January 2026 (Month: 2026-01) for apache/doris: Delivered a critical fix to MySQL arithmetic expression compatibility by adding support for '%' and 'MOD' in arithmetic expressions, resolving errors in modular operations and aligning Doris behavior with MySQL semantics. This work improves cross-database compatibility for users migrating from MySQL and enhances reliability of modular arithmetic queries. The change includes regression tests and is prepared for user-facing release notes and reviewer checks. Impact: reduces query failures for modulus-related expressions by enabling correct evaluation and consistent semantics across MySQL-compatible environments.

December 2025 monthly performance summary focused on business value and technical achievements across Doris core and website docs. Implemented IVF index support into the ANN index, enabling scalable vector search for large datasets. Reduced log noise by removing non-fatal stack traces for missing keys, improving operational clarity. Published and expanded documentation for IVF in ANN index and vector search, with bilingual Chinese/English coverage and versioned guidance to accelerate adoption. Demonstrated cross-repo collaboration and execution across backend search components and docs, delivering both functional enhancements and improved user onboarding.

November 2025 — Apache Doris monthly summary. Core deliverables centered on ANN indexing enhancements and a stability fix in data compaction. Key features delivered include SQL-level support for ANN index management (CREATE INDEX and BUILD INDEX) with training optimization to improve performance and reliability. Major bugs fixed include addressing an uninitialized group_data_size in CompactionSampleInfo to prevent unrealistic batch sizing during estimate_batch_size, boosting OLAP data handling stability. Overall impact includes expanded analytics capabilities, faster and more stable indexing/training workflows, and stronger data reliability in OLAP workloads. Tech basis included backend C++ changes, SQL engine integration for ANN indexing, Faiss-based training optimization, and data handling internals. Commits referenced: ANN: 09fc3fd2d45f1f4d231ed511de1384107750d54b; 20302fe3038ab90a859000afd8371bd43749b1cc; Bug fix: c80dd345c1ca24f41f2ea8d1d8b76e0282125ad3.

Concise monthly summary for 2025-10 focusing on the apache/doris work item. Delivered Product Quantization (PQ) support in the ANN index, including interface and FAISS backend adjustments, parameter validation, and regression tests. No critical bugs reported this month; PQ work lays the foundation for more scalable and memory-efficient vector similarity search.

2025-08 Monthly Summary: Focused on improving numerical accuracy and robustness of array distance calculations in apache/doris. The primary deliverable was the refactor of array distance function return types to float, addressing null handling and precision issues, and strengthening test coverage to prevent regressions. This work enhances analytics reliability and data quality across data types and null distributions, enabling more accurate distance-based analytics in production.