Graph database & neo4j

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Sandip Jadhav

Presentation contains basic of graph database, explained neo4j database concept with basic code samples.

Technology

Graph Database & Neo4j
Created By: Sandip Jadhav

Puzzle
Traces through all the edges of a graph without lifting one’s pencil
and without retracing any edge more than once
1. 2. 3.
4. 5. 6.
© 2013 TomTom. All rights reserved. Confidential information.2

Euler path
• An Euler path is a path that uses every edge of a
graph exactly once.
• Seven Bridges of Königsberg is a historically
notable problem in mathematics
• Theorem: An Eulerian trail exists in a connected
graph if and only if there are either no odd vertices
or two odd vertices.
© 2013 TomTom. All rights reserved. Confidential information.3

NOSQL
© 2013 TomTom. All rights reserved. Confidential information.4

Four NOSQL Categories
• Key-value stores
• Based On Amazon’s Dynamo Paper
• Data model : (global) collection of K-V pairs
• Example : Riak, Voldemort, Redis
• Column-Family
• Based on Google’s BigTable paper
• Data Model: big table, column families
• Example : Hbase, Hypertable, Cassandra
© 2013 TomTom. All rights reserved. Confidential information.5

Four NOSQL Categories
• Document Databases
• Inspired by Lotus Notes
• Data model : collection of K-V Collection
• Example : CouchDB, MongoDB
• Graph Databases
• Inspired by Euler & graph theory
• Data Model: nodes, relationship
• Example : AllegroGraph,Sones,Neo4j
© 2013 TomTom. All rights reserved. Confidential information.6

© 2013 TomTom. All rights reserved. Confidential information.7

Path Puzzles
© 2013 TomTom. All rights reserved. Confidential information.8

Mumbai Local Map
Graph to represent simple map
© 2013 TomTom. All rights reserved. Confidential information.9

Early Adopters of Graph Tech
Facebook Social Graph
© 2013 TomTom. All rights reserved. Confidential information.10

Early Adopters of Graph Tech
Google internet graph ( Page Rank ) & Knowledge Graph
© 2013 TomTom. All rights reserved. Confidential information.11
Google Knowledge Graph

© 2013 TomTom. All rights reserved. Confidential information.12
Graph Database
& Neo4j Intro

© 2013 TomTom. All rights reserved. Confidential information.13

Graph are Whiteboard friendly
© 2013 TomTom. All rights reserved. Confidential information.14

Top Reasons choose Graph database
15
• Problems with Join performance.
• Continuously evolving data set (often
involves wide and sparse tables)
• The Shape of Domain is naturally a
graph
• Open-ended business requirements
necessitating fast, iterative
development.
© 2013 TomTom. All rights reserved. Confidential information.

Graph Databases are Designed to:
• Highly connected data (social networks)
• Make sense of that data
• Recommendations (e-commerce)
• Path Finding (how do I know you?)
• A* (Least Cost path)
Data First Schema (bottom-up, but you still need to
design)
© 2013 TomTom. All rights reserved. Confidential information.16

Emerging Domains to use Graph DB
17 © 2013 TomTom. All rights reserved. Confidential information.

Neo4j
© 2013 TomTom. All rights reserved. Confidential information.18

Graph Db (Neo4j) Performance
© 2013 TomTom. All rights reserved. Confidential information.19

The Neo4J Secrete Sauce
© 2013 TomTom. All rights reserved. Confidential information.20

Neo4j Example : Matrix Movie
21 © 2013 TomTom. All rights reserved. Confidential information.

Create node & relationship
© 2013 TomTom. All rights reserved. Confidential information.22

Transaction
© 2013 TomTom. All rights reserved. Confidential information.23

Define Relationship
© 2013 TomTom. All rights reserved. Confidential information.24

Travels Graph
© 2013 TomTom. All rights reserved. Confidential information.25

Result of Travelasal
© 2013 TomTom. All rights reserved. Confidential information.26

Neo4J Logical architecture
© 2013 TomTom. All rights reserved. Confidential information.27

Query language : Cypher
© 2013 TomTom. All rights reserved. Confidential information.28

Query language : Cypher
© 2013 TomTom. All rights reserved. Confidential information.29

Query language : Gremlin
© 2013 TomTom. All rights reserved. Confidential information.30
• Graph travels language
• DSL (Groovy based)

http://console.neo4j.org/
© 2013 TomTom. All rights reserved. Confidential information.31

References
• http://martinfowler.com/bliki/PolyglotPersistence.html
• http://neo4j.com
© 2013 TomTom. All rights reserved. Confidential information.32

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Graph database & neo4j

1. Graph Database & Neo4j Created By: Sandip Jadhav

2. Puzzle Traces through all the edges of a graph without lifting one’s pencil and without retracing any edge more than once 1. 2. 3. 4. 5. 6. © 2013 TomTom. All rights reserved. Confidential information.2

3. Euler path • An Euler path is a path that uses every edge of a graph exactly once. • Seven Bridges of Königsberg is a historically notable problem in mathematics • Theorem: An Eulerian trail exists in a connected graph if and only if there are either no odd vertices or two odd vertices. © 2013 TomTom. All rights reserved. Confidential information.3

5. Four NOSQL Categories • Key-value stores • Based On Amazon’s Dynamo Paper • Data model : (global) collection of K-V pairs • Example : Riak, Voldemort, Redis • Column-Family • Based on Google’s BigTable paper • Data Model: big table, column families • Example : Hbase, Hypertable, Cassandra © 2013 TomTom. All rights reserved. Confidential information.5

6. Four NOSQL Categories • Document Databases • Inspired by Lotus Notes • Data model : collection of K-V Collection • Example : CouchDB, MongoDB • Graph Databases • Inspired by Euler & graph theory • Data Model: nodes, relationship • Example : AllegroGraph,Sones,Neo4j © 2013 TomTom. All rights reserved. Confidential information.6

15. Top Reasons choose Graph database 15 • Problems with Join performance. • Continuously evolving data set (often involves wide and sparse tables) • The Shape of Domain is naturally a graph • Open-ended business requirements necessitating fast, iterative development. © 2013 TomTom. All rights reserved. Confidential information.

16. Graph Databases are Designed to: • Highly connected data (social networks) • Make sense of that data • Recommendations (e-commerce) • Path Finding (how do I know you?) • A* (Least Cost path) Data First Schema (bottom-up, but you still need to design) © 2013 TomTom. All rights reserved. Confidential information.16

33. Thank you Any questions?

Editor's Notes

Data Model ColumnFamily: ColumnFamily is a single structure that can group Columns and SuperColumns with ease. Key: the permanent name of the record. Keys have different numbers of columns, so the database can scale in an irregular way. Keyspace: This defines the outermost level of an organization, typically the name of the application. For example, ‘3PillarDataBase’ (database name). Column: It has an ordered list of elements aka tuple with a name and a value defined. In comparison, most relational DBMS store data in rows, the benefit of storing data in columns, is fast search/ access and data aggregation
polyglot persistence will come at a cost - but it will come because the benefits are worth it.
A Graph Database + Lucene Index Property Graph Full ACID (atomicity, consistency, isolation, durability) High Availability (with Enterprise Edition) 32 Billion Nodes, 32 Billion Relationships, 64 Billion Properties Embedded Server REST API

Graph database & neo4j

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Editor's Notes