Principles and Common Optimization Techniques of the Spark SQL Optimizer
This article explains the underlying principles of the Spark SQL optimizer and presents three classic optimization paradigms—push‑down optimization, operator elimination/merging, and expression elimination/replacement—illustrating each with concrete rule implementations and code examples.