A comprehensive reference guide for optimizing Apache Spark jobs. Covers partitioning strategies, join optimization (broadcast, sort-merge, bucket joins), caching patterns, memory tuning, shuffle optimization, and data format best practices with PySpark code examples.
SparkData EngineeringPerformance+3