The World Cup Graph 2018
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The document discusses the World Cup 2018 graph database, providing instructions on accessing, importing, and querying data related to the tournament, including match details, teams, and scoring. It highlights the use of Cypher and GraphQL for executing queries and offers resources for manual mapping and schema setup. Additionally, it mentions the hosting and login details for the Neo4j database that contains the relevant data.
![Importing the data
LOAD CSV WITH HEADERS FROM "file:///matches.csv" AS csvLine
WITH csvLine, toInt(csvLine.match_number) AS matchNumber
MERGE (match:Match {id: csvLine.id})
SET match.h_score = csvLine.h_score, match.a_score = csvLine.a_score,
match.attendance = csvLine.attendance, match.date = csvLine.date,
match.description = csvLine.home + " vs. " + csvLine.away, match.number = toInt(matchNumber)
MERGE (home:Country {name: csvLine.home})
MERGE (match)-[:HOME_TEAM]->(home)
MERGE (match)<-[:PLAYED_IN]-(home)
MERGE (away:Country {name: csvLine.away})
MERGE (match)-[:AWAY_TEAM]->(away)
MERGE (match)<-[:PLAYED_IN]-(away)
MERGE (worldCup:WorldCup {name: csvLine.world_cup}) ON CREATE SET worldCup.year = toInt(csvLine.year)
MERGE (match)<-[:CONTAINS_MATCH]-(worldCup)](https://image.slidesharecdn.com/june2018worldcup20181-180629125613/85/The-World-Cup-Graph-2018-16-320.jpg)
![GraphQL is a query language for your API, and a
server-side runtime for executing queries by using a
type system you define for your data.
What is it?
type Planet {
name: String
climate: String
}
type Character {
name: String
friends: [Character]
homeWorld: Planet
species: Species
}
type Species {
name: String
lifespan: Int
origin: Planet
}](https://image.slidesharecdn.com/june2018worldcup20181-180629125613/85/The-World-Cup-Graph-2018-24-320.jpg)
![type Match {
id: Int!
description: String
homeScore: Int
awayScore: Int
homeTeam: Country @relation(name: "HOME_TEAM", direction: "OUT")
awayTeam: Country @relation(name: "AWAY_TEAM", direction: "OUT")
}
type WorldCup {
year: Int!,
name: String,
host: [Country] @relation(name: "HOSTED_BY", direction: "OUT")
}
type Country {
id: ID!
code: String
name: String
hostedWorldCups: [WorldCup] @relation(name: "HOSTED_BY", direction: "IN")
}
type Query {
matches(id: Int, description: String, first: Int = 10, offset: Int = 0): [Match]
}
bit.ly/worldcup-graphql-schema
bit.ly/worldcup-graphql-full-schema](https://image.slidesharecdn.com/june2018worldcup20181-180629125613/85/The-World-Cup-Graph-2018-30-320.jpg)
![$ now
> https://worldcup-grand-stack-risnfdqvrb.now.sh [in clipboard] [5s]
> Synced 1 file (21.2KB) [5s]
> Deployment complete!
Deploying a GraphQL Server](https://image.slidesharecdn.com/june2018worldcup20181-180629125613/85/The-World-Cup-Graph-2018-32-320.jpg)
The World Cup Graph 2018
- 1. The World Cup 2018 Graph Jesús Barrasa Mark Needham
- 3. • The World Cup Graph • Querying with Cypher • The GraphQL API • Neo4j Bloom Agenda
- 5. World Cup?
- 6. World Cup!
- 7. World Cup Graph Model
- 8. Host c27d992b.databases.neo4j.io User worldcup Password worldcup Once you’ve logged in run :play worldcup-2018-queries tl;dr - just let me play with the data!
- 9. What does this database contain?
- 10. All matches, squads, appearances, goals
- 11. Updated every 5 minutes during matches updates
- 12. How did we get the data?
- 14. LOAD CSV WITH HEADERS FROM "file:///matches.csv" AS csvLine MERGE (match:Match {id: csvLine.id}) SET match.h_score = csvLine.h_score, match.a_score = csvLine.a_score ... Building the graph
- 16. Importing the data LOAD CSV WITH HEADERS FROM "file:///matches.csv" AS csvLine WITH csvLine, toInt(csvLine.match_number) AS matchNumber MERGE (match:Match {id: csvLine.id}) SET match.h_score = csvLine.h_score, match.a_score = csvLine.a_score, match.attendance = csvLine.attendance, match.date = csvLine.date, match.description = csvLine.home + " vs. " + csvLine.away, match.number = toInt(matchNumber) MERGE (home:Country {name: csvLine.home}) MERGE (match)-[:HOME_TEAM]->(home) MERGE (match)<-[:PLAYED_IN]-(home) MERGE (away:Country {name: csvLine.away}) MERGE (match)-[:AWAY_TEAM]->(away) MERGE (match)<-[:PLAYED_IN]-(away) MERGE (worldCup:WorldCup {name: csvLine.world_cup}) ON CREATE SET worldCup.year = toInt(csvLine.year) MERGE (match)<-[:CONTAINS_MATCH]-(worldCup)
- 17. Host c27d992b.databases.neo4j.io User worldcup Password worldcup Once you’ve logged in run :play worldcup-2018-queries Let's run some queries
- 18. I want to query this dataset and I don't know Cypher
- 20. GraphQL
- 21. GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. What is it?
- 22. GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. What is it?
- 23. GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. What is it?
- 24. GraphQL is a query language for your API, and a server-side runtime for executing queries by using a type system you define for your data. What is it? type Planet { name: String climate: String } type Character { name: String friends: [Character] homeWorld: Planet species: Species } type Species { name: String lifespan: Int origin: Planet }
- 30. type Match { id: Int! description: String homeScore: Int awayScore: Int homeTeam: Country @relation(name: "HOME_TEAM", direction: "OUT") awayTeam: Country @relation(name: "AWAY_TEAM", direction: "OUT") } type WorldCup { year: Int!, name: String, host: [Country] @relation(name: "HOSTED_BY", direction: "OUT") } type Country { id: ID! code: String name: String hostedWorldCups: [WorldCup] @relation(name: "HOSTED_BY", direction: "IN") } type Query { matches(id: Int, description: String, first: Int = 10, offset: Int = 0): [Match] } bit.ly/worldcup-graphql-schema bit.ly/worldcup-graphql-full-schema
- 32. $ now > https://worldcup-grand-stack-risnfdqvrb.now.sh [in clipboard] [5s] > Synced 1 file (21.2KB) [5s] > Deployment complete! Deploying a GraphQL Server
- 34. I want to query this dataset and I don't know GraphQL
- 35. Neo4j Bloom
- 38. Let's take a look...
- 39. Thank you for listening! Host c27d992b.databases.neo4j.io User worldcup Password worldcup