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Utkarsh

PROFILE

Utkarsh

Worked on the xupefei/spark repository to deliver a targeted memory optimization for Apache Spark’s query planning with wide schemas. Addressed SPARK-50229 by modifying the QueryPlan logic, replacing lazy val with def for AttributeReferences to reduce unnecessary object retention and lower memory pressure during the logical planning phase. This approach improved planning speed and reduced driver memory usage, directly enhancing scalability for large production workloads. The work was implemented using Scala and focused on backend development, demonstrating a deep understanding of Spark’s internals and memory management. No bugs were fixed during this period, with efforts concentrated on this feature enhancement.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
21
Activity Months1

Work History

November 2024

1 Commits • 1 Features

Nov 1, 2024

Month: 2024-11. Delivered a focused memory optimization in Spark to improve planning performance for wide schemas. Implemented a change in QueryPlan that reduces memory pressure by switching AttributeReferences from lazy val to def, preventing unnecessary copies and lowering object lifetimes. This address SPARK-50229 and yields faster planning with lower resource usage for large schemas, improving scalability in production workloads.

Activity

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Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

Scala

Technical Skills

Apache SparkScalabackend development

Repositories Contributed To

1 repo

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

xupefei/spark

Nov 2024 Nov 2024
1 Month active

Languages Used

Scala

Technical Skills

Apache SparkScalabackend development