neo4j-streams | Neo4j Kafka Integrations , Docs = > | Change Data Capture library

We want to use Neo4J to build a hierarchy (tree-structure) of (product) categories. Our data enters from a Kafka (Sink Connector). We plan to use Neo4J Streams Source to live stream the updates on our category-tree back onto Kafka, using neo4j-4.0.3.

Normally, the - Streams Source - way to go is to specify a pattern and link it to a Kafka topic, as explained here: https://neo4j.com/docs/labs/neo4j-streams/current/#neo4j_streams_source

In order to leverage the power of Neo4J we'd like to send a collection of nodes each time at once. This collection consists of all the nodes on a - query that returns a - path: nodes(path). More specifically, such a collection of nodes represents a path from leaf to root.

Two non-working alternatives we could think of:

1. Use a pattern definition. From what I understand a pattern seems to be limited to match a single node only (possibly a node with multiple Labels) - https://neo4j.com/docs/labs/neo4j-streams/current/#source-patterns - and hence we can only stream out one node at a time.
2. Stream the collection of nodes (on the path) back into a node with a different label, and use that output node label to pattern match {*}. Neo4J being a property oriented graph database, it does not allow me to write 'a collection of nodes' into one node.

To summarize, what we want is to stream out a collection of nodes into each Kafka record. Any suggestions on how we can achieve this?