text: It is broken into 3 parts: installation and setup, connecting to Databricks, and examples.Installation and Setupâ€‹pip install databricks-sql-connectorConnecting to Databricksâ€‹You can connect to Databricks runtimes and Databricks SQL using the SQLDatabase.from_databricks() method.Syntaxâ€‹SQLDatabase.from_databricks(    catalog: str,    schema: str,    host: Optional[str] = None,    api_token: Optional[str] = None,    warehouse_id: Optional[str] = None,    cluster_id: Optional[str] = None,    engine_args: Optional[dict] = None,    **kwargs: Any)Required Parametersâ€‹catalog: The catalog name in the Databricks database.schema: The schema name in the catalog.Optional Parametersâ€‹There following parameters are optional. When executing the method in a Databricks notebook, you don't need to provide them in most of the cases.host: The Databricks workspace hostname, excluding 'https://' part. Defaults to 'DATABRICKS_HOST' environment variable or current workspace if in a Databricks notebook.api_token: The Databricks personal access token for accessing the Databricks SQL warehouse or the cluster. Defaults to 'DATABRICKS_TOKEN' environment variable or a temporary one is generated if in a Databricks notebook.warehouse_id: The warehouse ID in the Databricks SQL.cluster_id: The cluster ID in the Databricks Runtime. If running in a Databricks notebook and both 'warehouse_id' and 'cluster_id' are None, it uses the ID of the cluster the notebook is attached to.engine_args: The arguments to be used when connecting Databricks.**kwargs: Additional keyword arguments for the SQLDatabase.from_uri