MongoDB for Java Developers
- 1. MongoDB JBoss User Group Brno dagi@gooddata.com Thursday 3 May 2012
- 2. About me • Roman Pichlík • GoodData • CZJUG • CZ Podcast • Follow me on Twitter • @_dagi Thursday 3 May 2012
- 3. Agenda • What’s wrong... • Demo • Using MongoDB in Java • MongoDB deployment in GoodData • Q&A Thursday 3 May 2012
- 4. A typical java app with RDBMS Web Layer Domain Business Logic Layer model Data Access Layer Thursday 3 May 2012
- 5. A typical java app with RDBMS Web Layer Domain Business Logic Layer model Data Access Layer Thursday 3 May 2012
- 6. A typical java app with RDBMS Web Layer Domain Business Logic Layer model am eta dat Data Access Layer a fo rm app ing to RD BM S sc hem a Thursday 3 May 2012
- 7. A typical java app with RDBMS Web Layer Domain Business Logic Layer model am eta dat Data Access Layer a fo rm app al ing e lation to b ject/R sa RD ic for O ice ver BM k mag on and v S sc hem a blac versi a con Thursday 3 May 2012
- 8. A typical java app with RDBMS Web Layer Domain Business Logic Layer model am eta dat Data Access Layer a fo rm app al ing e lation to b ject/R sa RD ic for O ice ver BM k mag on and v S sc hem a blac versi a con and transactions... Thursday 3 May 2012
- 9. Data Access Layer Thursday 3 May 2012 It’s not only complicated on this picture -> required 3rd party libraries on classpath
- 10. Data Access Layer CRUD interface Thursday 3 May 2012 It’s not only complicated on this picture -> required 3rd party libraries on classpath
- 11. Data Access Layer CRUD interface Persistence context logic (queries, merge...) Thursday 3 May 2012 It’s not only complicated on this picture -> required 3rd party libraries on classpath
- 12. Data Access Layer CRUD interface Persistence context logic (queries, merge...) Spring ORM Bridge Thursday 3 May 2012 It’s not only complicated on this picture -> required 3rd party libraries on classpath
- 13. Data Access Layer CRUD interface Persistence context logic (queries, merge...) Spring ORM Bridge ORM framework (Hibernate/JPA) Thursday 3 May 2012 It’s not only complicated on this picture -> required 3rd party libraries on classpath
- 14. Data Access Layer CRUD interface Persistence context logic (queries, merge...) Why the hell it’s so complicated?! Spring ORM Bridge ORM framework (Hibernate/JPA) Thursday 3 May 2012 It’s not only complicated on this picture -> required 3rd party libraries on classpath
- 15. Abstraction faux pas • We get used to live/think in Object world • We store data in RDBMS world • We build a bridge between Object/ RDBMS worlds • The bridge (ORM) is very complicated Thursday 3 May 2012 How many of you know patterns like Open Session in View, DTO? How many of you know the difference between first and second level cache? How many of you know the difference between Session#load and Session#get method?
