Skip to main content

SQLite-compatible database with CJK FTS5 support

Project description

sql5

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

v2.0 - Client-Server Architecture

sql5 v2.0 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 JSON over stdin/stdout.

Installation

pip install sql5

Python API

import sql5

# In-memory database
db = sql5.connect()

# Or open a file
db = sql5.connect("mydb.db")

# Or open a file
# db = sql5.connect("mydb.db")

# 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()

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.)

Requirements

  • Python 3.8+

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sql5-2.4.0.tar.gz (9.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sql5-2.4.0-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file sql5-2.4.0.tar.gz.

File metadata

  • Download URL: sql5-2.4.0.tar.gz
  • Upload date:
  • Size: 9.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for sql5-2.4.0.tar.gz
Algorithm Hash digest
SHA256 c7c1444782ffd35eb72e4cd8b6027d451165c7d134b1c09c4c45b90476fa92ca
MD5 182e3d66940adf07ff0b433fc82b1e5e
BLAKE2b-256 3617d5c35e9f8cb59213d37547db53b188e1a4fc5dac57705779529e96d6e837

See more details on using hashes here.

File details

Details for the file sql5-2.4.0-py3-none-any.whl.

File metadata

  • Download URL: sql5-2.4.0-py3-none-any.whl
  • Upload date:
  • Size: 6.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for sql5-2.4.0-py3-none-any.whl
Algorithm Hash digest
SHA256 626f6f858a1c6117ed077b79daa511cff1f8076d1f1e96075d7fe0674ab004db
MD5 0ce66dd2577b8f7f8f2d5aac548c8dce
BLAKE2b-256 aa878a04e9f9dfefa4e9c55cf6e9e5e911913c632199b6ba236760cbc7301e82

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page