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

sql5-2.4.1.tar.gz (9.6 kB view details)

Uploaded Source

Built Distribution

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

sql5-2.4.1-py3-none-any.whl (6.9 kB view details)

Uploaded Python 3

File details

Details for the file sql5-2.4.1.tar.gz.

File metadata

  • Download URL: sql5-2.4.1.tar.gz
  • Upload date:
  • Size: 9.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for sql5-2.4.1.tar.gz
Algorithm Hash digest
SHA256 1dd65dc0140c8878991701f3b7ecb2188e788d6f4470c6fe2f2b91406d5688d0
MD5 5c69d1d724f3b19610ad28cef2e5dfb6
BLAKE2b-256 cd83d5f8cdb68aa507067ad571bce286219eea2e548f9ff7c8cb370579cc1127

See more details on using hashes here.

File details

Details for the file sql5-2.4.1-py3-none-any.whl.

File metadata

  • Download URL: sql5-2.4.1-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 sql5-2.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 f8597ece7dc764e3ab782acbbf789911aecccd3167b9a7bc2c08c3a06470709c
MD5 28a2b8485e7f339a125ac267b9759f23
BLAKE2b-256 b657219fad6be7373675a7dc242559063f1e0d982c859d4e8ce95fa8ddcfb024

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