Dev Jumpstart: Build Your First App with MongoDB
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New to MongoDB? This talk will introduce the philosophy and features of MongoDB. We’ll discuss the benefits of the document-based data model that MongoDB offers by walking through how one can build a simple app to store books. We’ll cover inserting, updating, and querying the database of books. This session will jumpstart your knowledge of MongoDB development, providing you with context for the rest of the day's content.
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Dev Jumpstart: Build Your First App with MongoDB
- 2. SA, MongoDB Norberto Leite #mongodbdays @mongodb @nleite #developers Building your first app An introduction to MongoDB
- 4. Let’s not talk about Fußball!
- 5. Quick Introduction • Norberto Leite – SA – Madrid, Spain – norberto@mongodb.com – @nleite
- 7. Welcome to MongoDB Days Munich! This is YOUR conference!
- 8. Thanks for being part of the Fam
- 9. Grab our staff for anything you need!
- 10. What is MongoDB?
- 11. MongoDB is a ___________ database • Document • Open source • High performance • Horizontally scalable • Full featured
- 12. Document Database • Not for .PDF & .DOC files • Adocument is essentially an associative array • Document = JSON object • Document = PHPArray • Document = Python Dict • Document = Ruby Hash • etc
- 13. Open Source • MongoDB is an open source project • On GitHub • Licensed under theAGPL • Started & sponsored by MongoDB Inc (formerly 10gen) • Commercial licenses available • Contributions welcome
- 14. 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
- 17. Full Featured • Ad Hoc queries • Real time aggregation • Rich query capabilities • Strongly consistent • Geospatial features • Support for most programming languages • Flexible schema
- 18. Setting Expectations • What is MongoDB • How to develop with MongoDB • Scale with MongoDB • Analytics • MMS • Sharding • Setting the correct environment
- 19. Ready to become a Pro!
- 21. $ tar –z xvf mongodb-osx-x86_64-2.6.5.tgz $ cd mongodb-osx-i386-2.4.4/bin $ mkdir –p /data/db $ ./mongod Running MongoDB
- 22. MacBook-Air-:~ $ mongo MongoDB shell version: 2.6.5 connecting to: test > db.test.insert({text: 'Welcome to MongoDB'}) > db.test.find().pretty() { "_id" : ObjectId("51c34130fbd5d7261b4cdb55"), "text" : "Welcome to MongoDB" } Mongo Shell
- 24. Terminology RDBMS MongoDB Table, View ➜ Collection Row ➜ Document Index ➜ Index Join ➜ Embedded Document Foreign Key ➜ Reference Partition ➜ Shard
- 25. Let’s Build a Blog
- 26. Let’s Build a Blog
- 27. Let’s Build a Personal Data Hub!
- 28. First step in any application is Determine your entities
- 29. Entities in our Data Hub • Accounts • Messages – emails – tweets – comments – streams • Notifications
- 30. In a relational base app We would start by doing schema design
- 33. Das ist beängstigende Sache
- 34. In a MongoDB based app We start building our app and let the schema evolve
- 35. MongoDB ERD Accounts Alerts - account - user - password - refresh_rate - uri Messages - text - user - time - retweets - from - to - body - attachments - id - time - account_id - subscribers - channel - rate - period - metrics:[] …
- 37. Demo time
- 38. >db test > use datahub switching to db datahub Switch to Your DB
- 39. >var account = { "name": "gmail", "credentials": { "user": "norberto@mongodb.com", "password": "YOU WISH!" }, "smtp": "smpt.gmail.com", "tls": true } Create our first Document
- 40. >db test > use datahub switching to db datahub > db.accounts.insert( account ) Switch to Your DB
- 41. > db.accounts.insert(account) Insert the Record No collection creation necessary
- 42. > db.accounts.findOne() { "_id": ObjectId("54490561150027cc775b1019"), "name": "gmail", "credentials": { "user": "norberto@mongodb.com", "password": "YOU WISH!" }, "smtp": "smpt.gmail.com", "tls": true } Find One Record
- 43. _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
- 44. ObjectId • ObjectId is a special 12 byte value • Guaranteed to be unique across your cluster • ObjectId("50804d0bd94ccab2da652599") |----ts-----||---mac---||-pid-||----inc-----| 4 3 2 3
- 45. > db.accounts.findOne() { "_id": ObjectId("54490561150027cc775b1019"), "name": "gmail", "credentials": { "user": "norberto@mongodb.com", "password": "YOU WISH!" }, ”last_access": ISODate("2014-10-30T13:09:36.724Z"), "smtp": "smpt.gmail.com", "tls": true } Rich Data Types Strings Date Boolean
- 46. BSON
- 47. > db.messages.insert({ "_id" : ObjectId("54527e08257844421e64623f"), "favorited" : false, "contributors" : null, "truncated" : false, "text" : "converting to #java 8", "in_reply_to_status_id" : null, ”hashtags”: [ "#java", ] … } Inserting Messages (emails, tweets …)
