Here is the instance model you will be creating:
Each ACTED_IN relationship here has a different value for the role property.
Run this Cypher code to add the ACTED_IN and DIRECTED relationships to the graph:
MATCH (apollo:Movie {title: 'Apollo 13'})
MATCH (tom:Person {name: 'Tom Hanks'})
MATCH (meg:Person {name: 'Meg Ryan'})
MATCH (danny:Person {name: 'Danny DeVito'})
MATCH (sleep:Movie {title: 'Sleepless in Seattle'})
MATCH (hoffa:Movie {title: 'Hoffa'})
MATCH (jack:Person {name: 'Jack Nicholson'})
// create the relationships between nodes
MERGE (tom)-[:ACTED_IN {role: 'Jim Lovell'}]->(apollo)
MERGE (tom)-[:ACTED_IN {role: 'Sam Baldwin'}]->(sleep)
MERGE (meg)-[:ACTED_IN {role: 'Annie Reed'}]->(sleep)
MERGE (danny)-[:ACTED_IN {role: 'Bobby Ciaro'}]->(hoffa)
MERGE (danny)-[:DIRECTED]->(hoffa)
MERGE (jack)-[:ACTED_IN {role: 'Jimmy Hoffa'}]->(hoffa)
You can verify that the relationships have been created with this code:
MATCH (n) RETURN n
There should be a total of 6 relationships in the graph.
Validate Results
Once you have run the code to create the relationships, click the Check Database button and we will check the database for you.
Hint
The database is expecting six relationships between :Person
and :Movie
nodes as defined in the Cypher statement above.
Have you deleted any nodes from the database?
Try running the query again to re-create the data in the database.
If you are still having trouble, you can recreate the nodes by running the following Cypher statement:
MATCH (n) DETACH DELETE n;
MERGE (:Movie {title: 'Apollo 13', tmdbId: 568, released: '1995-06-30', imdbRating: 7.6, genres: ['Drama', 'Adventure', 'IMAX']})
MERGE (:Person {name: 'Tom Hanks', tmdbId: 31, born: '1956-07-09'})
MERGE (:Person {name: 'Meg Ryan', tmdbId: 5344, born: '1961-11-19'})
MERGE (:Person {name: 'Danny DeVito', tmdbId: 518, born: '1944-11-17'})
MERGE (:Movie {title: 'Sleepless in Seattle', tmdbId: 858, released: '1993-06-25', imdbRating: 6.8, genres: ['Comedy', 'Drama', 'Romance']})
MERGE (:Movie {title: 'Hoffa', tmdbId: 10410, released: '1992-12-25', imdbRating: 6.6, genres: ['Crime', 'Drama']})
MERGE (:Person {name: 'Jack Nicholson', tmdbId: 514, born: '1937-04-22'})
MERGE (:User {name: 'Sandy Jones', userId: 534})
MERGE (:User {name: 'Clinton Spencer', userId: 105})
Solution
To pass the challenge, run the following queries in sequence by clicking the Run in Sandbox.
MATCH (n) DETACH DELETE n;
MERGE (:Movie {title: 'Apollo 13', tmdbId: 568, released: '1995-06-30', imdbRating: 7.6, genres: ['Drama', 'Adventure', 'IMAX']})
MERGE (:Person {name: 'Tom Hanks', tmdbId: 31, born: '1956-07-09'})
MERGE (:Person {name: 'Meg Ryan', tmdbId: 5344, born: '1961-11-19'})
MERGE (:Person {name: 'Danny DeVito', tmdbId: 518, born: '1944-11-17'})
MERGE (:Movie {title: 'Sleepless in Seattle', tmdbId: 858, released: '1993-06-25', imdbRating: 6.8, genres: ['Comedy', 'Drama', 'Romance']})
MERGE (:Movie {title: 'Hoffa', tmdbId: 10410, released: '1992-12-25', imdbRating: 6.6, genres: ['Crime', 'Drama']})
MERGE (:Person {name: 'Jack Nicholson', tmdbId: 514, born: '1937-04-22'})
MERGE (:User {name: 'Sandy Jones', userId: 534})
MERGE (:User {name: 'Clinton Spencer', userId: 105})
MATCH (apollo:Movie {title: 'Apollo 13'})
MATCH (tom:Person {name: 'Tom Hanks'})
MATCH (meg:Person {name: 'Meg Ryan'})
MATCH (danny:Person {name: 'Danny DeVito'})
MATCH (sleep:Movie {title: 'Sleepless in Seattle'})
MATCH (hoffa:Movie {title: 'Hoffa'})
MATCH (jack:Person {name: 'Jack Nicholson'})
// create the relationships between nodes
MERGE (tom)-[:ACTED_IN {role: 'Jim Lovell'}]->(apollo)
MERGE (tom)-[:ACTED_IN {role: 'Sam Baldwin'}]->(sleep)
MERGE (meg)-[:ACTED_IN {role: 'Annie Reed'}]->(sleep)
MERGE (danny)-[:ACTED_IN {role: 'Bobby Ciaro'}]->(hoffa)
MERGE (danny)-[:DIRECTED]->(hoffa)
MERGE (jack)-[:ACTED_IN {role: 'Jimmy Hoffa'}]->(hoffa)
Summary
In this challenge, you created some of the initial relationships to support our instance model.
In the next challenge, you will model a new relationship in the graph data model.