
Over the past 18 months, Xiaojing contributed to the apache/gravitino repository by building robust data catalog and cloud integration features, focusing on secure credential management, Iceberg REST server enhancements, and multi-cloud support. Xiaojing engineered backend systems in Java and Kotlin, leveraging Docker and Gradle for deployment automation and reproducible builds. Their work included implementing lineage tracking, policy management APIs, and a metrics subsystem with JDBC-backed storage, addressing both operational reliability and governance. Xiaojing also improved developer experience through detailed documentation and test automation, ensuring scalable, maintainable solutions for data lake management and cross-system interoperability in distributed environments.
March 2026 monthly summary for apache/gravitino focused on delivering business value through robust metrics, improved optimizer UX, and stronger CI/testing workflows. Highlights include a cross-database metrics storage overhaul, unified metrics models, and enhanced optimizer CLI/UX, complemented by packaging and build improvements to streamline delivery and reduce risk.
March 2026 monthly summary for apache/gravitino focused on delivering business value through robust metrics, improved optimizer UX, and stronger CI/testing workflows. Highlights include a cross-database metrics storage overhaul, unified metrics models, and enhanced optimizer CLI/UX, complemented by packaging and build improvements to streamline delivery and reduce risk.
February 2026 monthly summary for apache/gravitino: Delivered major enhancements across data connectivity, processing, and observability with an emphasis on business value, reliability, and future readiness. Key work includes enabling generic table support in the Gravitino Flink Connector, introducing a partition-aware compaction strategy, and laying the foundation for robust monitoring and statistics while improving operational efficiency. The updates span end-user impact, architecture improvements, and documentation, strengthening cross-system interoperability and developer productivity.
February 2026 monthly summary for apache/gravitino: Delivered major enhancements across data connectivity, processing, and observability with an emphasis on business value, reliability, and future readiness. Key work includes enabling generic table support in the Gravitino Flink Connector, introducing a partition-aware compaction strategy, and laying the foundation for robust monitoring and statistics while improving operational efficiency. The updates span end-user impact, architecture improvements, and documentation, strengthening cross-system interoperability and developer productivity.
January 2026 focused on delivering core platform capabilities and improving developer experience across Gravitino, Iceberg, and Paimon workstreams. The month delivered new ecosystem capabilities, improved catalog configurability, and enhanced documentation to support scalable data operations and testing flexibility.
January 2026 focused on delivering core platform capabilities and improving developer experience across Gravitino, Iceberg, and Paimon workstreams. The month delivered new ecosystem capabilities, improved catalog configurability, and enhanced documentation to support scalable data operations and testing flexibility.
December 2025 monthly summary for apache/gravitino: Delivered data-driven features with strong business value and notable stability improvements across Gravitino Iceberg and Flink integration. Key features delivered include a Recommender System for Job Submissions (API and code skeleton enabling scores-based table selection), and Cross-Namespace Table Rename in the Gravitino Iceberg catalog. Documentation improvements covering Java test naming conventions and GRAVITINO_MEM usage were also completed. Major bugs fixed include graceful handling of empty views in databases that do not support views, improving UX for Flink SQL gateway users, and a JDBC Driver Deregistration fix to preserve catalog wrapper recreation after idle periods. Additional work reduced deployment footprint by removing SLF4J from the Flink connector runtime and strengthening test coverage. Overall impact: enhances automated job routing, multi-tenant catalog operations, reliability, and deployment efficiency. Technologies demonstrated: Java, Iceberg, Flink, policy-based recommender design, catalog wrappers, UTs and integration tests, and documentation excellence.
December 2025 monthly summary for apache/gravitino: Delivered data-driven features with strong business value and notable stability improvements across Gravitino Iceberg and Flink integration. Key features delivered include a Recommender System for Job Submissions (API and code skeleton enabling scores-based table selection), and Cross-Namespace Table Rename in the Gravitino Iceberg catalog. Documentation improvements covering Java test naming conventions and GRAVITINO_MEM usage were also completed. Major bugs fixed include graceful handling of empty views in databases that do not support views, improving UX for Flink SQL gateway users, and a JDBC Driver Deregistration fix to preserve catalog wrapper recreation after idle periods. Additional work reduced deployment footprint by removing SLF4J from the Flink connector runtime and strengthening test coverage. Overall impact: enhances automated job routing, multi-tenant catalog operations, reliability, and deployment efficiency. Technologies demonstrated: Java, Iceberg, Flink, policy-based recommender design, catalog wrappers, UTs and integration tests, and documentation excellence.
