Here is a step-by-step guide of how to setup Neo4j Connector for Apache Spark on Azure Databricks.

 

1. Click Create to create an Azure Databricks Workspace

2. Create "demo1" workspace 

3. Launch the Workspace

4. Create a Cluster

5. Install new libraries. The Neo4j Spark connector Git repository can be found here: https://github.com/neo4j-contrib/neo4j-spark-connector

6. Configure notebook reading from Aura instance (you need to right-click)

 

7. Reading from Aura:

df = spark.read.format("org.neo4j.spark.DataSource")\
.option("url", "neo4j+s://<dbid>.databases.neo4j.io")\
.option("authentication.type", "basic")\
.option("authentication.basic.username", "neo4j")\
.option("authentication.basic.password", "password")\
.option("labels", "Person")\
.load()
display(df)