| PrestoDB Committer | Presto-Iceberg Code Owner | Apache Iceberg Contributor |
My work focuses on distributed query engines and lakehouse architectures, with a growing interest in AI data infrastructure.
This site shares my insights and deep dives into the architecture and implementation of modern data systems, including ongoing deep-dive series on query engine internals, lakehouse architectures, and distributed execution.
能力联邦：Presto的一种可能演进方向 — Ability Federation: A Potential Evolution Path for Presto
Presto 0.297 Release 解读：从查询引擎到下一代 Lakehouse 执行层 — Presto 0.297 Release Deep Dive: From Query Engine to Next-Generation Lakehouse Execution Layer
Presto vs Spark：执行范式差异如何决定响应速度与数据规模上限 — Presto vs. Spark: How Execution Paradigm Divergence Determines Responsiveness and Scalability Ceilings
Presto 查询引擎内核详解：整体架构与查询执行流程 — Presto Query Engine Kernel Deep Dive: Overall Architecture and Query Execution Flow
Presto 查询引擎内核详解：分布式规划机制 — Presto Query Engine Kernel Deep Dive: Distributed Planning Mechanism
Presto 查询引擎内核详解：集群资源管理机制解析 — Presto Query Engine Kernel Deep Dive: An Analysis of Cluster Resource Management Mechanisms
Presto 查询引擎内核详解：AddLocalExchanges——基于数据流属性约束的本地执行规划 — Presto Query Engine Kernel Deep Dive: AddLocalExchanges — Local Execution Planning Through Dataflow Property Enforcement
Presto 查询引擎内核详解：Worker 本地执行模型——从物理计划到可调度执行单元 — Presto Query Engine Kernel Deep Dive: Worker Local Execution Model — From Physical Plans to Schedulable Execution Units
Presto 查询引擎内核详解：SQL Analyzer 语义分析机制——从 AST 到 Analysis — Presto Query Engine Kernel Deep Dive: SQL Analyzer — From AST to Analysis
Presto 查询引擎内核详解：基于多级反馈队列思想的 Worker 调度模型 — Presto Query Engine Kernel Deep Dive: Worker Scheduling Model Based on Multi-Level Feedback Queue Principles
Presto 查询引擎内核详解：Spill-to-Disk 执行 — Presto Query Engine Kernel Deep Dive: Spill-to-Disk Execution
Presto 查询引擎内核详解：AddExchanges——基于物理属性的全局数据分布规划 — Presto Query Engine Kernel Deep Dive: AddExchanges — Global Data Distribution Planning Based on Physical Properties
Presto 查询引擎内核详解：分布式调度模型 — Presto Query Engine Kernel Deep Dive: Understanding the Distributed Query Scheduling
Unless otherwise noted, all articles on this site are licensed under the Creative Commons Attribution 4.0 International License.