How does Adaptive Query Execution (AQE) fix your Spark performance issues?
In Apache Spark versions before 3.0, the common performance issues encountered are: Data skewness, inadequate partitioning, causing uneven distribution. Suboptimal query plan choices, where Spark might choose a static plan without considering runtime statistics, leading to inefficiencies. The lack of adaptability in handling varying data sizes between stages poses another performance hurdle. These issues are…