November 2025 focused on securing, stabilizing, and hardening Iceberg integration within Apache Gravitino, while simplifying API surface and improving test reliability. Delivered feature-level authz for Iceberg REST table operations, improved dynamic config behavior to preserve user properties, and implemented API cleanup and event handling stability across the Iceberg integration. These changes strengthen governance, reduce surprises for users, and improve reliability in aux-mode deployments.
November 2025 focused on securing, stabilizing, and hardening Iceberg integration within Apache Gravitino, while simplifying API surface and improving test reliability. Delivered feature-level authz for Iceberg REST table operations, improved dynamic config behavior to preserve user properties, and implemented API cleanup and event handling stability across the Iceberg integration. These changes strengthen governance, reduce surprises for users, and improve reliability in aux-mode deployments.
In 2025-10, I focused on stabilizing the Gravitino Iceberg REST service in containerized environments and accelerating adoption through practical, developer-facing documentation. Key outcomes include reliability improvements for Docker deployments, and clear integration paths for PyIceberg and Gravitino REST catalog usage.
In 2025-10, I focused on stabilizing the Gravitino Iceberg REST service in containerized environments and accelerating adoption through practical, developer-facing documentation. Key outcomes include reliability improvements for Docker deployments, and clear integration paths for PyIceberg and Gravitino REST catalog usage.
September 2025 monthly summary for apache/gravitino focusing on delivering flexible Iceberg REST server integration, improved deployment stability, and clearer security/CLI UX. Delivered enhancements across REST, Helm chart, and client usage to support multiple Iceberg catalog backends with dynamic/static providers and S3 path-style access, enabling easier data lake management and broader backend compatibility. Strengthened CI/CD reliability through a JDK upgrade stabilizing Docker image builds. Improved security configuration consistency and CLI naming, supported by targeted docs improvements.
September 2025 monthly summary for apache/gravitino focusing on delivering flexible Iceberg REST server integration, improved deployment stability, and clearer security/CLI UX. Delivered enhancements across REST, Helm chart, and client usage to support multiple Iceberg catalog backends with dynamic/static providers and S3 path-style access, enabling easier data lake management and broader backend compatibility. Strengthened CI/CD reliability through a JDK upgrade stabilizing Docker image builds. Improved security configuration consistency and CLI naming, supported by targeted docs improvements.
In August 2025, delivered a focused set of enhancements for apache/gravitino across Iceberg integration, policy management, deployment automation, and reliability improvements. Key outcomes include Iceberg upgrade to 1.9.x with REST/config endpoints and improved Trino compatibility (accompanied by docs and build changes); policy management API read capabilities in the Gravitino MCP server; Docker image build/deploy support for the MCP server via GitHub Actions and related scripts; robustness improvements for PostgreSQL by adding schema existence checks to properly handle non-existent schemas; upgrade of Kyuubi Spark connector to v1.10 for compatibility with unified Spark versions and Scala 2.13; and metadata tool tag semantics updates for clearer tagging and help text. Commits illustrating these workstreams span: c894157273cfe103a408f3bc0e74c108041bac73, 352a9ffa8755380722548af72a19dd9230008523, 891035d773a22ef7562cace75816c1a46494496b, 58fe9049eb8f3cc2bb12f4c1cba21d84b08afb5e, 9a549677f5eecdd3756470413da1d8e95085b4cc, 71ff0e7ff806d67df13a7f4f2a6c62b14a421dac, 1f0ae44905de886c5bfacc1adbbc4ab3bbc186b2, 1282121dcf799a8aa50540a5c67963984786a25b, c4279cdef1d612ce19dc78587d50595001b87c25, 508f0335e144da20499bb8cff1da42ab6ad6eb13.
