Spark 3 AQE and cache
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04-27-2022 12:41 AM
Hello everybody,
I recently discovered (the hard way) that when a query plan uses cached data, the AQE does not kick-in. Result is that you loose the super cool feature of dynamic partition coalesce (no more custom shuffle readers in the DAG).
Is there a way to combine both? If not, do you guys know what the rule is or have any links I could read?
My understanding after testing is that if a cached dataframe in present in the sql query, then you have no adaptive query plan on the whole query. Is that correct?
Cheers,
Pantelis
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