Spark Connect — Local Execution Against a Databricks Cluster

Databricks Connect (built on Apache Spark Connect) lets you run PySpark code locally while the actual computation happens on the remote Databricks cluster.

Benefits:

• Local IDE/Jupyter development with full Spark semantics
• No need to upload notebooks manually — scripts run in-place from your machine
• Enables autonomous loops (autoresearch, CI) that submit Spark jobs per iteration

How It Works

Local Machine (your IDE / script)
        │
        │  Spark Connect protocol (gRPC)
        ▼
Databricks Cluster (<DATABRICKS_CLUSTER_ID>)
        │