![]() Because the client application is decoupled from the cluster, it is unaffected by cluster restarts or upgrades, which would normally cause you to lose all the variables, RDDs, and DataFrame objects defined in a notebook.įor Databricks Runtime 13.0 and higher, Databricks Connect is now built on open-source Spark Connect. Shut down idle clusters without losing work. You do not need to restart the cluster after changing Python library dependencies in Databricks Connect, because each client session is isolated from each other in the cluster. Iterate quickly when developing libraries. Step through and debug code in your IDE even when working with a remote cluster. Databricks Connect for Databricks Runtime 13.0 and higher currently supports running only Python applications.
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