
Worked on the pinterest/starrocks repository to enhance data skew detection within the GroupByCountDistinctDataSkewEliminateRule, introducing a configurable row percentage threshold to guide optimization decisions based on statistical distribution. Applied statistical modeling and data analysis to refine how skew is inferred from data, enabling more accurate and timely tuning of execution plans for skewed datasets. Leveraged Java programming and SQL optimization skills to implement threshold-based heuristics, improving resource efficiency and predictability in large-scale query workloads. Maintained clear traceability by linking changes to a specific commit and issue, demonstrating a focus on maintainable code and collaborative development practices throughout the project.
Month: 2025-12 | Repository: pinterest/starrocks Key features delivered and enhancements: - Data Skew Detection Threshold Enhancement in GroupByCountDistinctDataSkewEliminateRule: Introduced a new data skew row percentage threshold to guide optimization decisions based on statistical distribution, enabling more accurate and timely tuning of execution plans for skewed data sets. Major bugs fixed: - No major bug fixes reported for this month in the provided data. Overall impact and accomplishments: - Improved performance resolution for skewed data patterns by refining skew detection heuristics, contributing to more efficient resource usage and more predictable query performance in large-scale starrocks workloads. - Strengthened traceability and accountability through a clear commit reference and alignment with issue #66640. Technologies/skills demonstrated: - Statistical analysis and data profiling to infer data skew. - Threshold-based heuristics for optimization decision-making. - Code instrumentation and maintainability, with documented and traceable commits. - Collaboration and traceability practices (commit reference and issue linkage).
Month: 2025-12 | Repository: pinterest/starrocks Key features delivered and enhancements: - Data Skew Detection Threshold Enhancement in GroupByCountDistinctDataSkewEliminateRule: Introduced a new data skew row percentage threshold to guide optimization decisions based on statistical distribution, enabling more accurate and timely tuning of execution plans for skewed data sets. Major bugs fixed: - No major bug fixes reported for this month in the provided data. Overall impact and accomplishments: - Improved performance resolution for skewed data patterns by refining skew detection heuristics, contributing to more efficient resource usage and more predictable query performance in large-scale starrocks workloads. - Strengthened traceability and accountability through a clear commit reference and alignment with issue #66640. Technologies/skills demonstrated: - Statistical analysis and data profiling to infer data skew. - Threshold-based heuristics for optimization decision-making. - Code instrumentation and maintainability, with documented and traceable commits. - Collaboration and traceability practices (commit reference and issue linkage).

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