Graph databases like Neo4j model data as nodes and relationships, which can be queried using the declarative Cypher language.
A practical demonstration shows how to write Cypher queries to find nodes, traverse relationships, and implement business logic like recommendations.
GraphQL provides a typed API layer that allows clients to request exactly the data they need through introspection and a flexible selection set.
Cypher is a powerful database query language with graph-specific functions, while GraphQL is an API layer for defining data shapes and traversals.
Building GraphQL APIs involves writing resolver functions for data fetching, which can lead to the N+1 query problem and inefficient database access.
The Neo4j GraphQL library automatically generates a full CRUD API from type definitions, translating GraphQL requests into a single Cypher query to avoid the N+1 problem.
A code demonstration shows how to use schema directives to define custom logic and watch the library translate a nested GraphQL query into a single, efficient Cypher query.
A summary of available resources for further learning, including the official library documentation, online courses, books, and livestreams.
The speaker answers audience questions about integrating graph databases with relational systems, adding custom resolvers, and securing APIs with JSON Web Tokens.
46:47Ruwan Xaviour Fernando
34:28Uri Goldshtein
28:12Gregor Bauer
41:06David Leitner
40:45Josh Goldberg
36:58Simone Sanfratello
28:16Alexis Yushin
47:16Maxime Beugnet
Jobs that call for the skills explored in this talk.
Atolls
Atolls
Peter Park System GmbH
München, Germany
doinstruct Software GmbH
Berlin, Germany
