Partitioning in Spark: HashPartitioner, RangePartitioner, and Custom Strategies

TLDR: Spark's partition count and partitioning strategy are the two levers that determine whether a job scales linearly or crumbles under data growth. HashPartitioner distributes keys by hash modulo — fast and uniform for well-distributed keys, catas...