Taragolis commented on PR #27381:
URL: https://github.com/apache/airflow/pull/27381#issuecomment-1296278774
### Sample DAG
```python
import os
import signal
import pendulum
from airflow.decorators import dag, task
@dag(
schedule_interval=None,
start_date=pendulum.datetime(2022, 1, 1, tz="UTC"),
catchup=False,
tags=["signal.SIGSEGV", "Return Code: 11", "Negsignal.SIGSEGV"]
)
def example_sigsegv():
@task
def sigsegv_signal():
pid = os.getpid()
os.kill(pid, signal.SIGSEGV)
sigsegv_signal()
dag = example_sigsegv()
```
### Task Output Log
```text
[2022-10-30, 14:45:54 UTC] {taskinstance.py:1159} INFO - Dependencies all
met for <TaskInstance: example_sigsegv.sigsegv_signal
manual__2022-10-30T14:45:52.990793+00:00 [queued]>
[2022-10-30, 14:45:54 UTC] {taskinstance.py:1159} INFO - Dependencies all
met for <TaskInstance: example_sigsegv.sigsegv_signal
manual__2022-10-30T14:45:52.990793+00:00 [queued]>
[2022-10-30, 14:45:54 UTC] {taskinstance.py:1355} INFO -
--------------------------------------------------------------------------------
[2022-10-30, 14:45:54 UTC] {taskinstance.py:1356} INFO - Starting attempt 1
of 1
[2022-10-30, 14:45:54 UTC] {taskinstance.py:1357} INFO -
--------------------------------------------------------------------------------
[2022-10-30, 14:45:54 UTC] {taskinstance.py:1376} INFO - Executing
<Task(_PythonDecoratedOperator): sigsegv_signal> on 2022-10-30
14:45:52.990793+00:00
[2022-10-30, 14:45:54 UTC] {standard_task_runner.py:55} INFO - Started
process 1261 to run task
[2022-10-30, 14:45:54 UTC] {standard_task_runner.py:82} INFO - Running:
['airflow', 'tasks', 'run', 'example_sigsegv', 'sigsegv_signal',
'manual__2022-10-30T14:45:52.990793+00:00', '--job-id', '49', '--raw',
'--subdir', 'DAGS_FOLDER/example_sigsegv.py', '--cfg-path', '/tmp/tmp3z3_7zqd']
[2022-10-30, 14:45:54 UTC] {standard_task_runner.py:83} INFO - Job 49:
Subtask sigsegv_signal
[2022-10-30, 14:45:54 UTC] {task_command.py:376} INFO - Running
<TaskInstance: example_sigsegv.sigsegv_signal
manual__2022-10-30T14:45:52.990793+00:00 [running]> on host 2c85bba084bb
[2022-10-30, 14:45:54 UTC] {taskinstance.py:1585} INFO - Exporting the
following env vars:
AIRFLOW_CTX_DAG_OWNER=airflow
AIRFLOW_CTX_DAG_ID=example_sigsegv
AIRFLOW_CTX_TASK_ID=sigsegv_signal
AIRFLOW_CTX_EXECUTION_DATE=2022-10-30T14:45:52.990793+00:00
AIRFLOW_CTX_TRY_NUMBER=1
AIRFLOW_CTX_DAG_RUN_ID=manual__2022-10-30T14:45:52.990793+00:00
[2022-10-30, 14:45:54 UTC] {local_task_job.py:176} CRITICAL -
******************************************* Received SIGSEGV
*******************************************
SIGSEGV (Segmentation Violation) signal indicates
an attempt by a program/library to write or read outside its allocated
memory.
In Python environment usually this signal refers to libraries which use low
level C API.
Make sure that you use use right libraries/Docker Images
for your architecture (Intel/ARM) and/or Operational System (Linux/macOS).
********************************************************************************************************
[2022-10-30, 14:45:54 UTC] {local_task_job.py:178} INFO - Task exited with
return code Negsignal.SIGSEGV
[2022-10-30, 14:45:54 UTC] {local_task_job.py:287} INFO - 0 downstream tasks
scheduled from follow-on schedule check
```
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