RDD vs DataFrame vs Dataset in Apache Spark: Which One Should You Use and Why
Spark offers three main APIs—RDD, DataFrame, and Dataset—each with unique advantages: RDD provides low-level control, DataFrames optimize performance, and Datasets bring type safety.
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.