
Feiyang Li developed core features for the apache/iceberg-cpp repository, focusing on REST-based catalog management, metadata handling, and cross-platform reliability. Over seven months, he engineered REST APIs for table and namespace operations, implemented transactional table creation, and enhanced snapshot loading flexibility to optimize data retrieval. His work included refactoring JSON utilities, improving type safety in partition schemas, and integrating Arrow for data interoperability. Using C++, CMake, and Python, Feiyang emphasized code organization, test coverage, and automation, resulting in a maintainable, scalable codebase. His contributions addressed deployment readiness, reduced operational overhead, and improved data governance for Iceberg users.
March 2026 monthly summary for apache/iceberg-cpp: Delivered REST Catalog Snapshot Loading Mode (ALL/REFS), enabling clients to control how snapshots are loaded and improving data retrieval flexibility. Commit 4db7c67ecb624bdbf18a71d24ee5947bab70d792 implemented the feature. This work reduces unnecessary data transfer for large datasets and enhances performance for REST-based data access. The feature demonstrates proficiency in REST API design, C++ codebase, and Iceberg snapshot semantics, contributing to stronger product scalability and customer value.
March 2026 monthly summary for apache/iceberg-cpp: Delivered REST Catalog Snapshot Loading Mode (ALL/REFS), enabling clients to control how snapshots are loaded and improving data retrieval flexibility. Commit 4db7c67ecb624bdbf18a71d24ee5947bab70d792 implemented the feature. This work reduces unnecessary data transfer for large datasets and enhances performance for REST-based data access. The feature demonstrates proficiency in REST API design, C++ codebase, and Iceberg snapshot semantics, contributing to stronger product scalability and customer value.
January 2026 monthly performance summary focusing on delivered features, bug fixes, business impact, and technical excellence across apache/iceberg-cpp and apache/iceberg. Key business/technical outcomes: - Faster, more reliable REST-based table management and catalog operations, with improved HTTP client performance via connection pooling, reducing latency for common operations like load, drop, list, and update properties. - Safer table provisioning in REST catalog through a transactional staging flow (StageCreateTable) for table creation, reducing risk of partial or inconsistent creates. - Enhanced Iceberg core capabilities for data lifecycle: support for updating table base location, current/rollback snapshot management, and statistics for tables and partitions to optimize data governance and query planning. - Improved data ingestion and metadata handling with JSON deserialization support for SortOrder and PartitionSpec, enabling robust object construction from JSON data. - Maintenance, quality, and documentation improvements including CPR dependency upgrade to 1.14.1 and test/format refinements, plus documentation noting the C++ library status in Iceberg. Overall impact: These contributions deliver measurable business value through faster REST operations, safer table management workflows, improved data lifecycle governance, and stronger maintainability and documentation for stakeholders.
January 2026 monthly performance summary focusing on delivered features, bug fixes, business impact, and technical excellence across apache/iceberg-cpp and apache/iceberg. Key business/technical outcomes: - Faster, more reliable REST-based table management and catalog operations, with improved HTTP client performance via connection pooling, reducing latency for common operations like load, drop, list, and update properties. - Safer table provisioning in REST catalog through a transactional staging flow (StageCreateTable) for table creation, reducing risk of partial or inconsistent creates. - Enhanced Iceberg core capabilities for data lifecycle: support for updating table base location, current/rollback snapshot management, and statistics for tables and partitions to optimize data governance and query planning. - Improved data ingestion and metadata handling with JSON deserialization support for SortOrder and PartitionSpec, enabling robust object construction from JSON data. - Maintenance, quality, and documentation improvements including CPR dependency upgrade to 1.14.1 and test/format refinements, plus documentation noting the C++ library status in Iceberg. Overall impact: These contributions deliver measurable business value through faster REST operations, safer table management workflows, improved data lifecycle governance, and stronger maintainability and documentation for stakeholders.
Month 2025-12 — Delivered a REST-first refresh of the Iceberg C++ catalog, expanding REST APIs for catalog tables, namespaces, and endpoints, with a strong emphasis on automation, reliability, and maintainability. The work enables programmatic control of catalogs, improves deployment and integration readiness, and reduces manual operational overhead for customers.
