MySQL/InnoDB Knowledge Base

SkillDatabases & data

MySQL/InnoDB knowledge base. Covers schema design, indexing strategies, query tuning, transactions and locks, partitioning, and operations. Intended for devlab-middleware-expert to inherit via extends.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the MySQL/InnoDB Knowledge Base skill

What this skill tells your AI

The instructions your AI receives, as published by seed-forge/harness-ai-kit in skills/public-mysql-expert-base/SKILL.md and read by ahel’s review.

Use this skill to make safe, measurable MySQL/InnoDB changes.

Source: Adapted from planetscale/database-skills (MySQL skill). PlanetScale-specific content removed; only general MySQL/InnoDB knowledge retained.

Workflow

  1. Define workload and constraints (read/write mix, latency target, data volume, MySQL version).
  2. Read only the relevant reference files linked in each section below.
  3. Propose the smallest change that can solve the problem, including trade-offs.
  4. Validate with evidence (EXPLAIN, EXPLAIN ANALYZE, lock/connection metrics).
  5. For production changes, include rollback and post-deploy verification.

Schema Design

  • Prefer narrow, monotonic PKs (BIGINT UNSIGNED AUTO_INCREMENT) for write-heavy OLTP tables.
  • Avoid random UUID values as clustered PKs; if external IDs are required, keep UUID in a secondary unique column.
  • Always utf8mb4 / utf8mb4_0900_ai_ci. Prefer NOT NULL, DATETIME over TIMESTAMP.
  • Lookup tables over ENUM. Normalize to 3NF; denormalize only for measured hot paths.

References:

Indexing

  • Composite order: equality first, then range/sort (leftmost prefix rule).
  • Range predicates stop index usage for subsequent columns.
  • Secondary indexes include PK implicitly. Prefix indexes for long strings.
  • Audit via performance_schema — drop indexes with count_read = 0.

References:

Partitioning

  • Partition time-series (>50M rows) or large tables (>100M rows). Plan early — retrofit = full rebuild.
  • Include partition column in every unique/PK. Always add a MAXVALUE catch-all.

References:

Query Optimization

  • Check EXPLAIN — red flags: type: ALL, Using filesort, Using temporary.
  • Cursor pagination, not OFFSET. Avoid functions on indexed columns in WHERE.
  • Batch inserts (500–5000 rows). UNION ALL over UNION when dedup unnecessary.

References:

Transactions & Locking

  • Default: REPEATABLE READ (gap locks). Use READ COMMITTED for high contention.
  • Consistent row access order prevents deadlocks. Retry error 1213 with backoff.
  • Do I/O outside transactions. Use SELECT ... FOR UPDATE sparingly.

References:

Operations

  • Use online DDL (ALGORITHM=INPLACE) when possible; test on replicas first.
  • Tune connection pooling — avoid max_connections exhaustion under load.
  • Monitor replication lag; avoid stale reads from replicas during writes.

References:

Guardrails

  • Prefer measured evidence over blanket rules of thumb.
  • Note MySQL-version-specific behavior when giving advice.
  • Ask for explicit human approval before destructive data operations (drops/deletes/truncates).

参考文档:

  • references/REFERENCE-README.md

Signals

GitHub stars
22
Forks
2
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
public-mysql-expert-base
Source
github.com/seed-forge/harness-ai-kit