
During January 2025, Zhou developed a Docker-based PostgreSQL benchmarking environment for the ClickHouse/ClickBench repository, focusing on the PgMooncake benchmarking suite. Zhou’s work involved scripting automated dataset loading and designing a representative suite of SQL queries to measure PostgreSQL performance under various workloads. By refining the Docker workflow and integrating cache-clearing and timing instrumentation, Zhou ensured benchmark runs were both consistent and accurate. The project leveraged Bash, SQL, and shell scripting to streamline setup and improve maintainability, with comprehensive documentation added throughout. This work provided a robust, reproducible framework for performance testing, addressing reliability and clarity in database benchmarking processes.

January 2025 monthly summary for ClickBench focusing on PgMooncake PostgreSQL benchmarking. Delivered a Docker-based benchmarking environment, dataset loading, and a representative SQL query suite to measure PostgreSQL performance. Improved stability and reliability through streamlined setup, added timing, and cache-clearing to ensure accurate benchmarks.
January 2025 monthly summary for ClickBench focusing on PgMooncake PostgreSQL benchmarking. Delivered a Docker-based benchmarking environment, dataset loading, and a representative SQL query suite to measure PostgreSQL performance. Improved stability and reliability through streamlined setup, added timing, and cache-clearing to ensure accurate benchmarks.
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