Graph Type Schema Enforcement
Define and enforce a graph schema using graph types in Neo4j
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 Full definition for node (opens in a new tab)A vertex in a graph. In a property graph it can carry labels and properties. element types with typed Full definition for property (opens in a new tab)A named value stored on a node or a relationship., then layer on Full definition for relationship (opens in a new tab)A named, directed connection between two nodes. Every relationship has a type, a start node and an end node. types and Full definition for constraint (opens in a new tab)A rule the database enforces on every node or relationship with a given label or type, rejecting any write that breaks it. 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` and `UNIQUE` constraints and typed, mandatory properties within graph types for data quality enforcement.
Managing graph types
Extend, alter, inspect, and drop graph type elements to evolve your schema over time.
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