Hi @fly_high_five,

I found these references about this situation, see if they help you: increase the SocketTimeout in JDBC (Databricks KB “Best practices when using JDBC with Databricks SQL” – https://kb.databricks.com/dbsql/job-timeout-when-connecting-to-a-sql-endpoint-over-jdbc
) and replace fetchall() with fetchmany() while adjusting cursor.arraysize (Databricks SQL Connector for Python docs – https://docs.databricks.com/en/dev-tools/python-sql-connector.html
).