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On Tue, Dec 8, 2020 at 8:50 AM rahul c wrote:
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I think Spark allows users to manage the cache space because they can do it
much more effectively compared to an automated approach. It is very difficult
to find a caching strategy that fits the needs of all users. Finally, although
there are soft limits between the execution and cache memory
As the documentation says, Cache Manager is only invoked when a caching (i.e.
persist) function is called by the user in the code. Therefore, giving that,
as far as I understood, unless cache/persist operations are not explicitly
called, the job's results (including inputs and intermediate ones)