1. MongoDB In Action 超群.com @fuchaoqun http://www.fuchaoqun.com

3. Dynamic querys

4. Replication

5. Sharding

6. GridFS

9. JSON-style documents

10. Schema-free

11. Written in C++ for high performance

12. Scalable

13. MapReduce

15. Dynamic querysInsert MySQL: INSERT INOT user (`name`, `age`) values ('foobar',25) Mongo: db.user.insert({'name' : 'foobar', 'age' : 25}) if you want add a column `email` on MySQL,you must : ALTER TABLE user…. But in Mongo,you can just: db.user.insert({'name' : 'foobar', 'age' : 25, 'email' : 'foo@bar.com'})

16. Dynamic querysDelete MySQL: DELETE * FROM user Mongo: db.user.remove({}) MySQL: DELETE FROM user WHERE age < 30 Mongo: db.user.remove({'age' : {$lt : 30}}) $gt : > ; $gte : >= ; $lt : < ; $lte : <= ; $ne : !=

17. Dynamic querysUpdate MySQL: UPDATE user SET `age` = 36 WHERE `name` = 'foobar' Mongo: db.user.update({'name' : 'foobar'}, {$set : {'age' : 36}}) MySQL: UPDATE user SET `age` = `age` + 3 WHERE `name` = 'foobar' Mongo: db.user.update({'name' : 'foobar'}, {$inc : {'age' : 3}}) See more @ http://tinyurl.com/yka6ras

18. Dynamic querysAdvanced MySQL: SELECT COUNT(*) FROM user WHERE `name` = 'foobar' Mongo: db.user.find({'name' : 'foobar'}).count() MySQL: SELECT * FROM user limit 10,20 Mongo: db.user.find().skip(10).limit(20)

19. Dynamic querysAdvanced MySQL: SELECT * FROM user WHERE `age` IN (25, 35,45) Mongo: db.user.find({'age' : {$in : [25, 35, 45]}}) MySQL: SELECT * FROM user limit 10,20 Mongo: db.user.find().skip(10).limit(20)

20. Dynamic querysAdvanced MySQL: SELECT * FROM user ORDER BY age DESC Mongo: db.user.find().sort({'age' : -1}) MySQL: SELECT DISTINCT(name) FROM user WHERE age > 20 Mongo: db.user.distinct('name', {'age': {$lt : 20}})

21. Dynamic querysAdvanced MySQL: SELECT name, sum(marks) FROM user GROUP BY name Mongo: db.user.group({ key : {'name' : true}, cond: {'name' : 'foo'}, reduce: function(obj,prev) { prev.msum += obj.marks; }, initial: {msum : 0} }); MySQL: SELECT name FROM user WHERE age < 20 Mongo: db.user.find('this.age < 20', {name : 1}) See more @ http://tinyurl.com/ykyuuwo

22. So…. MongoDB can do almost everything that MySQL can do, and quicker & smarter

24. Replica Pairs

30. Who is using MongoDB? See more @ http://tinyurl.com/dhrryw

31. Thanks! Q&A