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Brylie Christopher Oxley commented on AIRFLOW-3118: --------------------------------------------------- Here is a screenshot of the example_bash_operator DAG logs table: !Screenshot_20180926_161837.png! > 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} > -- This message was sent by Atlassian JIRA (v7.6.3#76005)