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WeAreDevelopers LIVE • Sep 30, 2021

Putting the Graph In GraphQL With The Neo4j GraphQL Library

William Lyon

Ditch boilerplate resolvers and eliminate n+1 query bottlenecks forever. The Neo4j GraphQL Library automatically translates your schema into a high-performance CRUD API.

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#1 about 6 min

Introduction to graph databases and Cypher

How Neo4j uses the property graph data model and Cypher query language to manage connected relationships.

#2 about 7 min

Querying graph data using Neo4j Browser

Writing declarative Cypher queries to traverse data and extract insights for collaborative filtering systems.

#3 about 5 min

Overview of the GraphQL API query language

Utilizing GraphQL introspection and selection sets to query precisely what client applications need over the wire.

#4 about 3 min

Comparing Neo4j and GraphQL conceptual models

Why combining a Neo4j database with GraphQL provides a type-safe and unified graph model for dynamic deployments.

#5 about 8 min

Comparing syntax for Cypher and GraphQL operations

Evaluating how Cypher natively handles complex database operations while GraphQL excels at traversing explicitly mapped data structures.

#6 about 5 min

Approaches to building a GraphQL API layer

Understanding how schema definition languages, resolving logic, and networking configuration connect datasets to frontends.

#7 about 2 min

Exploring the n+1 query problem with naive resolvers

How basic iteration loops inside standard GraphQL setups inadvertently multiply queries and stall operational performance.

#8 about 3 min

Generating APIs with the Neo4j GraphQL library

Translating deeply nested GraphQL operations into single-pass Cypher commands to automatically spin up highly optimized CRUD interfaces.

#9 about 4 min

Hands-on demo of the Neo4j GraphQL library

Configuring a Node.js server that binds custom schema directives to dynamic Cypher execution plans directly within GraphQL fields.

#10 about 2 min

Learning resources for full stack GraphQL development

Key educational paths including practical streaming content, interactive documentation bases, and self-guided courses for graph developers.

#11 about 7 min

Audience questions on database architecture and security

Strategies for supplementing relational databases with graphs and parsing JWT authorizations seamlessly inside generated resolvers.

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