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Posted to commits@airflow.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2019/01/24 23:59:00 UTC

[jira] [Commented] (AIRFLOW-3746) DockerOperator tasks in Airflow celery worker are stuck in "Running" state

    [ https://issues.apache.org/jira/browse/AIRFLOW-3746?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16751712#comment-16751712 ] 

ASF GitHub Bot commented on AIRFLOW-3746:
-----------------------------------------

ashwiniadiga commented on pull request #4583: [AIRFLOW-3746] Fix to prevent missing container exit
URL: https://github.com/apache/airflow/pull/4583
 
 
   My PR addresses the following [Airflow Jira](https://issues.apache.org/jira/browse/AIRFLOW-3746)
   
   switch from cli.logs to cli.attach to prevent missing container exit
   
   Make sure you have checked _all_ steps below.
   
   ### Jira
   
   - [ ] My PR addresses the following [Airflow Jira](https://issues.apache.org/jira/browse/AIRFLOW/) issues and references them in the PR title. For example, "\[AIRFLOW-XXX\] My Airflow PR"
     - https://issues.apache.org/jira/browse/AIRFLOW-XXX
     - In case you are fixing a typo in the documentation you can prepend your commit with \[AIRFLOW-XXX\], code changes always need a Jira issue.
   
   ### Description
   
   - [ ] Here are some details about my PR, including screenshots of any UI changes:
   
   ### Tests
   
   - [ ] My PR adds the following unit tests __OR__ does not need testing for this extremely good reason:
   
   ### Commits
   
   - [ ] My commits all reference Jira issues in their subject lines, and I have squashed multiple commits if they address the same issue. In addition, my commits follow the guidelines from "[How to write a good git commit message](http://chris.beams.io/posts/git-commit/)":
     1. Subject is separated from body by a blank line
     1. Subject is limited to 50 characters (not including Jira issue reference)
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     1. Subject uses the imperative mood ("add", not "adding")
     1. Body wraps at 72 characters
     1. Body explains "what" and "why", not "how"
   
   ### Documentation
   
   - [ ] In case of new functionality, my PR adds documentation that describes how to use it.
     - When adding new operators/hooks/sensors, the autoclass documentation generation needs to be added.
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   ### Code Quality
   
   - [ ] Passes `flake8`
   
 
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>  DockerOperator tasks in Airflow celery worker are stuck in "Running" state
> ---------------------------------------------------------------------------
>
>                 Key: AIRFLOW-3746
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-3746
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: celery
>            Reporter: Ashwini
>            Priority: Major
>
> With the following DAG and task and using the celery executor, the task runs but never completes.
> *from* *airflow* *import* DAG
> *from* *airflow.operators.bash_operator* *import* BashOperator
> *from* *airflow.operators.docker_operator* *import* DockerOperator
> *from* *datetime* *import* datetime, timedelta
>  
>  
> default_args = {
>     "owner": "airflow",
>     "depends_on_past": False,
>     "start_date": datetime(2018, 12, 31),
>     "email": ["airflow@airflow.com"],
>     "email_on_failure": False,
>     "email_on_retry": False,
>     "retries": 1,
>     "retry_delay": timedelta(minutes=5),
> }
>  
> dag = DAG("celery_test", default_args=default_args, schedule_interval=timedelta(1))
>   DockerOperator(task_id ="test_docker", image = "gitlab-registry.nordstrom.com/merchprice/airflow:hello_python", retries=0, xcom_all=True , dag = dag)
>  
> t2.set_upstream(t1)
> ------------------------
> This is verison of airfow and celery and using
> python 3.6.
> apache-airflow   1.10.1     
> celery           4.1.1      
> docker           3.7.0      
>  
> ------------------------------
> Here is the logs:
> *** Log file does not exist: /home/x9eu/airflow/logs/celery_test/test_docker/2019-01-16T00:00:00+00:00/1.log
> *** Fetching from: http://test.com:8793/log/celery_test/test_docker/2019-01-16T00:00:00+00:00/1.log
>  
> [2019-01-21 20:49:26,260] \{models.py:1361} INFO - Dependencies all met for <TaskInstance: celery_test.test_docker 2019-01-16T00:00:00+00:00 [queued]>
> [2019-01-21 20:49:26,742] \{models.py:1361} INFO - Dependencies all met for <TaskInstance: celery_test.test_docker 2019-01-16T00:00:00+00:00 [queued]>
> [2019-01-21 20:49:26,742] \{models.py:1573} INFO - 
> --------------------------------------------------------------------------------
> Starting attempt 1 of 1
> --------------------------------------------------------------------------------
>  
> [2019-01-21 20:49:26,925] \{models.py:1595} INFO - Executing <Task(DockerOperator): test_docker> on 2019-01-16T00:00:00+00:00
> [2019-01-21 20:49:26,925] \{base_task_runner.py:118} INFO - Running: ['bash', '-c', 'airflow run celery_test test_docker 2019-01-16T00:00:00+00:00 --pickle 20 --job_id 59 --raw --cfg_path /tmp/tmps0u9a_e0']
> [2019-01-21 20:49:27,524] \{base_task_runner.py:101} INFO - Job 59: Subtask test_docker [2019-01-21 20:49:27,523] \{settings.py:174} INFO - setting.configure_orm(): Using pool settings. pool_size=5, pool_recycle=1800
> [2019-01-21 20:49:28,187] \{base_task_runner.py:101} INFO - Job 59: Subtask test_docker [2019-01-21 20:49:28,185] \{__init__.py:51} INFO - Using executor CeleryExecutor
> [2019-01-21 20:49:29,544] \{base_task_runner.py:101} INFO - Job 59: Subtask test_docker [2019-01-21 20:49:29,542] \{cli.py:470} INFO - Loading pickle id 20
> [2019-01-21 20:49:31,140] \{base_task_runner.py:101} INFO - Job 59: Subtask test_docker [2019-01-21 20:49:31,137] \{cli.py:484} INFO - Running <TaskInstance: celery_test.test_docker 2019-01-16T00:00:00+00:00 [running]> on host test.com
> [2019-01-21 20:49:32,603] \{docker_operator.py:182} INFO - Starting docker container from image registry/airflow:hello_python
> [2019-01-21 20:49:48,770] \{docker_operator.py:228} INFO - Hello, %d 0
> Hello, %d 1
> Hello, %d 2
> Hello, %d 3
> Hello, %d 4
> Hello, %d 5
> Hello, %d 6
> Hello, %d 7
> Hello, %d 8
> Hello, %d 9
> Hello, %d 10
> Hello, %d 11
> Hello, %d 12
> Hello, %d 13
> Hello, %d 14
>  
>  



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