# Prove SQLite — Project Plan > *The most deployed database in the world. Never formally verified. We're going to fix that.* --- ## Objective Specify SQLite's core state machines in SpeckDL — pager, WAL mode, VDBE bytecode engine, and B-Tree — then verify their critical invariants with Z3. Publish findings. This is the sequel to Prove Kafka (docs/PROVE-KAFKA-PLAN.md, now complete). --- ## Why SQLite SQLite is the most deployed database engine in the world — every smartphone, every browser, countless embedded systems. Its testing infrastructure (TH3, 100% branch coverage, mutation testing) is among the best in the industry. But coverage is not proof. Formal verification of SQLite's core invariants would be a first. Not a theoretical exercise — this is software running on billions of devices. --- ## Phases ### Phase 1 — SQLite Pager & Journal Modes **Target:** Specify and verify the pager state machine, including transaction lifecycle, journal modes, and WAL concurrency. | Milestone | Description | Dependencies | Status | |-----------|-------------|--------------|--------| | DB.1 | Research doc: pager, WAL, VDBE, B-Tree | None | 🚧 In progress | | DB.2 | `SQLitePager.speck` | DB.1 | ⬜ | | DB.3 | Z3 verification of pager invariants | DB.2 | ⬜ | | DB.4 | `SQLiteWAL.speck` | DB.1 | ⬜ | | DB.5 | Z3 verification of WAL concurrency | DB.4 | ⬜ | | DB.6 | Blog post: "Prove SQLite" | DB.3, DB.5 | 🚧 In progress | ### Phase 2 — SQLite VDBE Bytecode Engine **Target:** Specify the VDBE execution model — program counter, registers, key opcodes, transaction integration. | Milestone | Description | Dependencies | Status | |-----------|-------------|--------------|--------| | DB.7 | `SQLiteVDBE.speck` | DB.1 | ⬜ | | DB.8 | Z3 verification of VDBE invariants | DB.7 | ⬜ | | DB.9 | B-Tree cursor integration spec | DB.8 | ⬜ | ### Phase 3 — B-Tree **Target:** Specify the B-Tree structure — page organization, splits, merges, cursor operations. | Milestone | Description | Dependencies | Status | |-----------|-------------|--------------|--------| | DB.10 | `SQLiteBTree.speck` | DB.7 | ⬜ | | DB.11 | Z3 verification of B-Tree invariants | DB.10 | ⬜ | | DB.12 | Synthesis: unified SQLite verification report | DB.3, DB.5, DB.8, DB.11 | ⬜ | --- ## Target Invariants (by layer) ### Pager Invariants 1. **Transaction atomicity:** pages are either fully written or fully rolled back 2. **Journal integrity:** journal reflects committed state, is cleaned on rollback 3. **Cache consistency:** dirty pages are written back before journal deletion 4. **File format:** page size is consistent across the database file ### WAL Invariants 1. **Read consistency:** a reader sees a consistent snapshot (no partial WAL writes) 2. **Write serialization:** at most one writer at a time 3. **Checkpoint safety:** checkpoint does not remove frames still needed by active readers 4. **Frame ordering:** WAL frames are committed in sequence, no gaps ### VDBE Invariants 1. **Program counter validity:** PC stays within instruction bounds 2. **Register type safety:** read register types match write register types 3. **Cursor consistency:** open cursors point to valid B-Tree positions 4. **HALT guarantee:** every program reaches HALT (no infinite loops) ### B-Tree Invariants 1. **Page organization:** every page has valid header and cell pointers 2. **Key ordering:** keys are sorted within a page and across sibling pages 3. **Balance:** tree depth is uniform across all leaves 4. **Split correctness:** splitting a page preserves key ordering and parent linkage --- ## Deliverables - `docs/db-sqlite-reference.md` — research source material - `examples/SQLitePager.speck` — pager + WAL specification - `examples/SQLiteVDBE.speck` — VDBE specification - `examples/SQLiteBTree.speck` — B-Tree specification - `docs/blog-07-prove-sqlite.md` — blog post - Z3 verification results (sat/unsat per invariant) - For any gaps found: documented counterexample traces --- ## Guiding Principle Dependencies only. No wall-time estimates. Each milestone lists what must be true before it can start. Same approach as Prove Kafka, bigger target.