February 2019
Beginner to intermediate
544 pages
14h 36m
English
Content preview from Mastering Hadoop 3
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RDD features
The different features of RDD are explained as follows:
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Distributed dataset: RDD is a distributed collection of datasets that are processed in a distributed set of machines. RDD comes with a rich set of operators that allows users to write optimized and efficient processing code without worrying about its distributed processing, fault tolerance, and data shuffling.
- Immutable: RDD is immutable in nature, which means that the transformation cannot affect existing RDDs. Instead, new RDDs will be created. RDDs consist of a number of partitions and each partition contains a logical set of data that is also immutable in nature. The immutable nature helps in achieving consistency, which is very much required in distributed processing. ...
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