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With AWS/Azure Autoscaling, how do we fine tune spark jobs?
With the recommended autoscaling, e.g, https://docs.databricks.com/clusters/cluster-config-best-practices.html, setting; is it possible to dynamically set a fine tuned spark job, given that the number of executors could be changing at any time?
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@Andrew Fogarty​ I would suggest you instead of dynamic add that thing in the spark cluster itself by that you can save cost
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