ClickHouse/ClickBench
Mar 2025 – Mar 2025
1 Month active
Languages Used
BashMarkdownSQL
Technical Skills
Data EngineeringDatabase ManagementDocumentationPerformance TestingPostgreSQLSQL Querying
Alexey Gordeev
PROFILE
Alexey Gordeev
Developed and delivered a multi-format Postgres extension for the ClickBench repository, enabling seamless data ingestion and benchmarking across Parquet and Feather formats. Leveraging SQL and Bash, the work included setup scripts, table creation definitions, and a benchmarking script to support multiple storage managers and execution engines. Addressed schema robustness by refining SQL scripts for improved parser compatibility, and enhanced documentation to clarify testing environments and output formatting. The focus on data engineering and database management resulted in more reliable, reproducible performance testing workflows, supporting faster evaluation of configuration changes and clearer results for diverse database configurations within the ClickBench project.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
5Total
Bugs
1
Commits
5
Features
2
Lines of code
1,855
Activity Months1
Your Network
84 peopleSame Organization
@postgrespro.ru3
Shared Repositories
81
Work History
March 2025
5 Commits • 2 Features
Mar 1, 2025March 2025 performance highlights for ClickBench: Expanded data-format interoperability and testing capabilities, delivering a multi-format Postgres extension and targeted documentation improvements that boost reliability and reproducibility. The work focuses on business value by enabling flexible data ingestion/format options, streamlined testing, and clearer results for performance evaluation across configurations.
5 Commits • 2 Features
Mar 1, 2025March 2025 performance highlights for ClickBench: Expanded data-format interoperability and testing capabilities, delivering a multi-format Postgres extension and targeted documentation improvements that boost reliability and reproducibility. The work focuses on business value by enabling flexible data ingestion/format options, streamlined testing, and clearer results for performance evaluation across configurations.
March 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability88.0%
Architecture82.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashMarkdownSQL
Technical Skills
Data EngineeringDatabase ManagementDocumentationPerformance TestingPostgreSQLSQL QueryingSQL ScriptingShell Scripting
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