
Lilinghai developed a comprehensive best practices guide for SaaS multi-tenant TiDB deployments in the qiancai/docs-cn repository, consolidating hardware configuration, region governance, caching, statistics collection, and operational strategies to support environments with over a million tables. Using Go, SQL, and Markdown, Lilinghai focused on actionable documentation that streamlines onboarding and reduces deployment risk for large-scale database systems. Additionally, Lilinghai contributed a targeted fix to the pingcap/tidb repository, addressing primary index hint handling in TiFlash isolation reads to improve query planning accuracy. This work demonstrated a deep understanding of database internals, query planning, and technical writing for robust, scalable systems.

June 2025: Delivered a targeted fix to TiDB's TiFlash isolation read planner to correctly handle the primary index hint when PKIsHandle is true, preventing misidentification of the primary key as an index and improving query planning accuracy in edge-case isolation read scenarios. The change was committed to pingcap/tidb as a focused planner bug fix, enhancing robustness of the planner-TiFlash integration.
June 2025: Delivered a targeted fix to TiDB's TiFlash isolation read planner to correctly handle the primary index hint when PKIsHandle is true, preventing misidentification of the primary key as an index and improving query planning accuracy in edge-case isolation read scenarios. The change was committed to pingcap/tidb as a focused planner bug fix, enhancing robustness of the planner-TiFlash integration.
April 2025 — Delivered a SaaS-focused TiDB best practices guide to enable scalable, multi-tenant deployments. The documentation consolidates hardware configuration, region governance, caching, statistics collection, system table queries, connection management, stale reads, and backup/restore strategies to optimize performance and stability for environments with over a million tables. This work enhances onboarding, reduces deployment risk, and provides operators with a concrete reference for large-scale TiDB deployments.
April 2025 — Delivered a SaaS-focused TiDB best practices guide to enable scalable, multi-tenant deployments. The documentation consolidates hardware configuration, region governance, caching, statistics collection, system table queries, connection management, stale reads, and backup/restore strategies to optimize performance and stability for environments with over a million tables. This work enhances onboarding, reduces deployment risk, and provides operators with a concrete reference for large-scale TiDB deployments.
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