apache/spark
May 2026 – May 2026
1 Month active
Languages Used
Scala
Technical Skills
Apache SparkBig DataData EngineeringScala
Vitalii Li
PROFILE
Vitalii Li
Worked on the apache/spark repository to refactor the DataSourceV2 runtime filter pushdown logic, consolidating it into a reusable helper function to improve modularity and maintainability across physical scan operators. The approach involved encapsulating runtime-filter translation, partition planning, and alignment logic within PushDownUtils.filterAndPlanPartitions, ensuring consistent behavior while preserving all existing user-facing functionality. This Scala-based work in the context of big data and data engineering reduced code duplication and simplified future maintenance, while also laying the groundwork for subsequent performance optimizations in the runtime-filter pipeline. All changes were validated by existing tests, with no user-facing modifications introduced.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
188
Activity Months1
Your Network
733 peopleSame Organization
@databricks.com332
Work History
May 2026
1 Commits • 1 Features
May 1, 2026Month: 2026-05. Key accomplishment: Implemented a refactor for DataSourceV2 runtime filter pushdown in Apache Spark, consolidating the logic into a reusable helper to improve modularity and future reuse across DataSourceV2 physical scan operators. The change encapsulates runtime-filter translation, partition planning, and related alignment logic into PushDownUtils.filterAndPlanPartitions, enabling consistent behavior across multiple scan operators while preserving existing user-facing behavior. Impact: This work reduces duplication, simplifies maintenance, and sets the stage for subsequent performance optimizations in the runtime-filter pipeline. Notes: No user-facing changes were introduced; all existing tests continue to cover behavior. This PR closes #55887 and aligns with SPARK-56868 around a shared v2 runtime-filter helper. Commit reference: 6a855fdce5d2da770646b937c498bd2523e021c8
1 Commits • 1 Features
May 1, 2026Month: 2026-05. Key accomplishment: Implemented a refactor for DataSourceV2 runtime filter pushdown in Apache Spark, consolidating the logic into a reusable helper to improve modularity and future reuse across DataSourceV2 physical scan operators. The change encapsulates runtime-filter translation, partition planning, and related alignment logic into PushDownUtils.filterAndPlanPartitions, enabling consistent behavior across multiple scan operators while preserving existing user-facing behavior. Impact: This work reduces duplication, simplifies maintenance, and sets the stage for subsequent performance optimizations in the runtime-filter pipeline. Notes: No user-facing changes were introduced; all existing tests continue to cover behavior. This PR closes #55887 and aligns with SPARK-56868 around a shared v2 runtime-filter helper. Commit reference: 6a855fdce5d2da770646b937c498bd2523e021c8
May 2026
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance80.0%
AI Usage80.0%
Skills & Technologies
Programming Languages
Scala
Technical Skills
Apache SparkBig DataData EngineeringScala
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