- 48. > db.messages.insert({ "_id" : ObjectId("54523d2d25784427c6fabce1"), "From" : "norberto@mongodb.com", "To" : "mongodb-user@googlegroups.com", "Date" : ISODate("2012-08-15T22:32:34Z"), "body" : { "text/plain" : ”Hello Munich, nice to see yalll!" }, "Subject" : ”Live From MongoDB World" }) Inserting Messages (emails, tweets …)
- 49. > db.message.find().pretty() { "_id" : ObjectId("54523d2d25784427c6fabce1"), "From" : "norberto@mongodb.com", "To" : "mongodb-user@googlegroups.com", "Date" : ISODate("2012-08-15T22:32:34Z"), "body" : { "text/plain" : ”Hello Munich, nice to see yalll!" }, "Subject" : ”Live From MongoDB World" } { "_id" : ObjectId("54527e08257844421e64623f"), "favorited" : false, "contributors" : null, "truncated" : false, "text" : "converting to #java 8", "in_reply_to_status_id" : null, ”hashtags”: [ "#java", ] … Finding a Message
- 50. > db.article.find({"hashtags":"#java"}).pretty() { "_id" : ObjectId("54527e08257844421e64623f"), "favorited" : false, "contributors" : null, "truncated" : false, "text" : "converting to #java 8, #programing ", "in_reply_to_status_id" : null, ”hashtags”: [ "#java", "#programing"] … } Querying An Array query in JSON
- 51. > db.messages.update({ "_id" : ObjectId("54523d2d25784427c6fabce1") }, {$set: { opened: {date: ISODate("2012-08-15T22:32:34Z"), user: ’Norberto'} } }) > Using Update to Add a Comment set new field on the documentwhich is a subdocument
- 52. > db.message.findOne({"_id" : ObjectId("54523d2d25784427c6fabce1")}) { "_id" : ObjectId("54523d2d25784427c6fabce1"), "From" : "norberto@mongodb.com", "To" : "mongodb-user@googlegroups.com", "Date" : ISODate("2012-08-15T22:32:34Z"), "body" : { "text/plain" : ”Hello Munich, nice to see yalll!" }, "Subject" : ”Live From MongoDB World” "opened" : {"date": ISODate("2012-08-15T22:32:34Z"), "user": ’Norberto'} } Post with Comment Attached Find document by primary key
- 53. MongoDB Drivers
- 54. Real applications are not built in the shell
- 55. MongoDB has native bindings for over 12 languages
- 56. Morphia MEAN Stack Java Python Perl Ruby Support for the most popular languages and frameworks
- 58. Great, I’m excited! What’s next?
- 59. docs.mongodb.org
- 61. Schema Design, Schema Design, Schema Design, Schema Design!
- 62. Legacy Migration 1. Copy existing schema & some data to MongoDB 2. Iterate schema design development Measure performance, find bottlenecks, and embed 1. one to one associations first 2. one to many associations next 3. many to many associations 3. Migrate full dataset to new schema New SoftwareApplication? Embed by default
- 63. Embedding over Referencing • Embedding is a bit like pre-joined data – BSON (Binary JSON) document ops are easy for the server • Embed (90/10 following rule of thumb) – When the “one” or “many” objects are viewed in the context of their parent – For performance – For atomicity • Reference – When you need more scaling – For easy consistency with “many to many” associations without duplicated data
- 64. It’s All About Your Application • Programs+Databases = (Big) DataApplications • Your schema is the impedance matcher – Design choices: normalize/denormalize, reference/embed – Melds programming with MongoDB for best of both – Flexible for development and change • Programs×MongoDB = Great Big DataApplications
- 65. We've introduced a lot of concepts here
- 66. IoT
- 67. MMS @ Scale Easily Best Practices, Automated Cut Management Overhead
- 68. Scalability @
- 69. DevOps @ Provision Upgrade Scale Continuous Backup Point-in-Time Recovery Performance Alerts
- 70. Wrapping up … • MongoDB is a great Developers Tool • Designed for : • Scalability • Flexibility • Performance • Multipurpose • Great Ecosystem
- 71. Well Done !
- 72. Questions?
Notes de l'éditeur
- We are here to help out on questions, suggestions, tips …
- Basically define what do you want to store
- das ist beängstigende Scheiße
- several differen values to the array example!
- For many-to-many associations, eliminate join table using array of references or embedded documents
- Choose embedding by default as oppose to referencing. Referencing is not just the default for relational DBs, there is no other choice.
- May you build Great Big Data Applications. Perhaps you can say inspiring quotes like Ken Thompson, “Play chess with God.” Ken and I worked on Perceptual Audio Coding, better known as Advanced Audio Coding or AAC as found in the iPod and iPhone. So I hope that this will inspire you to “Play music with God” to design your killer app
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