apache/gravitino
Mar 2026 – Mar 2026
1 Month active
Languages Used
GroovyJavaKotlinPythonShell
Technical Skills
API integrationDockerGradleIntegration TestingKotlinSelenium
geyanggang
PROFILE
Geyanggang
Geyanggang contributed to the apache/gravitino project by enhancing cloud storage compatibility and improving build reliability. They developed a StaticCredentials class in Kotlin to support GCS OAuth2 tokens, enabling secure integration with the updated gcsfs library. To address flaky UI tests, Geyanggang introduced retry logic using Selenium and implemented HDFS readiness checks, which stabilized continuous integration results. Their work also included optimizing the Gradle build process by removing unused dependencies and upgrading Jetty, reducing the overall dependency footprint. Through these targeted backend and build automation improvements, Geyanggang delivered deeper reliability and maintainability without introducing user-facing changes.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
5Total
Bugs
2
Commits
5
Features
1
Lines of code
140
Activity Months1
Your Network
131 peopleWork History
March 2026
5 Commits • 1 Features
Mar 1, 2026March 2026: Delivered reliability, cloud-storage compatibility, and build optimizations for apache/gravitino. Key outcomes include GCS credential handling for gcsfs 2026.2.0, stabilized CI/test reliability through UI test retry logic and HDFS readiness checks, and reduced dependency footprint via selective exclusions and a Jetty upgrade. These changes improve CI reliability, cloud storage interoperability, and build performance with no user-facing changes.
5 Commits • 1 Features
Mar 1, 2026March 2026: Delivered reliability, cloud-storage compatibility, and build optimizations for apache/gravitino. Key outcomes include GCS credential handling for gcsfs 2026.2.0, stabilized CI/test reliability through UI test retry logic and HDFS readiness checks, and reduced dependency footprint via selective exclusions and a Jetty upgrade. These changes improve CI reliability, cloud storage interoperability, and build performance with no user-facing changes.
March 2026
Activity
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Quality Metrics
Correctness96.0%
Maintainability92.0%
Architecture92.0%
Performance92.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
GroovyJavaKotlinPythonShell
Technical Skills
API integrationDockerGradleIntegration TestingKotlinSeleniumUI Testingbackend developmentbuild automationcloud storage managementdependency management
Repositories Contributed To
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