fix: db properly support with_log_level

sqlmesh/core/engine_adapter/base.py

@@ -119,6 +119,7 @@ def __init__(
         register_comments: bool = True,
         pre_ping: bool = False,
         pretty_sql: bool = False,
+        skip_connection_post_init: bool = False,
         **kwargs: t.Any,
     ):
         self.dialect = dialect.lower() or self.DIALECT
@@ -132,6 +133,11 @@ def __init__(
         self._register_comments = register_comments
         self._pre_ping = pre_ping
         self._pretty_sql = pretty_sql
+        if not skip_connection_post_init:
+            self._connection_post_init()
+
+    def _connection_post_init(self) -> None:
+        pass
 
     def with_log_level(self, level: int) -> EngineAdapter:
         adapter = self.__class__(
@@ -141,10 +147,12 @@ def with_log_level(self, level: int) -> EngineAdapter:
             default_catalog=self._default_catalog,
             execute_log_level=level,
             register_comments=self._register_comments,
+            skip_connection_post_init=True,
             **self._extra_config,
         )
 
         adapter._connection_pool = self._connection_pool
+        adapter._connection_post_init()
 
         return adapter
 

sqlmesh/core/engine_adapter/databricks.py

@@ -48,9 +48,13 @@ class DatabricksEngineAdapter(SparkEngineAdapter):
         },
     )
 
-    def __init__(self, *args: t.Any, **kwargs: t.Any):
-        super().__init__(*args, **kwargs)
+    def __init__(self, *args: t.Any, **kwargs: t.Any) -> None:
+        super().__init__(*args, **{**kwargs, "skip_connection_post_init": True})
         self._set_spark_engine_adapter_if_needed()
+        if not kwargs.get("skip_connection_post_init"):
+            self._connection_post_init()
+
+    def _connection_post_init(self) -> None:
         # Set the default catalog for both connections to make sure they are aligned
         self.set_current_catalog(self.default_catalog)  # type: ignore
 
@@ -121,7 +125,8 @@ def _set_spark_engine_adapter_if_needed(self) -> None:
             DatabricksSession.builder.remote(**connect_kwargs).userAgent("sqlmesh").getOrCreate()
         )
         self._spark_engine_adapter = SparkEngineAdapter(
-            partial(connection, spark=spark, catalog=catalog)
+            partial(connection, spark=spark, catalog=catalog),
+            default_catalog=catalog,
         )
 
     @property
@@ -181,7 +186,7 @@ def _fetch_native_df(
         """Fetches a DataFrame that can be either Pandas or PySpark from the cursor"""
         if self.is_spark_session_connection:
             return super()._fetch_native_df(query, quote_identifiers=quote_identifiers)
-        if self._use_spark_session:
+        if self._spark_engine_adapter:
             return self._spark_engine_adapter._fetch_native_df(  # type: ignore
                 query, quote_identifiers=quote_identifiers
             )
@@ -211,6 +216,8 @@ def get_current_catalog(self) -> t.Optional[str]:
                 pyspark_catalog = self._spark_engine_adapter.get_current_catalog()
             except (Py4JError, SparkConnectGrpcException):
                 pass
+        elif self.is_spark_session_connection:
+            pyspark_catalog = self.connection.spark.catalog.currentCatalog()
         if not self.is_spark_session_connection:
             result = self.fetchone(exp.select(self.CURRENT_CATALOG_EXPRESSION))
             sql_connector_catalog = result[0] if result else None
@@ -221,20 +228,26 @@ def get_current_catalog(self) -> t.Optional[str]:
         return pyspark_catalog or sql_connector_catalog
 
     def set_current_catalog(self, catalog_name: str) -> None:
-        # Since Databricks splits commands across the Dataframe API and the SQL Connector
-        # (depending if databricks-connect is installed and a Dataframe is used) we need to ensure both
-        # are set to the same catalog since they maintain their default catalog separately
-        self.execute(exp.Use(this=exp.to_identifier(catalog_name), kind="CATALOG"))
-        if self._use_spark_session:
+        def _set_spark_session_current_catalog(spark: PySparkSession) -> None:
             from py4j.protocol import Py4JError
             from pyspark.errors.exceptions.connect import SparkConnectGrpcException
 
             try:
                 # Note: Spark 3.4+ Only API
-                self._spark_engine_adapter.set_current_catalog(catalog_name)  # type: ignore
+                spark.catalog.setCurrentCatalog(catalog_name)
             except (Py4JError, SparkConnectGrpcException):
                 pass
 
+        # Since Databricks splits commands across the Dataframe API and the SQL Connector
+        # (depending if databricks-connect is installed and a Dataframe is used) we need to ensure both
+        # are set to the same catalog since they maintain their default catalog separately
+        self.execute(exp.Use(this=exp.to_identifier(catalog_name), kind="CATALOG"))
+        if self.is_spark_session_connection:
+            _set_spark_session_current_catalog(self.connection.spark)
+
+        if self._spark_engine_adapter:
+            _set_spark_session_current_catalog(self._spark_engine_adapter.spark)
+
     def _get_data_objects(
         self, schema_name: SchemaName, object_names: t.Optional[t.Set[str]] = None
     ) -> t.List[DataObject]: