[
https://issues.apache.org/jira/browse/AIRFLOW-1131?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15978734#comment-15978734
]
Vitor Baptista commented on AIRFLOW-1131:
-----------------------------------------
[~saguziel] Yes, I went to the host machine and listed the running Docker
containers. The task wasn't running anymore, even though Airflow still thought
it was.
{quote}
The reload task actually also fails because of
```
{models.py:1140} INFO - Dependencies not met for <TaskInstance:
smoke_test.sleep_forever 2017-04-18 00:00:00 [running]>, dependency 'Task
Instance Not Already Running' FAILED: Task is already running, it started on
2017-04-20 11:19:59.597425.
```
so it never actually gets run. The original continues to run in our case.
{quote}
By "in our case", it means you tried the example DAG I wrote in the issue? If
so, with which Airflow version (or commit hash)? Just by the log message, it
seems like it tried running the task again, but failed because it was already
running. It might be the fcase at the time, as I wasn't monitoring closely when
the task stopped running, but it stopped nonetheless.
I'm not sure how/where to debug this issue further. Any ideas?
> DockerOperator jobs time out and get stuck in "running" forever
> ---------------------------------------------------------------
>
> Key: AIRFLOW-1131
> URL: https://issues.apache.org/jira/browse/AIRFLOW-1131
> Project: Apache Airflow
> Issue Type: Bug
> Components: scheduler
> Affects Versions: 1.9.0
> Environment: Python 2.7.12
> git+git://github.com/apache/incubator-airflow.git@35e43f5067f4741640278b765c0e54e4fd45ffa3#egg=airflow[async,password,celery,crypto,postgres,hive,hdfs,jdbc]
> Reporter: Vitor Baptista
>
> With the following DAG and task:
> {code}
> import os
> from datetime import datetime, timedelta
> from airflow.models import DAG
> from airflow.operators.docker_operator import DockerOperator
> default_args = {
> 'owner': 'airflow',
> 'depends_on_past': False,
> 'start_date': datetime(2017, 1, 1),
> 'retries': 3,
> 'retry_delay': timedelta(minutes=10),
> }
> dag = DAG(
> dag_id='smoke_test',
> default_args=default_args,
> max_active_runs=1,
> schedule_interval='@daily'
> )
> sleep_forever_task = DockerOperator(
> task_id='sleep_forever',
> dag=dag,
> image='alpine:latest',
> api_version=os.environ.get('DOCKER_API_VERSION', '1.23'),
> command='sleep {}'.format(60 * 60 * 24),
> )
> {code}
> When I run it, this is what I get:
> {code}
> *** Log file isn't local.
> *** Fetching here:
> http://589ea17432ec:8793/log/smoke_test/sleep_forever/2017-04-18T00:00:00
> [2017-04-20 11:19:58,258] {models.py:172} INFO - Filling up the DagBag from
> /usr/local/airflow/dags/smoke_test.py
> [2017-04-20 11:19:58,438] {base_task_runner.py:112} INFO - Running: ['bash',
> '-c', u'airflow run smoke_test sleep_forever 2017-04-18T00:00:00 --job_id
> 2537 --raw -sd DAGS_FOLDER/smoke_test.py']
> [2017-04-20 11:19:58,888] {base_task_runner.py:95} INFO - Subtask:
> /usr/local/airflow/src/airflow/airflow/configuration.py:128:
> DeprecationWarning: This method will be removed in future versions. Use
> 'parser.read_file()' instead.
