ClickHouse/ClickBench
Oct 2025 – Feb 2026
4 Months active
Languages Used
BashMarkdownPythonSQLShellGoJSONbash
Technical Skills
API IntegrationAuthenticationBenchmarkingCI/CDConfiguration ManagementData Analysis
Ignacio Van Droogenbroeck
PROFILE
Ignacio Van Droogenbroeck
Ignacio Vandroogenbroeck developed and maintained performance benchmarking automation for the ClickHouse/ClickBench repository over four months, focusing on Arc integration and data quality. He engineered end-to-end benchmark workflows using Go, Python, and shell scripting, implementing API-driven execution with authentication, automated environment setup, and robust error handling. Ignacio expanded hardware coverage, introduced cold-start measurement techniques, and improved logging and diagnostics to ensure reproducible, CI-friendly results. He also automated Arc updates, standardized JSON output, and managed repository hygiene by removing obsolete data. His work emphasized reliability, scalability, and maintainability, providing accurate benchmarks to support performance validation and capacity planning for diverse environments.
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
34Total
Bugs
2
Commits
34
Features
10
Lines of code
7,706
Activity Months4
Your Network
69 people
Work History
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 performance update for ClickBench (ClickHouse/ClickBench). Delivered an updated performance benchmark for the c6a.4xlarge instance, reflecting improved performance metrics across diverse load scenarios. The update enhances measurement fidelity, reproducibility, and decision support for capacity planning and instance sizing. No major bugs fixed this month; efforts focused on data accuracy and benchmark stability. Overall impact: more reliable benchmarks to guide performance SLAs, capacity planning, and optimization efforts. Technologies demonstrated include benchmark engineering, data analysis, Arc benchmark tooling, and disciplined version control.
1 Commits • 1 Features
Feb 1, 2026February 2026 performance update for ClickBench (ClickHouse/ClickBench). Delivered an updated performance benchmark for the c6a.4xlarge instance, reflecting improved performance metrics across diverse load scenarios. The update enhances measurement fidelity, reproducibility, and decision support for capacity planning and instance sizing. No major bugs fixed this month; efforts focused on data accuracy and benchmark stability. Overall impact: more reliable benchmarks to guide performance SLAs, capacity planning, and optimization efforts. Technologies demonstrated include benchmark engineering, data analysis, Arc benchmark tooling, and disciplined version control.
February 2026
December 2025
6 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for ClickHouse/ClickBench focusing on delivering features that improve update reliability, benchmarking data quality, and repository hygiene. The work reinforced business value by enabling automated Arc updates, standardized performance metadata, and robust JSON output, while removing obsolete data and stray files to streamline CI/CD and reduce maintenance costs.
December 2025
6 Commits • 3 Features
Dec 1, 2025December 2025 monthly summary for ClickHouse/ClickBench focusing on delivering features that improve update reliability, benchmarking data quality, and repository hygiene. The work reinforced business value by enabling automated Arc updates, standardized performance metadata, and robust JSON output, while removing obsolete data and stray files to streamline CI/CD and reduce maintenance costs.
November 2025
7 Commits • 3 Features
Nov 1, 2025November 2025 (ClickHouse/ClickBench) focused on delivering a more accurate, scalable benchmarking workflow and expanding hardware coverage, while tightening reliability and operational efficiency. Key features delivered include a complete overhaul of the Arc Benchmarking Tool to run a Go-based benchmarking binary with true cold-start measurements (restarting Arc and clearing OS cache) and improved install/logging to support consistent cold runs. The benchmark configuration and results were refreshed across multiple instance types (including c6a.4xlarge, c6a.2xlarge) and expanded to cover ARM/Graviton3 hardware (e.g., Graviton3-based c8g.metal-48xl). Major stability and quality improvements include Arc data path cleanup (removing an unnecessary directory level), enhanced JSON escaping in SQL queries, a health-check delay to improve reliability, and logging of error response bodies for easier debugging. The benchmarking workflow now checks for an existing API token before generating a new one, reducing unnecessary token requests and improving error handling when tokens are missing or invalid. Impact: These changes provide more accurate, reproducible benchmarks, broaden hardware coverage for performance validation, reduce operational overhead, and accelerate feedback cycles for optimization. Demonstrated technologies include Go-based tooling, ARM/Graviton3 benchmarking, improved logging and diagnostics, health-check instrumentation, and token-aware automation.
