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== Green Man POC | |
:neo4j-version: neo4j-2.1 | |
:author: John Swain | |
:twitter: @swainjo | |
:tags: domain:POC | |
=== Load Sample Data | |
//setup | |
//hide | |
[source,cypher] | |
---- | |
CREATE | |
(dev1:Person{name:"Alex"}), | |
(dev2:Person{name:"Maria"}), | |
(dev3:Person{name:"Pepe"}), | |
(python:Technology{name:"Python"}), | |
(go:Technology{name:"Go"}), | |
(dev1)-[:KNOWS]->(python), | |
(dev1)-[:KNOWS]->(go), | |
(dev2)-[:KNOWS]->(python), | |
(dev3)-[:KNOWS]->(go), | |
(service1:Service{name:"Service #1"}), | |
(service2:Service{name:"Service #2"}), | |
(service1)-[:CONNECTS]->(service2), | |
(service1)-[:WRITTEN_WITH]->(go), | |
(service2)-[:WRITTEN_WITH]->(python); | |
---- | |
=== For the first output we are going just to show everything: | |
[source,cypher] | |
//graph | |
=== Show Python Related | |
So, what’s the point of all this? Basically, that you can do queries that will make the graph smaller for your needs. This example data that we have added is quite small (just few nodes), in the real graph that I am working on we have already few dozens. For example, imagine that you just want to see python related information: | |
[source,cypher] | |
---- | |
MATCH (t)-[r]-(t1) | |
WHERE t.name="Python" | |
RETURN t, r, t1; | |
---- | |
//table | |
//graph_result | |
=== Server 1 | |
Or you just want to see the people that can work with the Server #1 | |
[source,cypher] | |
---- | |
MATCH (s:Service)-[r]-()-[r1:KNOWS]-(p:Person) | |
WHERE s.name="Service #1" | |
RETURN s, p; | |
---- | |
//table | |
//graph_result |
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