feat(snowflake): get_catalog_names

superset/db_engine_specs/bigquery.py

@@ -122,6 +122,8 @@ class BigQueryEngineSpec(BaseEngineSpec):  # pylint: disable=too-many-public-met
 
     allows_hidden_cc_in_orderby = True
 
+    supports_catalog = True
+
     """
     https://www.python.org/dev/peps/pep-0249/#arraysize
     raw_connections bypass the sqlalchemy-bigquery query execution context and deal with

superset/db_engine_specs/postgres.py

@@ -96,6 +96,7 @@ class PostgresBaseEngineSpec(BaseEngineSpec):
     engine_name = "PostgreSQL"
 
     supports_dynamic_schema = True
+    supports_catalog = True
 
     _time_grain_expressions = {
         None: "{col}",

superset/db_engine_specs/snowflake.py

@@ -29,6 +29,7 @@
 from flask_babel import gettext as __
 from marshmallow import fields, Schema
 from sqlalchemy import types
+from sqlalchemy.engine.reflection import Inspector
 from sqlalchemy.engine.url import URL
 from typing_extensions import TypedDict
 
@@ -84,6 +85,7 @@ class SnowflakeEngineSpec(PostgresBaseEngineSpec):
     sqlalchemy_uri_placeholder = "snowflake://"
 
     supports_dynamic_schema = True
+    supports_catalog = True
 
     _time_grain_expressions = {
         None: "{col}",
@@ -167,6 +169,24 @@ def get_schema_from_engine_params(
 
         return parse.unquote(database.split("/")[1])
 
+    @classmethod
+    def get_catalog_names(
+        cls,
+        database: "Database",
+        inspector: Inspector,
+    ) -> List[str]:
+        """
+        Return all catalogs.
+
+        In Snowflake, a catalog is called a "database".
+        """
+        return sorted(
+            catalog
+            for (catalog,) in inspector.bind.execute(
+                "SELECT DATABASE_NAME from information_schema.databases"
+            )
+        )
+
     @classmethod
     def epoch_to_dttm(cls) -> str:
         return "DATEADD(S, {col}, '1970-01-01')"