how to create RDD in spark scala using intellij idea || DataEdge Systems Inc

Опубликовано: 27 Сентябрь 2024
на канале: DataEdge Learning

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Spark RDD can be created in several ways using Scala & Pyspark languages, for example, It can be created by using sparkContext.parallelize(), from text file, from another RDD, DataFrame, and Dataset. Though we have covered most of the examples in Scala here, the same concept can be used to create RDD in PySpark (Python Spark).
Resilient Distributed Datasets (RDD) is the fundamental data structure of Spark. RDDs are immutable and fault-tolerant in nature. RDD is just the way of representing Dataset distributed across multiple nodes in a cluster, which can be operated in parallel. RDDs are called resilient because they have the ability to always re-compute an RDD when a node failure.