- 16. Time for MongoDB Thursday 3 May 2012
- 17. MongoDB • Document oriented database • Schema less • Driver API • NoSQL but Query friendly • Open source • AGPL server, Apache 2.0 driver Thursday 3 May 2012
- 18. Data organization Thursday 3 May 2012 document - JSON schemaless (documents, fields)
- 19. Data organization RDBMS table Fruit id weight color discriminator country curvature Thursday 3 May 2012 document - JSON schemaless (documents, fields)
- 20. Data organization MongoDB RDBMS collection table Fruit Fruit Document id weight color discriminator country curvature Thursday 3 May 2012 document - JSON schemaless (documents, fields)
- 21. Data organization MongoDB RDBMS collection table Fruit Fruit Document id weight color discriminator country curvature Thursday 3 May 2012 document - JSON schemaless (documents, fields)
- 22. Data organization MongoDB RDBMS collection table Fruit Fruit Document id weight color discriminator country curvature id discriminator color weight country curvature row 1 apple red 10 cz null 2 banana null 5.1 br 3 Thursday 3 May 2012 document - JSON schemaless (documents, fields)
- 23. Data organization MongoDB RDBMS collection table Fruit Fruit Document id weight document color { discriminator "_id":"1", country "apple":{ curvature "weight":10, "country":"cz", "color":"red" id discriminator color weight country curvature } } row 1 apple red 10 cz null 2 banana null 5.1 br 3 { "_id":"2", "banana":{ "weight":5.1, "country":"br", "curvature":3 } } Thursday 3 May 2012 document - JSON schemaless (documents, fields)
- 24. Data organization MongoDB RDBMS collection table Fruit Fruit Document id weight document color { discriminator "_id":"1", country "apple":{ curvature "weight":10, "country":"cz", "color":"red" id discriminator color weight country curvature } } row 1 apple red 10 cz null 2 banana null 5.1 br 3 { "_id":"2", "banana":{ "weight":5.1, "country":"br", "curvature":3 } } Thursday 3 May 2012 document - JSON schemaless (documents, fields)
- 25. Data organization MongoDB RDBMS collection table Fruit Fruit Document id weight document color { discriminator "_id":"1", country "apple":{ curvature "weight":10, "country":"cz", "color":"red" id discriminator color weight country curvature } } row 1 apple red 10 cz null 2 banana null 5.1 br 3 { "_id":"2", column "banana":{ "weight":5.1, field "country":"br", "curvature":3 } } Thursday 3 May 2012 document - JSON schemaless (documents, fields)
- 26. Fruit demo :-) Thursday 3 May 2012
- 27. > use fruitdb change/create DB switched to db fruitdb insert document > db.createCollection("fruit"); { "ok" : 1 } > db.fruit.insert({apple:{weight:10, country:"cz", color:"red"}}); > db.fruit.findOne(); get first document { "_id" : ObjectId("4fa0f21591d1fb43c578fa26"), "apple" : { "color" : "red", "country" : "cz", "weight" : 10 } } > db.fruit.insert({banana:{weight:5.1, country: "br", curvature:3}}); > db.fruit.update({"apple.color":"green"}, {$set: {"apple.color":"red"}}); update document > db.fruit.remove({"_id":"4fa0f3a791d1fb43c578fa27"}) > db.fruit.find({"apple.color":"red"}); remove document { "_id" : ObjectId("4fa0f21591d1fb43c578fa26"), "apple" : { "color" : "red", "country" : "cz", "weight" : 10 } } find document Thursday 3 May 2012
- 28. Using MongoDB in Java MongoDB Java Application BSON Web Layer Domain JSON document Business Logic Layer { model "_id":"...", "apple":{ Data Access Layer "weight":10, "country":"cz", "color":"red" BSON API Auth. } } MongoDB driver Failover Connectivity Thursday 3 May 2012
- 29. Using MongoDB in Java Mongo m = new Mongo("localhost" , 27017 ); DB db = m.getDB( "fruitdb" ); DBCollection coll = db.getCollection("fruit"); BasicDBObject doc = new BasicDBObject(); BasicDBObject apple = new BasicDBObject(); apple.put("weight", 10); apple.put("country", "cz"); apple.put("color", "red"); doc.put("apple", apple); fruit.insert(doc); Thursday 3 May 2012
- 30. Sweet MongoDB • Thin Data Access Layer • No magic behind the scene • Flexible • schemaless • new document types • new collections • No Alter DDL Thursday 3 May 2012
- 31. Architecture impact • No transactions • only atomic update on document level • atomic FindAndUpdate operation • No constraints • application logic handles data inconsistency • Self sufficient documents over Joins Thursday 3 May 2012 • redundancy
- 32. MongoDB cluster in GoodData Sync. write, Master + Slave • GoodData platform No slave reads hosted on Amazon WS Client • 3-node • Journal enabled Master • EBS used for data replication • backup/restore Slave Slave • Application specific backup/restore Thursday 3 May 2012 * Master elected automatically on start or when the previous one goes down * Master writes to journal -> Ops log replicated to slaves
- 33. Thank you • Join us and work with MongoDB ;-) • http://www.gooddata.com/about/careers • Q&A Thursday 3 May 2012