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This commit is contained in:
Carol Willing 2016-04-18 08:54:55 -07:00
parent f1851d6dd3
commit 7ac7c82040

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@ -219,11 +219,15 @@ docker logs jupyterhub
In this deployment, JupyterHub uses DockerSpawner to spawn single-user In this deployment, JupyterHub uses DockerSpawner to spawn single-user
Notebook servers. You set the desired Notebook server image in a Notebook servers. You set the desired Notebook server image in a
`DOCKER_CONTAINER_IMAGE` environment variable. When spawning single-user `DOCKER_CONTAINER_IMAGE` environment variable.
notebooks, JupyterHub reads the image name from the`DOCKER_CONTAINER_IMAGE`
environment variable contained in `jupyterhub_config.py` file: When spawning single-user notebooks, JupyterHub reads the DockerSpawner's
image name from `jupyterhub_config.py` file. This file includes the
DockerSpawner's image name which refers to desired image in the
`DOCKER_CONTAINER_IMAGE` environment variable:
``` ```
# DockerSpawner setting in jupyterhub_config.py
c.DockerSpawner.container_image = os.environ['DOCKER_CONTAINER_IMAGE'] c.DockerSpawner.container_image = os.environ['DOCKER_CONTAINER_IMAGE']
``` ```
@ -231,10 +235,12 @@ By default, the`DOCKER_CONTAINER_IMAGE` environment variable is set in the
`.env` file. `.env` file.
``` ```
# Setting in the .env file
DOCKER_CONTAINER_IMAGE=jupyter/scipy-notebook:2d878db5cbff DOCKER_CONTAINER_IMAGE=jupyter/scipy-notebook:2d878db5cbff
``` ```
You can either change this value in the `.env` file, or you can override it To use a different notebook server image, you can either change the desired
container image value in the `.env` file, or you can override it
by setting the `DOCKER_CONTAINER_IMAGE` variable to a different Notebook by setting the `DOCKER_CONTAINER_IMAGE` variable to a different Notebook
image in the environment where you launch JupyterHub. For example, the image in the environment where you launch JupyterHub. For example, the
following setting would be used to spawn single-user pyspark notebook servers: following setting would be used to spawn single-user pyspark notebook servers: