understanding spark shuffle file re-use better

[Koert Kuipers]

is shuffle file re-use based on identity or equality of the dataframe?

for example if run the exact same code twice to load data and do transforms
(joins, aggregations, etc.) but without re-using any actual dataframes,
will i still see skipped stages thanks to shuffle file re-use?

thanks!
koert