I'm running on AWS EMR Spark (v2) and calculated a large dataframe. When the dataframe.cache() (which is lazy) kicks-in would it be performed on the task nodes, or would the data frame be moved around to the core nodes for caching?
Amazon EMR - Is Spark dataframe.cache() stored in core nodes only, or also on task nodes?
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