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  1. scala - What is RDD in spark - Stack Overflow

    Dec 23, 2015 · An RDD is, essentially, the Spark representation of a set of data, spread across multiple machines, with APIs to let you act on it. An RDD could come from any datasource, …

  2. Difference between DataFrame, Dataset, and RDD in Spark

    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[Row]) in Apache Spark? Can you convert one to …

  3. Difference between RDD.foreach () and RDD.map () - Stack Overflow

    Jan 19, 2018 · I am learning Spark in Python and wondering can anyone explain the difference between the action foreach() and transformation map()? rdd.map() returns a new RDD, like the …

  4. Spark: Best practice for retrieving big data from RDD to local …

    Feb 11, 2014 · Update: RDD.toLocalIterator method that appeared after the original answer has been written is a more efficient way to do the job. It uses runJob to evaluate only a single …

  5. scala - How to print the contents of RDD? - Stack Overflow

    But I think I know where this confusion comes from: the original question asked how to print an RDD to the Spark console (= shell) so I assumed he would run a local job, in which case …

  6. How do I split an RDD into two or more RDDs? - Stack Overflow

    Oct 6, 2015 · I'm looking for a way to split an RDD into two or more RDDs. The closest I've seen is Scala Spark: Split collection into several RDD? which is still a single RDD. If you're familiar …

  7. What's the difference between RDD and Dataframe in Spark?

    Aug 20, 2019 · RDD stands for Resilient Distributed Datasets. It is Read-only partition collection of records. RDD is the fundamental data structure of Spark. It allows a programmer to perform …

  8. (Why) do we need to call cache or persist on a RDD

    Mar 11, 2015 · 193 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 the …

  9. How to check the number of partitions of a Spark DataFrame …

    Jan 19, 2019 · There are a number of questions about how to obtain the number of partitions of a n RDD and or a DataFrame : the answers invariably are: rdd.getNumPartitions or …

  10. Difference and use-cases of RDD and Pair RDD - Stack Overflow

    May 6, 2016 · I am new to spark and trying to understand the difference between normal RDD and a pair RDD. What are the use-cases where a pair RDD is used as opposed to a normal …