MongoDB In Action

超群 .com@fuchaoqun

http://www.fuchaoqun.com

I will talk ….

•About MongoDB

•Dynamic querys

•Replication

•Sharding

•GridFS

•Performance

About MongoDB?

•Document-oriented

•JSON-style documents

•Schema-free

•Written in C++ for high

performance

•Scalable

•MapReduce

•Many supported platforms

& languages

Dynamic querysSelect

MySQL: SELECT * FROM user

Mongo: db.user.find()

MySQL: SELECT * FROM user WHERE name = 'foobar'

Mongo: db.user.find({'name' : 'foobar'})

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'})

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 : !=

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

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)

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)

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}})

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

So….

MongoDB can do almost everything that MySQL can do,

and quicker & smarter

Replication

•Master-Slave Replication

•Replica Pairs

•Limited Master-Master Replication

Sharding

GridFS•files： object metadata

•chunks： binary data

Use GridFS In PHP

GridFS Projects

•nginx-gridfs

http://github.com/mdirolf/nginx-gridfs

•gridfs-fuse

http://github.com/mikejs/gridfs-fuse

Performance

Database Load time Retrieval time File size

Tokyo Cabinet/Tyrant 12m 3.5m 24MB

CouchDB 5.5m 14.5m 236MB

MongoDB 3m 4m 192-960MB

From: http://tinyurl.com/okq7m5

From: http://tinyurl.com/yc3rlld

See more @ http://tinyurl.com/yanwn2b

Benchmark means nothing , but most of us like it.

Who is using MongoDB?

See more @ http://tinyurl.com/dhrryw

Thanks!

Q&A