vibesql 0.1.1

SQL database engine with SQL:1999 compliance
Documentation
# VibeSQL

[![CI](https://github.com/rjwalters/vibesql/actions/workflows/ci-and-deploy.yml/badge.svg)](https://github.com/rjwalters/vibesql/actions/workflows/ci-and-deploy.yml)
[![Demo](https://img.shields.io/badge/demo-live-success)](https://rjwalters.github.io/vibesql/)
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[![SQLLogicTest](https://img.shields.io/endpoint?url=https://rjwalters.github.io/vibesql/badges/sqllogictest.json)](https://rjwalters.github.io/vibesql/conformance.html#SQLlogicTest)

**SQL:1999 compliant database in Rust, 100% AI-generated**

[Live Demo]https://rjwalters.github.io/vibesql/ | [CLI Guide]docs/CLI_GUIDE.md | [Python Bindings]docs/PYTHON_BINDINGS.md | [Conformance Report]https://rjwalters.github.io/vibesql/conformance.html

## Highlights

- **100% SQL:1999 Core compliance** - 739/739 sqltest tests passing
- **100% SQLLogicTest conformance** - 624 files (~5.9M tests)
- **Full-featured CLI** with PostgreSQL-compatible commands
- **Python bindings** with DB-API 2.0 interface
- **WebAssembly** - runs in the browser
- **215,000+ lines** of Rust across 11 crates

Built entirely by AI agents using [Claude Code](https://claude.com/claude-code) and [Loom](https://github.com/loomhq/loom).

## Quick Start

```bash
# Clone and build
git clone --recurse-submodules https://github.com/rjwalters/vibesql.git
cd vibesql
cargo build --release

# Run the CLI
cargo run --release --bin vibesql

# Or try the web demo
cd web-demo && npm install && npm run dev
```

### CLI Example

```bash
$ cargo run --release --bin vibesql
vibesql> CREATE TABLE users (id INTEGER, name VARCHAR(50));
vibesql> INSERT INTO users VALUES (1, 'Alice'), (2, 'Bob');
vibesql> SELECT * FROM users;
+----+-------+
| id | name  |
+----+-------+
| 1  | Alice |
| 2  | Bob   |
+----+-------+
vibesql> \q
```

See [CLI Guide](docs/CLI_GUIDE.md) for meta-commands, output formats, and import/export.

### Python

```bash
pip install maturin
maturin develop
```

```python
import vibesql

db = vibesql.connect()
cursor = db.cursor()
cursor.execute("CREATE TABLE t (id INTEGER, name VARCHAR(50))")
cursor.execute("INSERT INTO t VALUES (1, 'Hello')")
cursor.execute("SELECT * FROM t")
print(cursor.fetchall())  # [(1, 'Hello')]
```

See [Python Bindings Guide](docs/PYTHON_BINDINGS.md) for full API reference.

## Features

### SQL Support

- **Queries**: SELECT, JOINs (INNER/LEFT/RIGHT/FULL/CROSS), subqueries, CTEs, UNION/INTERSECT/EXCEPT
- **DML**: INSERT, UPDATE, DELETE, TRUNCATE
- **DDL**: CREATE/ALTER/DROP TABLE, views, indexes, schemas
- **Aggregates**: COUNT, SUM, AVG, MIN, MAX with GROUP BY/HAVING
- **Window functions**: ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD
- **Transactions**: BEGIN, COMMIT, ROLLBACK, savepoints
- **Security**: GRANT/REVOKE with full privilege enforcement

### Advanced Features

- Views with OR REPLACE and column lists
- Stored procedures and functions (IN/OUT/INOUT parameters)
- Full-text search (MATCH AGAINST)
- Spatial functions (ST_* library)
- Triggers (BEFORE/AFTER)

### Performance

- Columnar execution with SIMD acceleration
- Cost-based join reordering
- Hash joins for equi-joins
- Predicate pushdown
- Expression caching

## Development

```bash
# Full build, test, and benchmark (runs in background)
make all            # Starts in background, shows monitoring instructions
make status         # Check progress
make logs           # Follow full output

# Individual targets
make build          # Build all crates
make test           # Run all tests (unit + integration + sqllogictest)
make benchmark      # Run TPC-H/TPC-C/TPC-DS/Sysbench benchmarks
make all-fg         # Run everything in foreground (blocking)
make help           # Show all targets
```

## Documentation

| Guide | Description |
|-------|-------------|
| [CLI Guide]docs/CLI_GUIDE.md | Command-line interface |
| [Python Bindings]docs/PYTHON_BINDINGS.md | Python API reference |
| [ODBC/JDBC]docs/ODBC_JDBC_CONNECTIVITY.md | Database connectivity |
| [Roadmap]docs/ROADMAP.md | Future plans |
| [History]docs/HISTORY.md | Development timeline |

## Project Background

This project originated from a challenge about AI capabilities: implement a NIST-compatible SQL database from scratch. Core SQL:1999 compliance was achieved in under 2 weeks (Oct 25 - Nov 1, 2025).

Inspired by [posix4e/nistmemsql](https://github.com/posix4e/nistmemsql).

## License

MIT OR Apache-2.0. See [LICENSE-MIT](LICENSE-MIT) and [LICENSE-APACHE](LICENSE-APACHE).

## Contributing

See [CLAUDE.md](CLAUDE.md) for development workflow with Loom AI orchestration.

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**[Try the Live Demo →](https://rjwalters.github.io/vibesql/)**