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Import Movie Database from CSV
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| call apoc.periodic.iterate( | |
| "call apoc.load.csv('movies2.csv', { mapping:{ | |
| movieId : { type: 'int' }, | |
| releaseYear: { type: 'int' }, | |
| personId: { type: 'int' }, | |
| birthYear: { type: 'int' }, | |
| deathYear: { type: 'int' } | |
| } | |
| }) yield map return map", | |
| "merge (m:Movie {id: map.movieId}) set m.title = map.title, m.avgVote = map.avgVote, m.tagline = map.tagline | |
| foreach (genre in apoc.text.split(map.genres, ':') | | |
| merge (g:Genre {name: genre}) | |
| merge (m)-[:GENRE]->(g)) | |
| merge (p:Person {id: map.personId}) | |
| SET p.name = map.name, | |
| p.birthYear = map.birthYear, | |
| p.deathYear = map.deathYear | |
| WITH map, m, p | |
| call apoc.do.case([ | |
| map.personType = 'ACTOR', 'with p, m, apoc.text.split(map.characters, \":\") as charcts | |
| merge (p)-[a:ACTED_IN {roles: charcts}]->(m) return a', | |
| map.personType = 'DIRECTOR', 'merge (p)-[d:DIRECTED]->(m) return d' | |
| ],'', {map:map, m:m, p:p}) yield value | |
| match (n:Person { deathYear : 0 }) remove n.deathYear", | |
| {batchSize:500, parallel:false}) |
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