apache/amoro
Dec 2025 – Dec 2025
1 Month active
Languages Used
Java
Technical Skills
Javabackend developmentdatabase managementhigh availability systemsprocess managementscheduling algorithms
LiangDai-Mars
PROFILE
Liangdai-mars
During December 2025, contributed to the apache/amoro repository by developing two core backend features focused on reliability and scalability. Built a Process Scheduling Framework for the Process Service, refactoring the existing table process logic and introducing targeted optimizations and expanded test coverage to improve throughput and maintainability. Also implemented a Database High Availability Service with Leader Election, enabling automatic failover and continuous uptime through configurable HA types, heartbeat intervals, and a management container for lease and leadership state handling. Leveraged Java, backend development, and database management skills to reduce downtime risk and establish a foundation for future scaling needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
5,041
Activity Months1
Your Network
60 peopleWork History
December 2025
2 Commits • 2 Features
Dec 1, 2025December 2025 — Apache/amoro: Delivered two high-value capabilities that boost reliability, scalability, and operational uptime. Key features include a new Process Scheduling Framework for the Process Service, with core framework refactor and added tests, and a Database High Availability (HA) Service with Leader Election to ensure automatic failover and continuous uptime. The work included targeted optimizations of the process framework, expanded test coverage, and the introduction of configurable HA types, heartbeat intervals, and a management container to handle leases and leadership states. These changes reduce downtime risk, improve throughput under load, and lay groundwork for future scaling.
2 Commits • 2 Features
Dec 1, 2025December 2025 — Apache/amoro: Delivered two high-value capabilities that boost reliability, scalability, and operational uptime. Key features include a new Process Scheduling Framework for the Process Service, with core framework refactor and added tests, and a Database High Availability (HA) Service with Leader Election to ensure automatic failover and continuous uptime. The work included targeted optimizations of the process framework, expanded test coverage, and the introduction of configurable HA types, heartbeat intervals, and a management container to handle leases and leadership states. These changes reduce downtime risk, improve throughput under load, and lay groundwork for future scaling.
December 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
Java
Technical Skills
Javabackend developmentdatabase managementhigh availability systemsprocess managementscheduling algorithms
Repositories Contributed To
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