Junyi Lu
Production Engineer at Facebook
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolJunyi Lu is a Production Engineer based in the San Francisco Bay Area with 13 years of experience specializing in MySQL performance, tuning, and automation across diverse Linux hardware environments. He has deep hands-on expertise in MySQL internals and tooling—having read InnoDB source, resolved multiple production bugs under pressure, and contributed a documented Percona bug fix—plus strong scripting skills in Perl/PHP and cache systems like memcached. At Facebook he advanced reliability and performance work and contributed significant enhancements to the well-known OnlineSchemaChange tool to improve write-intensive workloads. Junyi pairs operational rigor (strace, blktrace, systemtap) with pragmatic automation—building fingerprint-based SQL monitors, slow-query centers, and capacity forecasting—while actively engaging the MySQL community in China through leadership and open-source forks. Notably, he has presented MySQL high-availability to large audiences, demonstrating both technical depth and clear communication across global teams.
13 years of coding experience
2 years of employment as a software developer
xiangmingBachelor's Degree, Information Security, Bachelor's Degree, Information Security at Shanghai Jiao Tong University
Github Skills (9)
schema-org10
data-migration10
schema-design10
schema10
performance-optimization10
sql10
database-design10
mysql10
python9
Programming languages (5)
Github contributions (5)
facebookincubator/OnlineSchemaChange
May 2017 - Jun 2021
A tool for performing online schema changes on MySQL.
Role in this project:
Back-end Developer / Database Engineer
Back-end Developer / Database EngineerContributions:56 commits, 8 PRs, 7 pushes in 4 years 1 month
Contributions summary:Junyi focused on enhancing the performance and functionality of the online schema change tool for MySQL. Their contributions involved optimizing data replay processes by grouping events and implementing chunk-based processing, which improved efficiency for write-intensive tables. They introduced features like the ability to dump data after checksum and skip disk space checks. Furthermore, the user addressed bugs, improved the ALTER TABLE statement generator, and refined the overall reliability and stability of the tool.
mysqlschema-changes
cenalulu/cenalulu.github.io
Dec 2014 - Oct 2017
This is the repository for my personal technical blog.
Contributions:172 commits, 1 PR, 156 pushes in 2 years 10 months
technical-blog
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