an(introduc/on(to(neo4j - goto conference schemafree • complex,(denselyrconnected(datasets...
TRANSCRIPT
#neo4j
Neo4j is a Graph Database
#neo4j
Neo4j is a Graph Database
#neo4j
Neo4j is a Graph Database
#neo4j
Neo4j is a Graph Database
#neo4j
Neo4j is a Graph Database
#neo4j
Nodes & Proper/es
#neo4j
Nodes & Proper/es
#neo4j
Nodes & Proper/es
#neo4j
Rela/onships
#neo4j
Rela/onships
#neo4j
Neo4j
32 billion nodes32 billion rela/onships64 billion proper/es
#neo4j
#neo4j
#neo4j
How do I query the data?
hIp://opfm.jpl.nasa.gov/
hIp://news.xinhuanet.com
Why Neo4j?
Why Neo4j?
Schema-‐free
Why Neo4j?
Schema-‐free• Complex, densely-‐connected datasets
Why Neo4j?
Schema-‐free• Complex, densely-‐connected datasets
ACID transac2ons
Why Neo4j?
Schema-‐free• Complex, densely-‐connected datasets
ACID transac2ons• Durable, consistent data
Why Neo4j?
Schema-‐free• Complex, densely-‐connected datasets
ACID transac2ons• Durable, consistent data
Performance
Why Neo4j?
Schema-‐free• Complex, densely-‐connected datasets
ACID transac2ons• Durable, consistent data
Performance• Millions of ‘joins’ per second
Why Neo4j?
Schema-‐free• Complex, densely-‐connected datasets
ACID transac2ons• Durable, consistent data
Performance• Millions of ‘joins’ per second• Consistent query /mes as dataset grows
from
stolefrom
stolefrom
enemy
stolefrom
enemy
enemy
stolefrom
enemy
enemy
enemy
stolefrom
enemy
enemy
companion
companion
enemy
stolefrom
lovesloves
enemy
enemy
companion
companion
enemy
stolefrom
lovesloves
enemy
enemy
Victory of the Daleks
appeared in
appeared in
companion
companion
enemy
stolefrom
lovesloves
enemy
enemyA Good Man Goes to War
appeared in
appeared in
appeared in
appeared in
Victory of the Daleks
appeared in
appeared in
companion
companion
enemy
GraphDatabaseService db = new EmbeddedGraphDatabase("/data/drwho");
GraphDatabaseService db = new EmbeddedGraphDatabase("/data/drwho");
Node theDoctor = db.createNode(); theDoctor.setProperty("name", "The Doctor"); Node daleks = db.createNode(); daleks.setProperty("name", "Daleks"); Node cybermen = db.createNode(); cybermen.setProperty("name", "Cybermen");
GraphDatabaseService db = new EmbeddedGraphDatabase("/data/drwho");
Node theDoctor = db.createNode(); theDoctor.setProperty("name", "The Doctor"); Node daleks = db.createNode(); daleks.setProperty("name", "Daleks"); Node cybermen = db.createNode(); cybermen.setProperty("name", "Cybermen"); theDoctor.createRelationshipTo(daleks, DynamicRelationshipType.withName("ENEMY")); theDoctor.createRelationshipTo(cybermen, DynamicRelationshipType.withName("ENEMY"));
ENEMY
ENEMY
GraphDatabaseService db = new EmbeddedGraphDatabase("/data/drwho");
Transaction tx = db.beginTx();try { Node theDoctor = db.createNode(); theDoctor.setProperty("name", "The Doctor"); Node daleks = db.createNode(); daleks.setProperty("name", "Daleks"); Node cybermen = db.createNode(); cybermen.setProperty("name", "Cybermen"); theDoctor.createRelationshipTo(daleks, DynamicRelationshipType.withName("ENEMY")); theDoctor.createRelationshipTo(cybermen, DynamicRelationshipType.withName("ENEMY"));
ENEMY
ENEMY
#neo4j
Cypher
(daleks)<-[:ENEMY]-(doctor)-[:ENEMY]->(cybermen)
ENEMY ENEMY
#neo4j
Cypher
(doctor)-[:ENEMY]->(daleks),(doctor)-[:ENEMY]->(cybermen)
ENEMY ENEMY
#neo4j
CREATE doctor = {name : 'The Doctor'}, daleks = {name : 'Daleks'}, cybermen = {name : 'Cybermen'}, doctor-[:ENEMY]->daleks, doctor-[:ENEMY]->cybermenRETURN doctor;
ENEMY ENEMY
Create Graph Using Cypher
#neo4j
