Use stats for date shards; always quote in catalog query

core/dbt/task/generate.py

@@ -74,7 +74,6 @@ class TableMetadata(JsonSchemaMixin):
  name: str
  comment: Optional[str]
  owner: Optional[str]
- shards: Optional[str]
 
 
 @dataclass

plugins/bigquery/dbt/adapters/bigquery/impl.py

@@ -1,5 +1,3 @@
-import copy
-
 import dbt.deprecations
 import dbt.exceptions
 import dbt.flags as flags
@@ -393,19 +391,20 @@ def get_catalog(self, manifest):
  Returns an agate.Table of catalog information.
  """
 
- information_schemas = self._get_cache_schemas(manifest)
- # information schemas are addressed from datasets on BigQuery
- info_schemas = []
- for info_schema_rel, schemas in information_schemas.items():
- for schema in schemas:
- real_info_schema = self.Relation.create(
- database=info_schema_rel.database,
- schema=schema
- )
- info_schemas.append(real_info_schema)
+ information_schemas = []
+ for database, schema in manifest.get_used_schemas():
+ information_schema = self.Relation.create(
+ database=database,
+ schema=schema,
+ quoting={
+ 'database': True,
+ 'schema': True
+ }
+ )
+ information_schemas.append(information_schema)
 
  # make it a list so macros can index into it.
- kwargs = {'information_schemas': info_schemas}
+ kwargs = {'information_schemas': information_schemas}
  table = self.execute_macro(GET_CATALOG_MACRO_NAME,
  kwargs=kwargs,
  release=True)

plugins/bigquery/dbt/include/bigquery/macros/catalog.sql

@@ -117,13 +117,27 @@
  else unsharded_tables.table_name
  end as table_name,
  unsharded_tables.table_type,
- case when is_date_shard then table_shards else null end as table_shards,
 
  columns.column_name,
  columns.column_index,
  columns.column_type,
  columns.column_comment,
 
+ '# Date Shards' as `stats__date_shards__label`,
+ table_shards.shard_count as `stats__date_shards__value`,
+ 'The number of date shards in this table' as `stats__date_shards__description`,
+ is_date_shard as `stats__date_shards__include`,
+
+ 'Shard (min)' as `stats__date_shard_min__label`,
+ table_shards.shard_min as `stats__date_shard_min__value`,
+ 'The first date shard in this table' as `stats__date_shard_min__description`,
+ is_date_shard as `stats__date_shard_min__include`,
+
+ 'Shard (max)' as `stats__date_shard_max__label`,
+ table_shards.shard_max as `stats__date_shard_max__value`,
+ 'The last date shard in this table' as `stats__date_shard_max__description`,
+ is_date_shard as `stats__date_shard_max__include`,
+
  'Row Count' as `stats__row_count__label`,
  row_count as `stats__row_count__value`,
  'Approximate count of rows in this table' as `stats__row_count__description`,