~sqwishy/froghat.ca

cb1379c35a79be9862b7e96d0a33d83233be919b — sqwishy 1 year, 6 months ago acee62a
froghat.ca/2023/03/github-runner-cache
A froghat.ca/2023/03/github-runner-cache/container16dm.svg => froghat.ca/2023/03/github-runner-cache/container16dm.svg +2 -0
@@ 0,0 1,2 @@
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A froghat.ca/2023/03/github-runner-cache/container16lm.svg => froghat.ca/2023/03/github-runner-cache/container16lm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container1dm.svg => froghat.ca/2023/03/github-runner-cache/container1dm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container1lm.svg => froghat.ca/2023/03/github-runner-cache/container1lm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container231dm.svg => froghat.ca/2023/03/github-runner-cache/container231dm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container231lm.svg => froghat.ca/2023/03/github-runner-cache/container231lm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container2dm.svg => froghat.ca/2023/03/github-runner-cache/container2dm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container2lm.svg => froghat.ca/2023/03/github-runner-cache/container2lm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container63dm.svg => froghat.ca/2023/03/github-runner-cache/container63dm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container847dm.svg => froghat.ca/2023/03/github-runner-cache/container847dm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/container847lm.svg => froghat.ca/2023/03/github-runner-cache/container847lm.svg +2 -0
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A froghat.ca/2023/03/github-runner-cache/index.rst => froghat.ca/2023/03/github-runner-cache/index.rst +1057 -0
@@ 0,0 1,1057 @@
Caching with LVM snapshots for ephemeral self hosted GitHub runners
===================================================================

:date: mar 16 2023
:summary: If I see another blog post with a stock photo of a shipping container I'm gonna heckin' lose it.
:image: og.png

.. picture:: container1lm.svg

   .. source::
      :srcset: container1dm.svg
      :media: (prefers-color-scheme: dark)

GitHub Actions (Uber for git hooks) is a modern CI/CD offering by GitHub (Uber
for broken links and 404 pages). YAML documents in git repositories
on GitHub serve as scripts for *runners*, allowing you to dispense chores for
GitHub's VM when some event, like a commit, happens in your GitHub
project. GitHub has their own runners in the cloud that you can use.

GitHub hosted runners do not persist state between jobs. This is cool because you
can expect jobs to start from a consistent and predictable state. But it also
can make jobs take longer if they can't re-use work from previous
runs; like incremental rebuilds or downloading and compiling dependencies that
change infrequently.

GitHub Actions features something they call a `cache action`_ which is a way to
copy state between jobs by roughly doing `tar c job-cache | curl --form
"file=@-" ...`. But the cache action does not work well for building container
images with Podman.

I wanted to try sharing state between jobs by binding a volume from the host to
the runner. So wrote a short Python script to do that.

It uses :abbr:`LVM (Logical Volume Manager)` to make snapshots for different
jobs and it's the *fun* part of this post. But to write that, I had to
go through the anguish of running the GitHub runner myself, ensuring it does
not persist state between jobs.

This is one of my longer and more meandering blog posts. So here's an improvised
table of contents -- though you should read the whole thing because there will
be a quiz at the end.

- This post explains a bit about GitHub's software for `self hosted runners`_
- pre and post job `hooks`_
- using runners with `ephemeral <--ephemeral_>`_ to only do one job
- that the *cache action* on GitHub is slow for `caching Podman`_ storage
- how the `lvm-cache-friend`_ script communicates with a workflow and uses LVM to label cache volumes like the "key" in the *cache action*
- how I'm `self hosting GitHub's runner in systemd-nspawn`_ to ensure a consistent state at the start of each workflow job
- how to prepare the first/default cache volume in `LVM`_
- and the `lvm-cache-friend.service`_ file for running the script as a service in systemd.

.. _copying layers: https://gist.github.com/sqwishy/18bc8a0eaa672734b549d4553e1a6476
.. _skopeo: https://github.com/containers/skopeo/
.. _cache action: https://docs.github.com/en/actions/using-workflows/caching-dependencies-to-speed-up-workflows#using-the-cache-action

.. aside::

    *Estimated Reading Time:* :smolcaps:`six` years :smolcaps:`four` months :smolcaps:`nine` days :smolcaps:`thirteen` hours :smolcaps:`two` minutes :smolcaps:`eighty one` seconds

self hosted runners
-------------------

As an alternative to *GitHub hosted* runners, you can run workflows on *self hosted*
runners. (Like some sort of private cloud.)
But, these self hosted runners don't work at all like GitHub's runners. To
be fair, `they do tell you this <differences_>`_. But I don't think it prepares
you for the cursed architecture that awaits.

