1. Twitter: #mongouk Intro to MongoDBMongoUKDwight Merriman, 10gen

2. Non-relational Operational Stores (“NoSQL”) RDBMS (Oracle, MySQL) New Gen. OLAP (vertica, aster, greenplum)

3. NoSQL Really Means: non-relational, next-generation operational datastores and databases

4. no joins + no complex transactions Horizontally ScalableArchitectures

5. no joins + no complex transactions New Data Models

6. New Data Models improved ways to develop applications?

7. Data Models Key / Value memcached, Dynamo Tabular BigTable Document Oriented MongoDB, CouchDB, JSON stores

10. JSON-style Documents represented as BSON {“hello”:“world”} 1600000002hello0006000000world0000 http://bsonspec.org

11. Flexible “Schemas” {“author”: “eliot”, “text”: “...”, “tags”: [“mongodb”]} {“author”: “mike”, “text”: “...”}

12. Dynamic Queries

13. Atomic Update Modifiers

14. Focus on Performance

15. Replication Replica sets (v1.6, july) Master / slave (v1.0) m1 m3 master m2 slave slave slave

16. Auto-sharding Shards mongod mongod mongod ... Config Servers mongod mongod mongod mongod mongod mongod mongos mongos ... client

17. Many Supported Platforms / Languages

18. Best Use Cases Scaling Out Caching The Web High Volume

19. Less Good At highly transactional ad-hoc /offline business intelligence problems that require SQL

20. A Quick Aside _id special key present in all documents unique across a Collection any type you want

21. The Administrative Shell (mongo) Examples to follow are in Javascript syntax, but can be done in any language.

22. Post {author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “intro”]}

23. Comment {author: “eliot”, date: new Date(), text: “great post!”}

24. New Post post = {author: “mike”, date: new Date(), text: “my blog post...”, tags: [“mongodb”, “intro”]} db.posts.insert(post)

25. Embedding a Comment c = {author: “eliot”, date: new Date(), text: “great post!”} db.posts.update({_id: post._id}, {$push: {comments: c}})

26. Embedding a Comment c = {author: “eliot”, date: new Date(), text: “great post!”} db.posts.update({_id: post._id}, {$push: {comments: c}}) Atomic

27. Posts by Author db.posts.find({author: “mike”}) Note: queries are JSON!

28. Last 10 Posts db.posts.find() .sort({date: -1}) .limit(10)

29. Posts Since April 1 last_week = new Date(2010, 3, 1) db.posts.find({date: {$gt: last_week}})

30. Posts Ending With ‘Tech’ db.posts.find({text: /Tech$/})

31. Posts With a Tag db.posts.find({tags: “mongodb”}) ...and Fast (multi-key indexes) db.posts.ensureIndex({tags: 1})

32. Indexing / Querying on Embedded Docs (dot notation) db.posts.ensureIndex({“comments.author”: 1}) db.posts.find({“comments.author”: “eliot”})

33. Counting Posts db.posts.count() db.posts.find({author: “mike”}).count()

34. Basic Paging page = 2 page_size = 15 db.posts.find().limit(page_size) .skip(page * page_size)

35. Migration: Adding Titles (just start adding them) post = {author: “mike”, date: new Date(), text: “another blog post...”, tags: [“mongodb”], title: “MongoDB for Fun and Profit”} post_id = db.posts.save(post)

36. Advanced Queries $gt, $lt, $gte, $lte, $ne, $all, $in, $nin, $or db.posts.find({$where: “this.author == ‘mike’ || this.title == ‘foo’”})

37. Other Cool Stuff aggregation and map/reduce capped collections unique indexes GridFS geospatial indexes

38. Download MongoDB http://www.mongodb.org 10gen offers advisory consulting services and training for new projects using MongoDB – schema design, architecture advice, performance tuning… Thanks dwight@10gen.com @dmerr dmerr.tumblr.com