BTBW3 - Graph Databases

Instructions

The docker-compose file contained within this project will launch a Neo4j container running the latest available image. To start it run: docker-compose up -d; docker-compose logs -f

Within the import folder are several CSV files to import. These represent different pieces of our model and the relationships between them. To import these files run the following commands in order:

Clear all data

MATCH (n)
   WITH n LIMIT 10000
   OPTIONAL MATCH (n)-[r]->()
   DELETE n,r;

Load in person data & relationships

LOAD CSV WITH HEADERS FROM "file:///person_node.csv" AS r FIELDTERMINATOR ';'
WITH r LIMIT 10 WHERE r.`id:ID(Person)` IS NOT NULL
RETURN r.`id:ID(Person)`, r.name, r.`born:int`, r.poster_image

LOAD CSV WITH HEADERS FROM "file:///acted_in_rels.csv" AS r FIELDTERMINATOR ';'
WITH r LIMIT 10
RETURN r.`:START_ID(Person)`, r.`:END_ID(Movie)`, SPLIT(r.role, '/')

CREATE CONSTRAINT ON (g:Genre) ASSERT g.id IS UNIQUE;

LOAD CSV WITH HEADERS FROM "file:///genre_node.csv" AS r FIELDTERMINATOR ';'
CREATE (g:Genre {
 id: toInteger(r.`id:ID(Genre)`),
 name: r.name
});

Keywords

CREATE CONSTRAINT ON (k:Keyword) ASSERT k.id IS UNIQUE;

LOAD CSV WITH HEADERS FROM "file:///keyword_node.csv" AS r FIELDTERMINATOR ';'
CREATE (k:Keyword {
  id: toInteger(r.`id:ID(Keyword)`),
  name: r.name
});

Movies

CREATE CONSTRAINT ON (m:Movie) ASSERT m.id IS UNIQUE;

LOAD CSV WITH HEADERS FROM "file:///movie_node.csv" AS r FIELDTERMINATOR ';'
CREATE (m:Movie {
  id: toInteger(r.`id:ID(Movie)`),
  title: r.title,
  tagline: r.tagline,
  summary: r.summary,
  poster_image: r.poster_image,
  duration: toInteger(r.`duration:int`),
  rated: r.rated
});

CREATE CONSTRAINT ON (p:Person) ASSERT p.id IS UNIQUE;

LOAD CSV WITH HEADERS FROM "file:///person_node.csv" AS r FIELDTERMINATOR ';'
CREATE (p:Person {
  id: toInteger(r.`id:ID(Person)`),
  name: r.name,
  born: toInteger(r.`born:int`),
  poster_image: r.poster_image
});

Relationships between Movie and Genre

LOAD CSV WITH HEADERS FROM "file:///has_genre_rels.csv" AS r FIELDTERMINATOR ';'
MATCH (m:Movie {id: toInteger(r.`:START_ID(Movie)`)}), (g:Genre {id: toInteger(r.`:END_ID(Genre)`)})
CREATE (m)-[:HAS_GENRE]->(g);

Relationships between Movie and Keywords

LOAD CSV WITH HEADERS FROM "file:///has_keyword_rels.csv" AS r FIELDTERMINATOR ';'
MATCH (m:Movie {id: toInteger(r.`:START_ID(Movie)`)}), (k:Keyword {id: toInteger(r.`:END_ID(Keyword)`)})
CREATE (m)-[:HAS_KEYWORD]->(k);

Relationships between Person and Movie (Writer of)

LOAD CSV WITH HEADERS FROM "file:///writer_of_rels.csv" AS r FIELDTERMINATOR ';'
MATCH (p:Person {id: toInteger(r.`:START_ID(Person)`)}), (m:Movie {id: toInteger(r.`:END_ID(Movie)`)})
CREATE (p)-[:WRITER_OF]->(m);

Relationships between Person and Movie (Producer of)

LOAD CSV WITH HEADERS FROM "file:///produced_rels.csv" AS r FIELDTERMINATOR ';'
MATCH (p:Person {id: toInteger(r.`:START_ID(Person)`)}), (m:Movie {id: toInteger(r.`:END_ID(Movie)`)})
CREATE (p)-[:PRODUCED]->(m);

Relationships between Person and Movie (Director of)

LOAD CSV WITH HEADERS FROM "file:///directed_rels.csv" AS r FIELDTERMINATOR ';'
MATCH (p:Person {id: toInteger(r.`:START_ID(Person)`)}), (m:Movie {id: toInteger(r.`:END_ID(Movie)`)})
CREATE (p)-[:DIRECTED]->(m);

Relationships between Person and Movie (Acted In)

LOAD CSV WITH HEADERS FROM "file:///acted_in_rels.csv" AS r FIELDTERMINATOR ';'
MATCH (p:Person {id: toInteger(r.`:START_ID(Person)`)}), (m:Movie {id: toInteger(r.`:END_ID(Movie)`)})
CREATE (p)-[:ACTED_IN{role:SPLIT(r.role, '/')}]->(m);

behind-the-buzzword / 3-graph-databases