> [2017-04-20 11:19:58,888] {base_task_runner.py:95} INFO - Subtask:
> self.readfp(StringIO.StringIO(string))
> [2017-04-20 11:19:59,214] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,214] {__init__.py:56} INFO - Using executor
> CeleryExecutor
> [2017-04-20 11:19:59,227] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,227] {driver.py:120} INFO - Generating grammar tables
> from /usr/lib/python2.7/lib2to3/Grammar.txt
> [2017-04-20 11:19:59,244] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,244] {driver.py:120} INFO - Generating grammar tables
> from /usr/lib/python2.7/lib2to3/PatternGrammar.txt
> [2017-04-20 11:19:59,377] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,377] {models.py:172} INFO - Filling up the DagBag from
> /usr/local/airflow/dags/smoke_test.py
> [2017-04-20 11:19:59,597] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,597] {models.py:1146} INFO - Dependencies all met for
> <TaskInstance: smoke_test.sleep_forever 2017-04-18 00:00:00 [queued]>
> [2017-04-20 11:19:59,605] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,605] {models.py:1146} INFO - Dependencies all met for
> <TaskInstance: smoke_test.sleep_forever 2017-04-18 00:00:00 [queued]>
> [2017-04-20 11:19:59,605] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,605] {models.py:1338} INFO -
> [2017-04-20 11:19:59,606] {base_task_runner.py:95} INFO - Subtask:
> --------------------------------------------------------------------------------
> [2017-04-20 11:19:59,606] {base_task_runner.py:95} INFO - Subtask: Starting
> attempt 1 of 4
> [2017-04-20 11:19:59,606] {base_task_runner.py:95} INFO - Subtask:
> --------------------------------------------------------------------------------
> [2017-04-20 11:19:59,606] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,620] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,620] {models.py:1362} INFO - Executing
> <Task(DockerOperator): sleep_forever> on 2017-04-18 00:00:00
> [2017-04-20 11:19:59,662] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 11:19:59,661] {docker_operator.py:132} INFO - Starting docker
> container from image alpine:latest
> [2017-04-20 12:21:25,661] {models.py:172} INFO - Filling up the DagBag from
> /usr/local/airflow/dags/smoke_test.py
> [2017-04-20 12:21:25,809] {base_task_runner.py:112} INFO - Running: ['bash',
> '-c', u'airflow run smoke_test sleep_forever 2017-04-18T00:00:00 --job_id
> 2574 --raw -sd DAGS_FOLDER/smoke_test.py']
> [2017-04-20 12:21:26,117] {base_task_runner.py:95} INFO - Subtask:
> /usr/local/airflow/src/airflow/airflow/configuration.py:128:
> DeprecationWarning: This method will be removed in future versions. Use
> 'parser.read_file()' instead.
> [2017-04-20 12:21:26,117] {base_task_runner.py:95} INFO - Subtask:
> self.readfp(StringIO.StringIO(string))
> [2017-04-20 12:21:26,301] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 12:21:26,301] {__init__.py:56} INFO - Using executor
> CeleryExecutor
> [2017-04-20 12:21:26,310] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 12:21:26,310] {driver.py:120} INFO - Generating grammar tables
> from /usr/lib/python2.7/lib2to3/Grammar.txt
> [2017-04-20 12:21:26,324] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 12:21:26,324] {driver.py:120} INFO - Generating grammar tables
> from /usr/lib/python2.7/lib2to3/PatternGrammar.txt
> [2017-04-20 12:21:26,426] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 12:21:26,426] {models.py:172} INFO - Filling up the DagBag from
> /usr/local/airflow/dags/smoke_test.py
> [2017-04-20 12:21:26,564] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 12:21:26,563] {models.py:1140} INFO - Dependencies not met for
> <TaskInstance: smoke_test.sleep_forever 2017-04-18 00:00:00 [running]>,
> dependency 'Task Instance State' FAILED: Task is in the 'running' state which
> is not a valid state for execution. The task must be cleared in order to be
> run.
> [2017-04-20 12:21:26,564] {base_task_runner.py:95} INFO - Subtask:
> [2017-04-20 12:21:26,564] {models.py:1140} INFO - Dependencies not met for
> <TaskInstance: smoke_test.sleep_forever 2017-04-18 00:00:00 [running]>,
> dependency 'Task Instance Not Already Running' FAILED: Task is already
> running, it started on 2017-04-20 11:19:59.597425.
> [2017-04-20 12:21:30,821] {jobs.py:2163} WARNING - Recorded pid 113 is not a
> descendant of the current pid 178
> {code}
> Note that it runs the task normally, and after about 1 hour it tries to
> re-load the task, running it again, but then fails because the {{subprocess}}
> started isn't a child of the current process. After this, the task is still
> in {{running}} state, never changing to {{failed}}.
> I haven't tested, but I suspect this doesn't happen if the task keeps
> printing something.
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