GraphAcademy
Course

Graph Type Schema Enforcement

Define and enforce a graph schema using graph types in Neo4j

40 minutes6 lessons across 1 module
CypherIntermediate
About this lab

In this 40-minute lab, you will learn

In this lab, you will define a graph type schema for the recommendations dataset — a graph of movies, actors, directors, users, genres, and ratings.

You will start by declaring node element types with typed properties, then layer on relationship types and constraints to enforce data quality at the database level. By the end, you will have a complete, enforceable schema that prevents invalid data from entering the graph.

Graph types use an open model: they constrain the elements you define while leaving everything else flexible. This means you can introduce schema enforcement incrementally, without locking down parts of the graph that are still evolving.

  • Node and relationship types

    Define node element types and relationship element types with typed properties to enforce your data model.

  • Constraints and validation

    Add `KEY`, `UNIQUE`, and `NOT NULL` constraints within graph types for data quality enforcement.

  • Managing graph types

    Extend, alter, inspect, and drop graph type elements to evolve your schema over time.

Course content

1 module, 40 minutes.

  1. 6 lessons
    1. What Are Graph Types?7 min
    2. Define Node Types5 min
    3. Constraints and Extending Graph Types5 min
    4. Extend the Graph Type3 min
    5. Managing Graph Types5 min
    6. Complete Recommendations Schema7 min
Further reading

Posts from the GraphAcademy blog.

5 min read

Cypher Best Practices: Map Projections, List Comprehensions, and COLLECT Subqueries

Three Cypher patterns that make queries cleaner, faster, and safer —map projections for shaped output, list comprehensions for inline transforms, and COLLECT subqueries for nested data without N+1.

Adam CowleyRead post