EXCEEDS logo
Exceeds
Akshat Mathur

PROFILE

Akshat Mathur

Akshata worked on the apache/hive repository to deliver JDK 17 compatibility for Apache Hive, focusing on both compile-time and runtime readiness. She updated build configurations and introduced necessary --add-opens flags for HADOOP_CLIENT_OPTS, ensuring the platform could operate seamlessly with Java 17. Her work extended to aligning CI/CD pipelines, Docker images, and runtime scripts with the new JDK requirements, using technologies such as Docker, Java, and Shell scripting. This effort established a foundation for ongoing Java modernization, reducing future maintenance risks and enabling downstream users to adopt Java 17 more smoothly across diverse deployment environments.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
5,093
Activity Months1

Work History

May 2025

1 Commits • 1 Features

May 1, 2025

Monthly Summary for 2025-05: Apache Hive delivery focused on Java 17 readiness. Implemented Hive JDK 17 compatibility across compile and runtime by updating build configurations and adding necessary --add-opens for HADOOP_CLIENT_OPTS. Aligned CI/CD pipelines, Docker images, and runtime scripts with JDK 17 requirements to ensure consistent deployments across environments. Commit reference: 413069ea0faeb893fe78faa215b08a70ece80595 (HIVE-26473: Hive JDK-17 support for compile and runtime (#5404)).

Activity

Loading activity data...

Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

DockerfileJavaShell

Technical Skills

Build AutomationCI/CDDockerJDK 17 CompatibilityJava Refactoring

Repositories Contributed To

1 repo

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

apache/hive

May 2025 May 2025
1 Month active

Languages Used

DockerfileJavaShell

Technical Skills

Build AutomationCI/CDDockerJDK 17 CompatibilityJava Refactoring

Generated by Exceeds AIThis report is designed for sharing and indexing