Building Your First App: An Introduction to MongoDB (MongoDB Austin 2013)

MongoDB Austin 2013

Transcript

1. Software Engineer, 10gen @brandonmblack Brandon Black #MongoDBDays Building Your First App: An Introduction to MongoDB
2. What is MongoDB?
3. MongoDB is a ___________ database •  Document •  Open source •  High performance •  Horizontally scalable •  Full featured
4. Document Database •  Not for .PDF & .DOC files •  A document is essentially an associative array •  Document == JSON object •  Document == PHP Array •  Document == Python Dict •  Document == Ruby Hash
5. Open Source •  MongoDB is an open source project •  On GitHub •  Licensed under the AGPL •  Started & sponsored by 10gen •  Commercial licenses available •  Contributions welcome
6. High Performance •  Written in C++ •  Extensive use of memory-mapped files i.e. read-through write-through memory caching. •  Runs nearly everywhere •  Data serialized as BSON (fast parsing) •  Full support for primary & secondary indexes •  Document model = less work
7. www.etiennemansard.com Horizontally Scalable
8. Full Featured •  Ad Hoc queries •  Real time aggregation •  Rich query capabilities •  Traditionally consistent •  Geospatial features •  Support for most programming languages •  Flexible schema
9. Database Landscape Depth of Functionality Scalability & Performance Memcached MongoDB RDBMS
10. http://www.mongodb.org/downloads
11. Mongo Shell
12. Document Database
13. RDBMS MongoDB Table, View
    Collection Row
    Document Index
    Index Join
    Embedded Document Foreign Key
    Reference Partition
    Shard Terminology
14. Typical (relational) ERD User ·Name ·Email address Category ·Name ·URL Comment ·Comment ·Date ·Author Article ·Name ·Slug ·Publish date ·Text Tag ·Name ·URL
15. MongoDB ERD User ·Name ·Email address Article ·Name ·Slug ·Publish date ·Text ·Author Comment[] ·Comment ·Date ·Author Tag[] ·Value Category[] ·Value
16. http://www.flickr.com/photos/somegeekintn/3484353131/ Library Management Application
17. First step in any application is Determine your entities
18. Library Management Application Entities •  Library Patrons (users) •  Books (catalog) •  Authors •  Publishers •  Categories ??
19. In a relational based app We would start by doing schema design
20. Relational Schema Design •  Large ERD Diagrams •  Complex create table statements •  ORMs to map tables to objects •  Tables just to join tables together •  For this simple app we'd have 5 tables and 5 join tables •  Lots of revisions until we get it just right
21. In a MongoDB based app We start building our app and let the schema evolve
22. MongoDB Collections •  Users •  Books •  Authors •  Publishers
23. No Common Language Mongo Shell
24. Working with MongoDB
25. user = { username: 'fred.jones', first_name: 'fred', last_name: 'jones', } Start with an Object (or array, hash, dict, etc)
26. > db.users.insert(user) Insert the Record No collection creation needed
27. > db.users.findOne() { "_id" : ObjectId("50804d0bd94ccab2da652599"), "username" : "fred.jones", "first_name" : "fred", "last_name" : "jones" } Querying for the User
28. _id •  _id is the primary key in MongoDB •  Automatically indexed •  Automatically created as an ObjectId if not provided •  Any unique immutable value could be used
29. ObjectId •  ObjectId is a special 12 byte value •  Guaranteed to be unique across your cluster •  ObjectId("50804d0bd94ccab2da652599") |-------------||---------||-----||----------| ts mac pid inc
30. > db.author.insert({ first_name: 'j.r.r.', last_name: 'tolkien', bio: 'J.R.R. Tolkien (1892.1973), beloved throughout the world as the creator of The Hobbit and The Lord of the Rings, was a professor of Anglo-Saxon at Oxford, a fellow of Pembroke College, and a fellow of Merton College until his retirement in 1959. His chief interest was the linguistic aspects of the early English written tradition, but even as he studied these classics he was creating a set of his own.' }) Creating an Author
31. > db.author.findOne( { last_name : 'tolkien' } ) { "_id" : ObjectId("507ffbb1d94ccab2da652597"), "first_name" : "j.r.r.", "last_name" : "tolkien", "bio" : "J.R.R. Tolkien (1892.1973), beloved throughout the world as the creator of The Hobbit and The Lord of the Rings, was a professor of Anglo-Saxon at Oxford, a fellow of Pembroke College, and a fellow of Merton College until his retirement in 1959. His chief interest was the linguistic aspects of the early English written tradition, but even as he studied these classics he was creating a set of his own." } Querying for Our Author
32. > db.books.insert({ title: 'fellowship of the ring, the', author: ObjectId("507ffbb1d94ccab2da652597"), language: 'english', genre: ['fantasy', 'adventure'], publication: { name: 'george allen & unwin', location: 'London', date: new Date('21 July 1954'), } }) Creating a Book http://society6.com/PastaSoup/The-Fellowship-of-the-Ring-ZZc_Print/
33. > db.books.findOne({language: 'english'}, {genre: 1}) { "_id" : ObjectId("50804391d94ccab2da652598"), "genre" : [ "fantasy", "adventure" ] } Multiple Values Per Key
34. > db.books.findOne({genre: 'fantasy'}, {title: 1}) { "_id" : ObjectId("50804391d94ccab2da652598"), "title" : "fellowship of the ring, the" } Multiple Values Per Key Query key with single value or multiple values the same way.
