Update sqlalchemy e2e tests to get valid signal after parameterized q…

…ueries were implemented in DBR

Signed-off-by: Jesse Whitehouse <jesse.whitehouse@databricks.com>

tests/e2e/sqlalchemy/test_basic.py

@@ -115,6 +115,7 @@ def test_connect_args(db_engine):
 
 
 @pytest.mark.skipif(sqlalchemy_1_3(), reason="Pandas requires SQLAlchemy >= 1.4")
+@pytest.mark.skip(reason="DBR is currently limited to 256 parameters per call to .execute(). Test cannot pass.")
 def test_pandas_upload(db_engine, metadata_obj):
 
     import pandas as pd
@@ -170,7 +171,8 @@ def test_bulk_insert_with_core(db_engine, metadata_obj, session):
 
     import random
 
-    num_to_insert = random.choice(range(10_000, 20_000))
+    # Maximum number of parameter is 256. 256/4 == 64
+    num_to_insert = 64
 
     table_name = "PySQLTest_{}".format(datetime.datetime.utcnow().strftime("%s"))
 
@@ -181,7 +183,7 @@ def test_bulk_insert_with_core(db_engine, metadata_obj, session):
     )
 
     rows = [
-        {"name": names[i % 3], "number": random.choice(range(10000))}
+        {"name": names[i % 3], "number": random.choice(range(64))}
         for i in range(num_to_insert)
     ]
 
@@ -193,6 +195,7 @@ def test_bulk_insert_with_core(db_engine, metadata_obj, session):
     assert len(rows) == num_to_insert
 
 
+@pytest.mark.skip(reason="Parameterized query implementation cannot work with Decimal types yet.")
 def test_create_insert_drop_table_core(base, db_engine, metadata_obj: MetaData):
     """ """
 
@@ -264,6 +267,7 @@ class SampleObject(base):
     base.metadata.drop_all()
 
 
+@pytest.mark.skip(reason="Parameterized query implementation cannot work with Decimal types yet.")
 def test_dialect_type_mappings(base, db_engine, metadata_obj: MetaData):
     """Confirms that we get back the same time we declared in a model and inserted using Core"""