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Sergey Minaev

PROFILE

Sergey Minaev

Over a three-month period, contributed to QuestDB by developing advanced SQL analytics features and enhancing both code and documentation. Delivered new statistical and window functions, such as stddev, variance, ntile, and nth_value, expanding the platform’s analytical capabilities. Improved CI/CD reliability through automated failure analysis and addressed edge cases in windowed queries. Enhanced performance for large datasets by parallelizing operations and optimizing SQL execution. Authored comprehensive documentation, including detailed guides for new functions like regr_r2, ensuring clarity for users and developers. Work spanned Java, SQL, and Bash, with a focus on automation, benchmarking, and rigorous testing best practices.

Overall Statistics

Feature vs Bugs

89%Features

Repository Contributions

12Total
Bugs
1
Commits
12
Features
8
Lines of code
40,397
Activity Months3

Work History

June 2026

1 Commits • 1 Features

Jun 1, 2026

June 2026: Delivered comprehensive documentation for the new regr_r2(y, x) aggregate function in questdb/documentation, detailing its definition, behavior, math form, edge cases, and three worked examples. Aligned with the implementation PR questdb/questdb#7104 and added a May 2026 changelog entry. Validated docs locally (yarn start), ensured KaTeX rendering, and verified changelog anchors. This work improves developer onboarding and SQL analytics capabilities by clarifying how regr_r2 operates and where it diverges from corr^2.

May 2026

5 Commits • 3 Features

May 1, 2026

May 2026 Monthly Summary: Delivered substantial SQL analytics enhancements and performance improvements in QuestDB, accompanied by expanded documentation. Key features include new window functions ntile, cume_dist, and nth_value (with LONG and TIMESTAMP support) and cross-column FILL(PREV) plus parallelized SAMPLE BY. Documentation updates cover new window functions and the SAMPLE BY FILL fast-path usage. Major bugs fixed: none reported this month. Impact: richer analytics capabilities, faster processing of large datasets, and clearer guidance for users; overall, strengthened platform readiness for analytics workloads. Technologies demonstrated include advanced SQL windowing, multi-type support, benchmarking, and user-focused documentation.

April 2026

6 Commits • 4 Features

Apr 1, 2026

April 2026 monthly summary highlighting key business value and technical achievements across QuestDB repositories. Delivered new analytics capabilities, strengthened CI reliability, fixed critical window function edge cases, and expanded documentation to accelerate adoption and reduce support overhead.

Activity

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Quality Metrics

Correctness98.4%
Maintainability86.8%
Architecture95.0%
Performance86.8%
AI Usage31.6%

Skills & Technologies

Programming Languages

BashJavaMarkdown

Technical Skills

AutomationBenchmarkingCI/CDData AnalysisDatabase DevelopmentDatabase ManagementDatabase OptimizationJavaSQLScriptingdata analysisdatabase managementdocumentationtechnical writingtesting best practices

Repositories Contributed To

2 repos

Overview of all repositories you've contributed to across your timeline

questdb/questdb

Apr 2026 May 2026
2 Months active

Languages Used

BashJavaMarkdown

Technical Skills

AutomationCI/CDData AnalysisDatabase ManagementJavaSQL

questdb/documentation

Apr 2026 Jun 2026
3 Months active

Languages Used

Markdown

Technical Skills

data analysisdocumentationtechnical writingSQLdatabase management