February 2026 monthly summary for the Doris website repo focused on delivering Iceberg all_manifests system table support and comprehensive docs updates. The work enhances metadata visibility for Iceberg tables by enabling queries against manifest files across all valid snapshots (from v4.0.4) and improves user understanding through clarified differences between manifests and all_manifests, along with translations and practical examples. No major bug fixes were required this month; the emphasis was on documentation, localization, and aligning release-ready content for multiple versions.

November 2025 monthly summary focusing on delivering reliability, performance, and data-management capabilities across Doris data sources and Iceberg-related features. Key work stabilized Iceberg and Hudi workflows, improved scan performance, and introduced Iceberg table management actions in the Doris website. The changes reduce query failures and incorrect filtering, lower per-split Hadoop configuration overhead, and enable more efficient Iceberg data governance and operations.

2025-10 monthly summary for Apache Doris concentrating on Iceberg integration reliability and data accessibility.

September 2025 summary for apache/doris: Delivered a targeted bug fix to stabilize the Hudi snapshot test by ensuring files are flushed after floating-point formatting changes, addressing the test_hudi_snapshot failure and improving CI reliability. The change, tracked in commit 7bd1949537d46c99bfaf800ee04246cbe8bb0, demonstrates solid debugging, precise test instrumentation, and effective handling of IO flushing and formatting edge cases. Overall impact: reduced flaky test runs, more predictable release validation, and clearer traceability for Hudi-related tests.

August 2025 highlights focused on documentation quality, readability, and robust read paths for Iceberg, Paimon, and Hudi integrations, together with safer incremental configuration handling. Key documentation improvements were delivered for Iceberg usage on the Doris website, including nullable handling for external table columns, branch-specific data write syntax, and enhanced schema-change guidance. Documentation typos and terminology across Iceberg/Paimon/Hudi catalogs were corrected to improve clarity and prevent misinterpretation. Technical work included unifying JNI reads for Paimon and Iceberg system tables via a single TMetaScanRange, removing the deprecated PaimonJniScanner, and speeding up reads. Additionally, incremental read configurations for Hudi were isolated by cloning backend storage properties to preserve original settings and ensure beginTime correctness. These efforts reduce onboarding time, improve documentation quality, and enhance system read performance and configuration safety.

July 2025 monthly summary highlighting reliability improvements, stability enhancements, and user-focused documentation across Doris and Iceberg integrations. Delivered targeted fixes for Hudi query stability, robust external table schema validation, stabilized Iceberg system table tests, and published Iceberg schema-change DDL guidance for Doris users.

June 2025 monthly summary focusing on developer deliverables for Doris and related projects. This period centered on delivering flexible data ingestion capabilities, improving accuracy of analytics counts, and expanding documentation to enhance system visibility and usability.

May 2025 - Apache Doris: Delivered two critical bug fixes focused on Hive integration and data filtering, with dedicated tests, improving data integrity and production stability. These changes reduce partition write conflicts with Hive and ensure correct dictionary-based filtering for ORC/Parquet workloads, delivering measurable business value in data reliability and query accuracy.

April 2025 monthly summary for Doris development. Key deliverables: - Doris-website: Added bilingual SQL Functions Documentation (English/Chinese) for date-time, map, and string functions, including syntax, parameters, return values, and practical examples. Commit: 8d81efec6187b94b244926a5efe70bc4965ba865. - Doris: Enhanced ORC reader for Hive ACID compatibility and robust predicate pushdown. Implemented correct ACID-column initialization/mapping and introduced session variable check_orc_init_sargs_success to control strictness of search argument initialization checks, improving predicate pushdown for ACID tables. Commit: 2484c356dfe5b045966e4cf4cd304f2e6054f768. - Doris: Hudi reader simplification — removed Spark JNI scanner and defaulted to Hadoop scanner; updated build scripts and configuration so only the Hadoop-based scanner is considered. Commit: 2dcf23736a333cd5705443e04d29ce03d62cc574. Impact and value: - Clear, bilingual documentation reduces onboarding time and support load. - More robust Hive ACID support and improved predicate pushdown yield faster, more reliable analytics on ACID tables. - Simplified Hudi integration reduces maintenance burden and shortens build times. Technologies/skills demonstrated: - Documentation localization and technical writing - ORC, Hive ACID, predicate pushdown optimization - Hudi integration, Java build tooling, module configuration

February 2025: Focused on improving documentation accuracy for Hive catalog and building processes in the apache/doris-website repository. Delivered a targeted fix to correct a typo in the list of compression codecs for Text files, ensuring docs reflect the correct guidance for Hive catalog usage and build procedures. The change enhances developer onboarding and reduces build-time confusion.

January 2025 monthly summary for apache/doris-website focused on documentation for Hudi_Meta TVF. Key feature delivered: user-facing bilingual documentation (English and Chinese) for the hudi_meta TVF, detailing syntax, parameters, and usage examples for querying Hudi table metadata (timeline information) across versioned docs. Implemented targeted cleanup by removing documentation for versions 3.0 and 2.1 where the feature had not been released, to prevent confusion and ensure accuracy. Major work also included maintaining versioned docs hygiene and clear mapping between code changes and documentation updates.