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