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Simple heuristics are used to cache an RDD after it has been evaluated. This happens after expensive operations like reading and grouping This risks running out of memory if caching is too aggressive, and inefficient repeated evaluation if caching is not performed. Is there a more intelligent way to do this without burdening the user with having to think about this?
The text was updated successfully, but these errors were encountered:
Simple heuristics are used to cache an RDD after it has been evaluated. This happens after expensive operations like reading and grouping This risks running out of memory if caching is too aggressive, and inefficient repeated evaluation if caching is not performed. Is there a more intelligent way to do this without burdening the user with having to think about this?
The text was updated successfully, but these errors were encountered: