1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
|
Docker Images
=============
Example docker images are maintained at https://github.com/dask/dask-docker
and https://hub.docker.com/r/daskdev/ .
Each image installs the full Dask conda package (including the distributed
scheduler), Numpy, and Pandas on top of a Miniconda installation on top of
a Debian image.
These images are large, around 1GB.
- ``daskdev/dask``: This a normal debian + miniconda image with the full Dask
conda package (including the distributed scheduler), Numpy, and Pandas.
This image is about 1GB in size.
- ``daskdev/dask-notebook``: This is based on the
`Jupyter base-notebook image <https://hub.docker.com/r/jupyter/base-notebook/>`_
and so it is suitable for use both normally as a Jupyter server, and also as
part of a JupyterHub deployment. It also includes a matching Dask software
environment described above. This image is about 2GB in size.
Example
-------
Here is a simple example on the local host network
.. code-block:: bash
docker run -it --network host daskdev/dask dask-scheduler # start scheduler
docker run -it --network host daskdev/dask dask-worker localhost:8786 # start worker
docker run -it --network host daskdev/dask dask-worker localhost:8786 # start worker
docker run -it --network host daskdev/dask dask-worker localhost:8786 # start worker
docker run -it --network host daskdev/dask-notebook # start Jupyter server
Extensibility
-------------
Users can mildly customize the software environment by populating the
environment variables ``EXTRA_APT_PACKAGES``, ``EXTRA_CONDA_PACKAGES``, and
``EXTRA_PIP_PACKAGES``. If these environment variables are set, they will
trigger calls to the following respectively::
apt-get install $EXTRA_APT_PACKAGES
conda install $EXTRA_CONDA_PACKAGES
pip install $EXTRA_PIP_PACKAGES
Note that using these can significantly delay the container from starting,
especially when using ``apt``, or ``conda`` (``pip`` is relatively fast).
Remember that it is important for software versions to match between Dask
workers and Dask clients. As a result, it is often useful to include the same
extra packages in both Jupyter and Worker images.
Source
------
Docker files are maintained at https://github.com/dask/dask-docker.
This repository also includes a docker-compose configuration.
|
