July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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Stateful transformations
Stateful transformations operate on a DStream, but the computations depend on the previous state of processing. Operations such as countByValueAndWindow, reduceByKeyAndWindow , mapWithState, and updateStateByKey are all examples of stateful transformations. In fact, all window-based transformations are all stateful because, by the definition of window operations, we need to keep track of the window length and sliding interval of DStream.
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