Month 2025-12 — Delivered a REST-first refresh of the Iceberg C++ catalog, expanding REST APIs for catalog tables, namespaces, and endpoints, with a strong emphasis on automation, reliability, and maintainability. The work enables programmatic control of catalogs, improves deployment and integration readiness, and reduces manual operational overhead for customers.
November 2025 (apache/iceberg-cpp) delivered foundational REST catalog scaffolding and large-scale feature enrichments that improve API robustness, type-safety, and maintainability. The work emphasizes business value through robust REST interactions, safer partition handling, and a scalable, ergonomic C++ client foundation, alongside targeted dependency upgrades and test improvements to boost stability and future velocity.
November 2025 (apache/iceberg-cpp) delivered foundational REST catalog scaffolding and large-scale feature enrichments that improve API robustness, type-safety, and maintainability. The work emphasizes business value through robust REST interactions, safer partition handling, and a scalable, ergonomic C++ client foundation, alongside targeted dependency upgrades and test improvements to boost stability and future velocity.
October 2025 monthly summary for apache/iceberg-cpp. Delivered foundational work across JSON utilities, literal type system enhancements, and REST catalog groundwork. Focused on code reuse, correctness, test coverage, and enabling REST-based catalog access to accelerate feature delivery while aligning with Java semantics for literals.
October 2025 monthly summary for apache/iceberg-cpp. Delivered foundational work across JSON utilities, literal type system enhancements, and REST catalog groundwork. Focused on code reuse, correctness, test coverage, and enabling REST-based catalog access to accelerate feature delivery while aligning with Java semantics for literals.
September 2025 — apache/iceberg-cpp: Delivered impactful cross-platform enhancements and release improvements that strengthen reliability, speed, and interoperability, with a focus on business value and technical excellence. Key deliverables include endianness conversion utilities with platform tests; a comprehensive release automation system with scripts and a GitHub Actions workflow; a Windows CI fail-fast strategy to accelerate debugging and reduce CI waste; compile-time versioning and licensing metadata aligned with ASF guidelines; and Arrow integration with REST catalog client support via CPR. Also advanced code quality through enum-to-string conversions modernization using std::format. Overall impact: faster, more reliable releases, improved cross-platform correctness, and expanded data ecosystem compatibility. Technologies demonstrated: C++, CMake, std::format, tests, GitHub Actions, release scripting, ASF licensing compliance, Arrow integration, CPR, and cross-platform CI optimizations.
September 2025 — apache/iceberg-cpp: Delivered impactful cross-platform enhancements and release improvements that strengthen reliability, speed, and interoperability, with a focus on business value and technical excellence. Key deliverables include endianness conversion utilities with platform tests; a comprehensive release automation system with scripts and a GitHub Actions workflow; a Windows CI fail-fast strategy to accelerate debugging and reduce CI waste; compile-time versioning and licensing metadata aligned with ASF guidelines; and Arrow integration with REST catalog client support via CPR. Also advanced code quality through enum-to-string conversions modernization using std::format. Overall impact: faster, more reliable releases, improved cross-platform correctness, and expanded data ecosystem compatibility. Technologies demonstrated: C++, CMake, std::format, tests, GitHub Actions, release scripting, ASF licensing compliance, Arrow integration, CPR, and cross-platform CI optimizations.
August 2025 summary for apache/iceberg-cpp focused on manifest handling, codebase hygiene, and licensing compliance. Key feature work delivered includes manifest entry metadata inheritance and enhancements to manifest reading, plus V2 manifest testing architecture improvements. Major fixes address correct partition field handling for non-partitioned tables, manifest file reader tests, and a BuildTable method signature correction. Codebase refactoring improved forward declarations and naming consistency, contributing to faster builds and easier maintenance. Licensing compliance was updated to ensure all headers are present in GitHub configuration files.
August 2025 summary for apache/iceberg-cpp focused on manifest handling, codebase hygiene, and licensing compliance. Key feature work delivered includes manifest entry metadata inheritance and enhancements to manifest reading, plus V2 manifest testing architecture improvements. Major fixes address correct partition field handling for non-partitioned tables, manifest file reader tests, and a BuildTable method signature correction. Codebase refactoring improved forward declarations and naming consistency, contributing to faster builds and easier maintenance. Licensing compliance was updated to ensure all headers are present in GitHub configuration files.

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