perf(sqlalchemy-bigquery): implement session-scoped table reuse for geography system tests

Author: ohmayr

packages/sqlalchemy-bigquery/tests/system/conftest.py

@@ -92,6 +92,17 @@ def bigquery_dataset(
     )
     view.view_query = f"SELECT string FROM `{dataset_id}.sample`"
     bigquery_client.create_table(view)
+
+    # Pre-create session-scoped lake table for geography tests
+    lake_table = bigquery.Table(
+        f"{project_id}.{dataset_id}.lake",
+        schema=[
+            bigquery.SchemaField("name", "STRING"),
+            bigquery.SchemaField("geog", "GEOGRAPHY"),
+        ],
+    )
+    bigquery_client.create_table(lake_table)
+
     yield dataset_id
     bigquery_client.delete_dataset(dataset_id, delete_contents=True)
 

packages/sqlalchemy-bigquery/tests/system/test_geography.py

@@ -38,13 +38,10 @@ def test_geoalchemy2_core(engine, bigquery_dataset):
 
     from sqlalchemy_bigquery import GEOGRAPHY, WKT
 
-    metadata = MetaData()
     lake_table = Table(
         "lake", metadata, Column("name", String), Column("geog", GEOGRAPHY)
     )
 
-    lake_table.create(engine)
-
     # Insertions
 
     conn = engine.connect()