MongoDB SF Python
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MongoDB presentation for SF Python's June meetup. Review of non-relational databases for the first half, focus on MongoDB for the second.
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MongoDB SF Python
- 2. RDBMS • Great for many 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 master node • Row / Column hybrid • Versioned
- 7. BigTable • Open-source clones: • HBase • Hypertable
- 8. Dynamo • Simple Key/Value store • 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 as a 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 lot in 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 on performance • Rich dynamic queries • Secondary indexes • Replication / failover • Auto-sharding • Many platforms / languages supported
- 17. Good at • The web • Caching • High volume / low value • Scalability
- 18. Less good at • Highly transactional • Ad-hoc business intelligence • Problems that require SQL
- 19. PyMongo • Python driver for MongoDB • Pure Python, with optional C extension • Installation • Use setuptools: easy_install pymongo
- 20. Basics • Connect: • Insert: • Query:
- 21. Document values • None • Special values: • bool • SON • int • Binary • float • ObjectId • string / unicode • DBRef • dict • datetime.datetime • compiled re
- 22. • Schema-free: • Query with selectors:
- 23. Advanced queries • Sorting: • Limit: • Range:
- 24. • $gt, $lt, $gte, $lte, $ne, $all, $in, $nin • where() • count() • group()
- 25. GridFS • File storage in MongoDB • File-like API for Python • Initialize: • Write: • Read:
- 26. Other cool stuff • Capped collections • Upserts • Multikeys
- 27. Demo
- 28. • Download MongoDB http://www.mongodb.org • Install PyMongo • Try it out!
- 29. • http://www.mongodb.org • irc.freenode.net#mongodb • mongodb-user on google groups • @mongodb • [email protected]