PostgreSQL client for Trio based on asyncpg
Welcome to triopg!
License: Your choice of MIT or Apache License 2.0
import trio_asyncio import triopg async def main(): async with triopg.connect() as conn: await conn.execute( """ DROP TABLE IF EXISTS users; CREATE TABLE IF NOT EXISTS users ( _id SERIAL PRIMARY KEY, user_id VARCHAR(32) UNIQUE )""" ) async with conn.transaction(): await conn.execute("INSERT INTO users (user_id) VALUES (1)") await conn.execute("INSERT INTO users (user_id) VALUES (2)") await conn.execute("INSERT INTO users (user_id) VALUES (3)") print(await conn.fetch("SELECT * FROM users")) trio_asyncio.run(main)
triopg is a thin Trio-compatible wrapper around asyncpg. The API is the same, with one exception - triopg does not support manual resource management. In asyncpg you can manage pools, connections and transactions manually:
conn = await asyncpg.connect() tr = conn.transaction() # .. tr.commit() conn.close()
While in triopg you can only use async with blocks:
async with triopg.connect() as conn: async with conn.transaction(): # ...
In addition to asyncpg-compatible API, triopg provides Trio-style .listen() helper for the eponymous Postgres statement:
async with conn.listen('some.channel', max_buffer_size=1) as notifications: async for notification in notifications: if notification != triopg.NOTIFY_OVERFLOW: print('Notification received:', notification)
max_buffer_size is the amount of notifications you are willing to queue in memory.
If you don’t want to think about buffering, set the buffer size to math.inf and everything will just work in regular non-pathological situations.
Otherwise, you can set a finite buffer. In this case you should handle triopg.NOTIFY_OVERFLOW marker and react according to your use case. For example, you could re-scan the tables, like you would do at startup. Or could you simply ignore the marker if you are only interested in the newest notifications.
For detailed discussion on buffering, see Trio manual, “Buffering in channels” section.
Note: we can’t politely ask Postgres to slow down: LISTEN backpressure is not supported by asyncpg. There’s also an inherent challenge with Postgres. Postgres (like most broadcast systems) doesn’t really have a good way to communicate backpressure further upstream to the clients that are calling NOTIFY.
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