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MongoDBJBoss User Group Brno
Thursday 3 May 2012
About me
• Roman Pichlík
• GoodData
• CZJUG
• CZ Podcast
• Follow me on Twitter
• @_dagi
Thursday 3 May 2012
Agenda
• What’s wrong...
• Demo
• Using MongoDB in Java
• MongoDB deployment in GoodData
• Q&A
Thursday 3 May 2012
A typical java app with RDBMS
Domain model
Data Access Layer
Business Logic Layer
Web Layer
Thursday 3 May 2012
A typical java app with RDBMS
Domain model
Data Access Layer
Business Logic Layer
Web Layer
Thursday 3 May 2012
A typical java app with RDBMS
Domain model
Data Access Layer
Business Logic Layer
Web Layer
a metadata for mapping to RDBMS schema
Thursday 3 May 2012
A typical java app with RDBMS
Domain model
Data Access Layer
Business Logic Layer
Web Layer
a metadata for mapping to RDBMS schemaa black magic for Object/Relational
conversion and vice versa
Thursday 3 May 2012
A typical java app with RDBMS
Domain model
Data Access Layer
Business Logic Layer
Web Layer
a metadata for mapping to RDBMS schemaa black magic for Object/Relational
conversion and vice versa
and transactions...
Thursday 3 May 2012
Data Access Layer
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
Data Access Layer
CRUD interface
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
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
Data Access Layer
CRUD interface
Spring ORM Bridge
Persistence context logic (queries, merge...)
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
Data Access Layer
CRUD interface
Spring ORM Bridge
Persistence context logic (queries, merge...)
ORM framework (Hibernate/JPA)
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
Data Access Layer
CRUD interface
Spring ORM Bridge
Persistence context logic (queries, merge...)
ORM framework (Hibernate/JPA)
Why the hell it’s so complicated?!
Thursday 3 May 2012
It’s not only complicated on this picture -> required 3rd party libraries on classpath
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?
Time for MongoDB
Thursday 3 May 2012
MongoDB
• Document oriented database
• Schema less
• Driver API
• NoSQL but Query friendly
• Open source
• AGPL server, Apache 2.0 driver
Thursday 3 May 2012
Data organization
Thursday 3 May 2012
document - JSONschemaless (documents, fields)
Data organizationRDBMS
Fruitid
weightcolor
discriminatorcountry
curvature
table
Thursday 3 May 2012
document - JSONschemaless (documents, fields)
Data organizationMongoDB
FruitDocument
collectionRDBMS
Fruitid
weightcolor
discriminatorcountry
curvature
table
Thursday 3 May 2012
document - JSONschemaless (documents, fields)
Data organizationMongoDB
FruitDocument
collectionRDBMS
Fruitid
weightcolor
discriminatorcountry
curvature
table
Thursday 3 May 2012
document - JSONschemaless (documents, fields)
Data organizationMongoDB
FruitDocument
collectionRDBMS
Fruitid
weightcolor
discriminatorcountry
curvature
table
id discriminator color weight country curvature1 apple red 10 cz null
2 banana null 5.1 br 3row
Thursday 3 May 2012
document - JSONschemaless (documents, fields)
Data organizationMongoDB
FruitDocument
collectionRDBMS
Fruitid
weightcolor
discriminatorcountry
curvature
table
id discriminator color weight country curvature1 apple red 10 cz null
2 banana null 5.1 br 3row
{ "_id":"1", "apple":{ "weight":10, "country":"cz", "color":"red" }}
{ "_id":"2", "banana":{ "weight":5.1, "country":"br", "curvature":3 }}
document
Thursday 3 May 2012
document - JSONschemaless (documents, fields)
Data organizationMongoDB
FruitDocument
collectionRDBMS
Fruitid
weightcolor
discriminatorcountry
curvature
table
id discriminator color weight country curvature1 apple red 10 cz null
2 banana null 5.1 br 3row
{ "_id":"1", "apple":{ "weight":10, "country":"cz", "color":"red" }}
{ "_id":"2", "banana":{ "weight":5.1, "country":"br", "curvature":3 }}
document
Thursday 3 May 2012
document - JSONschemaless (documents, fields)
Data organizationMongoDB
FruitDocument
collectionRDBMS
Fruitid
weightcolor
discriminatorcountry
curvature
table
id discriminator color weight country curvature1 apple red 10 cz null
2 banana null 5.1 br 3row
{ "_id":"1", "apple":{ "weight":10, "country":"cz", "color":"red" }}
{ "_id":"2", "banana":{ "weight":5.1, "country":"br", "curvature":3 }}
document
column
field
Thursday 3 May 2012
document - JSONschemaless (documents, fields)
Fruit demo :-)
Thursday 3 May 2012
> use fruitdbswitched to db fruitdb
> db.createCollection("fruit");{ "ok" : 1 }
> db.fruit.insert({apple:{weight:10, country:"cz", color:"red"}});
> db.fruit.findOne();{ "_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"}});
> db.fruit.remove({"_id":"4fa0f3a791d1fb43c578fa27"})
> db.fruit.find({"apple.color":"red"}); { "_id" : ObjectId("4fa0f21591d1fb43c578fa26"), "apple" : { "color" : "red", "country" : "cz", "weight" : 10 } }
change/create DB
insert document
get first document
update document
find document
remove document
Thursday 3 May 2012
Using MongoDB in Java
{ "_id":"...", "apple":{ "weight":10, "country":"cz", "color":"red" }}
JSON document
BSON
MongoDB Java Application
MongoDB driverFailover
BSON API
Domain model
Data Access Layer
Business Logic Layer
Web Layer
Connectivity
Auth.
Thursday 3 May 2012
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
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
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
• redundancyThursday 3 May 2012
MongoDB cluster in GoodData
• GoodData platform hosted on Amazon WS
• 3-node
• Journal enabled
• EBS used for data
• backup/restore
• Application specific backup/restore
Master
Slave Slave
replication
Client
No slave reads
Sync. write, M
aster + Slave
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
Thank you
• Join us and work with MongoDB ;-)
• http://www.gooddata.com/about/careers
• Q&A
Thursday 3 May 2012
