apache/pinot
May 2025 – Jun 2025
2 Months active
Languages Used
Java
Technical Skills
Backend DevelopmentData StructuresPerformance TuningQuery OptimizationDatabase Optimization
Anand Kr Shaw
PROFILE
Anand Kr Shaw
Anand Shaw contributed to apache/pinot by developing and refining GROUP BY aggregation features to improve analytics accuracy and reliability. He implemented the accurateGroupByWithoutOrderBy option, ensuring correct GROUP BY results even when ORDER BY is absent, and introduced the DeterministicConcurrentIndexedTable to enhance aggregation correctness in targeted query scenarios. Anand’s work involved backend development and performance tuning in Java, with a focus on data structures and query optimization. He also addressed a stability issue in GROUP BY upsert handling, modifying the upsertWithoutOrderBy logic to ensure correct insert and update behavior under map size constraints, demonstrating thoughtful, targeted engineering depth.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
498
Activity Months2
Your Network
98 peopleWork History
June 2025
1 Commits
Jun 1, 2025June 2025 (apache/pinot) – Stability fix for GROUP BY upsert handling when map is full. The upsertWithoutOrderBy path now checks for map.containsKey(key) in the initial condition, allowing updates to existing keys when the result-set size limit is reached, ensuring correct insert/update behavior. Linked to commit 6b475b7d4bd97302eb3ecf6d5e892c46c219e44c (Fix GROUP BY-Only Processing with accurateGroupByWithoutOrderBy (#15966)).
1 Commits
Jun 1, 2025June 2025 (apache/pinot) – Stability fix for GROUP BY upsert handling when map is full. The upsertWithoutOrderBy path now checks for map.containsKey(key) in the initial condition, allowing updates to existing keys when the result-set size limit is reached, ensuring correct insert/update behavior. Linked to commit 6b475b7d4bd97302eb3ecf6d5e892c46c219e44c (Fix GROUP BY-Only Processing with accurateGroupByWithoutOrderBy (#15966)).
June 2025
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary for apache/pinot focusing on aggregation correctness and deterministic indexing. Delivered the accurateGroupByWithoutOrderBy feature to ensure correct GROUP BY results when ORDER BY is absent, and introduced DeterministicConcurrentIndexedTable with integration into the query context and planner to improve aggregation correctness in targeted query scenarios. These changes enhance analytics accuracy, reliability of BI dashboards, and predictability of query results.
May 2025
1 Commits • 1 Features
May 1, 2025May 2025 performance summary for apache/pinot focusing on aggregation correctness and deterministic indexing. Delivered the accurateGroupByWithoutOrderBy feature to ensure correct GROUP BY results when ORDER BY is absent, and introduced DeterministicConcurrentIndexedTable with integration into the query context and planner to improve aggregation correctness in targeted query scenarios. These changes enhance analytics accuracy, reliability of BI dashboards, and predictability of query results.
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Backend DevelopmentData StructuresDatabase OptimizationPerformance TuningQuery Optimization
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