incubator-airflow/docs/executor/dask.rst

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.. Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this file except in compliance
with the License. You may obtain a copy of the License at
.. http://www.apache.org/licenses/LICENSE-2.0
.. Unless required by applicable law or agreed to in writing,
software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied. See the License for the
specific language governing permissions and limitations
under the License.
Dask Executor
=============
:class:`airflow.executors.dask_executor.DaskExecutor` allows you to run Airflow tasks in a Dask Distributed cluster.
Dask clusters can be run on a single machine or on remote networks. For complete
details, consult the `Distributed documentation <https://distributed.readthedocs.io/>`_.
To create a cluster, first start a Scheduler:
.. code-block:: bash
# default settings for a local cluster
DASK_HOST=127.0.0.1
DASK_PORT=8786
dask-scheduler --host $DASK_HOST --port $DASK_PORT
Next start at least one Worker on any machine that can connect to the host:
.. code-block:: bash
dask-worker $DASK_HOST:$DASK_PORT
Edit your ``airflow.cfg`` to set your executor to :class:`airflow.executors.dask_executor.DaskExecutor` and provide
the Dask Scheduler address in the ``[dask]`` section.
Please note:
- Each Dask worker must be able to import Airflow and any dependencies you
require.
- Dask does not support queues. If an Airflow task was created with a queue, a
warning will be raised but the task will be submitted to the cluster.