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jameswillis

PROFILE

Jameswillis

Worked on the apache/spark repository to enhance data compatibility and maintain backward compatibility across Spark versions. Addressed Scala UDF support in Spark 4 by restoring Seq[Row] input handling, aligning behavior with Spark 3.5 to reduce upgrade friction for Scala users. Improved Spark SQL’s handling of UserDefinedTypes in columnar data sources by updating columnar getter methods, preventing runtime errors and enabling broader schema support. Expanded unit test coverage to validate these changes and ensure regression safety. Demonstrated expertise in Java, Scala, and Spark, with a focus on data processing, version compatibility, and robust open-source contribution workflows.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

2Total
Bugs
2
Commits
2
Features
0
Lines of code
150
Activity Months2

Work History

May 2026

1 Commits

May 1, 2026

May 2026 monthly summary focusing on key accomplishments, business value, and technical achievements for the apache/spark repository. The main focus was expanding support for UserDefinedTypes (UDTs) in columnar getters to improve data compatibility and reliability across evaluated paths (codegen and interpreted).

November 2025

1 Commits

Nov 1, 2025

November 2025: Focused on preserving backward compatibility for Scala UDFs in Spark 4, with a targeted fix to restore Seq[Row] input support and align behavior with Spark 3.5 to ease upgrades for Scala UDF users.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage80.0%

Skills & Technologies

Programming Languages

JavaScala

Technical Skills

Data ProcessingJavaScalaSparkUnit Testingbig datadata processing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

apache/spark

Nov 2025 May 2026
2 Months active

Languages Used

ScalaJava

Technical Skills

Data ProcessingScalaSparkUnit TestingJavabig data