The document discusses the GraphAware Framework, which allows developers to build custom APIs, transaction-driven behavior, and asynchronous computations for Neo4j. It provides examples like the TimeTree module for storing and querying time series data and a change feed module for tracking graph changes. The framework makes it easy to build, test, and deploy these advanced functionalities for Neo4j.

1. GraphAware Framework
advanced Neo4j use cases
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Michal Bachman
@graph_aware
SAN FRANCISCO | 10.22.2014
powered by
GraphAwareTM

2. Advanced Use Cases
GraphAware Framework (implementing advanced functionality)
GraphAware Framework Modules (built by us, used by you)
GraphAwareTM
About this Talk

3. GraphAwareTM
Advanced Use Cases
Custom APIs
Transaction-Driven Behaviour
Asynchronous Computation

4. GraphAwareTM
Advanced Use Cases
Custom APIs
Transaction-Driven Behaviour
Asynchronous Computation

5. GraphAwareTM
Custom APIs - What?
a.k.a. “unmanaged extensions”
“Stored procedures” on steroids
Implemented and tested (!) in Java
Deployed with Neo4j (same lifecycle)

6. GraphAwareTM
Custom APIs - Why?
Access to native Neo4j API (Java)
Performance
Locking
Too complex for Cypher
Functions missing in Cypher
Custom input/output format
Limit to read-only
Code to Data
…

7. GraphAware Framework makes it extremely easy
to build, test, and deploy custom Neo4j APIs.
GraphAwareTM
Custom APIs (How?)

8. Custom APIs - How? (GraphAware)
GraphAwareTM
pure Spring MVC
test with GraphUnit
drop to plugins
restart Neo

9. GraphAwareTM
Custom APIs - Example
representing time in Neo4j
storing and querying time series data
GraphAware TimeTree

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11. GraphAwareTM
TimeTree Demo

12. GraphAwareTM
Advanced Use Cases
Custom APIs
Transaction-Driven Behaviour
Asynchronous Computation

13. Transaction-Driven Behaviour - What?
GraphAwareTM
Neo4j is fully ACID
“Triggers” on steroids
Implemented and tested (!) in Java

14. Transaction-Driven Behaviour - Why?
GraphAwareTM
Integrations with other systems
In-graph indexing
Additional modifications
Schema enforcement

15. Transaction-Driven Behaviour (How?)
GraphAware Framework makes it extremely easy
to build, test, and deploy custom Transaction-
Driven functionality.
GraphAwareTM

16. Transaction-Driven Behaviour - Examples
GraphAwareTM
Tracking changes in your graph (demo)
Assigning a UUID to each node (demo)
Defining and enforcing constraints (wip)
Auditing
…

17. Transaction-Driven Behaviour - Demo
GraphAwareTM

18. GraphAwareTM
Advanced Use Cases
Custom APIs
Transaction-Driven Behaviour
Asynchronous Computation

19. Asynchronous Computation - What?
GraphAwareTM
Neo4j is primarily OLTP
Requests drive transactions
How about background computation?

20. Asynchronous Computation - Why?
GraphAwareTM
Interesting graph algorithms
Expensive in real-time
Can be approximate
Can be approximated
There are quiet periods / dedicated slaves

21. Asynchronous Computation (How?)
GraphAware Framework makes it possible to
build, test, and deploy functionality executed in
the background during quiet periods.
GraphAwareTM

22. Asynchronous Computation - Examples
GraphAwareTM
Page Rank
Recommendations
Similarities
Centralities
Statistics
…

23. GraphAwareTM
Asynchronous Computation - Demo

24. GraphAware Framework makes it easy to build,
test, and deploy generic as well as domain-specific
functionality for Neo4j.
GraphAwareTM
GraphAware Framework

25. GraphAwareTM
GraphAware Framework
TimeTree
Algorithms
ChangeFeed
UUID
NodeRank

26. GraphAwareTM
GraphAware Framework
GraphUnit & RestTest
RelCount
WarmUp
Schema (wip)
Recommendation Engine (wip)

27. GraphAwareTM
GraphAware Framework
Open Source (GPL)
Active
Production Ready
Github (http://github.com/graphaware)
Our Web (http://graphaware.com)
Maven Central

28. GraphAwareTM
GraphAware Framework
Try it
Give us feedback
Contribute
Build Own Modules
Get in touch for consultancy / support
info@graphaware.com / @graph_aware

29. Thank You!
www.graphaware.com
@graph_aware
@bachmanm
GraphAwareTM