Anfeng Yuan is a software developer with 11 years’ experience specializing in big data R&D, currently building data systems at JD.com in Beijing. He brings deep backend and database expertise, having contributed parser and transaction support to Vitess and fixes/features to the Presto query engine—both influential projects in distributed databases and SQL engines. His work on Go-based SQL parsing and MySQL-specific compatibility shows a pragmatic focus on robustness and interoperability across large-scale data stacks. Trained in telecommunications and P2P systems at Huazhong University of Science and Technology, he combines protocol-level understanding with practical engineering. Colleagues rely on him to tackle subtle parser bugs, SQL dialect edge cases, and production-facing query planning issues. He pairs steady long-term product ownership with active open-source contributions that improve core data infrastructure.
11 years of coding experience
Bachelor's degree, Telecommunications Engineering, Bachelor's degree, Telecommunications Engineering at Huazhong University of Science and Technology
Master, P2P, Master, P2P at Huazhong University of Science & Technology
Contributions summary:Anfeng primarily contributed to the development of an SQL parser implemented in Go. Their work involved adding support for transaction statements, improving set statements, and fixing rename bugs within the parsing logic. They also implemented support for MySQL-specific comments. These changes indicate a focus on enhancing the parser's functionality and compatibility.
The official home of the Presto distributed SQL query engine for big data
Role in this project:
Back-end Developer
Contributions:27 commits, 46 PRs, 219 comments in 1 year 5 months
Contributions summary:Anfeng contributed to the Presto distributed SQL query engine by addressing bugs and implementing new features. Their work included fixing issues in information schema and system tables, removing redundant code, and adding support for new functionalities like "IF EXISTS" for DROP TABLE and DROP VIEW. Furthermore, the user added a session property to set the task writer count, and made fixes to address planning errors.
distributed-sqlquerybigdataquery-enginesql
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