As far as I can tell, the GitHub runner doesn't separate application,
configuration, and persistent or runtime state.
By default, it sets itself up to automatically update itself. And it runs
workflows as the service's user without dropping any privileges. So programs run
from the YAML workflows have write access to the runner that runs them. And that
seems like pretty not great hygiene to me. Even ignoring security concerns, this
seems like an unnecessary risk if the workflow does something stupid by mistake.

.. aside::

   I can trust myself to not write workflows to do bad things on purpose.
   I can't trust my workflows to not do bad things if I accidentally made them
   dumbly.

It makes much more sense if workflow execution was done by running a separate
program that sets up its environment depending on user requirements. Like how
`sudo`, `env`, `strace`, or `unshare` take another command to run as an
argument. Those programs allow users to run other programs under different
environments by setting those environments up to the users liking and then
starting the other program in that new environment.
If workflows were run by creating a new process, it should be easy to allow
users to configure the environment and privileges that a workflow runs in by
starting its process under `sudo` or bubblewrap_ or even a Docker/Podman
container probably.

.. picture:: container2lm.svg

   .. source::
    :srcset: container2dm.svg
    :media: (prefers-color-scheme: dark)

I looked into a couple ways of cleaning this up.
Using *hooks* to run a script before and after a job.
And configuring the runner with `--ephemeral`.

hooks
-----

Runners can be configured to `run scripts before and after a job`_. So
you could possibly change the environment before a job and then restore it
after. But this is this doesn't work the same as programs doing fork-exec_.

Suppose you wanted jobs to run in a network namespace. My understanding is, it's
typical to `fork` a process, then the child `unshare`\s or something to make a
new namespace, the parent sets up the namespace from the outside, finally
the child continues in the prepared namespace and will `exec`\s the job or *some program*.
This is is how bubblewrap, and programs like it, allow you to run *some program*
of your choosing in a namespace to your liking.

In this case, maybe we want to modify the runner so that it runs in an
environment to our liking.  But we can't `exec` the runner; it's already
running and it's calling our hooks.

One idea, that I haven't tried, is using `setns`_ to change the namespace of the
runner's process. We can't just call that in the hook, because it will
just change the namespace of the hook. We need the runner to make that call from
its process. To my knowledge, it's possible to attach to a running process with
a debugger, like gdb, and use the debugger to make calls in the debugged
process. So maybe you can change another process's namespace with something
like:

.. class:: full-width
.. code::

    $ gdb -p 123
    (gdb) call (int)pidfd_open(456, 0)
    (gdb) call (int)setns($, 0)

But this is a silly thing to do and even if it worked it would likely have a
bunch of wacky consequences. I just mention it because instead of saying it's
not possible to get the isolation desired, I'd prefer to just say that I can't
come up with any ways that aren't absurd.

.. _differences: https://docs.github.com/en/actions/hosting-your-own-runners/about-self-hosted-runners#differences-between-github-hosted-and-self-hosted-runners
.. _bubblewrap: https://github.com/containers/bubblewrap
.. _run scripts before and after a job: https://docs.github.com/en/actions/hosting-your-own-runners/running-scripts-before-or-after-a-job#triggering-the-scripts
.. _setns: https://www.man7.org/linux/man-pages/man2/setns.2.html
.. _fork-exec: https://en.wikipedia.org/wiki/Fork%E2%80%93exec

`--ephemeral`
--------------

To install the GitHub runner software, GitHub provides you with a link to a
tarbomb you can download and extract all over your current directory to get
some scripts used to configure and start the program.

The `config.sh` script is intended to configure a new runner; requiring a runner
name, token, and repository to run workflows for.

There are a few more options like `--disableupdate`, which prevents the runner
from updating itself. And `--ephemeral` which, `as GitHub's documentation
explains <ephemeral_>`_, configures the runner to just do one job.

These options let us limit the ambitions of the runner so that we can try
starting it in an already limited environment.

.. aside::

   Before noticing `--ephemeral`, I tried a hook to restart the
   runner after a job. The restart must be scheduled so the hook can exit
   without error (so the job is considered complete) but before a new job is
   started. That timing is very sketchy for workflows with multiple jobs.
   Otherwise, it might be a pretty cool hack.

.. _ephemeral: https://docs.github.com/en/actions/hosting-your-own-runners/autoscaling-with-self-hosted-runners#using-ephemeral-runners-for-autoscaling

caching Podman
--------------

Podman's image storage does not cache well using GitHub's *cache action*.

The first problem is that some files, although owned by the current user, have
no readable bits set. When the *cache action* runs `tar` it will fail to read
the file. These bits are fine for Podman, and you can even read them under
`podman unshare`, but the action doesn't know this and can't be configured to do
this.

I had a stupidly hard time trying to work around this. By far `the best
approach I've seen`__ sets the suid bit on `tar` so it runs with elevated
permissions when the script for the *cache action* runs it.

