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Data modeling . . . with graphs
@PeterBellWednesday, November 28, 12
Agenda
- Terminology- Examples- Patterns- Key takeaways
Wednesday, November 28, 12
Terminology
Wednesday, November 28, 12
relational database
tablescolumnsrecords
foreign keys
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Wednesday, November 28, 12
neo4j
nodesrelationshipsproperties
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Wednesday, November 28, 12
Wednesday, November 28, 12
indexes
Wednesday, November 28, 12
Wednesday, November 28, 12
indexes
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traversals
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Wednesday, November 28, 12
Wednesday, November 28, 12
Wednesday, November 28, 12
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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Wednesday, November 28, 12
Wednesday, November 28, 12
Article
Author
WRITTEN_BY
Category
CATEGORIZED_UNDER
Comment
ADDED_TO
Commenter
WRITTEN_BY FOLLOWS
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Geographic
Wednesday, November 28, 12
Bioinformatic
Wednesday, November 28, 12
Patterns
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start with a whiteboard
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Wednesday, November 28, 12
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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Wednesday, November 28, 12
Restaurant
User
- comment- rating
- name- address- cuisine
- first_name- last_name
RECOMMENDS_THE
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Wednesday, November 28, 12
Wednesday, November 28, 12
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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Wednesday, November 28, 12
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’?
Wednesday, November 28, 12
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
Wednesday, November 28, 12
Language Country
- country_id- name- flag url
- language_id- name- word count
LanguageCountry
- language_id- country_id- spoken_since
Wednesday, November 28, 12
Language Country
- country_id- name- flag url
- language_id- name- word count
LanguageCountry
- language_id- country_id- spoken_since
Wednesday, November 28, 12
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
Wednesday, November 28, 12
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
Wednesday, November 28, 12
Peter JimSENT
EmailTO
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Hot node
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Wednesday, November 28, 12
Key takeaways
Wednesday, November 28, 12
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
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