Comments not updating on a SDP streaming table

liquibricks
Contributor

We have a pipeline in a job which dynamically creates a set of streaming tables based on a list of kafka topics like this:

       # inside a loop

      @DP.table(name=table_name, comment=markdown_info)
      def topic_flow(topic_name=topic_name):
         return (
            read_from_kafka(important_parameters)
         )
 
But it seems as if there is a change to some metadata inside `markdown_info` that the underlying table is not updated when the pipeline restarts. Is this known / expected behaviour? Is there any way to update the comment without having to recreate the table?