fbertos commented on issue #15888:
URL: https://github.com/apache/airflow/issues/15888#issuecomment-852925274
Hi @alexing,
We tried a different approach through the REST API to avoid touching the DB,
this a code example:
```
run_id = str(sys.argv[2])
# We get first the task instance of the DAG run
r = requests.get('http://localhost:8081/api/v1/dags/' + dag_id +
'/dagRuns/' + str(run_id) + '/taskInstances?state=running',
auth=HTTPBasicAuth('admin', 'admin'))
print(r.json()['task_instances'][0])
task_id = r.json()['task_instances'][0]['task_id']
execution_date = r.json()['task_instances'][0]['execution_date']
# We set the tasks to failed
r = requests.post('http://localhost:8081/api/v1/dags/' + dag_id +
'/updateTaskInstancesState',
json={"dry_run": False,
"task_id": str(task_id),
"execution_date": str(execution_date),
"include_upstream": False,
"include_downstream": False,
"include_future": False,
"include_past": False,
"new_state": "failed"
},
auth=HTTPBasicAuth('admin', 'admin'))
if r.status_code == 200:
print("Dag aborted")
```
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