After using spark.read.format("snowflake").options(**options).option("dbtable", "table_name").load() to read a table from Snowflake, when I then change the table from Snowflake and read it again, it gives me the first version of the table. I have worked around the problem by restarting the cluster. Is there a better way? Maybe restarting the snowflake connector or configuring it differently?