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When a resilient distributed dataset (RDD) is created from a text file or collection (or from another RDD), do we need to call “cache” or “persist” explicitly to store...
I prefer Python over Scala. But, as Spark is natively written in Scala, I was expecting my code to run faster in the Scala than the Python version for...
In terms of RDD persistence, what are the differences between cache() and persist() in spark ? 6 Answers 6
I’m just wondering what is the difference between an RDD and DataFrame (Spark 2.0.0 DataFrame is a mere type alias for Dataset...
According to Learning Spark Keep in mind that repartitioning your data is a fairly expensive operation. Spark also has an optimized version of repartition() called coalesce() that allows avoiding...