differential-fuzzer

tursodatabase/turso · updated Apr 8, 2026

$npx skills add https://github.com/tursodatabase/turso --skill differential-fuzzer
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summary

Property-based fuzzer that compares Turso against SQLite to catch SQL correctness bugs.

  • Generates random SQL statements and schemas, then executes them on both Turso and SQLite to detect mismatches in row sets, error handling, or schema state
  • Supports deterministic reproduction via seed-based runs, configurable statement/table/column counts, and verbose output for debugging
  • Includes continuous loop mode for extended fuzzing campaigns and Docker runner for CI with configurable timeout
skill.md

Differential Fuzzer

Always load Debugging skill for reference

The differential fuzzer compares Turso results against SQLite for generated SQL statements to find correctness bugs.

Location

testing/differential-oracle/fuzzer/

Running the Fuzzer

Single Run

# Basic run (100 statements, random seed)
cargo run --bin differential_fuzzer

# With specific seed for reproducibility
cargo run --bin differential_fuzzer -- --seed 12345

# More statements with verbose output
cargo run --bin differential_fuzzer -- -n 1000 --verbose

# Keep database files after run (for debugging)
cargo run --bin differential_fuzzer -- --seed 12345 --keep-files

# All options
cargo run --bin differential_fuzzer -- \
  --seed <SEED>           # Deterministic seed
  -n <NUM>                # Number of statements (default: 100)
  -t <NUM>                # Number of tables (default: 2)
  -c <NUM>                # Columns per table (default: 5)
  --verbose               # Print each SQL statement
  --keep-files            # Persist .db files to disk

Continuous Fuzzing (Loop Mode)

# Run forever with random seeds
cargo run --bin differential_fuzzer -- loop

# Run 50 iterations
cargo run --bin differential_fuzzer -- loop 50

Docker Runner (CI/Production)

# Build and run from repo root
docker build -f testing/differential-oracle/fuzzer/docker-runner/Dockerfile -t fuzzer .
docker run -e GITHUB_TOKEN=xxx -e SLACK_WEBHOOK_URL=xxx fuzzer

Environment variables for docker-runner:

  • TIME_LIMIT_MINUTES - Total runtime (default: 1440 = 24h)
  • PER_RUN_TIMEOUT_SECONDS - Per-run timeout (default: 1200 = 20min)
  • NUM_STATEMENTS - Statements per run (default: 1000)
  • LOG_TO_STDOUT - Print fuzzer output (default: false)
  • GITHUB_TOKEN - For auto-filing issues
  • SLACK_WEBHOOK_URL - For notifications

Output Files

All output goes to simulator-output/ directory:

File Description
test.sql All executed SQL statements. Failed statements prefixed with -- FAILED:, errors with -- ERROR:
schema.json Database schema at end of run (or at failure)
test.db Turso database file (only with --keep-files)
test-sqlite.db SQLite database file (only with --keep-files)

Reproducing Errors

Always follow these steps

  1. Find the seed in the error output:

    INFO: Starting differential_fuzzer with config: SimConfig { seed: 12345, ... }
    
  2. Re-run with that seed:

    cargo run --bin differential_fuzzer -- --seed 12345 --verbose --keep-files
    
  3. Check output files:

    • simulator-output/test.sql - Find the failing statement (look for -- FAILED:)
    • simulator-output/schema.json - Check table structure at failure time
  4. Create a minimal reproducer

  5. Compare behavior manually: If needed try to compare the behaviour and produce a report in the end. Always write to a tmp file first with Edit tool to test the sql and then pass it to the binaries.

    # Run failing SQL against SQLite
    sqlite3 :memory: < simulator-output/test.sql
    
    # Run against tursodb CLI
    tursodb :memory: < simulator-output/test.sql
    

Understanding Failures

Oracle Failure Types

  1. Row set mismatch - Turso returned different rows than SQLite
  2. Turso errored but SQLite succeeded - Turso rejected valid SQL
  3. SQLite errored but Turso succeeded - Turso accepted invalid SQL
  4. Schema mismatch - Tables/columns differ after DDL

Warning (non-fatal)

  • Unordered LIMIT mismatch - LIMIT without ORDER BY may return different valid rows

Key Source Files

File Purpose
main.rs CLI parsing, entry point
runner.rs Main simulation loop, executes statements on both DBs
oracle.rs Compares Turso vs SQLite results
schema.rs Introspects schema from both databases
memory/ In-memory IO for deterministic simulation

Tracing

Set RUST_LOG for more detailed output:

RUST_LOG=debug cargo run --bin differential_fuzzer -- --seed 12345

Discussion

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general reviews

Ratings

4.744 reviews
  • Anika Martin· Dec 4, 2024

    We added differential-fuzzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Dev Wang· Dec 4, 2024

    differential-fuzzer reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Liam Jain· Nov 23, 2024

    Keeps context tight: differential-fuzzer is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Liam Martinez· Oct 14, 2024

    differential-fuzzer is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Sep 21, 2024

    We added differential-fuzzer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Li Liu· Sep 21, 2024

    Solid pick for teams standardizing on skills: differential-fuzzer is focused, and the summary matches what you get after install.

  • Min Chawla· Sep 21, 2024

    differential-fuzzer has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Jackson· Sep 5, 2024

    Useful defaults in differential-fuzzer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Sakshi Patil· Sep 1, 2024

    Registry listing for differential-fuzzer matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Li Wang· Aug 24, 2024

    I recommend differential-fuzzer for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

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