SQLite - embedded database, SQL queries, schema design, Python integration, optimization
SQLite - self-contained, serverless, zero-configuration SQL database engine.
SQLite is an embedded relational database. The entire database is stored in a single cross-platform disk file. No server process needed.
.db fileSee Slicker.me SQLite Features for a comprehensive feature overview.
import sqlite3
# Connect (creates file if not exists)
conn = sqlite3.connect('myapp.db')
# Use as context manager (auto-commits)
with sqlite3.connect('myapp.db') as conn:
conn.execute("CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT, email TEXT)")
conn.execute("INSERT INTO users (name, email) VALUES (?, ?)", ("Alice", "[email protected]"))
conn.commit()
# In-memory database
conn = sqlite3.connect(':memory:')
# Access columns by name
conn = sqlite3.connect('myapp.db')
conn.row_factory = sqlite3.Row
cursor = conn.execute("SELECT * FROM users")
for row in cursor:
print(row['name'], row['email'])
# Or use dict factory
def dict_factory(cursor, row):
return {col[0]: row[i] for i, col in enumerate(cursor.description)}
conn.row_factory = dict_factory
import sqlite3
conn = sqlite3.connect('app.db')
conn.row_factory = sqlite3.Row
# Create
conn.execute("""
CREATE TABLE IF NOT EXISTS products (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
price REAL NOT NULL,
category TEXT,
in_stock INTEGER DEFAULT 1,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
)
""")
# Insert
conn.execute("INSERT INTO products (name, price, category) VALUES (?, ?, ?)",
("Widget", 9.99, "gadgets"))
# Bulk insert
products = [("A", 1.0, "cat1"), ("B", 2.0, "cat2"), ("C", 3.0, "cat1")]
conn.executemany("INSERT INTO products (name, price, category) VALUES (?, ?, ?)", products)
conn.commit()
# Read
cursor = conn.execute("SELECT * FROM products WHERE price > ?", (2.0,))
for row in cursor:
print(dict(row))
# Update
conn.execute("UPDATE products SET price = ? WHERE name = ?", (12.99, "Widget"))
conn.commit()
# Delete
conn.execute("DELETE FROM products WHERE id = ?", (1,))
conn.commit()
conn.close()
SQLite uses dynamic typing with storage classes:
-- Basic table
CREATE TABLE users (
id INTEGER PRIMARY KEY AUTOINCREMENT,
username TEXT NOT NULL UNIQUE,
email TEXT NOT NULL UNIQUE,
password_hash TEXT NOT NULL,
is_active INTEGER DEFAULT 1,
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);
-- With foreign key
CREATE TABLE orders (
id INTEGER PRIMARY KEY AUTOINCREMENT,
user_id INTEGER NOT NULL,
total REAL NOT NULL,
status TEXT DEFAULT 'pending',
created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
);
-- Enable foreign keys (required in SQLite)
PRAGMA foreign_keys = ON;
-- Index
CREATE INDEX idx_orders_user_id ON orders(user_id);
CREATE INDEX idx_orders_status ON orders(status);
-- Unique constraint
CREATE TABLE tags (
id INTEGER PRIMARY KEY,
name TEXT NOT NULL UNIQUE
);
-- Composite index
CREATE INDEX idx_products_cat_price ON products(category, price);
-- SQLite supports limited ALTER TABLE
ALTER TABLE users ADD COLUMN avatar TEXT;
ALTER TABLE users RENAME COLUMN username TO handle;
ALTER TABLE users RENAME TO accounts;
-- For complex changes, recreate:
BEGIN TRANSACTION;
CREATE TABLE users_new (
id INTEGER PRIMARY KEY,
name TEXT NOT NULL,
email TEXT UNIQUE
);
INSERT INTO users_new SELECT id, name, email FROM users;
DROP TABLE users;
ALTER TABLE users_new RENAME TO users;
COMMIT;
# Manual transaction
conn = sqlite3.connect('app.db')
conn.execute("PRAGMA foreign_keys = ON")