🩹 Remove table_owner from text only cols

PR #1057 added several new column names to the `text_only_columns` arg
to the `table_from_rows` call in the `_catalog_filter_table` class
method. This method is called as part of the `dbt docs generate` task.

However, some of the new column names included are not included in
the list of columns returned by certain adapter implementations for the
`__get_catalog` and `__get_catalog_relations`.
For example, the relevant BigQuery and Athena macros do not return a
column named `table_owner` (see #1135).

This results in the agate type checker emitting a warning when
attempting typing checking runs.

Any columns added to the `text_only_columns` argument for the call to
`table_from_rows` in the base implementation should presumably be
columns that are returned by all adapters implementations.

Author: morgan-dgk

dbt-adapters/src/dbt/adapters/base/impl.py

@@ -1329,7 +1329,6 @@ def _catalog_filter_table(
                 "table_name",
                 "table_type",
                 "table_comment",
-                "table_owner",
                 "column_name",
                 "column_type",
                 "column_comment",

dbt-snowflake/src/dbt/adapters/snowflake/impl.py

@@ -120,8 +120,27 @@ def _catalog_filter_table(
     ) -> "agate.Table":
         # On snowflake, users can set QUOTED_IDENTIFIERS_IGNORE_CASE, so force
         # the column names to their lowercased forms.
+        from dbt_common.clients.agate_helper import table_from_rows
+        from dbt.adapters.base.impl import _catalog_filter_schemas
+
         lowered = table.rename(column_names=[c.lower() for c in table.column_names])
-        return super()._catalog_filter_table(lowered, used_schemas)
+
+        table = table_from_rows(
+            lowered.rows,
+            lowered.column_names,
+            text_only_columns=[
+                "table_database",
+                "table_schema",
+                "table_name",
+                "table_type",
+                "table_owner",
+                "table_comment",
+                "column_name",
+                "column_type",
+                "column_comment",
+            ],
+        )
+        return table.where(_catalog_filter_schemas(used_schemas))
 
     def _make_match_kwargs(self, database, schema, identifier):
         # if any path part is already quoted then consider same casing but without quotes