如何在 Airflow 上重新启动失败的任务

Question

I am using a LocalExecutor and my dag has 3 tasks where task(C) is dependant on task(A). Task(B) and task(A) can run in parallel something like below

A-->C

B

So task(A) has failed and but task(B) ran fine . Task(C) is yet to run as task(A) has failed.

My question is how do i re run Task(A) alone so Task(C) runs once Task(A) completes and Airflow UI marks them as success.

Answer 1

In the UI:

1. Go to the dag, and dag run of the run you want to change
2. Click on GraphView
3. Click on task A
4. Click "Clear"

This will let task A run again, and if it succeeds, task C should run. This works because when you clear a task's status, the scheduler will treat it as if it hadn't run before for this dag run.

Answer 2

Here's an alternate solution where you can have it clear and retry certain tasks automatically. If you only want to clear a certain task, you would not use the -d (downstream) flag:

from airflow import DAG
from airflow.operators.dummy_operator import DummyOperator
from airflow.operators.bash_operator import BashOperator
from datetime import datetime, timedelta


def clear_upstream_task(context):
    execution_date = context.get("execution_date")
    clear_tasks = BashOperator(
        task_id='clear_tasks',
        bash_command=f'airflow tasks clear -s {execution_date}  -t t1 -d -y clear_upstream_task'
    )
    return clear_tasks.execute(context=context)


# Default settings applied to all tasks
default_args = {
    'owner': 'airflow',
    'depends_on_past': False,
    'email_on_failure': False,
    'email_on_retry': False,
    'retries': 1,
    'retry_delay': timedelta(seconds=5)
}


with DAG('clear_upstream_task',
         start_date=datetime(2021, 1, 1),
         max_active_runs=3,
         schedule_interval=timedelta(minutes=5),
         default_args=default_args,
         catchup=False
         ) as dag:
    t0 = DummyOperator(
        task_id='t0'
    )

    t1 = DummyOperator(
        task_id='t1'
    )

    t2 = DummyOperator(
        task_id='t2'
    )
    t3 = BashOperator(
        task_id='t3',
        bash_command='exit 123',
        on_failure_callback=clear_upstream_task
    )

    t0 >> t1 >> t2 >> t3