test: prevents query cache reuse that seems to trigger dtypes test failure (#557)

* fix: updates dataset path

* fix: avoid reusing cached results

* chore: fixes linting errors

* chore: fixes more linting errors

* adds comment regarding use of specific parameter to avoid cache mismatch

Author: chalmerlowe

tests/system/test_read_gbq.py

@@ -547,7 +547,13 @@ def test_default_dtypes(
 ):
     if use_bqstorage_api not in use_bqstorage_apis:
         pytest.skip(f"use_bqstorage_api={use_bqstorage_api} not supported.")
-    result = read_gbq(query, use_bqstorage_api=use_bqstorage_api)
+    # the parameter useQueryCache=False is used in the following function call
+    # to avoid a failing test due to cached data that may be out of order.
+    result = read_gbq(
+        query,
+        use_bqstorage_api=use_bqstorage_api,
+        configuration={"query": {"useQueryCache": False}},
+    )
     pandas.testing.assert_frame_equal(result, expected)
 
 

tests/system/test_read_gbq_with_bqstorage.py

@@ -50,7 +50,7 @@ def test_large_results(random_dataset, method_under_test):
           total_amount,
           passenger_count,
           trip_distance
-        FROM `bigquery-public-data.new_york_taxi_trips.tlc_green_trips_2014`
+        FROM `bigquery-public-data.new_york.tlc_green_trips_2014`
         -- Select non-null rows for no-copy conversion from Arrow to pandas.
         WHERE total_amount IS NOT NULL
           AND passenger_count IS NOT NULL