Performance Tuning - Spark 4.0.1 Documentation

Performance Tuning Spark offers many techniques for tuning the performance of DataFrame or SQL workloads. Those techniques, broadly speaking, include caching data, altering how datasets are partitioned, selecting the optimal join strategy, and providing the optimizer with additional information it can use to build more efficient execution plans. Caching Data Tuning Partitions Coalesce Hints Levera