Data modeling . . . with graphs

@PeterBellWednesday, November 28, 12

Agenda

- Terminology- Examples- Patterns- Key takeaways

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Terminology

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relational database

tablescolumnsrecords

foreign keys

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neo4j

nodesrelationshipsproperties

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indexes

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indexes

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traversals

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Cypher

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OO language - domain objects

Java domain objectsHibernate

SQLTables/rows/columns/FKs

Object (graph|relational) mapping

Java domain objectsSpring Data Neo4j

CypherNodes/relationships/properties

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Examples

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Article

Author

WRITTEN_BY

Category

CATEGORIZED_UNDER

Comment

ADDED_TO

Commenter

WRITTEN_BY FOLLOWS

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Geographic

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Bioinformatic

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Patterns

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start with a whiteboard

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Handling entities

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...provide a familiar and consistent Spring based programming model while retaining

store specific features and capabilities

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Restaurant

User

- comment- rating

- name- address- cuisine

- first_name- last_name

RECOMMENDS_THE

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Restaurant

RECOMMENDS_A

User

- comment- rating

- name- address- cuisine

- first_name- last_name

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Restaurant

RECOMMENDS_THE

User

- comment- rating

- name- address

- first_name- last_name

CuisineSERVES

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Taj Mahal

RECOMMENDS

Fred Jones

- “Great garlic nan and tandoori”- 4/5

Indian cuisineSERVES

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read sentences from graph

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Indexes for starting points

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User

- email_address- first_name- last_name

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Relationships for querying

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User- email_address- first_name- last_name- shipping_state

Select * where shipping_state = ‘Ca’?

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User

- email_address- first_name- last_name

State

LIVES_IN - name- code

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California

Jess

Andrew

Andreas

LIVES_IN

LIVES_IN

LIVES_IN

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Use meaningful names

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Language Country

- country_id- name- flag url

- language_id- name- word count- country_id

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Language Country

- country_id- name- flag url

- language_id- name- word count

LanguageCountry

- language_id- country_id- spoken_since

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Language Country

- country_id- name- flag url

- language_id- name- word count

LanguageCountry

- language_id- country_id- spoken_since

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Language Country

- name- flag url

- name- word count

IS_SPOKEN_IN

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Language Country

- name- flag url

- name- word count

IS_SPOKEN_IN

SIMILAR_TO ADJACENT_TO

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Anti-Patterns

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Hefty nodes

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User

- first_name- last_name- email_address- bill_address- bill_city- bill_state- bill_zip

- ship_address- ship_city- ship_state- ship_zip- regular_customer

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User

- first_name- last_name- email_address- regular_customer

- street_address- city- state- zip

AddressBILLS_TO

SHIPS_TO

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User

- first_name- last_name- email_address

- street_address- city- state- zip

AddressBILLS_TO

SHIPS_TO

Regular customer

IS_A

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Regularcustomer

Jess

Andrew

Andreas

IS_A

IS_A

IS_A

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Missing nodes

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Peter JimEMAILED

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Peter JimSENT

EmailTO

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Hot node

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Key takeaways

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Indexes for starting points

Relationships for queries

Read sentences from the graph

Look out for verb’d nouns

Wednesday, November 28, 12

Data modeling with graphs @PeterBell

- Indexes for starting points- Relationships for queries- Read sentences from the graph- Look out for verb’d nouns

Wednesday, November 28, 12