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
Over four months, contributed to apache/datafusion-comet by building and integrating advanced query features and improving reliability in distributed data processing. Developed support for random number generation expressions, including both uniform and normal distributions, using Rust and Scala, and ensured seamless integration with Spark and protocol buffers. Enhanced execution planning by implementing OFFSET in LIMIT operations and strengthened test coverage for adaptive query execution, particularly around broadcast joins with varying partition counts. Updated documentation to guide contributors on environment setup and testing practices, emphasizing reproducibility and CI/CD reliability. Focused on robust, test-driven development to align with Spark’s evolving execution model.
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
64 peopleWork 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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