SlideShare une entreprise Scribd logo
1  sur  29
neo4j.com/developer
Property Graph Model
CAR
name: “Dan”
born: May 29, 1970
twitter: “@dan”
name: “Ann”
born: Dec 5, 1975
since:
Jan 10, 2011
brand: “Volvo”
model: “V70”
LOVES
LOVES
LIVES WITH
PERSON PERSON
Whiteboard Model Is the Physical Model
Cypher: Powerful & Expressive Graph Query Language
MATCH (:Person { name:“Dan”} ) -[:LOVES]-> (:Person { name:“Ann”} )
LOVES
Dan Ann
LABEL PROPERTY
NODE NODE
LABEL PROPERTY
Use Neo4j like a regular
backing database
https://launchpad.graphql.com/3wzp7qnjv
Or ... turn Neo4j into
a native GraphQL backend
1. take GraphQL query
2. transform to Cypher
3. execute against graph
4. return results
Based on ... what?
Schema!
Which schema?
Neo4j is schema-free, so:
[x] Use GraphQL Schema
Neo4j is
open source
& extensible
Let‘s build an extension
How hard can it be?
Transform + project
Query / Results
Thank you!
Introducing:
neo4j-graphql
What‘s in the box?
Basics
Endpoint with basic auth
host:port/graphql
POST schema file
run queries with params
project results
Cool Features
generate & run single graph query
auto generated mutations for types
first, offset, orderBy, @relation
lookup by any field
fragments, unlimited nesting
Power Up: @cypher
computed fields
custom mutations & queries
parameter support
Cool!
How can I use it?
npm install -g neo4j-graphql-cli
neo4j-graphql [my.schema]
movies.schema
add superpower
type Actor {
totalMovies:Int @cypher(statement:
"RETURN size( (this)-[:ACTED_IN]->(:Movie) ) as total")
...
type Movie {
similar:[Movie] @cypher(statement:
"MATCH (this)-->(:Genre)<--(o:Movie) RETURN o LIMIT 10")
...
type QueryType {
topRatedMovies(score:Int) [Movie] @cypher(statement:
"MATCH (m:Movie)<-[r:RATED]-(:User) WHERE r.score > $score
RETURN m, avg(r.score) as score
ORDER BY score DESC LIMIT 10")
github.com/neo4j-graphql
graphql.communitygraph.org

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Querying Graphs with GraphQL

Notes de l'éditeur

  1. When we combine GraphQL
  2. Neo4j, an open source graph database.
  3. which has a graph as its core data model Nodes The objects in the graph Can have name-value properties Can be labeled Relationships Relate nodes by type and direction Can have name-value properties
  4. Where the database model is what is in your application and on your whiteboards
  5. With its own powerful graph query language: Cypher
  6. Neo4j and GraphQL, how would that work?
  7. Actually it was not that hard, b/c the underlying data model was a great fit, as is the graph schema. And we had a bit of a head start due to Rod Johnson asking me to look into GraphQL + Neo4j some time last year.
  8. Query transformation, language handling is easy. It runs on the JVM like Neo4j does.
  9. computed fields e.g. for related, content,recommendations etc.
  10. computed fields e.g. for related, content,recommendations etc.
  11. computed fields e.g. for related, content,recommendations etc.
  12. computed fields e.g. for related, content,recommendations etc.
  13. computed fields e.g. for related, content,recommendations etc.
  14. Easy
  15. Easy
  16. computed fields e.g. for related, content,recommendations etc.
  17. computed fields e.g. for related, content,recommendations etc.