April 2025 performance month in review: Delivered a robust Remote WAL Pruning System in GreptimeDB enabling region-aware pruning, flush coordination, periodic pruning, high watermark tracking, and metadata capture. Fixed a critical correctness issue in pruning ID calculation for the Mito variant. Expanded the WAL pruning feature set and added configurability, while updating documentation accordingly. The changes closed storage-growth risks, improved data safety, and provided clearer operational controls for production.

Monthly summary for 2025-03 focusing on business value and technical achievements. Highlights include feature delivery for MySQL backend support and SQL compatibility, updates to distributed election mechanics, documentation RFCs, and accompanying documentation improvements. The work expands deployment options, improves cross-DB reliability, and clarifies usage for operators and developers. Key content delivered in March 2025: - Features implemented: - MySQL Backend Support and SQL Compatibility: Added MySQL as a backend for key-value storage and for election logic; cross-DB SQL quoting improvements to support MySQL and PostgreSQL. Includes commits adding MySQL kvbackend and MySQL election logic, plus a quoting fix. - Configurable Election Lease TTLs: Refactored the meta-service election mechanism to support configurable lease TTLs for candidate and meta leases, enabling more robust distributed elections. - RFC for Remote WAL Purge: Documented a proposed method for purging remote WAL entries, including motivation, sequence diagrams, procedures, error handling and alternatives. - Documentation updates: - MySQL Backend Documentation Enhancement: Updated docs to include configuration details for using MySQL as a key-value backend, added MySQL connection string examples, clarified usage with backend and meta_table_name, and extended meta_table_name applicability to MySQL to align with the new backend support. Overall impact and business value: - Expanded deployment options by enabling MySQL as a first-class backend for KV store and election logic, improving interoperability across environments. - Strengthened distributed election robustness through configurable TTLs, reducing leadership churn and improving fault tolerance. - Established clear guidance for WAL purge strategies and operations through an RFC, setting direction for future maintenance. - Improved documentation to reduce operational friction and align tooling with backend capabilities. Technologies and skills demonstrated: - Backend integration with MySQL, cross-DB SQL quoting techniques, and MySQL-specific syntax handling. - Distributed systems concepts: configurable lease TTLs and election robustness. - Technical documentation discipline: RFC creation and comprehensive docs updates. - Code and doc contributions across multiple repositories (greptimedb, docs).

February 2025: Delivered two key features that improve data consistency and enable scalable backend support, with significant improvements in error handling and test coverage. The work lays a foundation for multi-backend RDS support and ensures topic-region mappings stay accurate during table lifecycle events, delivering measurable business value in data integrity and system extensibility.

Concise monthly summary for 2025-01 focusing on business value and technical achievements across GreptimeTeam/greptimedb and GreptimeTeam/docs. Highlights include PostgreSQL KV backend improvements with transactional support and configurability, WAL remote enhancements with topic-region mapping, dependency updates for inter-service communication, and deployment tuning for docs with cache optimization and backend configuration options. These changes improve reliability, scalability, and deployment flexibility, delivering measurable business value in reliability, performance, and operational efficiency.

December 2024 monthly summary focusing on business value and technical achievements across GreptimeDB and docs. Delivered reliability improvements and performance enhancements, expanded test coverage, and laid groundwork for high availability. Key outcomes include stronger SQL parser confidence, more robust schema-alteration testing, memory-efficient inverted index caching, and preparatory work for a PostgreSQL-backed leader election, plus documentation to help operators tune inverted index performance.

November 2024 highlights stability and feature progress across GreptimeDB, GreptimeProto, and Docs. Stabilized data handling through a JSONB panic fix on corrupted data and a dependency upgrade; expanded DDL/SQL capabilities with per-column fulltext indexing options and TTL support; refactored ALTER TABLE parsing for API consistency; unified MySQL execution path; and refreshed proto/docs with improved clarity and test coverage. These changes reduce runtime risk, enable richer data modeling, and simplify cross-repo maintenance.