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https://issues.apache.org/jira/browse/AIRFLOW-172?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15505471#comment-15505471
 ] 

Jiacai Liu commented on AIRFLOW-172:
------------------------------------

I have writed my own dag which runs hourly, In Web UI, when I run the failed 
task, why still alert with message "Only works with the CeleryExecutor, sorry
"

> All example DAGs report "Only works with the CeleryExecutor, sorry"
> -------------------------------------------------------------------
>
>                 Key: AIRFLOW-172
>                 URL: https://issues.apache.org/jira/browse/AIRFLOW-172
>             Project: Apache Airflow
>          Issue Type: Bug
>          Components: executor
>    Affects Versions: Airflow 1.7.1
>            Reporter: Andre
>
> After installing airflow and trying to run some example DAGs I was faced with 
> {{Only works with the CeleryExecutor, sorry}}
> on every DAG I tried to run.
> {code}$ pip list
> airflow (1.7.1.2)
> alembic (0.8.6)
> Babel (1.3)
> bitarray (0.8.1)
> cffi (1.6.0)
> chartkick (0.4.2)
> croniter (0.3.12)
> cryptography (1.3.2)
> dill (0.2.5)
> docutils (0.12)
> Flask (0.10.1)
> Flask-Admin (1.4.0)
> Flask-Cache (0.13.1)
> Flask-Login (0.2.11)
> Flask-WTF (0.12)
> funcsigs (0.4)
> future (0.15.2)
> google-apputils (0.4.2)
> gunicorn (19.3.0)
> hive-thrift-py (0.0.1)
> idna (2.1)
> impyla (0.13.7)
> itsdangerous (0.24)
> Jinja2 (2.8)
> lockfile (0.12.2)
> Mako (1.0.4)
> Markdown (2.6.6)
> MarkupSafe (0.23)
> mysqlclient (1.3.7)
> numpy (1.11.0)
> pandas (0.18.1)
> pip (8.1.2)
> ply (3.8)
> protobuf (2.6.1)
> pyasn1 (0.1.9)
> pycparser (2.14)
> Pygments (2.1.3)
> PyHive (0.1.8)
> pykerberos (1.1.10)
> python-daemon (2.1.1)
> python-dateutil (2.5.3)
> python-editor (1.0)
> python-gflags (3.0.5)
> pytz (2016.4)
> requests (2.10.0)
> setproctitle (1.1.10)
> setuptools (21.2.1)
> six (1.10.0)
> snakebite (2.9.0)
> SQLAlchemy (1.0.13)
> thrift (0.9.3)
> thriftpy (0.3.8)
> unicodecsv (0.14.1)
> Werkzeug (0.11.10)
> WTForms (2.1)
> {code}
> {code}
> $ airflow webserver -p 8088
> [2016-05-25 15:22:48,204] {__init__.py:36} INFO - Using executor LocalExecutor
>   ____________       _____________
>  ____    |__( )_________  __/__  /________      __
> ____  /| |_  /__  ___/_  /_ __  /_  __ \_ | /| / /
> ___  ___ |  / _  /   _  __/ _  / / /_/ /_ |/ |/ /
>  _/_/  |_/_/  /_/    /_/    /_/  \____/____/|__/
> [2016-05-25 15:22:49,066] {models.py:154} INFO - Filling up the DagBag from 
> /opt/airflow/production/dags
> Running the Gunicorn server with 4 syncworkers on host 0.0.0.0 and port 8088 
> with a timeout of 120...
> [2016-05-25 15:22:49 +1000] [20191] [INFO] Starting gunicorn 19.3.0
> [2016-05-25 15:22:49 +1000] [20191] [INFO] Listening at: http://0.0.0.0:8088 
> (20191)
> [2016-05-25 15:22:49 +1000] [20191] [INFO] Using worker: sync
> [2016-05-25 15:22:49 +1000] [20197] [INFO] Booting worker with pid: 20197
> [2016-05-25 15:22:49 +1000] [20198] [INFO] Booting worker with pid: 20198
> [2016-05-25 15:22:49 +1000] [20199] [INFO] Booting worker with pid: 20199
> [2016-05-25 15:22:49 +1000] [20200] [INFO] Booting worker with pid: 20200
> [2016-05-25 15:22:50,086] {__init__.py:36} INFO - Using executor LocalExecutor
> [2016-05-25 15:22:50,176] {__init__.py:36} INFO - Using executor LocalExecutor
> [2016-05-25 15:22:50,262] {__init__.py:36} INFO - Using executor LocalExecutor
> [2016-05-25 15:22:50,364] {__init__.py:36} INFO - Using executor LocalExecutor
> [2016-05-25 15:22:50,931] {models.py:154} INFO - Filling up the DagBag from 
> /opt/airflow/production/dags
> [2016-05-25 15:22:51,000] {models.py:154} INFO - Filling up the DagBag from 
> /opt/airflow/production/dags
> [2016-05-25 15:22:51,093] {models.py:154} INFO - Filling up the DagBag from 
> /opt/airflow/production/dags
> [2016-05-25 15:22:51,191] {models.py:154} INFO - Filling up the DagBag from 
> /opt/airflow/production/dags
> {code}



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