apache/jackrabbit-oak
Oct 2024 – Feb 2025
3 Months active
Languages Used
JavaSQLXMLBashShell
Technical Skills
Backend DevelopmentBug FixingDatabase ManagementJavaJava DevelopmentTesting
Jose Cordero
PROFILE
Jose Cordero
Over three months, contributed to the apache/jackrabbit-oak repository by building and refining core backend features focused on storage, indexing, and performance. Delivered automated benchmarking scripts using Bash and Java to streamline performance testing and regression detection across Oak versions. Enhanced Version Garbage Collection by improving timestamp precision and query accuracy, while also optimizing Lucene indexing and caching strategies to accelerate property lookups and reduce costly scans. Addressed stability by expanding test coverage, refactoring code, and stabilizing CI and release processes. The work emphasized robust database management, build automation, and performance optimization, resulting in more reliable and maintainable backend infrastructure.
Overall Statistics
Feature vs Bugs
57%Features
Repository Contributions
15Total
Bugs
3
Commits
15
Features
4
Lines of code
2,020
Activity Months3
Your Network
488 peopleSame Organization
@adobe.com451
Shared Repositories
37
Work History
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 — Apache Jackrabbit Oak: Delivered an automated performance benchmarking workflow that downloads, builds, runs, and compares performance across Oak versions. The script outputs detailed reports and logs, enabling rapid detection of regressions and informed version decisions. This work establishes a repeatable benchmark process with measurable business impact for performance governance and faster decision cycles.
1 Commits • 1 Features
Feb 1, 2025February 2025 — Apache Jackrabbit Oak: Delivered an automated performance benchmarking workflow that downloads, builds, runs, and compares performance across Oak versions. The script outputs detailed reports and logs, enabling rapid detection of regressions and informed version decisions. This work establishes a repeatable benchmark process with measurable business impact for performance governance and faster decision cycles.
February 2025
November 2024
9 Commits • 2 Features
Nov 1, 2024November 2024 highlights for apache/jackrabbit-oak focused on correctness, stability, and performance improvements in core storage and indexing layers. The team delivered precise time-based filtering in Version Garbage Collection, re-applied and stabilized a high-impact Lucene cost estimation speed-up with expanded test coverage, and reintroduced a PrevNoProp cache to accelerate non-existent-property lookups. Concurrently, test infrastructure and release processes were stabilized to reduce flaky tests and restore CI/release reliability, ensuring smoother rollouts and fewer incident-associated delays.
November 2024
9 Commits • 2 Features
Nov 1, 2024November 2024 highlights for apache/jackrabbit-oak focused on correctness, stability, and performance improvements in core storage and indexing layers. The team delivered precise time-based filtering in Version Garbage Collection, re-applied and stabilized a high-impact Lucene cost estimation speed-up with expanded test coverage, and reintroduced a PrevNoProp cache to accelerate non-existent-property lookups. Concurrently, test infrastructure and release processes were stabilized to reduce flaky tests and restore CI/release reliability, ensuring smoother rollouts and fewer incident-associated delays.
October 2024
5 Commits • 1 Features
Oct 1, 2024Month 2024-10: Focused on stabilizing Version GC (modified-document) queries and expanding edge-case test coverage for getModifiedDocs in the apache/jackrabbit-oak repo. Delivered precision improvements to modified-document queries, improved test coverage, and ongoing experimentation to stabilize behavior across timestamp- and ID-based filtering.
5 Commits • 1 Features
Oct 1, 2024Month 2024-10: Focused on stabilizing Version GC (modified-document) queries and expanding edge-case test coverage for getModifiedDocs in the apache/jackrabbit-oak repo. Delivered precision improvements to modified-document queries, improved test coverage, and ongoing experimentation to stabilize behavior across timestamp- and ID-based filtering.
October 2024
Activity
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Quality Metrics
Correctness83.4%
Maintainability84.0%
Architecture79.2%
Performance75.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
BashJavaSQLShellXML
Technical Skills
Backend DevelopmentBug FixingBuild AutomationCI/CDCaching StrategiesCode RefactoringDatabase ManagementDockerJavaJava DevelopmentLucene IndexingPerformance OptimizationPerformance TestingQuery OptimizationRelease Management
Repositories Contributed To
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