intro to neo4j 2.0

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Peter Neubauer @peterneubauer #neo4j

Introduction to NoSQL & Neo4j

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Peter Neubauer @peterneubauer #neo4j

Neo4j

Introduction to NoSQL & Neo4j

The Path Forward

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The Path Forward

1.Some things about Neo4j.

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The Path Forward


2.Programming lang examples

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The Path Forward



3.Cypher

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The Path Forward



3.Cypher

4.How do people use Neo4j?

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Everyone is talking about graphs...

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Everyone is talking about graphs...

Facebook Open Graph

Neo Technology, Inc Confidential

Core Industries & Use Cases:

Web / ISV Finance & Insurance

Datacom / Telecom

Network & Data Center Management

MDM

Social

Geo

Early Adopter Segments(What we expected to happen - view from several years ago)

Neo Technology, Inc Confidential*Community Users Not Included


Web / ISV Financial Services

Telecomm-unications


MDM

Social

Geo

Select Commercial Customers* Across Anticipated SegmentsNeo4j Adoption Snapshot




Telecomm-unications


MDM

Social

Geo





Telecomm-unications


MDM

Social

Geo


Core Industries & Use Cases: Software

Financial Services

Telecommunications

Health Care & Life Sciences

Web Social,HR & Recruiting

Media & Publishing

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

Gaming, Other


MDM / System of Record

Social

Geo

Recommend-ations

Identity & Access Mgmt

Content Management

BI, CRM, Impact Analysis, Fraud Detection, Resource

Optimization, etc.

Accenture

Finance

Energy Aerospace

Graph DB 101

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A graph database...

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A graph database...

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NO: not for charts & diagrams, or vector artwork

A graph database...

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YES: for storing data that is structured as a graph

A graph database...

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remember linked lists, trees?

A graph database...

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graphs are the general-purpose data structure

A graph database...

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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.”

You know relational

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You know relational

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foo

You know relational

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foo bar

You know relational

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foo barfoo_bar

You know relational

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now consider relationships...

We're talking about a Property Graph

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Nodes


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Nodes

Relationships

Emil

Andrés

Lars

Johan

Allison

Peter

Michael

Tobias

Andreas

IanMica

Delia

knows

knows

knowsknows

knows

knows

knows

knows

knows

knowsMica

knowsknowsMica

Delia

knows


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Nodes

Relationships

Properties (each a key+value)

Labels (constraints, Indexes for look-ups)

Looks different, fine. Who cares?

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๏a sample social graph

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•with ~1,000 persons

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๏average 50 friends per person

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๏pathExists(a,b) limited to depth 4

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๏caches warmed up to eliminate disk I/O

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# persons query time

Relational database 1 000 2000ms







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Neo4j 1 000 2ms







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Neo4j 1 000 2ms

Neo4j 1 000 000 2ms

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

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Show me some code, pleaseShow 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@NodeEntitypublic class Movie { @Indexed private String title; @RelatedToVia(type = “ACTS_IN”, direction=INCOMING) private Set<Role> cast; private Director director;}!@NodeEntitypublic class Actor { @RelatedTo(type = “ACTS_IN”) private Set<Movies> movies;}!@RelationshipEntitypublic class Role { @StartNode private Actor actor; @EndNode private Movie movie; private String roleName;}

neo4j.rbgem 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 youquery this "graph" database?

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© All Rights Reserved 2013 | Neo Technology, Inc.

(Introduction�� to�� Cypher)



Cypher�� is�� Neo4j's�� graph�� query�� language



•Declarative�� Pattern-Matching�� language��

•SQL-like�� syntax��

•Designed�� for�� graphs


It’s�� all�� about�� Patterns

A

B C


How?��


a b

Two�� nodes,�� one�� relationship


(a) --> (b)

a b




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

a b

Andreas

Query a graph with a pattern

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Andreas

Query a graph with a pattern

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// then traverse to find results MATCH (n:People)--()--(foaf) WHERE n.name = ‘Andreas’ RETURN foaf

Bindings

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REST://

Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Neo4j in the wild

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Thank you!

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intro to neo4j 2.0

Technology

use cases

nosql neo4j peter neubauer

path forward2

programming lang examples2

facebook open graph3

graph db

graph database

impact analysis