In August 2025, delivered a focused set of enhancements for apache/gravitino across Iceberg integration, policy management, deployment automation, and reliability improvements. Key outcomes include Iceberg upgrade to 1.9.x with REST/config endpoints and improved Trino compatibility (accompanied by docs and build changes); policy management API read capabilities in the Gravitino MCP server; Docker image build/deploy support for the MCP server via GitHub Actions and related scripts; robustness improvements for PostgreSQL by adding schema existence checks to properly handle non-existent schemas; upgrade of Kyuubi Spark connector to v1.10 for compatibility with unified Spark versions and Scala 2.13; and metadata tool tag semantics updates for clearer tagging and help text. Commits illustrating these workstreams span: c894157273cfe103a408f3bc0e74c108041bac73, 352a9ffa8755380722548af72a19dd9230008523, 891035d773a22ef7562cace75816c1a46494496b, 58fe9049eb8f3cc2bb12f4c1cba21d84b08afb5e, 9a549677f5eecdd3756470413da1d8e95085b4cc, 71ff0e7ff806d67df13a7f4f2a6c62b14a421dac, 1f0ae44905de886c5bfacc1adbbc4ab3bbc186b2, 1282121dcf799a8aa50540a5c67963984786a25b, c4279cdef1d612ce19dc78587d50595001b87c25, 508f0335e144da20499bb8cff1da42ab6ad6eb13.
July 2025 (2025-07) monthly summary for apache/gravitino. Focused on enhancing security, configurability, and runtime flexibility for Iceberg integration through three key feature deliveries. Resulting work strengthens security posture, improves configurability of Iceberg catalogs connected to Gravitino, and enhances data integrity and traceability by ensuring operations run under the authenticated user context.
July 2025 (2025-07) monthly summary for apache/gravitino. Focused on enhancing security, configurability, and runtime flexibility for Iceberg integration through three key feature deliveries. Resulting work strengthens security posture, improves configurability of Iceberg catalogs connected to Gravitino, and enhances data integrity and traceability by ensuring operations run under the authenticated user context.
June 2025 monthly summary for apache/gravitino. Key features delivered: Gravitino Docker Image Build Optimization and Iceberg REST Catalog Documentation for Doris/StarRocks. Major bugs fixed: Iceberg REST Server OAuth Startup Bug Fix. Overall impact and accomplishments: Improved container reliability, reproducible builds, and reduced integration friction for Iceberg+Doris/StarRocks while enabling secure OAuth deployments. Technologies/skills demonstrated: Docker build optimization, build-time dependency management, documentation authoring, OAuth/JWT configuration, and Iceberg REST integration. This aligns with business value of faster onboarding, more reliable deployments, and secure, scalable integrations.
June 2025 monthly summary for apache/gravitino. Key features delivered: Gravitino Docker Image Build Optimization and Iceberg REST Catalog Documentation for Doris/StarRocks. Major bugs fixed: Iceberg REST Server OAuth Startup Bug Fix. Overall impact and accomplishments: Improved container reliability, reproducible builds, and reduced integration friction for Iceberg+Doris/StarRocks while enabling secure OAuth deployments. Technologies/skills demonstrated: Docker build optimization, build-time dependency management, documentation authoring, OAuth/JWT configuration, and Iceberg REST integration. This aligns with business value of faster onboarding, more reliable deployments, and secure, scalable integrations.
May 2025 monthly summary for apache/gravitino. Key deliverables include Gravitino Iceberg REST server configurability and Trino integration docs. No major bugs fixed this month. Focused on improving deployment flexibility, interoperability with Trino, and developer/docs quality.
May 2025 monthly summary for apache/gravitino. Key deliverables include Gravitino Iceberg REST server configurability and Trino integration docs. No major bugs fixed this month. Focused on improving deployment flexibility, interoperability with Trino, and developer/docs quality.
April 2025 (2025-04) monthly summary for apache/gravitino. Focused on delivering end-to-end lineage capabilities with OpenLineage compatibility, stabilizing deployment artifacts, and enhancing observability and licensing/documentation.
April 2025 (2025-04) monthly summary for apache/gravitino. Focused on delivering end-to-end lineage capabilities with OpenLineage compatibility, stabilizing deployment artifacts, and enhancing observability and licensing/documentation.
