1. MongoDB: ObjStorSol + Des+Map’n Yeah, I shortened that… but not to OSSDnM

2. … AppServer - J2EE (JBoss, Resin) Hosted AppServices - Google AppEngine Datastore - Objectify (GAEJ ORM/ODM) MongoDB – Morphia (ODM) Community Developer (and more) How I got here…

3. Basic Expectations No transactions (but atomic updates) Memory mapped data files Document store Fast-N-Loose by default (no safe/w/GLE) Indexing order matters; query optimizer helps One writer (serialized writes) One JS thread (M/R, $where, group) Many query threads (non-js) BSON everywhere

4. What is the shell?

5. What is it good for? Debugging Testing Administration Scripting Glue Not building apps, probably…

6. Shell Demo

7. Single Collection, Inheritance One – Many Embedded Reference On the one -> Array of refs On the Many -> Add a ref field Trees Many – Many Prob. best to store on only one side. Designs

8. { _id : "scotthernandez", name : "Scott Hernandez", desc : "that guy", groups : [ "users", "admins", "fishermen" ] } People - Groups

9. { "_id" : "users", "desc" : "normal users“ }, { "_id" : "fishermen", "desc" : "people who fish“ }, { "_id" : "admins", "privledges" : 2, "desc" : "administrative users“ } Group - People

10. blog =: { text: “I like to swim”, author: “scott”, comments: [ {author:”ralph”, text:”me2”, replies:[ {author:”liz”, text:”doesn’t every1?”} ]}, {author:”jeff”, text:”good to know”} ], ts:Date(…) } Tree

11. Raw MongoDB Driver Map<String, Object> view of objects Rough but dynamic Morphia (type-safe mapper) POJOs Annotation based (similar to JPA) Syntactic sugar and helpers Others Code generators, other jvm languages Java Library Choices

12. BSON Package Types Encode/Decode DBObject (Map<String, Object>) Nested Maps Directly encoded to binary format (BSON) MongoDB Package Mongo DBObject (BasicDBObject/Builder) DB/DBColletion DBQuery/DBCursor MongoDB Java Driver

13. Data Types int and long Array/ArrayList String byte[] – binData Double (IEEE 754 FP) Date (ms since epoch UTC) Null Boolean JavaScript String Regex ObjectId (ts(4)+ host(3) + pid(2)+ incr(3) ) 12-byte BSON Package

14. Morphia: MongoDB Mapper Maps POJO Type-safe Access Patterns: DAO/Datastore/RollYourOwn Data Types Low performance overhead JPA like Many concepts came from Objectify (GAE)

15. Annotations @Entity(“collectionName”) @Id @Transient (not transient) @Indexed(…) @Property(“fieldAlias”) @AlsoLoad({aliases}) @Reference @Serialized [@Embedded]

16. Lifecycle Events @PrePersist @PreSave @PostPersist @PreLoad @PostLoad EntityListeners EntityInterceptor

17. Datastore Basics get(class, id) find(class, […]) save(entity, […]) delete(query) getCount(query) update/First(query, upOps) findAndModify/Delete(query, upOps)

18. Basic POJO @Entity class Person { @Id ObjectId name; SexEnum sex; @Indexed Integer height; }

19. Queries Datastoreds = … Query q = ds.createQuery(Person.class); q.field(“height”).greaterThan(155).limit(5); for(Person p : q.fetch()) print(p); Person me = q.field(“name”).startsWith(“sc”).get();

20. Save whole object graphs (get/save) Update parts (embedded objects) Un/set fields Push/pop arrays (lists) Increment numeric fields Any combination of the above Get/Save or Update

21. Update Operations set(field, val) unset(field) inc(field, [val]) dec(field) add(field, val) addAdd(field, vals) removeFirst/Last(field) removeAll(field, vals)

22. Update existing props Update w/new props Examples

23. Update Datastoreds = … Query q = ds.find(Person.class, “name”, “scott”); UpdateOperationuo = ds.createUpdateOperations(cls) uo.set(“city”, “seattle”).set(“lastUpdated”, new Date()); UpdateResults res = ds.update(q, uo); if(res.getUpdatedCount() > 0) //do something?

24. Morphia Relationships Annotations [@Embedded] Load/Save with Entity Update @Reference Stored as DBRef(s) Loaded with Entity Not automatically saved Key<T> Stored as DBRef(s) Just a link, but resolvable by Datastore/Query

25. Or… ScottHernandez@gmail.com Questions?