# Introduction to Cypher

Neo4jOpen Source NOSQL Graph Database um Neo4j
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### Introduction to Cypher

• 6. Toy Story Movie Nodes can be identified by one or more labels Nodes represent things
• 7. Toy Story Movie Animated Nodes can be identified by one or more labels Nodes represent things
• 8. Toy Story Movie Animated Nodes can be identified by one or more labels title: Toy Story released: 1995 Nodes represent things
• 9. Toy Story Movie Animated Nodes can be identified by one or more labels title: Toy Story released: 1995 Nodes represent things Nodes can hold properties as key/value pairs
• 15. Toy Story Movie Tom Hanks Actor Relationships connect two nodes ACTED_IN Relationships have a type
• 16. Toy Story Movie Tom Hanks Actor Relationships connect two nodes ACTED_IN Relationships have a type Relationships have a direction
• 17. Toy Story Movie Tom Hanks Actor Relationships connect two nodes ACTED_IN roles: Woody Relationships have a type Relationships have a direction
• 18. Toy Story Movie Tom Hanks Actor Relationships connect two nodes ACTED_IN roles: Woody Relationships have a type Relationships can also hold properties as key/value pairs Relationships have a direction
• 20. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows.
• 21. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows.
• 22. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person
• 23. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person (p:Person)-[r:ACTED_IN]->(m:Movie)
• 24. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person (p:Person)-[r:ACTED_IN]->(m:Movie)
• 25. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person (p:Person)-[r:ACTED_IN]->(m:Movie)
• 26. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person (p:Person)-[r:ACTED_IN]->(m:Movie)
• 27. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person (p:Person)-[r:ACTED_IN]->(m:Movie)
• 28. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person (p:Person)-[r:ACTED_IN]->(m:Movie)
• 29. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person (p:Person)-[r:ACTED_IN]->(m:Movie)
• 30. Cypher is a declarative language that allows you to identify patterns in your data using an ASCII- art style syntax consisting of brackets, dashes and arrows. Movie ACTED_IN Person (p:Person)-[r:ACTED_IN]->(m:Movie)
• 31. Writing to Neo4j // Create a pattern CREATE (:Person {name: "Tom Hanks"}) -[:ACTED_IN {roles: "Woody"}]-> (:Movie {title: "Toy Story"})
• 32. Writing to Neo4j // Find or create using MERGE MERGE (p:Person {name: "Tom Hanks"})
• 33. Writing to Neo4j // Find or create using MERGE MERGE (p:Person {name: "Tom Hanks"}) MERGE (m:Movie {title: "Toy Story"})
• 34. Writing to Neo4j // Find or create using MERGE MERGE (p:Person {name: "Tom Hanks"}) MERGE (m:Movie {title: "Toy Story"}) MERGE (p)-[r:ACTED_IN]->(m)
• 35. Writing to Neo4j // Find or create using MERGE MERGE (p:Person {name: "Tom Hanks"}) MERGE (m:Movie {title: "Toy Story"}) MERGE (p)-[r:ACTED_IN]->(m) SET r.roles = "Woody"
• 36. Reading from Neo4j // Find a pattern in the database MATCH (p:Person)-[r:ACTED_IN]->(m:Movie)
• 37. Reading from Neo4j // Find a pattern in the database MATCH (p:Person)-[r:ACTED_IN]->(m:Movie) // Filter on a node property WHERE m.title = "Toy Story"
• 38. // Find a pattern in the database MATCH (p:Person)-[r:ACTED_IN]->(m:Movie) // Filter on a node property WHERE m.title = "Toy Story" // Choose what to return RETURN p.name AS actor, r.roles AS roles Reading from Neo4j
• 39. // Find a pattern in the database SQL Equivalent MATCH (p:Person)-[r:ACTED_IN]->(m:Movie) FROM/JOIN // Filter on a node property WHERE m.title = "Toy Story" WHERE // Choose what to return RETURN p.name AS actor, r.roles AS roles SELECT Reading from Neo4j
• 40. // Actors who acted with Tom Hanks also acted in... MATCH (p:Person)-[r:ACTED_IN]->(m:Movie) <-[:ACTED_IN]-(p2)-[r2:ACTED_IN]->(m2:Movie) WHERE p.name = "Tom Hanks" // Return their name and a list of the movie titles RETURN p2.name AS actor, collect(m2.title) AS movies Reading from Neo4j
• 42. LOAD CSV WITH HEADERS FROM 'file:///stations.csv' AS row MERGE (s:Station {id: row.id}) SET s.name = row.name, s.zone = row.zone, s.location = point({ latitude: toFloat(row.latitude), longitude: toFloat(row.longitude) }) Going Underground
• 43. LOAD CSV WITH HEADERS FROM 'file:///lines.csv' AS row MERGE (l:Line {id: row.line}) SET l += row { .name, .colour, .stripe } Going Underground
• 44. Going Underground LOAD CSV WITH HEADERS FROM 'file:///stops.csv' AS row MATCH (s1:Station {id: row.station1}) MATCH (s2:Station {id: row.station2}) MATCH (l:Line {id: row.line}) CALL apoc.create.relationship( s1, toUpper(replace(l.name, ' ', '_')), {}, s2 ) YIELD rel
• 47. MATCH (start:Station {name: "Liverpool Street"}) MATCH (end:Station {name: "Kensington (Olympia)"}) MATCH path = allShortestPaths((start)-[*..99]-(end)) WHERE all(r in relationships(path) WHERE not r:`WATERLOO_&_CITY_LINE`) AND all(n in nodes(path) WHERE not r:Busy) RETURN path
• 48. ● Completely Free ● Hands-on Courses teaching Neo4j Fundamentals, Cypher, Drivers and Graph Data Science ● Curated Learning Paths catering for everyone from beginners to experts ● Free Certifications graphacademy.neo4j.com Learn more with

### Hinweis der Redaktion

1. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
2. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
3. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
4. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
5. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
6. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
7. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
8. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
9. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
10. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
11. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
12. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
13. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
14. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
15. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
16. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
17. Graphs essentially consist of nodes, and these nodes represent things, they represent entities. In this case it's a MacBook, it could be a product, a car, a location, it's something physical.We can identify these nodes with one or more labels.
18. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
19. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
20. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
21. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
22. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
23. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
24. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
25. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
26. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
27. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
28. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
29. And the way we query this structure of known term relationships is with a language called cypher. Cypher is a declarative query language that allows you to identify patterns in your data. In this case, a customer who is rated a product. We do that by drawing the patterns on screen using an ASCII-art style syntax.
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