Through this guide, you will learn how to index labels and properties in a graph database.
Make sure you have a running Memgraph instance. If you're not sure how to run Memgraph, check out the Memgraph Quick start.
Next, do all necessary imports and create an instance of the database:
from gqlalchemy import Memgraph, Node, Field
db = Memgraph()
You can also use this feature with Neo4j:
db = Neo4j(host="localhost", port="7687", username="neo4j", password="test")
After that, you can create two classes that represent:
class Animal(Node, index=True, db=db):
id: str = Field(index=True, db=db)
In the first class,
Animal, the class argument
index is set to
means that Memgraph will create a label index on the label
The other class,
Human, has a
index argument set to
Memgraph will create a label-property index on the property
id of every node
Indexes will be created only if the database argument
db is provided.
To learn more about indexing, check out the Under the hood documentation section.
Hopefully, this guide has taught you how to create indexes on labels and properties. If you have any more questions, join our community and ping us on Discord.