)
        if catalog is not None:
            self._spark.catalog.setCurrentCatalog(catalog)
        if schema is not None:
            self._spark.catalog.setCurrentDatabase(schema)
        self._all_tables = set(self._get_all_table_names())
        self._include_tables = set(include_tables) if include_tables else set()
        if self._include_tables:
            missing_tables = self._include_tables - self._all_tables
            if missing_tables:
                raise ValueError(
                    f"include_tables {missing_tables} not found in database"
                )
        self._ignore_tables = set(ignore_tables) if ignore_tables else set()
        if self._ignore_tables:
            missing_tables = self._ignore_tables - self._all_tables
            if missing_tables:
                raise ValueError(
                    f"ignore_tables {missing_tables} not found in database"
                )
        usable_tables = self.get_usable_table_names()
        self._usable_tables = set(usable_tables) if usable_tables else self._all_tables
        if not isinstance(sample_rows_in_table_info, int):
            raise TypeError("sample_rows_in_table_info must be an integer")
        self._sample_rows_in_table_info = sample_rows_in_table_info
[docs]    @classmethod
    def from_uri(
        cls, database_uri: str, engine_args: Optional[dict] = None, **kwargs: Any
    ) -> SparkSQL:
        """Creating a remote Spark Session via Spark connect.
        For example: SparkSQL.from_uri("sc://localhost:15002")
        """
        try:
            from pyspark.sql import SparkSession
        except ImportError:
            raise ValueError(
                "pyspark is not installed. Please install it with `pip install pyspark`"
            )