Asynchronous operations - psycopg 3.1.9 documentation
Psycopg - PostgreSQL database adapter for Python - Psycopg documentation
Asynchronous operations #
Psycopg
Connection
and
Cursor
have counterparts
AsyncConnection
and
AsyncCursor
supporting an
asyncio
interface.
The design of the asynchronous objects is pretty much the same of the sync
ones: in order to use them you will only have to scatter the
await
keyword
here and there.
async with await psycopg.AsyncConnection.connect(
"dbname=test user=postgres") as aconn:
async with aconn.cursor() as acur:
await acur.execute(
"INSERT INTO test (num, data) VALUES (%s, %s)",
(100, "abc'def"))
await acur.execute("SELECT * FROM test")
await acur.fetchone()
# will return (1, 100, "abc'def")
async for record in acur:
print(record)
Changed in version 3.1:
AsyncConnection.connect()
performs DNS name resolution in a non-blocking
way.
Warning
Before version 3.1,
AsyncConnection.connect()
may still block on DNS
name resolution. To avoid that you should
set the hostaddr connection
parameter
, or use the
resolve_hostaddr_async()
to
do it automatically.
Warning
On Windows, Psycopg is not compatible with the default
ProactorEventLoop
. Please use a different loop, for instance
the
SelectorEventLoop
.
For instance, you can use, early in your program:
asyncio.set_event_loop_policy
(asyncio.WindowsSelectorEventLoopPolicy
() )
with
async connections
#
As seen in the basic usage , connections and cursors can act as context managers, so you can run:
with psycopg.connect("dbname=test user=postgres") as conn:
with conn.cursor() as cur:
cur.execute(...)
# the cursor is closed upon leaving the context
# the transaction is committed, the connection closed
For asynchronous connections it’s
almost
what you’d expect, but
not quite. Please note that
connect()
and
cursor()
don’t return a context
: they are both factory methods which return
an
object which can be used as a context
. That’s because there are several use
cases where it’s useful to handle the objects manually and only
close()
them
when required.
As a consequence you cannot use
async
with
connect()
: you have to do it in
two steps instead, as in
aconn = await psycopg.AsyncConnection.connect()
async with aconn:
async with aconn.cursor() as cur:
await cur.execute(...)
which can be condensed into
async
with
await
:
async with await psycopg.AsyncConnection.connect() as aconn:
async with aconn.cursor() as cur:
await cur.execute(...)
…but no less than that: you still need to do the double async thing.
Note that the
AsyncConnection.cursor()
function is not an
async
function
(it never performs I/O), so you don’t need an
await
on it; as a consequence
you can use the normal
async
with
context manager.
Interrupting async operations using Ctrl-C #
If a long running operation is interrupted by a Ctrl-C on a normal connection
running in the main thread, the operation will be cancelled and the connection
will be put in error state, from which can be recovered with a normal
rollback()
.
If the query is running in an async connection, a Ctrl-C will be likely
intercepted by the async loop and interrupt the whole program. In order to
emulate what normally happens with blocking connections, you can use
asyncio’s add_signal_handler()
, to call
Connection.cancel()
:
import asyncio
import signal
async with await psycopg.AsyncConnection.connect() as conn:
loop.add_signal_handler(signal.SIGINT, conn.cancel)
...
Server messages #
PostgreSQL can send, together with the query results, informative messages about the operation just performed, such as warnings or debug information. Notices may be raised even if the operations are successful and don’t indicate an error. You are probably familiar with some of them, because they are reported by psql :
$ psql
=# ROLLBACK;
WARNING: there is no transaction in progress
ROLLBACK
Messages can be also sent by the
PL/pgSQL ‘RAISE’ statement
(at a level
lower than EXCEPTION, otherwise the appropriate
DatabaseError
will be
raised). The level of the messages received can be controlled using the
client_min_messages
setting.
By default, the messages received are ignored. If you want to process them on
the client you can use the
Connection.add_notice_handler()
function to
register a function that will be invoked whenever a message is received. The
message is passed to the callback as a
Diagnostic
instance,
containing all the information passed by the server, such as the message text
and the severity. The object is the same found on the
diag
attribute of the errors raised by the server:
>>> import psycopg
>>> def log_notice(diag):
... print(f"The server says: {diag.severity} - {diag.message_primary}")
>>> conn = psycopg.connect(autocommit=True)
>>> conn.add_notice_handler(log_notice)
>>> cur = conn.execute("ROLLBACK")
The server says: WARNING - there is no transaction in progress
>>> print(cur.statusmessage)
ROLLBACK
Warning
The
Diagnostic
object received by the callback should not be used after
the callback function terminates, because its data is deallocated after
the callbacks have been processed. If you need to use the information
later please extract the attributes requested and forward them instead of
forwarding the whole
Diagnostic
object.
