Github user tejasapatil commented on the issue:
https://github.com/apache/spark/pull/13419
I guess that the caching is done over multiple nodes. If the data for a
dataset is updated physically and some of the nodes where the data was cached
go down, would the existing `cached` dataset be invalidated and refreshed ? If
not, then old dataframes can give inconsistent or incomplete data.
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