Spark Scala Exercise 22: Custom Partitioning in Spark RDDsLoad Balancing and Shuffle
Implementing a custom partitioner in Spark Scala allows for co-locating related keys, balancing skewed loads, and optimizing reduce-side joins, giving control over task distribution.