Skip to main content

SQLite-compatible database with CJK FTS5 support

Project description

sql5

SQLite-compatible database with native CJK FTS5 support.

Installation

pip install sql5

Python API

import sql5

# Create in-memory database
db = sql5.connect()

# 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+

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

sql5-2.1.0.tar.gz (9.0 kB view details)

Uploaded Source

Built Distribution

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

sql5-2.1.0-py3-none-any.whl (6.2 kB view details)

Uploaded Python 3

File details

Details for the file sql5-2.1.0.tar.gz.

File metadata

  • Download URL: sql5-2.1.0.tar.gz
  • Upload date:
  • Size: 9.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for sql5-2.1.0.tar.gz
Algorithm Hash digest
SHA256 861f1ce4c2151a7b9592a874c58490cc83b3fb113803e653b849b40a02004414
MD5 1dac16e60ba6961e7aed20e1ef709fef
BLAKE2b-256 88497ea1a5a5a428c8d563e2e5ed94ebbcf4d1cc40586736952769c1476e2c13

See more details on using hashes here.

File details

Details for the file sql5-2.1.0-py3-none-any.whl.

File metadata

  • Download URL: sql5-2.1.0-py3-none-any.whl
  • Upload date:
  • Size: 6.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.9

File hashes

Hashes for sql5-2.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1fb83416bb8374c1ba6e7ee9ec2d7e6e685734f46ca33afb846e1ffe8433b808
MD5 dfac9a8c8226f4aa88f2734668a8cd41
BLAKE2b-256 f0a783abd2fed364867911ea72fdc8399e979c33f977dfab3609c7ff1841bd89

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