apache/spark
Mar 2026 – Mar 2026
1 Month active
Languages Used
Scala
Technical Skills
Apache SparkScalabackend developmentdata processing
Xin Huang
PROFILE
Xin Huang
Xin Huang developed a DSv2 statistics conversion utility for the apache/spark repository, enabling Spark’s DataSourceV2 connectors to leverage legacy V1 CatalogStatistics. Working primarily in Scala, Xin designed the solution to translate V1 catalog and column statistics into the V2 format, mirroring existing V2-to-V1 logic while decoupling dependencies between catalog classes and DSv2 interfaces. This approach improved backward compatibility and reduced maintenance complexity for connector developers. Comprehensive unit tests validated the correctness of size, row count, and per-column statistics, including histogram round-trips. Xin’s work demonstrated a deep understanding of Spark SQL internals, backend development, and data processing.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
185
Activity Months1
Your Network
586 peopleSame Organization
@databricks.com262
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 highlights for apache/spark development. Focused on DSv2 compatibility and internal statistics utilities. Delivered a DSv2 statistics conversion utility that translates V1 CatalogStatistics (and CatalogColumnStat) into V2 Statistics (and ColumnStatistics), enabling Spark DSv2 connectors to utilize legacy catalog stats. Implemented parallel to the existing V2↔V1 conversion logic to decouple V1 catalog classes from DSv2 interfaces, minimizing dependency cycles. Tests added to validate end-to-end correctness and histograms, with no user-facing API changes. Business value: improved backward compatibility, more accurate statistics-driven optimizations, and reduced maintenance for connector developers. Technologies/skills: Scala, Spark SQL internals, DataSourceV2 API, statistics modeling, unit testing.
1 Commits • 1 Features
Mar 1, 2026March 2026 highlights for apache/spark development. Focused on DSv2 compatibility and internal statistics utilities. Delivered a DSv2 statistics conversion utility that translates V1 CatalogStatistics (and CatalogColumnStat) into V2 Statistics (and ColumnStatistics), enabling Spark DSv2 connectors to utilize legacy catalog stats. Implemented parallel to the existing V2↔V1 conversion logic to decouple V1 catalog classes from DSv2 interfaces, minimizing dependency cycles. Tests added to validate end-to-end correctness and histograms, with no user-facing API changes. Business value: improved backward compatibility, more accurate statistics-driven optimizations, and reduced maintenance for connector developers. Technologies/skills: Scala, Spark SQL internals, DataSourceV2 API, statistics modeling, unit testing.
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Scala
Technical Skills
Apache SparkScalabackend developmentdata processing
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