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![What is Cypher?
Graph
Pattern
Matching
(node)-[:RELATIONSHIP]->(node)
• What data we want, not
how
• Expressiveness](https://image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-17-2048.jpg)
![What is Cypher?
Graph
Pattern
Matching
(node {key: value})-[:RELATIONSHIP]->(node)
• What data we want, not
how
• Expressiveness](https://image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-18-2048.jpg)
![What is Cypher?
Graph
Pattern
Matching
(node {key: value})-[:RELATIONSHIP*..2]->(node)
• What data we want, not
how
• Expressiveness](https://image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-19-2048.jpg)
![What is Cypher?
Human
Readable
(node)-[:RELATIONSHIP]->(node)
• Focus on domain, not
database](https://image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-20-2048.jpg)
![What Breweries Near Me That My Friends
Also Like Have The Highest Rating?
• MATCH …
• (node)-[:RELATIONSHIP]->(node)
• Predicates
• Aggregations
• Ordering
• Graph vs tabular data](https://image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-39-2048.jpg)
![(you)-[:HAVE]->(?)
(?)<-[:ANSWERS]-(will)](https://image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-50-2048.jpg)
![What is Cypher?
Graph
Pattern
Matching
(node)-[:RELATIONSHIP]->(node)
• What data we want, not
how
• Expressiveness](https://crownmelresort.com/image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-17-2048.jpg)
![What is Cypher?
Graph
Pattern
Matching
(node {key: value})-[:RELATIONSHIP]->(node)
• What data we want, not
how
• Expressiveness](https://crownmelresort.com/image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-18-2048.jpg)
![What is Cypher?
Graph
Pattern
Matching
(node {key: value})-[:RELATIONSHIP*..2]->(node)
• What data we want, not
how
• Expressiveness](https://crownmelresort.com/image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-19-2048.jpg)
![What is Cypher?
Human
Readable
(node)-[:RELATIONSHIP]->(node)
• Focus on domain, not
database](https://crownmelresort.com/image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-20-2048.jpg)
![What Breweries Near Me That My Friends
Also Like Have The Highest Rating?
• MATCH …
• (node)-[:RELATIONSHIP]->(node)
• Predicates
• Aggregations
• Ordering
• Graph vs tabular data](https://crownmelresort.com/image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-39-2048.jpg)
![(you)-[:HAVE]->(?)
(?)<-[:ANSWERS]-(will)](https://crownmelresort.com/image.slidesharecdn.com/introtocypher-170810221549/75/Intro-to-Cypher-50-2048.jpg)
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Intro to Cypher
The document introduces Cypher, a declarative query language used for graph databases, specifically with Neo4j. It covers key concepts such as graph pattern matching, the labeled property graph model, and provides examples of querying graphs with user and business data. Additionally, it discusses extending Cypher with procedures and functions, and provides resources for further learning.
In this document
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Introduction to the presenter and Neo4j overview, emphasizing the agenda for the Cypher presentation.
Definition of Cypher as a declarative query language, focusing on graph pattern matching and its human-readable syntax.
Introduction to the Yelp data challenge and the relevant datasets like user.json, business.json, and review.json used in Neo4j.
Examples of graph querying techniques including predicate usage, aggregations, execution plans, and performance tuning.
Methods for extending Cypher with procedures and functions, highlighting the APOC library and examples like PageRank.
Additional resources for learning Cypher and Neo4j, such as reference cards, developer pages, and demo environments.
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Intro to Cypher
- 1. Intro to Cypher August2017William Lyon @lyonwj
- 2. William Lyon Developer RelationsEngineer @neo4j will@neo4j.com @lyonwj lyonwj.com
- 3. Agenda - IntroductionTo Cypher • Neo4j Overview • Cypher Overview • Hands On Intro To Cypher • Resources • Q&A
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- 15. What is Cypher? Declarative Query Language openCypher Graph Pattern Matching Bolt/ Drivers Human Readable
- 16. What is Cypher? Declarative Query Language •What data we want, not how
- 17. What is Cypher? Graph Pattern Matching (node)-[:RELATIONSHIP]->(node) •What data we want, not how • Expressiveness
- 18. What is Cypher? Graph Pattern Matching (node{key: value})-[:RELATIONSHIP]->(node) • What data we want, not how • Expressiveness
- 19. What is Cypher? Graph Pattern Matching (node{key: value})-[:RELATIONSHIP*..2]->(node) • What data we want, not how • Expressiveness
- 20. What is Cypher? Human Readable (node)-[:RELATIONSHIP]->(node) •Focus on domain, not database
- 21. What is Cypher? openCypher •Open standard for graph querying http://www.opencypher.org/
- 22. What is Cypher? Bolt/ Drivers • Binary protocol for Neo4j
- 23. What is Cypher? Bolt/ Drivers • Language Drivers
- 24. What is Cypher? Bolt/ Drivers
- 25. What is Cypher? Bolt/ Drivers
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- 29. Yelp Data ChallengeIn Neo4j https://github.com/johnymontana/neo4j-datasets/tree/master/yelp “Working With A Real-World Dataset In Neo4j” https://youtu.be/oXziS-PPIUA
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- 33. The Data user.json business.jsonreview.json
- 34. Our Data Model http://www.apcjones.com/arrows/# •Identify “entities” • What properties are relevant? • Identify unique ids • Find connections • Repeat
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- 37. What Breweries NearMe That My Friends Also Like Have The Highest Rating?
- 38. What Breweries NearMe That My Friends Also Like Have The Highest Rating?
- 39. What Breweries NearMe That My Friends Also Like Have The Highest Rating? • MATCH … • (node)-[:RELATIONSHIP]->(node) • Predicates • Aggregations • Ordering • Graph vs tabular data
- 40. PROFILE / EXPLAIN •Query execution plan • Declarative vs imperative • Performance tuning
- 41. CREATE INDEX … •Indexes are only used to find the starting point for queries. Use index scans to look up rows in tables and join them with rows from other tables Use indexes to find the starting points for a query. Relational Graph
- 42.
- 43. Extending Cypher -Procedures and Functions • Code deployed to database • Callable from Cypher • APOC library • data import • graph algorithms • periodic iterate • MUCH more… • Neo4j Spatial • Neo4j-GraphQL
- 44. Extending Cypher -Procedures and Functions • PageRank - friend with highest PageRank?
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