This article covers Databricks Connect for Databricks Runtime 13.3 LTS and above.
Databricks Connect for Scala is in Public Preview.
This article lists limitations with Databricks Connect for Scala. Databricks Connect enables you to connect popular IDEs, notebook servers, and custom applications to Databricks clusters. See What is Databricks Connect?. For the Python version of this article, see Limitations with Databricks Connect for Python.
Not available on Databricks Connect for Databricks Runtime 13.3 LTS and below:
Creating DataFrames larger than 128 MB
Long queries over 3600 seconds
Scalar UDFs on clusters that use Single user cluster access mode
MLflow model inference:
CREATE TABLE <table-name> AS SELECT(instead, use
Changing the log4j log level through
Distributed ML training
Synchronizing the local development environment with the remote cluster