[jira] [Commented] (AIRFLOW-3118) DAGs not successful on new installation
[
https://issues.apache.org/jira/browse/AIRFLOW-3118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16671023#comment-16671023
]
Huy Nguyen commented on AIRFLOW-3118:
-
[~kaxilnaik] [~ashb] I'm a first-time contributor and would like to start with
this low-impact bug. I was able to reproduce this locally and am testing a fix.
Do you guys mind if I grab this JIRA?
> DAGs not successful on new installation
> ---
>
> Key: AIRFLOW-3118
> URL: https://issues.apache.org/jira/browse/AIRFLOW-3118
> Project: Apache Airflow
> Issue Type: Bug
> Components: DAG
>Affects Versions: 1.10.0
> Environment: Ubuntu 18.04
> Python 3.6
>Reporter: Brylie Christopher Oxley
>Priority: Blocker
> Attachments: Screenshot_20180926_161837.png,
> image-2018-09-26-12-39-03-094.png
>
>
> When trying out Airflow, on localhost, none of the DAG runs are getting to
> the 'success' state. They are getting stuck in 'running', or I manually label
> them as failed:
> !image-2018-09-26-12-39-03-094.png!
> h2. Steps to reproduce
> # create new conda environment
> ** conda create -n airflow
> ** source activate airflow
> # install airflow
> ** pip install apache-airflow
> # initialize Airflow db
> ** airflow initdb
> # disable default paused setting in airflow.cfg
> ** dags_are_paused_at_creation = False
> # {color:#6a8759}run airflow and airflow scheduler (in separate
> terminal){color}
> ** {color:#6a8759}airflow scheduler{color}
> ** {color:#6a8759}airflow webserver{color}
> # {color:#6a8759}unpause example_bash_operator{color}
> ** {color:#6a8759}airflow unpause example_bash_operator{color}
> # {color:#6a8759}log in to Airflow UI{color}
> # {color:#6a8759}turn on example_bash_operator{color}
> # {color:#6a8759}click "Trigger DAG" in `example_bash_operator` row{color}
> h2. {color:#6a8759}Observed result{color}
> {color:#6a8759}The `example_bash_operator` never leaves the "running"
> state.{color}
> h2. {color:#6a8759}Expected result{color}
> {color:#6a8759}The `example_bash_operator` would quickly enter the "success"
> state{color}
>
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[jira] [Assigned] (AIRFLOW-3118) DAGs not successful on new installation
[
https://issues.apache.org/jira/browse/AIRFLOW-3118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Huy Nguyen reassigned AIRFLOW-3118:
---
Assignee: Huy Nguyen
> DAGs not successful on new installation
> ---
>
> Key: AIRFLOW-3118
> URL: https://issues.apache.org/jira/browse/AIRFLOW-3118
> Project: Apache Airflow
> Issue Type: Bug
> Components: DAG
>Affects Versions: 1.10.0
> Environment: Ubuntu 18.04
> Python 3.6
>Reporter: Brylie Christopher Oxley
>Assignee: Huy Nguyen
>Priority: Blocker
> Attachments: Screenshot_20180926_161837.png,
> image-2018-09-26-12-39-03-094.png
>
>
> When trying out Airflow, on localhost, none of the DAG runs are getting to
> the 'success' state. They are getting stuck in 'running', or I manually label
> them as failed:
> !image-2018-09-26-12-39-03-094.png!
> h2. Steps to reproduce
> # create new conda environment
> ** conda create -n airflow
> ** source activate airflow
> # install airflow
> ** pip install apache-airflow
> # initialize Airflow db
> ** airflow initdb
> # disable default paused setting in airflow.cfg
> ** dags_are_paused_at_creation = False
> # {color:#6a8759}run airflow and airflow scheduler (in separate
> terminal){color}
> ** {color:#6a8759}airflow scheduler{color}
> ** {color:#6a8759}airflow webserver{color}
> # {color:#6a8759}unpause example_bash_operator{color}
> ** {color:#6a8759}airflow unpause example_bash_operator{color}
> # {color:#6a8759}log in to Airflow UI{color}
> # {color:#6a8759}turn on example_bash_operator{color}
> # {color:#6a8759}click "Trigger DAG" in `example_bash_operator` row{color}
> h2. {color:#6a8759}Observed result{color}
> {color:#6a8759}The `example_bash_operator` never leaves the "running"
> state.{color}
> h2. {color:#6a8759}Expected result{color}
> {color:#6a8759}The `example_bash_operator` would quickly enter the "success"
> state{color}
>
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[jira] [Commented] (AIRFLOW-3118) DAGs not successful on new installation
[
https://issues.apache.org/jira/browse/AIRFLOW-3118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16692419#comment-16692419
]
Huy Nguyen commented on AIRFLOW-3118:
-
I also have [a
fix|https://github.com/huyanhvn/incubator-airflow/commit/4ab9ef7eaa82f5c5efe45e00c315492aee34b880]
but haven't created a PR yet. Confirmed this Jira duplicates AIRFLOW-1561.
Will cancel.
> DAGs not successful on new installation
> ---
>
> Key: AIRFLOW-3118
> URL: https://issues.apache.org/jira/browse/AIRFLOW-3118
> Project: Apache Airflow
> Issue Type: Bug
> Components: DAG
>Affects Versions: 1.10.0
> Environment: Ubuntu 18.04
> Python 3.6
>Reporter: Brylie Christopher Oxley
>Assignee: Huy Nguyen
>Priority: Blocker
> Fix For: 1.10.2
>
> Attachments: Screenshot_20180926_161837.png,
> image-2018-09-26-12-39-03-094.png
>
>
> When trying out Airflow, on localhost, none of the DAG runs are getting to
> the 'success' state. They are getting stuck in 'running', or I manually label
> them as failed:
> !image-2018-09-26-12-39-03-094.png!
> h2. Steps to reproduce
> # create new conda environment
> ** conda create -n airflow
> ** source activate airflow
> # install airflow
> ** pip install apache-airflow
> # initialize Airflow db
> ** airflow initdb
> # disable default paused setting in airflow.cfg
> ** dags_are_paused_at_creation = False
> # {color:#6a8759}run airflow and airflow scheduler (in separate
> terminal){color}
> ** {color:#6a8759}airflow scheduler{color}
> ** {color:#6a8759}airflow webserver{color}
> # {color:#6a8759}unpause example_bash_operator{color}
> ** {color:#6a8759}airflow unpause example_bash_operator{color}
> # {color:#6a8759}log in to Airflow UI{color}
> # {color:#6a8759}turn on example_bash_operator{color}
> # {color:#6a8759}click "Trigger DAG" in `example_bash_operator` row{color}
> h2. {color:#6a8759}Observed result{color}
> {color:#6a8759}The `example_bash_operator` never leaves the "running"
> state.{color}
> h2. {color:#6a8759}Expected result{color}
> {color:#6a8759}The `example_bash_operator` would quickly enter the "success"
> state{color}
>
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