Exposing write_pandas keyword arguments in pd_writer to provide bette…

…r feature parity (#1258)

src/snowflake/connector/pandas_tools.py

@@ -292,13 +292,14 @@ def write_pandas(
 
 
 def make_pd_writer(
-    quote_identifiers: bool = True,
+    **kwargs,
 ) -> Callable[
     [
         pandas.io.sql.SQLTable,
         sqlalchemy.engine.Engine | sqlalchemy.engine.Connection,
         Iterable,
         Iterable,
+        Any,
     ],
     None,
 ]:
@@ -311,24 +312,28 @@ def make_pd_writer(
             sf_connector_version_df = pd.DataFrame([('snowflake-connector-python', '1.0')], columns=['NAME', 'NEWEST_VERSION'])
             sf_connector_version_df.to_sql('driver_versions', engine, index=False, method=make_pd_writer())
 
-            # to use quote_identifiers=False,
+            # to use parallel=1, quote_identifiers=False,
             from functools import partial
             sf_connector_version_df.to_sql(
-                'driver_versions', engine, index=False, method=make_pd_writer(quote_identifiers=False)))
+                'driver_versions', engine, index=False, method=make_pd_writer(parallel=1, quote_identifiers=False)))
 
-    Args:
-        quote_identifiers: if True (default), the pd_writer will pass quote identifiers to Snowflake.
-            If False, the created pd_writer will not quote identifiers (and typically coerced to uppercase by Snowflake)
+    This function takes arguments used by 'pd_writer' (excluding 'table', 'conn', 'keys', and 'data_iter')
+    Please refer to 'pd_writer' for documentation.
     """
-    return partial(pd_writer, quote_identifiers=quote_identifiers)
+    if any(arg in kwargs for arg in ("table", "conn", "keys", "data_iter")):
+        raise ProgrammingError(
+            "Arguments 'table', 'conn', 'keys', and 'data_iter' are not supported parameters for make_pd_writer."
+        )
+
+    return partial(pd_writer, **kwargs)
 
 
 def pd_writer(
     table: pandas.io.sql.SQLTable,
     conn: sqlalchemy.engine.Engine | sqlalchemy.engine.Connection,
     keys: Iterable,
     data_iter: Iterable,
-    quote_identifiers: bool = True,
+    **kwargs,
 ) -> None:
     """This is a wrapper on top of write_pandas to make it compatible with to_sql method in pandas.
 
@@ -339,16 +344,20 @@ def pd_writer(
             sf_connector_version_df = pd.DataFrame([('snowflake-connector-python', '1.0')], columns=['NAME', 'NEWEST_VERSION'])
             sf_connector_version_df.to_sql('driver_versions', engine, index=False, method=pd_writer)
 
-            # to use quote_identifiers=False, see `make_pd_writer`
-
     Args:
         table: Pandas package's table object.
         conn: SQLAlchemy engine object to talk to Snowflake.
         keys: Column names that we are trying to insert.
         data_iter: Iterator over the rows.
-        quote_identifiers: if True (default), quote identifiers passed to Snowflake. If False, identifiers are not
-            quoted (and typically coerced to uppercase by Snowflake)
+
+        More parameters can be provided to be used by 'write_pandas' (excluding 'conn', 'df', 'table_name', and 'schema'),
+        Please refer to 'write_pandas' for documentation on other available parameters.
     """
+    if any(arg in kwargs for arg in ("conn", "df", "table_name", "schema")):
+        raise ProgrammingError(
+            "Arguments 'conn', 'df', 'table_name', and 'schema' are not supported parameters for pd_writer."
+        )
+
     sf_connection = conn.connection.connection
     df = pandas.DataFrame(data_iter, columns=keys)
     write_pandas(
@@ -357,5 +366,5 @@ def pd_writer(
         # Note: Our sqlalchemy connector creates tables case insensitively
         table_name=table.name.upper(),
         schema=table.schema,
-        quote_identifiers=quote_identifiers,
+        **kwargs,
     )