BigQuery supports clustering for both partitioned and non-partitioned tables.

Reference: [https://cloud.google.com/bigquery/docs/clustered-tables](https://cloud.google.com/bigquery/docs/clustered-tables)
airflow/providers/google/cloud/hooks/bigquery.py
"""Specifies the number of rows to fetch at a time with .fetchmany()"""
        return self.buffersize or 1
    def set_arraysize(self, arraysize: int) -> None:
        """Specifies the number of rows to fetch at a time with .fetchmany()"""
        self.buffersize = arraysize
    arraysize = property(get_arraysize, set_arraysize)
    def setinputsizes(self, sizes: Any) -> None:
        """Does nothing by default"""
    def setoutputsize(self, size: Any, column: Any = None) -> None:
        """Does nothing by default"""
def _bind_parameters(operation: str, parameters: dict) -> str:
    """Helper method that binds parameters to a SQL query"""
    # 
    string_parameters = {}  # 
    for (name, value) in parameters.items():
        if value is None:
            string_parameters[name] = 'NULL'
        elif isinstance(value, str):
            string_parameters[name] = "'" + _escape(value) + "'"
        else:
            string_parameters[name] = str(value)
    return operation % string_parameters
def _escape(s: str) -> str: