Neo4j Connector for Apache Spark

The Neo4j Connector for Apache Spark is intended to make integrating graphs with Spark easy. There are two ways to use the connector:

  • As a data source: read any set of nodes or relationships as a DataFrame in Spark

  • As a sink: write any DataFrame to Neo4j as a collection of nodes or relationships, or use a Cypher statement to process records contained in a DataFrame into the graph pattern of your choice

Connecting to AuraDS only requires to make a few changes to the Neo4j driver configuration:

  1. Replace the bolt URI (the value of the neo4j.server.uri configuration parameter) with the neo4j+s:// connection URI from the AuraDS instance detail page

  2. Update the username and password configuration parameters as appropriate

For more information check the Neo4j Apache Spark Connector page.