apache/datafusion-comet
Jun 2025 – Sep 2025
4 Months active
Languages Used
ProtobufRustScalaJavaMarkdown
Technical Skills
Data EngineeringDistributed SystemsExpression EvaluationRandom Number GenerationRust ProgrammingScala Programming
Artem Kupchinskiy
PROFILE
Artem Kupchinskiy
Andrey Kupchinskiy contributed to the apache/datafusion-comet repository by developing and integrating advanced query features and improving test reliability over four months. He implemented random number generation expressions, including rand and randn, using Rust and Scala, and ensured their integration with Spark and protocol buffers. Andrey enhanced execution planning by adding OFFSET support in LIMIT operations and strengthened adaptive query execution with robust broadcast join testing. His work included detailed documentation updates and environment setup guidance, supporting both contributors and CI/CD stability. Through test-driven development and cross-language updates, he delivered features that improved analytical capabilities and reliability in distributed data processing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
7
Lines of code
2,120
Activity Months4
Your Network
49 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Focused on strengthening broadcast join reliability in adaptive query execution (AQE) paths for apache/datafusion-comet. Added end-to-end test coverage to guard against failures when ReusedExchange is used with broadcasts across tables of differing partition counts. The test confirms ReusedExchangeExec is selected and operates without errors, reducing production risk in distributed query plans.
1 Commits • 1 Features
Sep 1, 2025September 2025: Focused on strengthening broadcast join reliability in adaptive query execution (AQE) paths for apache/datafusion-comet. Added end-to-end test coverage to guard against failures when ReusedExchange is used with broadcasts across tables of differing partition counts. The test confirms ReusedExchangeExec is selected and operates without errors, reducing production risk in distributed query plans.
September 2025
August 2025
2 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 highlighting two core contributions to the apache/datafusion-comet integration, with a focus on testing reliability and Spark plan alignment. Plan stability testing documentation and environment guidance now clarifies contributor setup and exports COMET_PARQUET_SCAN_IMPL=native_comet to ensure tests run against the native Comet implementation. OFFSET support in LIMIT across Spark execution plans has been implemented, including updates to the planner, execution rules, and serialization logic, accompanied by tests validating the new functionality. These changes improve test reliability, feature parity with Spark, and overall stability for end users.
August 2025
2 Commits • 2 Features
Aug 1, 2025Monthly summary for 2025-08 highlighting two core contributions to the apache/datafusion-comet integration, with a focus on testing reliability and Spark plan alignment. Plan stability testing documentation and environment guidance now clarifies contributor setup and exports COMET_PARQUET_SCAN_IMPL=native_comet to ensure tests run against the native Comet implementation. OFFSET support in LIMIT across Spark execution plans has been implemented, including updates to the planner, execution rules, and serialization logic, accompanied by tests validating the new functionality. These changes improve test reliability, feature parity with Spark, and overall stability for end users.
July 2025
3 Commits • 3 Features
Jul 1, 20252025-07 monthly summary for apache/datafusion-comet focusing on delivered features, quality improvements, and business impact.
3 Commits • 3 Features
Jul 1, 20252025-07 monthly summary for apache/datafusion-comet focusing on delivered features, quality improvements, and business impact.
July 2025
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for apache/datafusion-comet: Delivered Rand expression support with XOR-shift RNG, integrated into the physical planner, and updated proto definitions and Spark integration to handle the new expression. This work expands analytical capabilities and supports randomized data generation within queries, aligning with DataFusion roadmap and enhancing interoperability with Spark pipelines. Commit referenced: d72e54c2a4283465c2ea1f6af2417fd25fac896e.
June 2025
1 Commits • 1 Features
Jun 1, 2025June 2025 monthly summary for apache/datafusion-comet: Delivered Rand expression support with XOR-shift RNG, integrated into the physical planner, and updated proto definitions and Spark integration to handle the new expression. This work expands analytical capabilities and supports randomized data generation within queries, aligning with DataFusion roadmap and enhancing interoperability with Spark pipelines. Commit referenced: d72e54c2a4283465c2ea1f6af2417fd25fac896e.
Activity
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Quality Metrics
Correctness97.2%
Maintainability91.4%
Architecture94.2%
Performance88.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaMarkdownProtobufRustScala
Technical Skills
Code GenerationData EngineeringData ProcessingDataFramesDistributed SystemsDocumentationExecution PlanningExpression EvaluationJavaProtocol BuffersQuery OptimizationRandom Number GenerationRustRust ProgrammingSQL
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