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From "Iuliia Volkova (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (AIRFLOW-3118) DAGs not successful on new installation
Date Mon, 26 Nov 2018 07:46:00 GMT

    [ https://issues.apache.org/jira/browse/AIRFLOW-3118?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16698576#comment-16698576
] 

Iuliia Volkova commented on AIRFLOW-3118:
-----------------------------------------

https://issues.apache.org/jira/browse/AIRFLOW-1561 - the fix was merged [~huyanhvn],[~ashb],
will be good to close this task. 

> 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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