Segmentation fault on 0.31.0 when inside a Temporal activity

Aperta
#1,292 17 commenti 1 reazione 1 assegnatario Vedi su GitHub

@fantix ci sta già lavorando.

Dal 6/12/2025.

Valutazione

Questa issue non è ancora stata valutata.

Descrizione

I'm not sure if the root cause is with asyncpg or with temporal but this code works fine on 0.30.0, and crashes on 0.31.0 in await asyncpg.connect. Python 3.12.9.

#!/usr/bin/env python
import asyncio
import threading
from datetime import datetime, timedelta

import asyncpg
from temporalio import activity, workflow
from temporalio.client import Client
from temporalio.worker import Worker

TASK_QUEUE = "asyncpg-temporal-test"


async def db_call(label: str) -> None:
    """Connect to Postgres and close."""
    loop = asyncio.get_running_loop()
    print(f"[{label}] thread={threading.get_ident()} loop_id={id(loop)} {loop!r}")

    conn = await asyncpg.connect(
        host="localhost",
        port=5432,
        database="database",
        user="andrei",
    )

    print(f"[{label}] connected to Postgres")

    await conn.close()


@activity.defn
async def db_activity() -> None:
    return await db_call("activity")


@workflow.defn
class TestWorkflow:
    @workflow.run
    async def run(self) -> None:
        print("[workflow] starting db_activity")
        return await workflow.execute_activity(
            db_activity,
            start_to_close_timeout=timedelta(seconds=30),
            task_queue=TASK_QUEUE,
        )


async def main() -> None:
    # 1) Baseline: asyncpg on a fresh loop, no Temporal
    print("=== 1) Direct asyncpg on fresh loop (no Temporal) ===")
    await db_call("direct")

    # 2) Bring up Temporal client + worker and run a workflow that calls db_activity
    print("\n=== 2) Temporal worker + workflow calling async activity ===")
    client = await Client.connect("localhost:7233")
    worker = Worker(
        client,
        task_queue=TASK_QUEUE,
        workflows=[TestWorkflow],
        activities=[db_activity],
    )

    async with worker:
        # This executes TestWorkflow.run, which in turn executes db_activity
        result = await client.execute_workflow(
            TestWorkflow.run,
            id=datetime.now().isoformat(),
            task_queue=TASK_QUEUE,
        )
        print(f"[main] workflow result: {result}")


if __name__ == "__main__":
    asyncio.run(main())

Repro steps:

  1. Start a temporal server: temporal server start-dev
  2. In a separate terminal, run the code above:
% python test_asyncpg.py               

=== 1) Direct asyncpg on fresh loop (no Temporal) ===
[direct] thread=8654430720 loop_id=4353195520 <_UnixSelectorEventLoop running=True closed=False debug=False>
[direct] connected to Postgres

=== 2) Temporal worker + workflow calling async activity ===
[workflow] starting db_activity
[activity] thread=8654430720 loop_id=4353195520 <_UnixSelectorEventLoop running=True closed=False debug=False>
zsh: segmentation fault  python test_asyncpg.py
Lingua principale
Python
Stelle
8.1k
Fork
469
Merge medio
4h 42m
PR unite (30g)
6

Guida per i contributori

Nessuna guida per i contributori indicizzata per questo repository

Come iniziare

  1. Leggi tutta la issue e poi la guida ai contributi del progetto.
  2. Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
  3. Fai un fork del repository e lavora su un branch.
  4. Apri una pull request che faccia riferimento al numero della issue.

Altre issue di MagicStack/asyncpg

Tutte le issue di MagicStack/asyncpg

Issue simili

Altre issue su Python

Ricevi le nuove issue nella tua casella

Un breve riepilogo di issue GitHub adatte ai principianti.