Intro To MongoDB
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The document introduces MongoDB as a scalable, high-performance, open source, schema-free, document-oriented database. It discusses MongoDB's philosophy of flexibility and scalability over relational semantics. The main features covered are document storage, querying, indexing, replication, MapReduce and auto-sharding. Concepts like collections, documents and cursors are mapped to relational database terms. Examples uses include data warehousing and debugging.
Intro To MongoDB
- 1. Intro to MongoDB Alex Sharp twitter: @ajsharp email: [email protected] Monday, February 22, 2010
- 2. So what is MongoDB? Monday, February 22, 2010
- 3. First and foremost... Monday, February 22, 2010
- 4. ITâS THE NEW HOTNESS!!! Monday, February 22, 2010
- 5. omgomgomg SHINY OBJECTS omgomgomg Monday, February 22, 2010
- 6. MongoDB (from "humongous") is a scalable, high-performance, open source, schema-free, document-oriented database. - mongodb.org Monday, February 22, 2010
- 7. Philosophy Monday, February 22, 2010
- 8. Philosophy âOne size ïŹts allâ approach no longer applies Monday, February 22, 2010
- 9. Philosophy Non-relational DBs scale more easily, especially horizontally Monday, February 22, 2010
- 10. Philosophy Focus on speed, performance, ïŹexibility and scalability Monday, February 22, 2010
- 11. Philosophy Not concerned with transactional stuff and relational semantics Monday, February 22, 2010
- 12. Philosophy DBs should be an on-demand commodity, in a cloud- like fashion Monday, February 22, 2010
- 13. Philosophy Mongo tries to achieve the performance of traditional key-value stores while maintaining functionality of traditional RDBMS Monday, February 22, 2010
- 14. Features Monday, February 22, 2010
- 15. Features Standard database stuff Monday, February 22, 2010
- 16. Features Standard database stuff Indexing Monday, February 22, 2010
- 17. Features Standard database stuff Indexing replication/failover support Monday, February 22, 2010
- 18. Features: Document Storage Documents are stored in BSON (binary JSON) Monday, February 22, 2010
- 19. Features: Document Storage BSON is a binary serialization of JSON-like objects Monday, February 22, 2010
- 20. Features: Document Storage This is extremely powerful, b/c it means mongo understands JSON natively Monday, February 22, 2010
- 21. Features: Document Storage Any valid JSON can be easily imported and queried Monday, February 22, 2010
- 22. Features Schema-less; very ïŹexible Monday, February 22, 2010
- 23. Features Schema-less; very ïŹexible no more blocking ALTER TABLE Monday, February 22, 2010
- 24. Features Auto-sharding (alpha) Monday, February 22, 2010
- 25. Features Makes for easy horizontal scaling Monday, February 22, 2010
- 26. Features Map/Reduce Monday, February 22, 2010
- 27. Features Very, very fast Monday, February 22, 2010
- 28. Features Super easy to install Monday, February 22, 2010
- 29. Features Strong with major languages Monday, February 22, 2010
- 30. Features Document-oriented = ïŹexible Monday, February 22, 2010
- 31. Features: Querying Rich, javascript-based query syntax Monday, February 22, 2010
- 32. Features: Querying Rich, javascript-based query syntax Allows us to deep, nested queries Monday, February 22, 2010
- 33. Features: Querying Rich, javascript-based query syntax Allows us to do deep, nested queries db.order.find( { shipping: { carrier: "usps" } } ); Monday, February 22, 2010
- 34. Features: Querying Rich, javascript-based query syntax Allows us to deep, nested queries db.order.find( { shipping: { carrier: "usps" } } ); shipping is an embedded document (object) Monday, February 22, 2010
- 35. Features: Binary Object Store EfïŹcient binary large object store via GridFS Monday, February 22, 2010
- 36. Features: Binary Object Store EfïŹcient binary large object store via GridFS i.e. store images, videos, anything Monday, February 22, 2010
- 37. Concepts Monday, February 22, 2010
- 38. Concepts: Document-oriented Think of âdocumentsâ as database records Monday, February 22, 2010
- 39. Concepts: Document-oriented Think of âdocumentsâ as database records Documents are basically just JSON objects that Mongo stores in binary Monday, February 22, 2010
- 40. Concepts: Document-oriented Think of âcollectionsâ as database tables Monday, February 22, 2010
- 41. Concept Mapping RDBMS (mysql, postgres) MongoDB Tables Collections Monday, February 22, 2010
- 42. Concept Mapping RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Monday, February 22, 2010
- 43. Concept Mapping RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Queries return record(s) Queries return a cursor Monday, February 22, 2010
- 44. Concept Mapping RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Queries return record(s) Queries return a cursor Monday, February 22, 2010 ???
