* Upgrade the conda-analytics debian package. This package is how we deploy Spark3. The upgrade will allow us to run JupyterHub and JupyterLab on top of it. * Deploy new puppet configurations that will switch from running Jupyter on top of anaconda-wmf to running on top of conda-analytics. * This effectively upgrades our Jupyter deployment as follows: * Upgrades JupyterHub from 1.1.0 to 1.5.0. * Upgrades JupyterLab from 3.2.9 to 3.4.8. * Upgrades Spark on newly created conda environments from 2.4.4 to 3.1.2. * Upgrades wmfdata on newly created conda environments to 2.0.0. This version of wmfdata includes breaking changes.
IMPORTANT: After this maintenance window, you should expect the following: *** JupyterHub and any existing JupyterLab processes including any running kernels, will be shut down, and will have to be restarted manually by the respective owners. *** *** JupyterLab UI will have minor changes. *** *** New conda environments created via JupyterHub will now be based off of conda-analytics and will utilize Spark3. *** *** Existing conda environments based off of anaconda-wmf will continue to work, and continue to utilize Spark2. ***
Why:
As part of our effort to deprecate Spark2 and make Spark3 widely available, we are deprecating the use of anaconda-wmf and Spark2, in favor of conda-analytics and Spark3. Note this is just deprecation, you will still be able to use your existing conda environments running on top of anaconda-wmf and Spark2.
When:
We are proposing the following window for these changes:
Wednesday 30 Nov 2022 12:30 to 13:30 UTC. (7:30 AM ET / 4:30 AM PT)