DrTeja opened a new issue #16243:
URL: https://github.com/apache/airflow/issues/16243
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**Apache Airflow version**: 2.0
**Kubernetes version (if you are using kubernetes)** (use `kubectl
version`): NA
**Environment**: MAC
- **Cloud provider or hardware configuration**: NA
- **OS** (e.g. from /etc/os-release): Mac Big sur
- **Kernel** (e.g. `uname -a`):local 20.4.0 Darwin Kernel Version 20.4.0
- **Install tools**: NA
- **Others**: NA
**What happened**:
<!-- (please include exact error messages if you can) -->
We are using airflow jobs to upload data to big query and created python
operators and triggering them via creating dags. So when we run manually suing
airflow tasks test <dag_id> <task_id> <date> things works fine ,but the same
when triggered via UI, its failing with error
*** Reading local file:
/Users/rdoppalapudi/airflow_project//logs/ygrene_etl_process/run_main_etl_project/2021-06-03T14:55:02.676999+00:00/1.log
[2021-06-03 10:55:07,575] {taskinstance.py:876} INFO - Dependencies all met
for <TaskInstance: ygrene_etl_process.run_main_etl_project
2021-06-03T14:55:02.676999+00:00 [queued]>
[2021-06-03 10:55:07,580] {taskinstance.py:876} INFO - Dependencies all met
for <TaskInstance: ygrene_etl_process.run_main_etl_project
2021-06-03T14:55:02.676999+00:00 [queued]>
[2021-06-03 10:55:07,580] {taskinstance.py:1067} INFO -
--------------------------------------------------------------------------------
[2021-06-03 10:55:07,580] {taskinstance.py:1068} INFO - Starting attempt 1
of 1
[2021-06-03 10:55:07,580] {taskinstance.py:1069} INFO -
--------------------------------------------------------------------------------
[2021-06-03 10:55:07,586] {taskinstance.py:1087} INFO - Executing
<Task(PythonOperator): run_main_etl_project> on 2021-06-03T14:55:02.676999+00:00
[2021-06-03 10:55:07,589] {standard_task_runner.py:52} INFO - Started
process 9133 to run task
[2021-06-03 10:55:07,595] {standard_task_runner.py:76} INFO - Running:
['airflow', 'tasks', 'run', 'ygrene_etl_process', 'run_main_etl_project',
'2021-06-03T14:55:02.676999+00:00', '--job-id', '16', '--pool', 'default_pool',
'--raw', '--subdir', '/Users/rdoppalapudi/airflow_project/dags/etl_airflow.py',
'--cfg-path', '/var/folders/5n/72l0n8zd261dnlkm3n902my0pmw_c2/T/tmp4fd_41fd',
'--error-file', '/var/folders/5n/72l0n8zd261dnlkm3n902my0pmw_c2/T/tmpn67lg3s9']
[2021-06-03 10:55:07,597] {standard_task_runner.py:77} INFO - Job 16:
Subtask run_main_etl_project
[2021-06-03 10:55:07,625] {logging_mixin.py:104} INFO - Running
<TaskInstance: ygrene_etl_process.run_main_etl_project
2021-06-03T14:55:02.676999+00:00 [running]> on host 1.0.0.127.in-addr.arpa
[2021-06-03 10:55:07,649] {taskinstance.py:1280} INFO - Exporting the
following env vars:
AIRFLOW_CTX_DAG_OWNER=ygrene
AIRFLOW_CTX_DAG_ID=ygrene_etl_process
AIRFLOW_CTX_TASK_ID=run_main_etl_project
AIRFLOW_CTX_EXECUTION_DATE=2021-06-03T14:55:02.676999+00:00
AIRFLOW_CTX_DAG_RUN_ID=manual__2021-06-03T14:55:02.676999+00:00
[2021-06-03 10:55:07,925] {etl_airflow.py:32} INFO -
run_id = manual__2021-06-03T14:55:02.676999+00:00
dag_id = DAG: ygrene_etl_process
task_id = Task(PythonOperator): run_main_etl_project
[2021-06-03 10:55:08,246] {transport.py:1819} INFO - Connected (version 2.0,
client OpenSSH_7.4)
[2021-06-03 10:55:08,954] {transport.py:1819} INFO - Authentication
(publickey) successful!
[2021-06-03 10:55:14,328] {data_integration.py:29} INFO - Uploading data for
projects
[2021-06-03 10:55:14,329] {data_integration.py:31} INFO - Creating bigq obj
[2021-06-03 10:55:26,035] {bigquery_wrapper_apis.py:117} INFO - Got the
original json to be uploaded
[2021-06-03 10:55:27,451] {bigquery_wrapper_apis.py:102} INFO - Creating big
client obj
[2021-06-03 10:55:27,687] {local_task_job.py:151} INFO - Task exited with
return code Negsignal.SIGSEGV
**What you expected to happen**:
<!-- What do you think went wrong? -->
No Sure whats going wrong exactly as scheduler prompt shows up some logs
with error
Running <TaskInstance: ygrene_etl_process.run_main_etl_project
2021-06-03T14:55:02.676999+00:00 [queued]> on host 1.0.0.127.in-addr.arpa
The process has forked and you cannot use this CoreFoundation functionality
safely. You MUST exec().
Break on
__THE_PROCESS_HAS_FORKED_AND_YOU_CANNOT_USE_THIS_COREFOUNDATION_FUNCTIONALITY___YOU_MUST_EXEC__()
to debug.
[2021-06-03 10:55:28,046] {scheduler_job.py:1205} INFO - Executor reports
execution of ygrene_etl_process.run_main_etl_project execution_date=2021-06-03
14:55:02.676999+00:00 exited with status success for try_number 1
[2021-06-03 10:55:29,427] {dagrun.py:429} ERROR - Marking run <DagRun
ygrene_etl_process @ 2021-06-03 14:55:02.676999+00:00:
manual__2021-06-03T14:55:02.676999+00:00, externally triggered: True> failed
[2021-06-03 10:56:10,676] {scheduler_job.py:1822} INFO - Resetting orphaned
tasks for active dag runs
[2021-06-03 11:01:10,846] {scheduler_job.py:1822} INFO - Resetting orphaned
tasks for active dag runs
**How to reproduce it**:
<!---
As minimally and precisely as possible. Keep in mind we do not have access
to your cluster or dags.
If you are using kubernetes, please attempt to recreate the issue using
minikube or kind.
## Install minikube/kind
- Minikube https://minikube.sigs.k8s.io/docs/start/
- Kind https://kind.sigs.k8s.io/docs/user/quick-start/
If this is a UI bug, please provide a screenshot of the bug or a link to a
youtube video of the bug in action
You can include images using the .md style of

To record a screencast, mac users can use QuickTime and then create an
unlisted youtube video with the resulting .mov file.
--->
No Sure really how to reproduce as these things all working fine till last
week
**Anything else we need to know**:
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How often does this problem occur? Once? Every time etc?
Any relevant logs to include? Put them here in side a detail tag:
<details><summary>x.log</summary> lots of stuff </details>
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Dag task works fine manually not sure why its failing only during scheduled
task run from UI and there is no clear information on what is happening
internally, also the issue looks to be more generic and related to
multiprocessing ( this we understand, after looking related information on web)
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