Bigquery assets (#23165)

Author: Wojciech Januszek

airflow/providers/google/cloud/hooks/bigquery.py

@@ -408,7 +408,7 @@ def create_empty_dataset(
         location: Optional[str] = None,
         dataset_reference: Optional[Dict[str, Any]] = None,
         exists_ok: bool = True,
-    ) -> None:
+    ) -> Dict[str, Any]:
         """
         Create a new empty dataset:
         https://cloud.google.com/bigquery/docs/reference/rest/v2/datasets/insert
@@ -452,8 +452,11 @@ def create_empty_dataset(
 
         dataset: Dataset = Dataset.from_api_repr(dataset_reference)
         self.log.info('Creating dataset: %s in project: %s ', dataset.dataset_id, dataset.project)
-        self.get_client(location=location).create_dataset(dataset=dataset, exists_ok=exists_ok)
+        dataset_object = self.get_client(location=location).create_dataset(
+            dataset=dataset, exists_ok=exists_ok
+        )
         self.log.info('Dataset created successfully.')
+        return dataset_object.to_api_repr()
 
     @GoogleBaseHook.fallback_to_default_project_id
     def get_dataset_tables(
@@ -533,7 +536,7 @@ def create_external_table(
         encryption_configuration: Optional[Dict] = None,
         location: Optional[str] = None,
         project_id: Optional[str] = None,
-    ) -> None:
+    ) -> Table:
         """
         Creates a new external table in the dataset with the data from Google
         Cloud Storage. See here:
@@ -659,10 +662,11 @@ def create_external_table(
             table.encryption_configuration = EncryptionConfiguration.from_api_repr(encryption_configuration)
 
         self.log.info('Creating external table: %s', external_project_dataset_table)
-        self.create_empty_table(
+        table_object = self.create_empty_table(
             table_resource=table.to_api_repr(), project_id=project_id, location=location, exists_ok=True
         )
         self.log.info('External table created successfully: %s', external_project_dataset_table)
+        return table_object
 
     @GoogleBaseHook.fallback_to_default_project_id
     def update_table(
@@ -1287,7 +1291,7 @@ def update_table_schema(
         dataset_id: str,
         table_id: str,
         project_id: Optional[str] = None,
-    ) -> None:
+    ) -> Dict[str, Any]:
         """
         Update fields within a schema for a given dataset and table. Note that
         some fields in schemas are immutable and trying to change them will cause
@@ -1361,13 +1365,14 @@ def _remove_policy_tags(schema: List[Dict[str, Any]]):
         if not include_policy_tags:
             _remove_policy_tags(new_schema)
 
-        self.update_table(
+        table = self.update_table(
             table_resource={"schema": {"fields": new_schema}},
             fields=["schema"],
             project_id=project_id,
             dataset_id=dataset_id,
             table_id=table_id,
         )
+        return table
 
     @GoogleBaseHook.fallback_to_default_project_id
     def poll_job_complete(
@@ -2244,7 +2249,7 @@ def create_empty_table(self, *args, **kwargs) -> None:
         )
         return self.hook.create_empty_table(*args, **kwargs)
 
-    def create_empty_dataset(self, *args, **kwargs) -> None:
+    def create_empty_dataset(self, *args, **kwargs) -> Dict[str, Any]:
         """
         This method is deprecated.
         Please use `airflow.providers.google.cloud.hooks.bigquery.BigQueryHook.create_empty_dataset`

airflow/providers/google/cloud/links/bigquery.py

@@ -0,0 +1,77 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""This module contains Google BigQuery links."""
+from typing import TYPE_CHECKING
+
+from airflow.models import BaseOperator
+from airflow.providers.google.cloud.links.base import BaseGoogleLink
+
+if TYPE_CHECKING:
+    from airflow.utils.context import Context
+
+BIGQUERY_BASE_LINK = "https://console.cloud.google.com/bigquery"
+BIGQUERY_DATASET_LINK = (
+    BIGQUERY_BASE_LINK + "?referrer=search&project={project_id}&d={dataset_id}&p={project_id}&page=dataset"
+)
+BIGQUERY_TABLE_LINK = (
+    BIGQUERY_BASE_LINK
+    + "?referrer=search&project={project_id}&d={dataset_id}&p={project_id}&page=table&t={table_id}"
+)
+
+
+class BigQueryDatasetLink(BaseGoogleLink):
+    """Helper class for constructing BigQuery Dataset Link"""
+
+    name = "BigQuery Dataset"
+    key = "bigquery_dataset"
+    format_str = BIGQUERY_DATASET_LINK
+
+    @staticmethod
+    def persist(
+        context: "Context",
+        task_instance: BaseOperator,
+        dataset_id: str,
+        project_id: str,
+    ):
+        task_instance.xcom_push(
+            context,
+            key=BigQueryDatasetLink.key,
+            value={"dataset_id": dataset_id, "project_id": project_id},
+        )
+
+
+class BigQueryTableLink(BaseGoogleLink):
+    """Helper class for constructing BigQuery Table Link"""
+
+    name = "BigQuery Table"
+    key = "bigquery_table"
+    format_str = BIGQUERY_TABLE_LINK
+
+    @staticmethod
+    def persist(
+        context: "Context",
+        task_instance: BaseOperator,
+        dataset_id: str,
+        project_id: str,
+        table_id: str,
+    ):
+        task_instance.xcom_push(
+            context,
+            key=BigQueryTableLink.key,
+            value={"dataset_id": dataset_id, "project_id": project_id, "table_id": table_id},
+        )