Asynchronous notifications #
Psycopg allows asynchronous interaction with other database sessions using the
facilities offered by PostgreSQL commands
LISTEN
and
NOTIFY
. Please
refer to the PostgreSQL documentation for examples about how to use this form
of communication.
Because of the way sessions interact with notifications (see
NOTIFY
documentation), you should keep the connection in
autocommit
mode if you wish to receive or send notifications in a timely manner.
Notifications are received as instances of
Notify
. If you are reserving a
connection only to receive notifications, the simplest way is to consume the
Connection.notifies
generator. The generator can be stopped using
close()
.
Note
You don’t need an
AsyncConnection
to handle notifications: a normal
blocking
Connection
is perfectly valid.
The following example will print notifications and stop when one containing
the
"stop"
message is received.
import psycopg
conn = psycopg.connect("", autocommit=True)
conn.execute("LISTEN mychan")
gen = conn.notifies()
for notify in gen:
print(notify)
if notify.payload == "stop":
gen.close()
print("there, I stopped")
If you run some
NOTIFY
in a
psql
session:
=# NOTIFY mychan, 'hello';
NOTIFY
=# NOTIFY mychan, 'hey';
NOTIFY
=# NOTIFY mychan, 'stop';
NOTIFY
You may get output from the Python process such as:
Notify(channel='mychan', payload='hello', pid=961823)
Notify(channel='mychan', payload='hey', pid=961823)
Notify(channel='mychan', payload='stop', pid=961823)
there, I stopped
Alternatively, you can use
add_notify_handler()
to register a
callback function, which will be invoked whenever a notification is received,
during the normal query processing; you will be then able to use the
connection normally. Please note that in this case notifications will not be
received immediately, but only during a connection operation, such as a query.
conn.add_notify_handler(lambda n: print(f"got this: {n}"))
# meanwhile in psql...
# =# NOTIFY mychan, 'hey';
# NOTIFY
print(conn.execute("SELECT 1").fetchone())
# got this: Notify(channel='mychan', payload='hey', pid=961823)
# (1,)
Detecting disconnections #
Sometimes it is useful to detect immediately when the connection with the
database is lost. One brutal way to do so is to poll a connection in a loop
running an endless stream of
SELECT
1
…
Don’t
do so: polling is
so
out of fashion. Besides, it is inefficient (unless what you really want is a
client-server generator of ones), it generates useless traffic and will only
detect a disconnection with an average delay of half the polling time.
A more efficient and timely way to detect a server disconnection is to create an additional connection and wait for a notification from the OS that this connection has something to say: only then you can run some checks. You can dedicate a thread (or an asyncio task) to wait on this connection: such thread will perform no activity until awaken by the OS.
In a normal (non asyncio) program you can use the
selectors
module. Because
the
Connection
implements a
fileno()
method you can just
register it as a file-like object. You can run such code in a dedicated thread
(and using a dedicated connection) if the rest of the program happens to have
something else to do too.
import selectors
sel = selectors.DefaultSelector()
sel.register(conn, selectors.EVENT_READ)
while True:
if not sel.select(timeout=60.0):
continue # No FD activity detected in one minute
# Activity detected. Is the connection still ok?
try:
conn.execute("SELECT 1")
except psycopg.OperationalError:
# You were disconnected: do something useful such as panicking
logger.error("we lost our database!")
sys.exit(1)
In an
asyncio
program you can dedicate a
Task
instead and do
something similar using
add_reader
:
import asyncio
ev = asyncio.Event()
loop = asyncio.get_event_loop()
loop.add_reader(conn.fileno(), ev.set)
while True:
try:
await asyncio.wait_for(ev.wait(), 60.0)
except asyncio.TimeoutError:
continue # No FD activity detected in one minute
# Activity detected. Is the connection still ok?
try:
await conn.execute("SELECT 1")
except psycopg.OperationalError:
# Guess what happened
...