Fix BigQueryCursor execute method if the location is missing

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

@@ -1588,16 +1588,16 @@ def get_job(
         job_id: str,
         project_id: str = PROVIDE_PROJECT_ID,
         location: str | None = None,
-    ) -> CopyJob | QueryJob | LoadJob | ExtractJob | UnknownJob:
+    ) -> BigQueryJob | UnknownJob:
         """Retrieve a BigQuery job.
 
         .. seealso:: https://cloud.google.com/bigquery/docs/reference/v2/jobs
 
         :param job_id: The ID of the job. The ID must contain only letters (a-z, A-Z),
             numbers (0-9), underscores (_), or dashes (-). The maximum length is 1,024
             characters.
-        :param project_id: Google Cloud Project where the job is running
-        :param location: location the job is running
+        :param project_id: Google Cloud Project where the job is running.
+        :param location: Location where the job is running.
         """
         client = self.get_client(project_id=project_id, location=location)
         job = client.get_job(job_id=job_id, project=project_id, location=location)
@@ -2849,15 +2849,16 @@ def rowcount(self) -> int:
         return -1
 
     def execute(self, operation: str, parameters: dict | None = None) -> None:
-        """Execute a BigQuery query, and return the job ID.
+        """Execute a BigQuery query, and update the BigQueryCursor description.
 
         :param operation: The query to execute.
         :param parameters: Parameters to substitute into the query.
         """
         sql = _bind_parameters(operation, parameters) if parameters else operation
         self.flush_results()
-        self.job_id = self._run_query(sql)
-
+        job = self._run_query(sql)
+        self.job_id = job.job_id
+        self.location = self.location or job.location
         query_results = self._get_query_result()
         if "schema" in query_results:
             self.description = _format_schema_for_description(query_results["schema"])
@@ -2997,15 +2998,15 @@ def _run_query(
         self,
         sql,
         location: str | None = None,
-    ) -> str:
-        """Run job query."""
+    ) -> BigQueryJob:
+        """Run a job query and return the job instance."""
         if not self.project_id:
             raise ValueError("The project_id should be set")
 
         configuration = self._prepare_query_configuration(sql)
         job = self.hook.insert_job(configuration=configuration, project_id=self.project_id, location=location)
 
-        return job.job_id
+        return job
 
     def _prepare_query_configuration(
         self,
@@ -3357,7 +3358,7 @@ async def get_job_instance(
 
     async def _get_job(
         self, job_id: str | None, project_id: str = PROVIDE_PROJECT_ID, location: str | None = None
-    ) -> CopyJob | QueryJob | LoadJob | ExtractJob | UnknownJob:
+    ) -> BigQueryJob | UnknownJob:
         """
         Get BigQuery job by its ID, project ID and location.
 

tests/system/providers/google/cloud/bigquery/example_bigquery_value_check.py

@@ -0,0 +1,148 @@
+#
+# 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.
+
+"""
+Example Airflow DAG for Google BigQuery service.
+
+The DAG checks how BigQueryValueCheckOperator works with a non-US dataset.
+"""
+
+from __future__ import annotations
+
+import os
+from datetime import datetime, timedelta
+
+from airflow.models.dag import DAG
+from airflow.providers.google.cloud.operators.bigquery import (
+    BigQueryCreateEmptyDatasetOperator,
+    BigQueryCreateEmptyTableOperator,
+    BigQueryDeleteDatasetOperator,
+    BigQueryInsertJobOperator,
+    BigQueryValueCheckOperator,
+)
+from airflow.utils.trigger_rule import TriggerRule
+
+ENV_ID = os.environ.get("SYSTEM_TESTS_ENV_ID", "default")
+PROJECT_ID = os.environ.get("SYSTEM_TESTS_GCP_PROJECT", "default")
+NON_US_LOCATION = "asia-east1"
+
+SCHEMA = [
+    {"name": "value", "type": "INTEGER", "mode": "REQUIRED"},
+    {"name": "name", "type": "STRING", "mode": "NULLABLE"},
+    {"name": "ds", "type": "DATE", "mode": "NULLABLE"},
+]
+
+DAG_ID = "bq_value_check_location"
+DATASET = f"ds_{DAG_ID}_{ENV_ID}"
+TABLE = "ds_table"
+INSERT_DATE = datetime.now().strftime("%Y-%m-%d")
+INSERT_ROWS_QUERY = (
+    f"INSERT {DATASET}.{TABLE} VALUES "
+    f"(42, 'monty python', '{INSERT_DATE}'), "
+    f"(42, 'fishy fish', '{INSERT_DATE}');"
+)
+default_args = {
+    "execution_timeout": timedelta(minutes=10),
+    "retries": 2,
+    "retry_delay": timedelta(seconds=30),
+}
+
+with DAG(
+    DAG_ID,
+    schedule="@once",
+    catchup=False,
+    start_date=datetime(2024, 1, 1),
+    default_args=default_args,
+    tags=["example", "bigquery"],
+) as dag:
+    create_dataset = BigQueryCreateEmptyDatasetOperator(
+        task_id="create_dataset",
+        dataset_id=DATASET,
+        location=NON_US_LOCATION,
+    )
+
+    create_table = BigQueryCreateEmptyTableOperator(
+        task_id="create_table",
+        dataset_id=DATASET,
+        table_id=TABLE,
+        schema_fields=SCHEMA,
+        location=NON_US_LOCATION,
+    )
+
+    insert_query_job = BigQueryInsertJobOperator(
+        task_id="insert_query_job",
+        configuration={
+            "query": {
+                "query": INSERT_ROWS_QUERY,
+                "useLegacySql": False,
+                "priority": "BATCH",
+            }
+        },
+        location=NON_US_LOCATION,
+    )
+
+    check_value = BigQueryValueCheckOperator(
+        task_id="check_value",
+        sql=f"SELECT COUNT(*) FROM {DATASET}.{TABLE}",
+        pass_value=2,
+        use_legacy_sql=False,
+        location=NON_US_LOCATION,
+    )
+
+    check_value_no_location = BigQueryValueCheckOperator(
+        task_id="check_value_no_location",
+        sql=f"SELECT COUNT(*) FROM {DATASET}.{TABLE}",
+        pass_value=2,
+        use_legacy_sql=False,
+        deferrable=False,
+    )
+
+    delete_dataset = BigQueryDeleteDatasetOperator(
+        task_id="delete_dataset",
+        dataset_id=DATASET,
+        delete_contents=True,
+        trigger_rule=TriggerRule.ALL_DONE,
+    )
+
+    (
+        # TEST SETUP
+        create_dataset
+        >> create_table
+        >> insert_query_job
+        # TEST BODY
+        >> check_value
+        >> check_value_no_location
+        # TEST TEARDOWN
+        >> delete_dataset
+    )
+
+    from tests.system.utils import get_test_run
+    from tests.system.utils.watcher import watcher
+
+    # This test needs watcher in order to properly mark success/failure
+    # when "tearDown" task with trigger rule is part of the DAG
+    list(dag.tasks) >> watcher()
+
+    # Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
+    test_run = get_test_run(dag)
+
+
+from tests.system.utils import get_test_run  # noqa: E402
+
+# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
+test_run = get_test_run(dag)