March 2025 focused on stabilizing Iceberg integrations in Apache Gravitino and improving usability. Implemented reliable JDBC.driver loading under Spark's isolated class loader, made Iceberg memory catalog warehouse location configurable for S3/local storage, removed Log4j dependency to resolve logging issues in cloud bundles, and updated REST service documentation to ease setup and discovery. These changes reduce runtime failures, enable flexible deployments, and improve developer onboarding.
March 2025 focused on stabilizing Iceberg integrations in Apache Gravitino and improving usability. Implemented reliable JDBC.driver loading under Spark's isolated class loader, made Iceberg memory catalog warehouse location configurable for S3/local storage, removed Log4j dependency to resolve logging issues in cloud bundles, and updated REST service documentation to ease setup and discovery. These changes reduce runtime failures, enable flexible deployments, and improve developer onboarding.
February 2025 monthly summary for apache/gravitino focusing on business value and technical achievements. Delivered a major Iceberg upgrade with improved compatibility and stability, enhanced documentation for Iceberg REST server, and addressed test reliability by correcting JDBC driver loading.
February 2025 monthly summary for apache/gravitino focusing on business value and technical achievements. Delivered a major Iceberg upgrade with improved compatibility and stability, enhanced documentation for Iceberg REST server, and addressed test reliability by correcting JDBC driver loading.
January 2025 monthly summary for apache/gravitino: Delivered multi-cloud fileset capabilities and reliability improvements across storage providers, stabilized Flink integration with a reliable Paimon catalog load, enhanced credential vending and documentation, upgraded release automation, and mitigated a security risk by removing Log4j from the Flink connector. These efforts boost cross-cloud data workflows, operational reliability, governance, and release velocity while reducing security exposure.
January 2025 monthly summary for apache/gravitino: Delivered multi-cloud fileset capabilities and reliability improvements across storage providers, stabilized Flink integration with a reliable Paimon catalog load, enhanced credential vending and documentation, upgraded release automation, and mitigated a security risk by removing Log4j from the Flink connector. These efforts boost cross-cloud data workflows, operational reliability, governance, and release velocity while reducing security exposure.
December 2024 (apache/gravitino): Focused on delivering centralized, secure credential management across Gravitino/Graviton and expanding Iceberg catalog capabilities with ADLS support. Primary work centered on feature delivery and refactors to improve security, performance, and developer productivity. No major bugs documented for this period; the emphasis was on robust feature implementation and code quality improvements.
December 2024 (apache/gravitino): Focused on delivering centralized, secure credential management across Gravitino/Graviton and expanding Iceberg catalog capabilities with ADLS support. Primary work centered on feature delivery and refactors to improve security, performance, and developer productivity. No major bugs documented for this period; the emphasis was on robust feature implementation and code quality improvements.
November 2024 performance summary for Apache Gravitino, Apache Paimon, and influxdata Iceberg Rust focused on key features delivered, major bugs fixed, and overall impact. Highlights include new Iceberg operation context and event hooks, an enhanced audit framework for Iceberg REST, and documentation improvements, along with reliability improvements in CI. Bug fixes include deduplication of Paimon JDBC catalog schemas, a data fusion query schema consistency fix, and a CI stability improvement.
November 2024 performance summary for Apache Gravitino, Apache Paimon, and influxdata Iceberg Rust focused on key features delivered, major bugs fixed, and overall impact. Highlights include new Iceberg operation context and event hooks, an enhanced audit framework for Iceberg REST, and documentation improvements, along with reliability improvements in CI. Bug fixes include deduplication of Paimon JDBC catalog schemas, a data fusion query schema consistency fix, and a CI stability improvement.
October 2024 monthly summary for Apache Gravitino and Paimon: Delivered multi-cloud credential management enhancements and Iceberg integration, improved event listener and multi-catalog documentation, and fixed key security and reliability issues across repos. The work strengthens security, reliability, and developer experience for data catalog operations and cloud credential workflows.
October 2024 monthly summary for Apache Gravitino and Paimon: Delivered multi-cloud credential management enhancements and Iceberg integration, improved event listener and multi-catalog documentation, and fixed key security and reliability issues across repos. The work strengthens security, reliability, and developer experience for data catalog operations and cloud credential workflows.

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