mgmarino opened a new pull request, #12129:
URL: https://github.com/apache/iceberg/pull/12129

   This is to fix: #12046
   
   To summarize, the issue is that Spark can remove broadcast variables from 
memory and
   persist them to disk in case that memory needs to be freed. In the case
   that this happens, the IO object would be closed even if it was still
   being used by tasks.
   
   This fixes the issue by removing the closure of the IO object when the
   serializable table is closed. The IO objects should be closed on thread
   finalizers.
   


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