[jira] [Created] (AIRFLOW-3118) DAGs not successful on new installation

["Brylie Christopher Oxley (JIRA)" <ji...@apache.org>]

Brylie Christopher Oxley created AIRFLOW-3118:
-------------------------------------------------

             Summary: 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
         Attachments: 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 = {color:#6a8759}False`{color}
 # {color:#6a8759}run airflow and airflow scheduler (in separate terminal){color}
 ** {color:#6a8759}`airflow scheduler`{color}
 ** {color:#6a8759}`airflow server`{color}
 # {color:#6a8759}unpause `exam`ple_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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