GraphTOFebruary 2013, Mozilla Toronto

David Colebatch & Darrick Wiebe us@xnlogic.com

•Who We Are

•Intro to GraphDB

•Intro to Patent-Grant Data

•Graph Concepts

•Pacer::Xml

Agenda

Sponsored By:

¿por qué?

•Data Set Size

•Connectivity of Data

•Semi-structure

•Evolution of SOA and REST

The Zone of SQL Adequacy

Data complexity

Perf

orm

an

ce

SQL database

Requirement of application

Salary List

ERP

CRM

Network / Cloud

Management

Social

MDM

Geo

How?•Nodes / Vertices

•Relationships / Edges

Relational Model vs. Graph

Each of these modelsexpresses the same thing

Person* Friend*Person-Friend

Database # persons query time

MySQL 1,000 2,000 ms

Neo4j 1,000 2 ms

Neo4j 1,000,000 2 ms

Graph db performance

๏ a sample social graph

•with ~1,000 persons

๏ average 50 friends per person

๏ pathExists(a,b) limited to depth 4

๏ caches warmed up to eliminate disk I/O

Different Visualization

Query Languages

•Pacer - gem install pacer

•Cypher

•SPARQL - if you grok RDF already

US PTO Data

•Patent Grant Data in XML

•bi-weekly chunks

•Pacer::Xml has handy loader as an example:

jruby-1.7.0 > g = PacerXml::Sample.load_100Downloading a sample xml file from...

001> PacerXml

Importing XML into a graph? What do you do next?

Resources

https://github.com/xnlogic/pacer-xml

https://github.com/pangloss/pacer

http://neo4j.org/

http://tinkerpop.com/