CREATE doctor = {name : 'The Doctor'}, daleks = {name : 'Daleks'}, cybermen = {name : 'Cybermen'}, doctor-[:ENEMY]->daleks, doctor-[:ENEMY]->cybermenRETURN doctor;
ENEMY ENEMY
Create Graph Using Cypher
#neo4j
Dalek PropshIp://www.dalek6388.co.uk/
!tle:Power of the Daleks
species:Dalek
APPEARED_IN
USED_INprops:Daleks
name:Dalek Six-‐5
name:Dalek 7name:Dalek 2name:Dalek 1
MEMBER_OF MEMBER_OF
type:shoulders type:skirt
name:Dalek Six-‐5
name:Dalek 6 name:Dalek 5
ORIGINAL_PROPORIGINAL_PROP
ORIGINAL_PROP ORIGINAL_PROP
name:Dalek 1 name:Dalek 2 name:Dalek 7
!tle:Power of the Daleks!tle:The
Daleks
!tle:The Dalek
Invasion of Earth
name:Dalek Two-‐1name:Dalek One-‐5 name:Dalek Six-‐7
name:Dalek Six-‐5name:Dalek 1 name:Dalek 2 name:Dalek 7
#neo4j
Supply Chain Traceability
daleks episode
part originalprop
APPEARED_IN
USED_IN
MEMBER_OF
COMPOSED_OF
ORIGINAL_PROP
daleks episode
part originalprop
APPEARED_IN
USED_IN
MEMBER_OF
COMPOSED_OF
ORIGINAL_PROP
(daleks)-‐[:APPEARED_IN]-‐>(episode)<-‐[:USED_IN]-‐
daleks episode
part originalprop
APPEARED_IN
USED_IN
MEMBER_OF
COMPOSED_OF
ORIGINAL_PROP
(daleks)-‐[:APPEARED_IN]-‐>(episode)<-‐[:USED_IN]-‐()<-‐[:MEMBER_OF]-‐()-‐[:COMPOSED_OF]-‐>
daleks episode
part originalprop
APPEARED_IN
USED_IN
MEMBER_OF
COMPOSED_OF
ORIGINAL_PROP
(daleks)-‐[:APPEARED_IN]-‐>(episode)<-‐[:USED_IN]-‐()<-‐[:MEMBER_OF]-‐()-‐[:COMPOSED_OF]-‐> (part)-‐[:ORIGINAL_PROP]-‐>(originalprop)
daleks episode
part originalprop
APPEARED_IN
USED_IN
MEMBER_OF
COMPOSED_OF
ORIGINAL_PROP
START daleks=node:species(species='Dalek') MATCH daleks-‐[:APPEARED_IN]-‐>episode<-‐[:USED_IN]-‐ ()<-‐[:MEMBER_OF]-‐()-‐[:COMPOSED_OF]-‐> part-‐[:ORIGINAL_PROP]-‐>originalpropRETURN originalprop.name AS prop, part.type AS part, count(episode) AS episode_count, collect(episode.2tle) AS episodes ORDER BY episode_count desc LIMIT 1;
Cypher Query
Index Lookup
START daleks=node:species(species='Dalek') MATCH daleks-‐[:APPEARED_IN]-‐>episode<-‐[:USED_IN]-‐ ()<-‐[:MEMBER_OF]-‐()-‐[:COMPOSED_OF]-‐> part-‐[:ORIGINAL_PROP]-‐>originalpropRETURN originalprop.name AS prop, part.type AS part, count(episode) AS episode_count, collect(episode.2tle) AS episodes ORDER BY episode_count desc LIMIT 1;
Match Nodes & Relationships
START daleks=node:species(species='Dalek') MATCH daleks-‐[:APPEARED_IN]-‐>episode<-‐[:USED_IN]-‐ ()<-‐[:MEMBER_OF]-‐()-‐[:COMPOSED_OF]-‐> part-‐[:ORIGINAL_PROP]-‐>originalpropRETURN originalprop.name AS prop, part.type AS part, count(episode) AS episode_count, collect(episode.2tle) AS episodes ORDER BY episode_count desc LIMIT 1;
Return Values
START daleks=node:species(species='Dalek') MATCH daleks-‐[:APPEARED_IN]-‐>episode<-‐[:USED_IN]-‐ ()<-‐[:MEMBER_OF]-‐()-‐[:COMPOSED_OF]-‐> part-‐[:ORIGINAL_PROP]-‐>originalpropRETURN originalprop.name AS prop, part.type AS part, count(episode) AS episode_count, collect(episode.2tle) AS episodes ORDER BY episode_count desc LIMIT 1;
In Webadmin
#neo4j
The Hardest Working Prop Part
hIp://www.dalek6388.co.uk/
Dalek One’s shoulders
#neo4j
Download
hIp://neo4j.org/download/
#neo4j
Tutorial
hIps://github.com/jimwebber/neo4j-‐tutorial
daleks episode
part originalprop
match (daleks)-‐[:APPEARED_IN]-‐>(episode)<-‐[:USED_IN]-‐ ()<-‐[:MEMBER_OF]-‐()-‐[:COMPOSED_OF]-‐> (part)-‐[:ORIGINAL_PROP]-‐>(originalprop)
APPEARED_IN
USED_IN
MEMBER_OF
COMPOSED_OF
ORIGINAL_PROP
daleks episode
part originalprop
match (daleks)-‐[:APPEARED_IN]-‐>(episode)<-‐[:USED_IN]-‐ ()<-‐[:MEMBER_OF]-‐()-‐[:COMPOSED_OF]-‐> (part)-‐[:ORIGINAL_PROP]-‐>(originalprop)
APPEARED_IN
USED_IN
MEMBER_OF
COMPOSED_OF
ORIGINAL_PROP