Intro to Neo4j 2.0

Introduction to
NoSQL & Neo4j
Peter Neubauer
@peterneubauer
#neo4j

1

Neo4j

Introduction to
NoSQL & Neo4j
Peter Neubauer
@peterneubauer
#neo4j

1

The Path Forward
1.Some things about Neo4j.

2

The Path Forward
2.Programming lang examples

2

The Path Forward
3.Cypher

2

The Path Forward
3.Cypher
4.How do people use Neo4j?

2

Everyone is talking about graphs...

3

Everyone is talking about graphs...

Facebook Open Graph

3

Early Adopter Segments

(What we expected to happen - view from several years ago)
Core Industries
& Use Cases:

Web / ISV

Finance &
Insurance

Network & Data Center
Management

MDM

Social

Geo

Neo Technology, Inc Conﬁdential

Datacom /
Telecom

Neo4j Adoption Snapshot

Select Commercial Customers* Across Anticipated Segments
Core Industries
& Use Cases:

Web / ISV

Management

MDM

Social

Geo
*Community Users Not Included

Financial
Services

Telecommunications


Core Industries
& Use Cases:

Web / ISV

Finance &
Insurance

Management

MDM

Social

Geo


Telecommunications


Core Industries
Core Industries
& & Use Cases:
Use Cases:

Web / ISV
Software

Finance &
Financial
Insurance
Services

TelecommTelecommu Health Care &
unications
Life Sciences
nications

Web Social,
HR & Recruiting

Media &
Publishing

Energy, Services,
Automotive, Gov’t,
Logistics, Education,
Gaming, Other

Network & DataData
Network & Center
Management

Center Management
MDM / System of
MDM
Record
Social
Social

Accentur
e

Geo
Geo
Recommend-ations
Identity & Access
Mgmt

Finance

Content
Management
BI, CRM, Impact Analysis,
Fraud Detection, Resource
Optimization, etc.

Energy

Aerospace

A graph database...
NO: not for charts diagrams, or vector artwork

8

A graph database...
YES: for storing data that is structured as a graph

8

A graph database...
remember linked lists, trees?

8

A graph database...
graphs are the general-purpose data structure

8

A graph database...
graphs are the general-purpose data structure
“A relational database may tell you the average age of everyone
in this session,
but a graph database will tell you who is most likely to buy you a
beer.”

8

You know relational

foo

bar
9

You know relational

foo

foo_bar

bar
9

You know relational
now consider relationships...

9

We're talking about a
Property Graph

10

Property Graph
Nodes

10

Property Graph
Nodes

Relationships

10

Property Graph
Joh

Em

il

knows

knows

Nodes

Alli

Tob
i

as

knows

Lar

An d

son

knows

knows
An d

knows

rea

s

Pet
er

Miic
Mc
a
a

knows
knows

rés

knows

knows

Relationships

an
s

knows
knows

Ian

knows
De
lia

Mi c

hae

l

Properties (each a key+value)

Labels (constraints, Indexes for look-ups)
10

Looks different, ﬁne. Who cares?

11

๏ a sample social graph

11


• with ~1,000 persons

11



๏ average 50 friends per person

11



๏ pathExists(a,b) limited to depth 4

11





๏ caches warmed up to eliminate disk I/O

11





# persons
Relational database 1 000

query time
2000ms

11





# persons
Neo4j 1 000

query time
2000ms
2ms

11





# persons

query time
2000ms

Neo4j 1 000

2ms

Neo4j 1 000 000

2ms
11

Graph Database: Pros Cons
๏ Strengths

• Powerful data model, as general as RDBMS

• Fast, for connected data

• Easy to query

๏ Weaknesses:

• Sharding (though they can scale reasonably well)

‣also, stay tuned for developments here

• Requires conceptual shift

‣though graph-like thinking becomes addictive
12

Show me some code, please
GraphDatabaseService graphDb =  
new EmbeddedGraphDatabase(“var/neo4j”);
Transaction tx = graphDb.beginTx();
try {
Node steve = graphDb.createNode();
Node michael = graphDb.createNode();

!
steve.setProperty(“name”, “Steve Vinoski”);
michael.setProperty(“name”, “Michael Hunger”);

!
Relationship presentedWith = steve.createRelationshipTo(
michael, PresentationTypes.PRESENTED_WITH);
presentedWith.setProperty(“date”, today);
tx.success();
} finally {
tx.finish();
}

Java Traversal Framework
for ( Path position : Traversal.description()
        .depthFirst()
        .relationships( Rels.KNOWS )
        .relationships( Rels.LIKES, Direction.INCOMING )
        .evaluator( Evaluators.toDepth( 5 ) )
        .traverse( node ) )
{
    output += position + n;
}

Spring Data Neo4j
@NodeEntity
public class Movie {
@Indexed private String title;
@RelatedToVia(type = “ACTS_IN”, direction=INCOMING)
private SetRole cast;
private Director director;
}

!
@NodeEntity
public class Actor {
@RelatedTo(type = “ACTS_IN”)
private SetMovies movies;
}

!
@RelationshipEntity
public class Role {
@StartNode private Actor actor;
@EndNode private Movie movie;
private String roleName;
}

neo4j.rb
gem install neo4j

!
require 'rubygems'
require 'neo4j'
!
class Person
include Neo4j::NodeMixin
property :name, :age, :rank
index :name
has_n :friends
end
!
Neo4j::Transaction.run do
neo = Person.new :name='Neo', :age=29
morpheus =
Person.new :name='Morpheus', :rank='Captain'
neo.friends morpheus
end
!
neo.friends.each {|p|...}

And, but, so how do you
query this graph database?

17

language

Technology, Inc.


graphs

Technology, Inc.


Patterns

A

B

C
Technology, Inc.

Technology, Inc.

Technology, Inc.


Technology, Inc.

relationship

a

b

Technology, Inc.

relationship

a

b

(a) -- (b)
Technology, Inc.

relationship
MATCH (a)--(b)
RETURN a, b;

a

b
Technology, Inc.

Intro to Neo4j 2.0

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