aiosqlite: Sqlite for AsyncIO¶
aiosqlite provides a friendly, async interface to sqlite databases.
It replicates the standard
sqlite3 module, but with async versions
of all the standard connection and cursor methods, plus context managers for
automatically closing connections and cursors:
async with aiosqlite.connect(...) as db: await db.execute("INSERT INTO some_table ...") await db.commit() async with db.execute("SELECT * FROM some_table") as cursor: async for row in cursor: ...
It can also be used in the traditional, procedural manner:
db = await aiosqlite.connect(...) cursor = await db.execute('SELECT * FROM some_table') row = await cursor.fetchone() rows = await cursor.fetchall() await cursor.close() await db.close()
aiosqlite also replicates most of the advanced features of
async with aiosqlite.connect(...) as db: db.row_factory = aiosqlite.Row async with db.execute('SELECT * FROM some_table') as cursor: async for row in cursor: value = row['column'] await db.execute('INSERT INTO foo some_table') assert db.total_changes > 0
aiosqlite is compatible with Python 3.6 and newer. You can install it from PyPI:
$ pip install aiosqlite
aiosqlite allows interaction with SQLite databases on the main AsyncIO event loop without blocking execution of other coroutines while waiting for queries or data fetches. It does this by using a single, shared thread per connection. This thread executes all actions within a shared request queue to prevent overlapping actions.
Connection objects are proxies to the real connections, contain the shared execution thread, and provide context managers to handle automatically closing connections. Cursors are similarly proxies to the real cursors, and provide async iterators to query results.