1 post tagged with "conda"

Hello Hyak Users,

It has come to our attention that the default configuration of Miniconda and conda environments in the user's home directory leads to hitting storage limitations and the dreaded error Disk quota exceeded. We thought we would take some time to guide users in configuring their conda environment directories and package caches to avoid this error and proceed with their research computing.

Conda's config#

Software is usually accompanied by a configuration file (aka "config file") or a text file used to store configuration data for software applications. It typically contains parameters and settings that dictate how the software behaves and interacts it's environment. Familiarity with config files allows for efficient troubleshooting, optimization, and adaptation of software to specific environments, like Hyak's shared HPC environment, enhancing overall usability and performance. Conda's config file .condarc, is customizable and lets you determine where packages and environments are stored by conda.

Understanding your Conda#

First let's take a look at your conda settings. The conda info command provides information about the current conda installation and its configuration.

The output shoudl look something like this if you have installed Miniconda3.

The paths shown above will show your username in place of UWNetID. Notice the highlighted lines above showing the absolute path to your config file in your home directory (e.g., /mmfs1/home/UWNetID/.condarc), the directory designated for your package cache (e.g., /mmfs1/home/UWNetID/conda_pkgs), and the directory/ies designated for your environments (e.g., /mmfs1/home/UWNetID/miniconda3/envs). Conda designates directories for your package cache and your environments by default, but under Hyak, your home directory has a 10G storage limit, which can quickly be maxed out by package tarballs and their contents. We can change the location for your package cache and your environments to avoid this.

Configuring your package cache and envs directories#

If you don't have a .condarc in your home directory, you can create and edit it with a hyak preloaded editor like nano or vim. Here we will used nano.

Edit OR ADD the highlighted lines to your .condarc to designate directories with higher storage quotas for our envs_dirs and pkgs_dirs. In this exercise, we will assign our envs_dirs and pkgs_dirs directories to directories in /gscratch/scrubbed/ where we have more storage, although remember scrubbed storage is temporary and files are deleted automatically after 21 days if the timestamps are not updated. Alternatively, your lab/research group might have another directory in /gscratch/ that can be used.

Here is what your edited .condarc should look like.

In addition to designating the directories, please include always_copy: true, which is required on the Hyak filesystem for configuring your conda in this way.

After .condarc is edited, we can use conda info with grep to see if our changes have been incorporated.

The result should be something like

And for the environments directory

Result

Cleaning up disk storage#

After you have reset the package cache and environment directories with your conda config file, you can delete the previous directories to free up storage. Before doing that, you can monitor how much storage was being occupied by each item in your home directory with the command du -h --max-depth=1. Remove directories previously used as cache and envs_dir recursively with rm -r. The following is an example of monitoring storage and removing directories.

Below is an example output from the du -h --max-depth 1 command

Storage can also be managed by cleaning up package cache periodically. Get rid of the large-storage tar archives after your conda packages have been installed with conda clean --all.

Lastly, regular maintenance of conda environments is crucial for keeping disk usage in check. Review you list of conda environments with conda env list and remove unused environments using the conda remove --name ENV_NAME --all command. Consider creating lightweight environments by installing only necessary packages to conserve disk space. For example, create an environment for each project (project1_env) rather than an environment for all projects combined (myenv).

Disk quota STILL exceeded#

Be aware that many software packages are configured similarly to conda. Explore the documentation of your software to locate the configuration file and anticipate where storage limitations might become an issue. In some cases, you may need to edit or create a config file for the software to use. pip and R are two other common offenders ballooning the disk storage in your home directory.

Configuring PIP#

If you are installing with pip, you might have a pip cache in ~/.cache/pip. Let's locate your the pip config file location under variant "global." You might have to activate a previously built conda environment to do this. For this exercise we will use an environment called project1_env.

The message "will try loading" rather than listing the config file pip.conf means that a pip config file has not been created. We will create our config file and set our pip cache. Create a directory in your home directory (e.g.,/mmfs1/home/UWNetID/.pip) to hold your pip config file and create a file called pip.conf with the touch command. Remember to also create the new directory for your new pip cache if you haven't yet.

Open pip.conf with nano or vim and add the following lines to designate the location of your pip cache.

Check that your pip cache has been designated.

Configuring R#

We previously covered this in our documentation. Edit or create a config file called .Renviron in your home directory. Use nano or vim to designate the location of your R package libraries. The contents of the file should be something like the following example.

The directory designated by R_LIBS will be where R installs your package libraries.

I'm still stuck#

Please reach out to us by emailing help@uw.edu with "hyak" in the subject line to open a help ticket.