- 45. Concepts: Cursors Queries return âcursorsâ instead of collections Monday, February 22, 2010
- 46. Concepts: Cursors Queries return âcursorsâ instead of collections A cursor allows you to iterate through the result set Monday, February 22, 2010
- 47. Concepts: Cursors Queries return âcursorsâ instead of collections A cursor allows you to iterate through the result set A big reason for this is performance Monday, February 22, 2010
- 48. Concepts: Cursors Queries return âcursorsâ instead of collections A cursor allows you to iterate through the result set A big reason for this is performance Much more efïŹcient than loading all objects into memory Monday, February 22, 2010
- 49. Concepts: Cursors The ïŹnd() function returns a cursor object Monday, February 22, 2010
- 50. Concepts: Cursors The ïŹnd() function returns a cursor object var cursor = db.logged_requests.find({ 'status_code' : 200 }) cursor.hasNext() // "true" cursor.forEach( function(item) { print(tojson(item)) } ); cursor.hasNext() // "false" Monday, February 22, 2010
- 51. Cool Features Monday, February 22, 2010
- 52. Cool Features Capped collections Monday, February 22, 2010
- 53. Cool Features Capped collections Fixed-sized, limited operation, auto-LRU age-out collections Monday, February 22, 2010
- 54. Cool Features Capped collections Fixed-sized, limited operation, auto-LRU age-out collections Fixed insertion order Monday, February 22, 2010
- 55. Cool Features Capped collections Fixed-sized, limited operation, auto-LRU age-out collections Fixed insertion order Super fast Monday, February 22, 2010
- 56. Cool Features Capped collections Fixed-sized, limited operation, auto-LRU age-out collections Fixed insertion order Super fast Ideal for logging and caching Monday, February 22, 2010
- 57. Cool Uses Data Warehouse Mongo understands JSON natively Monday, February 22, 2010
- 58. Cool Uses Data Warehouse Mongo understands JSON natively Very powerful for analysis Monday, February 22, 2010
- 59. Cool Uses Data Warehouse Mongo understands JSON natively Very powerful for analysis Query a bunch of data from some web service Monday, February 22, 2010
- 60. Cool Uses Data Warehouse Mongo understands JSON natively Very powerful for analysis Query a bunch of data from some web service Import into mongo (mongoimport -f ïŹlename.json) Monday, February 22, 2010
- 61. Cool Uses Data Warehouse Mongo understands JSON natively Very powerful for analysis Query a bunch of data from some web service Import into mongo (mongoimport -f ïŹlename.json) Analyze to your heartâs content Monday, February 22, 2010
- 62. Cool Uses Harmonyapp.com Large rails app for building websites (kind of a CMS) Monday, February 22, 2010
- 63. Cool Uses Hardcore debugging Spit out large amounts of data Monday, February 22, 2010
- 64. Limitations Transaction support Monday, February 22, 2010
- 65. Limitations Transaction support Relational integrity Monday, February 22, 2010
- 66. Resources http://mongodb.org http://www.mongodb.org/display/DOCS/Tutorial http://www.mongodb.org/display/DOCS/Use+Cases http://blog.mongodb.org/post/172254834/mongodb- is-fantastic-for-logging http://github.com/ajsharp/mongo-conf Monday, February 22, 2010