introtomongodb-100223125714-phpapp01.pdf

Transcript

1. Intro to MongoDB Alex Sharp twitter: @ajsharp email: ajsharp@frothlogic.com Monday, February 22, 2010
2. So what is MongoDB? Monday, February 22, 2010
3. First and foremost... Monday, February 22, 2010
4. IT’S 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 “One size fits all” 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, flexibility 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. BSON is a binary serialization of JSON-like objects Features: Document Storage Monday, February 22, 2010
20. This is extremely powerful, b/c it means mongo understands JSON natively Features: Document Storage Monday, February 22, 2010
21. Any valid JSON can be easily imported and queried Features: Document Storage Monday, February 22, 2010
22. Features Schema-less; very flexible Monday, February 22, 2010
23. Features Schema-less; very flexible 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 = flexible 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 Efficient binary large object store via GridFS Monday, February 22, 2010
36. Efficient binary large object store via GridFS i.e. store images, videos, anything Features: Binary Object Store Monday, February 22, 2010
37. Concepts Monday, February 22, 2010
38. Concepts: Document-oriented Think of “documents” as database records Monday, February 22, 2010
39. Concepts: Document-oriented Think of “documents” as database records Documents are basically just JSON objects that Mongo stores in binary Monday, February 22, 2010
40. Concepts: Document-oriented Think of “collections” as database tables Monday, February 22, 2010
41. RDBMS (mysql, postgres) MongoDB Tables Collections Concept Mapping Monday, February 22, 2010
42. RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Concept Mapping Monday, February 22, 2010
43. RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Queries return record(s) Queries return a cursor Concept Mapping Monday, February 22, 2010
44. RDBMS (mysql, postgres) MongoDB Tables Collections Records/rows Documents/objects Queries return record(s) Queries return a cursor Concept Mapping ??? Monday, February 22, 2010
45. Concepts: Cursors Queries return “cursors” instead of collections Monday, February 22, 2010
46. Concepts: Cursors Queries return “cursors” instead of collections A cursor allows you to iterate through the result set Monday, February 22, 2010
47. Concepts: Cursors Queries return “cursors” 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 “cursors” instead of collections A cursor allows you to iterate through the result set A big reason for this is performance Much more efficient than loading all objects into memory Monday, February 22, 2010
49. Concepts: Cursors The find() function returns a cursor object Monday, February 22, 2010
50. Concepts: Cursors The find() 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 filename.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 filename.json) Analyze to your heart’s 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