7 Commits • 3 Features
Nov 1, 2025November 2025 (ClickHouse/ClickBench) focused on delivering a more accurate, scalable benchmarking workflow and expanding hardware coverage, while tightening reliability and operational efficiency. Key features delivered include a complete overhaul of the Arc Benchmarking Tool to run a Go-based benchmarking binary with true cold-start measurements (restarting Arc and clearing OS cache) and improved install/logging to support consistent cold runs. The benchmark configuration and results were refreshed across multiple instance types (including c6a.4xlarge, c6a.2xlarge) and expanded to cover ARM/Graviton3 hardware (e.g., Graviton3-based c8g.metal-48xl). Major stability and quality improvements include Arc data path cleanup (removing an unnecessary directory level), enhanced JSON escaping in SQL queries, a health-check delay to improve reliability, and logging of error response bodies for easier debugging. The benchmarking workflow now checks for an existing API token before generating a new one, reducing unnecessary token requests and improving error handling when tokens are missing or invalid. Impact: These changes provide more accurate, reproducible benchmarks, broaden hardware coverage for performance validation, reduce operational overhead, and accelerate feedback cycles for optimization. Demonstrated technologies include Go-based tooling, ARM/Graviton3 benchmarking, improved logging and diagnostics, health-check instrumentation, and token-aware automation.
November 2025
October 2025
20 Commits • 3 Features
Oct 1, 2025October 2025 performance summary for ClickBench (ClickHouse/ClickBench). Delivered end-to-end Arc Benchmark Automation and API-based Benchmark Execution, enabling reproducible, Arc API-driven performance assessments with authentication token management, data loading integrations, environment setup, logging, CPU core auto-detection, and robust error handling. Introduced Arc Values support to extend data handling for arc-specific benchmarking scenarios. Enhanced Benchmark Results Management and Metadata with binary results handling, cleanup of stray artifacts, and time-series tagging to improve traceability and CI feedback. Improved reliability and reproducibility through fixes including token creation, API environment passing, disabling query caching, and data loading/output clarity improvements. These changes collectively accelerate performance validation, reduce manual work, and provide more credible, CI-friendly benchmarks for Arc integration.
October 2025
20 Commits • 3 Features
Oct 1, 2025October 2025 performance summary for ClickBench (ClickHouse/ClickBench). Delivered end-to-end Arc Benchmark Automation and API-based Benchmark Execution, enabling reproducible, Arc API-driven performance assessments with authentication token management, data loading integrations, environment setup, logging, CPU core auto-detection, and robust error handling. Introduced Arc Values support to extend data handling for arc-specific benchmarking scenarios. Enhanced Benchmark Results Management and Metadata with binary results handling, cleanup of stray artifacts, and time-series tagging to improve traceability and CI feedback. Improved reliability and reproducibility through fixes including token creation, API environment passing, disabling query caching, and data loading/output clarity improvements. These changes collectively accelerate performance validation, reduce manual work, and provide more credible, CI-friendly benchmarks for Arc integration.
Activity
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Quality Metrics
Correctness88.8%
Maintainability85.2%
Architecture82.8%
Performance81.8%
AI Usage23.0%
Skills & Technologies
Programming Languages
BashGoJSONMarkdownNonePythonSQLShellbash
Technical Skills
API IntegrationAPI developmentAPI integrationAuthenticationBenchmarkingCI/CDConfiguration ManagementData AnalysisData LoadingData WarehousingDatabase BenchmarkingDatabase ConfigurationDatabase ManagementDevOpsEnvironment Configuration
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