14:40: Bell - Data Modeling with Graphs

Data modeling . . . with graphs

@PeterBellTuesday, November 6, 12

Agenda

- Terminology- Examples- Patterns- Key takeaways

Tuesday, November 6, 12

Terminology


relational database

tablescolumnsrecords

foreign keys



neo4j

nodesrelationshipsproperties




indexes



indexes


traversals





Cypher


OO language - domain objects

Java domain objectsHibernate

SQLTables/rows/columns/FKs

Object (graph|relational) mapping

Java domain objectsSpring Data Neo4j

CypherNodes/relationships/properties


Examples




Article

Author

WRITTEN_BY

Category

CATEGORIZED_UNDER

Comment

ADDED_TO

Commenter

WRITTEN_BY FOLLOWS


Geographic


Bioinformatic


Patterns


start with a whiteboard



Handling entities


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

store specific features and capabilities



Restaurant

User

- comment- rating

- name- address- cuisine

- first_name- last_name

RECOMMENDS_THE




Restaurant

RECOMMENDS_A

User

- comment- rating

- name- address- cuisine



Restaurant

RECOMMENDS_THE

User

- comment- rating

- name- address


CuisineSERVES


Taj Mahal

RECOMMENDS

Fred Jones

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

Indian cuisineSERVES


read sentences from graph



Indexes for starting points


User

- email_address- first_name- last_name


Relationships for querying


User- email_address- first_name- last_name- shipping_state

Select * where shipping_state = ‘Ca’?


User

- email_address- first_name- last_name

State

LIVES_IN - name- code


California

Jess

Andrew

Andreas

LIVES_IN

LIVES_IN

LIVES_IN


Use meaningful names


Language Country

- country_id- name- flag url

- language_id- name- word count- country_id


Language Country


- language_id- name- word count

LanguageCountry

- language_id- country_id- spoken_since


Language Country


- language_id- name- word count

LanguageCountry

- language_id- country_id- spoken_since


Language Country

- name- flag url

- name- word count

IS_SPOKEN_IN


Language Country

- name- flag url

- name- word count

IS_SPOKEN_IN

SIMILAR_TO ADJACENT_TO


Anti-Patterns


Hefty nodes


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


User

- first_name- last_name- email_address- regular_customer

- street_address- city- state- zip

AddressBILLS_TO

SHIPS_TO


User

- first_name- last_name- email_address

- street_address- city- state- zip

AddressBILLS_TO

SHIPS_TO

Regular customer

IS_A


Regularcustomer

Jess

Andrew

Andreas

IS_A

IS_A

IS_A


Missing nodes


Peter JimEMAILED


Peter JimSENT

EmailTO


Hot node



Key takeaways


Indexes for starting points

Relationships for queries

Read sentences from the graph

Look out for verb’d nouns


Data modeling with graphs @PeterBell

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


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14:40: Bell - Data Modeling with Graphs

Technology