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Xiaoxuan

PROFILE

Xiaoxuan

Xioxuan contributed to both the apache/iceberg and apache/spark repositories, focusing on backend and data processing improvements. Over three months, Xioxuan optimized hashing in Iceberg by refactoring BucketUtil and BucketFunction to operate directly on UTF-8 bytes, reducing CPU and memory overhead for large data workloads using Java and performance testing. In Spark, Xioxuan addressed Unicode handling in SQL LIKE patterns, improved numerical accuracy for math functions, and enhanced configuration export and JSON formatting features, leveraging Scala, Python, and SQL. The work demonstrated depth in algorithm optimization, robust exception handling, and comprehensive test coverage to ensure correctness and maintainability.

Overall Statistics

Feature vs Bugs

67%Features

Repository Contributions

6Total
Bugs
2
Commits
6
Features
4
Lines of code
488
Activity Months3

Work History

March 2026

4 Commits • 3 Features

Mar 1, 2026

March 2026 performance highlights for the apache/spark project. Delivered four focused improvements across Spark SQL, numeric functions, configuration management, and JSON formatting, with expanded test coverage to validate cross-engine correctness and reproducibility. The work emphasizes business value through correctness, consistency, and easier environment replication.

May 2025

1 Commits

May 1, 2025

2025-05 monthly summary for apache/iceberg. Delivered a robustness improvement for Iceberg Writer cleanup that prevents job failures caused by deleting empty files. The change introduces targeted exception handling via the Tasks API and logs warnings instead of failing the job, improving pipeline reliability and observability.

March 2025

1 Commits • 1 Features

Mar 1, 2025

March 2025 focused on performance-driven hashing optimization in Apache Iceberg. Delivered direct UTF-8 byte hashing by refactoring hashing paths to operate on raw bytes instead of intermediate strings. Implemented BucketUtil.hash(byte[] value) and updated BucketFunction to utilize it, accompanied by a new regression/performance test to verify consistency and quantify benefits. The work aligns with the commit Spark, API: Enhance hashing efficiency by operating on raw UTF-8 bytes (#12657).

Activity

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Quality Metrics

Correctness98.4%
Maintainability83.4%
Architecture86.6%
Performance83.4%
AI Usage60.0%

Skills & Technologies

Programming Languages

JavaJavaScriptPythonScala

Technical Skills

API DevelopmentCore JavaData ProcessingException HandlingFile I/OHashing AlgorithmsJavaScriptLoggingPerformance OptimizationPythonRegexSQLScalaSparkUI design

Repositories Contributed To

2 repos

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

apache/spark

Mar 2026 Mar 2026
1 Month active

Languages Used

JavaScriptPythonScala

Technical Skills

Data ProcessingJavaScriptPythonRegexSQLScala

apache/iceberg

Mar 2025 May 2025
2 Months active

Languages Used

Java

Technical Skills

API DevelopmentHashing AlgorithmsPerformance OptimizationCore JavaException HandlingFile I/O