elastic/elasticsearch
May 2026 – Jun 2026
2 Months active
Languages Used
JavaYAML
Technical Skills
Javabackend developmentdata processingerror handlingquery languagestest-driven development
Amir Pouya Aghasadeghi
PROFILE
Amir Pouya Aghasadeghi
Worked on the elastic/elasticsearch repository over two months, focusing on backend enhancements and query optimization for ES|QL. Improved the reliability of geo-decay scoring by correcting geo_point origin ordering and expanding support for unsigned_long data types in decay functions, using Java and YAML for implementation and documentation updates. Enhanced test coverage and error handling across multiple query scenarios to strengthen robustness and reduce risk. Optimized ES|QL pre-analysis by integrating inference ID collection into the PreAnalyzer traversal, eliminating redundant plan walks and reducing CPU overhead. These changes improved query planning latency and scalability, reflecting a methodical, test-driven approach to backend development.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
4Total
Bugs
1
Commits
4
Features
2
Lines of code
1,694
Activity Months2
Your Network
748 peopleWork History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for elastic/elasticsearch focusing on performance and architectural improvements in ES|QL pre-analysis. Delivered ES|QL Pre-analysis Inference ID Collection Optimization by piggybacking inference ID collection on the existing PreAnalyzer traversal, removing a separate plan walk and reducing fixed costs on the planner hot path for inference-free queries. This change significantly lowers CPU overhead, improves query planning latency, and enhances scalability across large clusters.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for elastic/elasticsearch focusing on performance and architectural improvements in ES|QL pre-analysis. Delivered ES|QL Pre-analysis Inference ID Collection Optimization by piggybacking inference ID collection on the existing PreAnalyzer traversal, removing a separate plan walk and reducing fixed costs on the planner hot path for inference-free queries. This change significantly lowers CPU overhead, improves query planning latency, and enhances scalability across large clusters.
June 2026
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for elastic/elasticsearch: focused on improving geo-decay scoring reliability and expanding numeric type support in ES|QL. Delivered targeted bug fixes, feature enhancements, and strengthened test coverage to reduce risk and improve user-facing reliability.
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 monthly summary for elastic/elasticsearch: focused on improving geo-decay scoring reliability and expanding numeric type support in ES|QL. Delivered targeted bug fixes, feature enhancements, and strengthened test coverage to reduce risk and improve user-facing reliability.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance85.0%
AI Usage30.0%
Skills & Technologies
Programming Languages
JavaYAML
Technical Skills
ElasticsearchJavabackend developmentdata processingerror handlingquery languagesquery optimizationtest-driven developmenttestingunit testing
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