[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=16870963#comment-16870963
]
ASF subversion and git services commented on AIRFLOW-3746:
--
Commit 77592ad9ab79a004cb2b4c9dc3de7a273512d959 in airflow's branch
refs/heads/v1-10-test from ashwiniadiga
[ https://gitbox.apache.org/repos/asf?p=airflow.git;h=77592ad ]
[AIRFLOW-3746] Fix DockerOperator missing container exit (#4583)
switch to cli.attach to prevent missing container exit
(cherry picked from commit 4a328b38a2252ab21692eb73386706ca591a9c1d)
> 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
>Assignee: Ashwini
>Priority: Major
> Fix For: 1.10.4
>
>
> 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": ["airf...@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
>
> [2019-01-21 20:49:26,742] \{models.py:1361} INFO - Dependencies all met for
>
> [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
> 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
>
> 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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[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=16869785#comment-16869785
]
ASF subversion and git services commented on AIRFLOW-3746:
--
Commit 3bd9079f20209246e14294bf1036af508db98fec in airflow's branch
refs/heads/v1-10-test from ashwiniadiga
[ https://gitbox.apache.org/repos/asf?p=airflow.git;h=3bd9079 ]
[AIRFLOW-3746] Fix DockerOperator missing container exit (#4583)
switch to cli.attach to prevent missing container exit
(cherry picked from commit 4a328b38a2252ab21692eb73386706ca591a9c1d)
> 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
>Assignee: Ashwini
>Priority: Major
> Fix For: 1.10.4
>
>
> 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": ["airf...@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
>
> [2019-01-21 20:49:26,742] \{models.py:1361} INFO - Dependencies all met for
>
> [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
> 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
>
> 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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[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=16869562#comment-16869562
]
ASF GitHub Bot commented on AIRFLOW-3746:
-
ashb commented on pull request #4583: [AIRFLOW-3746] Fix DockerOperator missing
container exit
URL: https://github.com/apache/airflow/pull/4583
This is an automated message from the Apache Git Service.
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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
>Assignee: Ashwini
>Priority: Major
> Fix For: 2.0.0
>
>
> 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": ["airf...@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
>
> [2019-01-21 20:49:26,742] \{models.py:1361} INFO - Dependencies all met for
>
> [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
> 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
>
> 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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[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=16869563#comment-16869563
]
ASF subversion and git services commented on AIRFLOW-3746:
--
Commit 4a328b38a2252ab21692eb73386706ca591a9c1d in airflow's branch
refs/heads/master from ashwiniadiga
[ https://gitbox.apache.org/repos/asf?p=airflow.git;h=4a328b3 ]
[AIRFLOW-3746] Fix DockerOperator missing container exit (#4583)
switch to cli.attach to prevent missing container exit
> 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
>Assignee: Ashwini
>Priority: Major
> Fix For: 2.0.0
>
>
> 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": ["airf...@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
>
> [2019-01-21 20:49:26,742] \{models.py:1361} INFO - Dependencies all met for
>
> [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
> 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
>
> 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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[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=16837183#comment-16837183
]
Fokko Driesprong commented on AIRFLOW-3746:
---
Targeted for Airflow 2.0 since it is not Python2 compatible.
> 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
>Assignee: Ashwini
>Priority: Major
> Fix For: 2.0.0
>
>
> 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": ["airf...@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
>
> [2019-01-21 20:49:26,742] \{models.py:1361} INFO - Dependencies all met for
>
> [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
> 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
>
> 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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[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=16797395#comment-16797395
]
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
This is an automated message from the Apache Git Service.
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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": ["airf...@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
>
> [2019-01-21 20:49:26,742] \{models.py:1361} INFO - Dependencies all met for
>
> [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
> 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
>
> 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
>
>
--
This message was sent by Atlassian JIRA
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[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=16797396#comment-16797396
]
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
[(https://issues.apache.org/jira/browse/AIRFLOW-3746)]
- https://issues.apache.org/jira/browse/AIRFLOW-3746
### Description
- My PR addresses the following [Airflow
Jira](https://issues.apache.org/jira/browse/AIRFLOW/)
switch from cli.logs to cli.attach to prevent missing container exit
With DockerOperator and using the celery executor, the task runs but never
completes. It hungs as
container.logs / certain container hangs.
since The contianer.logs() function is a wrapper around container .attach()
method, which you can use instead if you want to fetch/stream container output
without first retrieving the entire backlog.
So changing the container.logs() to container.attach() gives the same output
and completes the task.
with the following log.
The docker_operator Task exited with return code 0
- [ ] My PR adds the following unit tests __OR__ does not need testing for
this extremely good reason:All the existing tests are fixed. No new tests are
not required.
### 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)
1. Subject does not end with a period
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.
- All the public functions and the classes in the PR contain docstrings
that explain what it does
### Code Quality
- [ ] Passes `flake8`
This is an automated message from the Apache Git Service.
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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": ["airf...@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
>
> [2019-01-21 20:49:26,742] \{models.py:1361} I
[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)
1. Subject does not end with a period
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.
- All the public functions and the classes in the PR contain docstrings
that explain what it does
### Code Quality
- [ ] Passes `flake8`
This is an automated message from the Apache Git Service.
To respond to the message, please log on GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
> 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": ["airf...@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
>
> [2019-01-21 20:49:26,742] \{models.py:1361} INFO - Dependencies all met for
>
> [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
> on 2019-01-16T00:00:00+00:00
> [2019-01-21 20:49:26,925] \{base_task_runner.py:118} INFO
