Skip to main content

sql5

SQLite-compatible database with native CJK FTS5 support. Built with Rust.

v3.0 - Client-Server Architecture with WebSocket Support

sql5 v3.0 consists of:

  • Python package (sql5 on PyPI): Pure Python client
  • Rust binary: Server process providing all SQL functionality

The Python client communicates with the Rust server via:

  • Subprocess mode (default): JSON over stdin/stdout
  • WebSocket mode (v3.0): WebSocket protocol for multi-client support

Installation

pip install sql5

Python API

import sql5

# Subprocess mode (default, v2.0 compatible)
db = sql5.connect("mydb.db")

# Or use WebSocket mode (v3.0, multi-client support)
db = sql5.connect(
    path="mydb.db",
    transport="websocket",
    host="127.0.0.1",
    port=8080
)

# Execute SQL
db.execute("CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT, age INTEGER)")
db.execute("INSERT INTO users VALUES (1, 'Alice', 30)")
db.execute("INSERT INTO users VALUES (2, 'Bob', 25)")
db.execute("INSERT INTO users VALUES (3, 'Charlie', 35)")

# Query with parameters
db.execute("INSERT INTO users VALUES (?, ?, ?)", (4, "David", 28))

# Fetch results
cursor = db.execute("SELECT * FROM users WHERE age > ?", (25,))
for row in cursor:
    print(row)
# (1, 'Alice', 30)
# (2, 'Bob', 25)
# (3, 'Charlie', 35)
# (4, 'David', 28)

# Fetch as list
cursor = db.execute("SELECT name, age FROM users ORDER BY age")
rows = cursor.fetchall()
print(rows)
# [('Bob', 25), ('David', 28), ('Alice', 30), ('Charlie', 35)]

# Fetch one
cursor = db.execute("SELECT * FROM users WHERE id = ?", (1,))
row = cursor.fetchone()
print(row)
# (1, 'Alice', 30)

# Transactions
db.execute("BEGIN")
db.execute("INSERT INTO users VALUES (5, 'Eve', 40)")
db.execute("COMMIT")

# Or rollback
db.execute("BEGIN")
db.execute("INSERT INTO users VALUES (6, 'Frank', 45)")
db.execute("ROLLBACK")

# Full-text search (FTS5)
db.execute("CREATE VIRTUAL TABLE articles USING fts5(title, body)")
db.execute("INSERT INTO articles VALUES ('Hello World', 'The quick brown fox')")
db.execute("INSERT INTO articles VALUES ('Rust Guide', 'Memory safety without GC')")
db.execute("INSERT INTO articles VALUES ('中文測試', '繁體中文全文檢索')")

cursor = db.execute("SELECT * FROM articles WHERE articles MATCH ?", ("rust",))
print(cursor.fetchall())
# [('Rust Guide', 'Memory safety without GC')]

cursor = db.execute("SELECT * FROM articles WHERE articles MATCH ?", ("中文",))
print(cursor.fetchall())
# [('中文測試', '繁體中文全文檢索')]

# Close database
db.close()

Connection Parameters

Parameter Type Default Description
path str None Database file path
transport str "subprocess" "subprocess" or "websocket"
host str "127.0.0.1" WebSocket server host
port int 8080 WebSocket server port

CLI Usage

# Run the REPL
sql5

# Open a database file
sql5 /path/to/database.db

# Execute single query
echo "SELECT 1 + 1;" | sql5

Features

  • Full SQL support (SELECT, INSERT, UPDATE, DELETE, CREATE, DROP)
  • ACID transactions (BEGIN, COMMIT, ROLLBACK)
  • WAL mode
  • Foreign keys
  • Views
  • Triggers
  • Full-text search (FTS5) with CJK bigram tokenization
  • Multiple database attachment (ATTACH DATABASE)
  • Window functions (ROW_NUMBER, RANK, LAG, LEAD, etc.)
  • String functions (UPPER, LOWER, SUBSTR, REPLACE, etc.)
  • Date/time functions (DATE, TIME, DATETIME, STRFTIME)
  • JSON functions (JSON, JSON_EXTRACT, JSON_SET, etc.)
  • WebSocket server mode (v3.0, multi-client support)
  • Subprocess server mode (v2.0, backward compatible)

Requirements

  • Python 3.8+
  • For WebSocket mode: pip install websocket-client (auto-installed as dependency)

Development

To use a local Rust binary instead of downloading from GitHub:

export SQL5_BINARY=/path/to/local/sql5
python -c "import sql5; print(sql5.__version__)"

License

MIT

Metadata

Release files for sql6 6.15.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for sql6 6.15.0
File Size Uploaded Provenance
sql6-6.15.0.tar.gz 35.3 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for sql6 6.15.0
File Interpreter ABI Platform
sql6-6.15.0-py3-none-any.whl Python 3 none any Details

Total release size: 67.3 kB

Release files / sql6-6.15.0.tar.gz

Download URL sql6-6.15.0.tar.gz
Size 35.3 kB
Tags Source
SHA-256 checksum
How to use checksums
10efc4239631df5d05a049b3ffe632355b143afda4790b809b1e5081902234e4
BLAKE2b-256 checksum
How to use checksums
e606a3a268a0da162e733582ad388122b5c4289f004a253dee00675110f9b2fe
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.15

Release files / sql6-6.15.0-py3-none-any.whl

Download URL sql6-6.15.0-py3-none-any.whl
Size 32.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
40b13bf8247989c951b35716adc69b39a2ffe1cf145c0341e797a7d31c32fc6c
BLAKE2b-256 checksum
How to use checksums
3e7bec9483b770ac91d1127c7bf0c273703e5de194489a969c16a0c6d5b6cf18
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.11.15

Security for sql6 6.15.0

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page