No master node • Write to any (many) nodes • Read from one or more nodes (balance speed vs. consistency) • Read repair
- 9. Dynamo • Open-source clones • Project Voldemort • Cassandra - data model more like BigTable • Dynomite
- 10. memcached • Used asa caching layer • Essentially a key/value store • RAM only - fast • Does away with ACID
- 11. Redis • Like memcached •Different • Values can be strings, lists, sets • Non-volatile
- 12. Tokyo Cabinet +Tyrant • Key/value store with focus on speed • Some more advanced queries • Sorting, range or prefix matching • Multiple storage engines • Hash, B-Tree, Fixed length and Table
- 13. • A lotin common with MongoDB: • Document-oriented • Schema-free • JSON-style documents
- 14. • Differences •MVCC based • Replication as path to scalability • Query through predefined views • ACID • REST
- 15. • Focus onperformance • Rich dynamic queries • Secondary indexes • Replication / failover • Auto-sharding • Many platforms / languages supported
- 17. Good at • Theweb • Caching • High volume / low value • Scalability
- 18. Less good at •Highly transactional • Ad-hoc business intelligence • Problems that require SQL
- 19. Ruby support • mongo-ruby-driver • Pure Ruby, with optional C extension • MongoRecord • ORM like functionality • Other mappers
- 20. Basics • Connect: •db = Mongo.new.db(‘my-database’) • coll = db.collection(‘players’) • Insert: • coll.insert (“name” => “mike”, “age” => ... • Query: • coll.find (“age” => 35)
- 21. Advanced queries • Sorting •Limit • $gt, $lt, $gte, $lte, $ne, $all, $in, $nin • where() • count() • group()
- 22. GridFS • File storagein MongoDB • IO-like API for Ruby
- 23. Other cool stuff •Capped collections • Upserts • Multikeys
- 24.
- 25. • Download MongoDB http://www.mongodb.org • Install the Ruby driver • Try it out!
- 26. • http://www.mongodb.org • irc.freenode.net#mongodb •mongodb-user on google groups • @mongodb • mike@10gen.com