What the Graph?

Neo4j and Spring Data Neo4j presentation given at #springio_19

Transcript

1. Gerrit Meier @meistermeier What the Graph?
2. Neo4j
4. Ecosystem Neo4j Professional Services 300+ partners 47,000 group members 61,000 trained engineers 3.5M downloads Mindset “Graph Thinking” is all about considering connections in data as important as the data itself. Native Graph Platform Neo4j is an internet-scale, native graph database which executes connected workloads faster than any other database management system. Neo4j
5. Graph Databases
6. Graph Databases Hero
7. Graph Databases Label Type
8. Graph Databases Person KNOWS {
 name: “Mr. X” dob: 26.02.1982
 } {
 met: “Spring IO” contact: 16.05.2019
 }
9. Graph Databases Person KNOWS Person Topic INTERESTED_IN INTERESTED_IN {
 term: “Spring Data” description: “ … “
 }
10. Data Access
11. Cypher Cypher Query Language is to Neo4j what 
 SQL is for relational databases. Open Source http://www.opencypher.org/ and ready for other Graph Database technology.
12. Cypher :Person :KNOWS :Person :Topic :INTERESTED_IN :INTERESTED_IN
13. Cypher Person KNOWS Person Topic INTERESTED_IN INTERESTED_IN MATCH 
 (person:Person)-[:INTERESTED_IN]"->(t:Topic)"<-[:INTERESTED_IN]-(otherPerson:Person) WHERE 
 (person)-[:KNOWS]-(otherPerson)
 RETURN
 otherPerson
14. Connect to Neo4j •Bolt - Binary protocol •HTTP - First remote access, no library needed •Embedded - Running Neo4j in the same JVM
15. Bolt drivers •Languages - Java, Python, JavaScript, C#, Go •Seabolt - connector written in C •Community drivers - R, Rust, Elixir…
16. Neo4j-OGM Java Driver Neo4j-OGM Embedded Bolt HTTP
17. Neo4j-OGM •Annotations - Describe your Graph •Configuration - Driver, Domain packages,… •Mapping - Java Object Graph <> Graph Model •Basic Data Access - CRUD operations built-in
18. Neo4j-OGM :Person :Topic :INTERESTED_IN
19. Neo4j-OGM :Topic :INTERESTED_IN @NodeEntity public class Person { @Id @GeneratedValue private Long id; @Property private String name; @Relationship(type = “INTERESTED_IN") private Set<Topic> topic; }
20. Neo4j-OGM :INTERESTED_IN @NodeEntity public class Topic { @Id @GeneratedValue private Long id; private String term; private String description; } :Person
21. Neo4j-OGM :Person :Topic :INTERESTED_IN Session session = sessionFactory.openSession(); Person person = new Person(“Mr. X”); person.addTopic(new Topic(“Spring”)); session.save(person);
22. Neo4j-OGM :Person :Topic :INTERESTED_IN Person person = session.load(Person.class, personId); Collection<Person> people = session.loadAll(Person.class);
23. Neo4j-OGM :Person :Topic :INTERESTED_IN Person person = session.queryForObject(Person.class,
 "MATCH (p:Person) where p.name = ${name} return p",
 singletonMap("name", “Mr. X”) );
24. Spring Data Neo4j
25. Spring Data Neo4j •Convenient Data Access - Spring Data’s Domain-Driver-Design way •Derived Finder Methods - no Cypher needed •Abstraction from Cypher - if wanted •Specialisation for Graph Operations - graph-ish way to work with data
26. Spring Data Neo4j •CRUD Methods - save, findById, delete, count… •Graph specific - depth as “second” parameter interface PersonRepository extends Neo4jRepository<Person, Long> {}
27. Spring Data Neo4j interface PersonRepository extends Neo4jRepository<Person, Long> { Person findByName(String name); }
28. Spring Data Neo4j interface PersonRepository extends Neo4jRepository<Person, Long> { Person findByName(String name); } MATCH 
 (person:Person)-[int:INTERESTED_IN]"->(topic:Topic) WHERE 
 person.name=$name 
 RETURN
 person, int, topic
29. Spring Data Neo4j interface PersonRepository extends Neo4jRepository<Person, Long> { @Query("MATCH (p:Person)-[:INTERESTED_IN]->(t:Topic) WHERE t.term={0} return p”) List<Person> customFindByInterest(String interest); }
30. Spring Data Neo4j 5.x (Lovelace/Moore) •Spring Boot 2.x only •Schema-based Loading •Persistence Constructor
31. The Don’ts
32. The Don’ts •Complex Custom Cypher •Batch Operations •Domain Model does not represent the Graph •Unwrapping the Session / Driver all the time
33. Getting started
34. Import •LOAD CSV - File, HTTP(S) or FTP •APOC - Support for JSON, JDBC… •ETL Tool - Import and map data from SQL source WITH “jdbc:mysql://database” AS url CALL apoc.load.jdbc(url) YIELD value UNWIND value.items AS item MERGE (:Item {title=item.title} LOAD CSV WITH HEADERS 
 FROM “file:paradise.csv” AS row CREATE 
 (:Officer {name: row.n.name, country: row.n.country,…
35. Sandbox
36. Thanks
37. Spring Data Neo4j ⚡ RX* *working title
38. SDN⚡RX •Complete rewrite of Spring Data Neo4j & Neo4j-OGM •(not only) Reactive Support •(Reactive)Neo4jClient •Cypher DSL •real Immutable Mapping •new Spring Boot Autoconfiguration
39. SDN⚡RX Node personNode = node("Person"); Statement statement = match(personNode) .where(personNode.property("name").isEqualTo(literalOf("Mr.X"))) .returning(personNode) .build();
40. SDN⚡RX Node personNode = node("Person"); Statement statement = match(personNode) .where(personNode.property("name").isEqualTo(literalOf("Mr.X"))) .returning(personNode) .build(); ReactiveNeo4jClient client = ReactiveNeo4jClient.create(driver); Flux<Person> people = client .newQuery(renderer.render(statement)) .fetchAs(Person.class) .mappedBy(record !-> {!/*!..!*/}) !// optional mapping .all() .subscribe(person !-> {!/*!..!*/});
41. SDN⚡RX public class Person { @Id private final Long id; private final String name; private Person(Long id, String name) { this.id = id; this.name = name; } public Person withId(Long newId) { return new Person(newId, this.name); } public Person withName(String newName) { return new Person(this.id, newName); } } @AllArgsConstructor public class PersonWithAllConstructor { @Id private final Long id; private final String name; private final String firstName; private final String sameValue; private final Boolean cool; private final Long personNumber; private final LocalDate bornOn; }
42. SDN⚡RX @Node data class KotlinPerson(@Id val id: Long, val name: String)
43. Links •Neo4j Desktop - https://neo4j.com/download •Neo4j Sandbox - https://neo4j.com/sandbox-v2/ •This Talk - https://speakerdeck.com/meistermeier •Free Graph Algorithms book - https://neo4j.com/graph-algorithms-book
44. Gerrit Meier @meistermeier Thanks!