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}
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
