Spark Streaming - Spark 3.5.1 Documentation
Spark Streaming Programming Guide Note Overview A Quick Example Basic Concepts Linking Initializing StreamingContext Discretized Streams (DStreams) Input DStreams and Receivers Transformations on DStreams Output Operations on DStreams DataFrame and SQL Operations MLlib Operations Caching / Persistence Checkpointing Accumulators, Broadcast Variables, and Checkpoints Deploying Applications Monitorin
RDD Programming Guide - Spark 3.5.1 Documentation
RDD Programming Guide Overview Linking with Spark Initializing Spark Using the Shell Resilient Distributed Datasets (RDDs) Parallelized Collections External Datasets RDD Operations Basics Passing Functions to Spark Understanding closures Example Local vs. cluster modes Printing elements of an RDD Working with Key-Value Pairs Transformations Actions Shuffle operations Background Performance Impact
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