trinodb/trino
Feb 2025 – Mar 2026
2 Months active
Languages Used
JavaSQL
Technical Skills
Backend DevelopmentDistributed SystemsResource ManagementSystem DesignJavabackend development
Kenny Kwan
PROFILE
Kenny Kwan
Kenny Kwan contributed backend features to the trinodb/trino repository, focusing on resource management and observability in distributed systems. He developed quota-based tracking for physical data scans within resource groups, introducing new metrics and configuration options to improve resource utilization and support governance and capacity planning. In a subsequent project, Kenny enhanced query execution observability by integrating split source metrics into QueryInputMetadata, enabling more granular performance tracking across query stages. His work, implemented primarily in Java and SQL with an emphasis on system design and unit testing, addressed multi-tenant performance and laid the groundwork for data-driven optimization and service-level improvements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,194
Activity Months2
Your Network
168 peopleShared Repositories
168
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) focused on enhancing observability for query execution in trinodb/trino by integrating split source metrics into QueryInputMetadata, enabling more granular performance tracking across query stages. This sets the foundation for data-driven performance optimization and SLA improvements.
1 Commits • 1 Features
Mar 1, 2026March 2026 (2026-03) focused on enhancing observability for query execution in trinodb/trino by integrating split source metrics into QueryInputMetadata, enabling more granular performance tracking across query stages. This sets the foundation for data-driven performance optimization and SLA improvements.
March 2026
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — Delivered Resource Group Data Scan Quotas and Metrics for trinodb/trino, enabling quota-based tracking of physical data scans within resource groups. Introduced new metrics and configuration options for physical data input to improve resource utilization and prevent excessive scanning. This work lays the groundwork for governance, capacity planning, and improved multi-tenant performance.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — Delivered Resource Group Data Scan Quotas and Metrics for trinodb/trino, enabling quota-based tracking of physical data scans within resource groups. Introduced new metrics and configuration options for physical data input to improve resource utilization and prevent excessive scanning. This work lays the groundwork for governance, capacity planning, and improved multi-tenant performance.
Activity
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Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaSQL
Technical Skills
Backend DevelopmentDistributed SystemsJavaResource ManagementSystem Designbackend developmentunit testing
Repositories Contributed To
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