Architectural Overview and Optimization Techniques for SQL‑on‑Hadoop Systems
This article provides a comprehensive analysis of SQL‑on‑Hadoop architectures, comparing runtime‑framework‑based engines like Hive with MPP‑style engines such as Impala, detailing core components, compilation pipelines, optimizer strategies, CPU/IO performance tricks, columnar storage formats, and resource management in modern big‑data query platforms.