35. > db.books.findOne({}, {publication: 1}) { "_id" : ObjectId("50804ec7d94ccab2da65259a"), "publication" : { "name" : "george allen & unwin", "location" : "London", "date" : ISODate("1954-07-21T04:00:00Z") } } Nested Values
36. > db.books.findOne( {'publication.date' : { $lt : new Date('21 June 1960')} } ) { "_id" : ObjectId("50804391d94ccab2da652598"), "title" : "fellowship of the ring, the", "author" : ObjectId("507ffbb1d94ccab2da652597"), "language" : "english", "genre" : [ "fantasy", "adventure" ], "publication" : { "name" : "george allen & unwin", "location" : "London", "date" : ISODate("1954-07-21T04:00:00Z") } } Query Nested Values with Dot Notation
37. > db.books.update( {"_id" : ObjectId("50804391d94ccab2da652598")}, { $set : { isbn: '0547928211', pages: 432 } }) Update Books This is true agile development . I’m simply changing how I work with the data, and the database follows.
38. db.books.findOne() { "_id" : ObjectId("50804ec7d94ccab2da65259a"), "author" : ObjectId("507ffbb1d94ccab2da652597"), "genre" : [ "fantasy", "adventure" ], "isbn" : "0395082544", "language" : "english", "pages" : 432, "publication" : { "name" : "george allen & unwin", "location" : "London", "date" : ISODate("1954-07-21T04:00:00Z") }, "title" : "fellowship of the ring, the" } Updated Book Record
39. > db.books.ensureIndex({title: 1}) > db.books.ensureIndex({genre : 1}) > db.books.ensureIndex({'publication.date': -1}) Creating Indexes
40. > db.books.findOne({title : /^fell/}) { "_id" : ObjectId("50804ec7d94ccab2da65259a"), "author" : ObjectId("507ffbb1d94ccab2da652597"), "genre" : [ "fantasy", "adventure" ], "isbn" : "0395082544", "language" : "english", "pages" : 432, "publication" : { "name" : "george allen & unwin", "location" : "London", "date" : ISODate("1954-07-21T04:00:00Z") }, "title" : "fellowship of the ring, the" } Query with Regular Expressions
41. > db.books.insert({ title: 'two towers, the', author: ObjectId("507ffbb1d94ccab2da652597"), language: 'english', isbn : "034523510X", genre: ['fantasy', 'adventure'], pages: 447, publication: { name: 'george allen & unwin', location: 'London', date: new Date('11 Nov 1954'), } }) Adding More Books http://society6.com/PastaSoup/The-Two-Towers-XTr_Print/
42. > db.books.insert({ title: 'return of the king, the', author: ObjectId("507ffbb1d94ccab2da652597"), language: 'english', isbn : "0345248295", genre: ['fantasy', 'adventure'], pages: 544, publication: { name: 'george allen & unwin', location: 'London', date: new Date('20 Oct 1955'), } }) Adding More Books http://society6.com/PastaSoup/The-Return-of-the-King-Jsc_Print/
43. > db.books.find( { author: ObjectId("507ffbb1d94ccab2da652597")}) .sort({ 'publication.date' : -1}) .limit(1) { "_id" : ObjectId("5080d33ed94ccab2da65259d"), "title" : "return of the king, the", "author" : ObjectId("507ffbb1d94ccab2da652597"), "language" : "english", "isbn" : "0345248295", "genre" : [ "fantasy", "adventure" ], "pages" : 544, "publication" : { "name" : "george allen & unwin", "location" : "London", "date" : ISODate("1955-10-20T04:00:00Z") } } Cursors
44. page_num = 3; results_per_page = 10; cursor = db.books.find() .sort({ "publication.date" : -1 }) .skip((page_num - 1) * results_per_page) .limit(results_per_page); Simple Pager
45. > book = db.books.findOne({"title" : "return of the king, the"}) > db.author.findOne({_id: book.author}) { "_id" : ObjectId("507ffbb1d94ccab2da652597"), "first_name" : "j.r.r.", "last_name" : "tolkien", "bio" : "J.R.R. Tolkien (1892.1973), beloved throughout the world as the creator of The Hobbit and The Lord of the Rings, was a professor of Anglo-Saxon at Oxford, a fellow of Pembroke College, and a fellow of Merton College until his retirement in 1959. His chief interest was the linguistic aspects of the early English written tradition, but even as he studied these classics he was creating a set of his own." } Finding an Author by Book
46. MongoDB Drivers
47. Real applications are not built in the shell
48. MongoDB Drivers •  Drivers connect to mongo servers •  Drivers translate BSON into native types •  The MongoDB shell is not a driver, but works like one in some ways •  Installed using typical means (npm, pecl, gem, pip)
49. MongoDB has native bindings for over 12 languages
52. Next Steps
53. We've introduced a lot of concepts here
54. Schema Design @ 10:35am User ·Name ·Email address Article ·Name ·Slug ·Publish date ·Text ·Author Comment[] ·Comment ·Date ·Author Tag[] ·Value Category[] ·Value
55. Secondary Secondary Primary Client Application Driver Write Read Read Replication @ 12:15pm
56. 7 16 1 2 5 6 9 12 18 21 B-Trees 13 {x: 13} Indexing @ 1:45pm
57. Node 1 Secondary Config Server Node 1 Secondary Config Server Node 1 Secondary Config Server Shard Shard Shard Mongos App Server Mongos App Server Mongos App Server Sharding @ 2:30pm
58. •  What’s next? –  Schema Design @ 10:35am –  Replication @ 12:15pm –  Indexing @ 1:45pm –  Sharding @ 2:30pm –  Webinar: Technical Overview of MongoDB (March 7th) –  MongoDB User Group •  Resources https://education.10gen.com/ http://www.10gen.com/presentations http://github.com/brandonblack/presentations
59. Software Engineer, 10gen @brandonmblack Brandon Black #MongoDBDays Thank You