What is shuffle in Apache Spark, and why is it an expensive operation?
- A data re-distribution process during transformations
- A process of joining two datasets
- A process of re-partitioning data for parallel processing
- A task scheduling mechanism in Spark
Shuffle in Apache Spark involves re-distributing data across partitions, often required after certain transformations like groupBy or sortByKey, making it an expensive operation due to data movement across the cluster.
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