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Kris Mok

PROFILE

Kris Mok

Kris Mok addressed a critical serialization issue in the apache/spark repository by removing the Jackson JSON string length limit within the KVStoreScalaSerializer. Working with Scala and Spark, Kris adapted a fix pattern previously applied to JsonProtocol, ensuring that long plan graphs in Spark SQL workloads could be reliably serialized and deserialized when using the Spark History Server with LevelDB or RocksDB KVStores. The solution was validated through manual testing with complex, long-string SQL workloads, maintaining compatibility with existing storage backends. This targeted backend development improved the stability and scalability of Spark SQL, reducing the risk of user-facing serialization failures.

Overall Statistics

Feature vs Bugs

0%Features

Repository Contributions

1Total
Bugs
1
Commits
1
Features
0
Lines of code
5
Activity Months1

Work History

January 2026

1 Commits

Jan 1, 2026

January 2026: Delivered a targeted fix to KVStoreScalaSerializer to remove the Jackson JSON string length limit, preventing failures when serializing long strings in Spark SQL workloads using Spark History Server (SHS) with LevelDB/RocksDB KVStores. The change aligns with prior fixes to JsonProtocol, enabling end-to-end reliability of plan graph serialization and reducing user-impacting errors in large/complex workloads. Verified via manual testing with long-string plan graphs and maintained compatibility with existing SHS KVStores; no user-facing changes introduced. This work enhances stability, scalability, and trust in Spark SQL workloads that rely on long plan graphs.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Scala

Technical Skills

ScalaSparkbackend development

Repositories Contributed To

1 repo

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

apache/spark

Jan 2026 Jan 2026
1 Month active

Languages Used

Scala

Technical Skills

ScalaSparkbackend development