Betting the Company (Literally) on a Graph Database – Aseem Kishore @ GraphConnect NY 2013
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Transcript of Betting the Company (Literally) on a Graph Database – Aseem Kishore @ GraphConnect NY 2013
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BETTING THE COMPANY(LITERALLY) ON A
GRAPH DATABASETIPS, TRICKS, AND LESSONS LEARNED
Aseem KishoreJan–Nov 2013
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START user=node(1), other=node(2)
MATCH (user) -[r1:has|wants]-> (thing) <-[r2:has|wants]- (other)
WHERE TYPE(r1) <> TYPE(r2)
RETURN TYPE(r1), TYPE(r2), thing
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SO…
JUST WHAT IS AGRAPH DATABASE?
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# adjacency list:
nodes = List<Node>
neighbors = Map<Node, List<Node>>
neighbors[node1].add(node2)
# adjacency matrix:
nodes = List<Node>
connections = Map<Node, Map<Node, bool>>
connections[node1][node2] = true
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OKAY...
LET'S TALK ABOUTWHAT WE LEARNED
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OUR USAGE
NODE.JS+
REST API+
CYPHER
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WHAT WE LEARNEDUnique, expressive relationship types
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WHAT WE LEARNEDUnique, expressive relationship types
Cache stats where possible
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WHAT WE LEARNEDUnique, expressive relationship types
Cache stats where possible
Capture history through event nodes
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WHAT WE LEARNEDUnique, expressive relationship types
Cache stats where possible
Capture history through event nodes
First-class objects nodes, not rels
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WHAT WE LEARNEDUnique, expressive relationship types
Cache stats where possible
Capture history through event nodes
First-class objects nodes, not rels
Connected data nodes, not props
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WHAT WE LEARNEDUnique, expressive relationship types
Cache stats where possible
Capture history through event nodes
First-class objects nodes, not rels
Connected data nodes, not props
Maintain linked lists for O(1) queries
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NEO4J 2.0+Labels & constraints
Relationship type grouping
Transactional Cypher
Automatic sharding?
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AND CHECK OUT...
(MySQL)—[:TO]—>(Neo4j)A DBA PERSPECTIVEDAVE STERN @ 11:30