CI: Fix Flakey GBQ Tests (#30630)

Author: alimcmaster1

pandas/tests/io/test_gbq.py

@@ -68,6 +68,10 @@ def _get_client():
  return bigquery.Client(project=project_id, credentials=credentials)
 
 
+def generate_rand_str(length: int = 10) -> str:
+ return "".join(random.choices(string.ascii_lowercase, k=length))
+
+
 def make_mixed_dataframe_v2(test_size):
  # create df to test for all BQ datatypes except RECORD
  bools = np.random.randint(2, size=(1, test_size)).astype(bool)
@@ -153,19 +157,15 @@ def gbq_dataset(self):
  _skip_if_no_project_id()
  _skip_if_no_private_key_path()
 
- dataset_id = "pydata_pandas_bq_testing_py31"
+ dataset_id = "pydata_pandas_bq_testing_" + generate_rand_str()
 
  self.client = _get_client()
  self.dataset = self.client.dataset(dataset_id)
- try:
- # Clean-up previous test runs.
- self.client.delete_dataset(self.dataset, delete_contents=True)
- except api_exceptions.NotFound:
- pass # It's OK if the dataset doesn't already exist.
 
+ # Create the dataset
  self.client.create_dataset(bigquery.Dataset(self.dataset))
 
- table_name = "".join(random.choices(string.ascii_lowercase, k=10))
+ table_name = generate_rand_str()
  destination_table = f"{dataset_id}.{table_name}"
  yield destination_table