.. __: https://github.com/Atry/hhvm/commit/b05e533aab1bee7f8cad01e2a62e3c4bcd1e3f37

The second problem is that caching this is slow. I'm not sure if this is
because of how Podman makes layers or if it's because `node_modules` is lots of
tiny files. But creating or extracting with `tar` is too slow for it to be
worth it.

Not to say it was a problem with `tar`; as I also tried `copying layers`_ using
skopeo_ and that also took about as long building the images without a cache.

I'm starting to think that once a JavaScript project has tens of direct
dependencies, it'll have thousands of implicit dependencies, and hundreds of
thousands of files. (This is at least the case with the two recent examples I've
had experience with.) And doing anything with all of them is not gonna be real
super speedy.

lvm-cache-friend
----------------

This workflow is running in a system with a mount namespace and where changes are
not persisted between jobs because they're being written to a tmpfs that gets
thrown out after the job finishes. [*]_

.. aside::
.. [*] Details about how *I* set that up using an `--ephemeral` GitHub runner
   are later on in this post.

A straightforward way to persist state, when a system is running on a tmpfs, is
to bind mount something from the host that will outlive the tmpfs. Like volumes
for containers.

The *cache action* on GitHub has an extra little feature where caches are saved
under a *key* and can be looked up later with a kind of glob match. This way,
multiple caches can exist with different keys. Instead of having just one cache
shared between each run like with a simple bind mount to one place on the host. 

This is an example from the GitHub documentation:

    .. code:: yaml

        restore-keys: |
          npm-feature-d5ea0750
          npm-feature-
          npm-

    The restore key `npm-feature-` matches any key that starts with the string
    `npm-feature-`. For example, both of the keys `npm-feature-fd3052de` and
    `npm-feature-a9b253ff` match the restore key. The cache with the most recent
    creation date would be used. The keys in this example are searched in the
    following order:

    #. `npm-feature-d5ea0750` matches a specific hash.
    #. `npm-feature-` matches cache keys prefixed with `npm-feature-`.
    #. `npm-` matches any keys prefixed with `npm-`.

    -- `Example using multiple restore keys <https://docs.github.com/en/actions/using-workflows/caching-dependencies-to-speed-up-workflows#example-using-multiple-restore-keys>`_

For this off brand cache, I want a similar thing. This "cache" is just a bind
mount from the host. But we can mount different paths from the host and even
choose the right one using something like those "keys" requested in the workflow.

One detail of the *cache action*, GitHub explains, is that
caches are implicitly scoped to branches.

    Workflow runs can restore caches created in either the current branch or the default branch (usually `main`). If a workflow run is triggered for a pull request, it can also restore caches created in the base branch, including base branches of forked repositories.

    -- `Restrictions for accessing a cache <https://docs.github.com/en/actions/using-workflows/caching-dependencies-to-speed-up-workflows#restrictions-for-accessing-a-cache>`_

I didn't implement that because it seems complicated. Like the key used in the
workflow is not a *single source of truth* about what cache is used.
It sounds useful to look for caches in relevant branches, but I can't think of a
good reason to not make that explicit in the keys.

.. picture:: container16lm.svg

   .. source::
      :srcset: container16dm.svg
      :media: (prefers-color-scheme: dark)

So we want the runner to be able to annotate caches -- with its git branch name
or a hash of a `.lock` file or something -- and look for caches with similar
annotations so it can use them if they're there. [*]_

.. aside::
.. [*]
   Originally, I intended having a separate load/mount and save/unmount
   step where the annotations were written only when saving. But the
   implementation is a bit simpler if they both happen at the same time. 
   Like when the *cache action* is used and `key` and `restore-keys` are
   provided at the same time.

And it'd be nice if the usage in the workflow was similar to the *cache
action*. So it's simple and familiar. The information it mostly needs is:

- some criteria to look up what cache to use
- the path to load the cache in the runner
- and the annotations for the new cache being saved.

The service uses thin LVM snapshots because I wanted to try them and see how
they worked and because it seems like a good way to a kind of de-duplication at
the block layer or something.

When the workflow asks for a cache, we look for a logical volume that best
matches the annotations that the workflow requested, we snapshot it to make a new
logical volume, and mount that volume into the runner.

In LVM, logical volumes can have tags. We can shove our annotations into those
tags to use LVM as a kind of database instead of keeping our own state. [*]_

.. aside::
.. [*] Tags have some character restrictions, but fewer restrictions than volume
   names. So it seems like an *okay* place to store user input.

Here's an example where annotations from the workflow are namespaced with
"friend:cache:" prefix.

.. class:: full-width
.. code:: shell

    $ lvs \
        --sort -lv_time \
        -o vg_name,lv_name,tags,origin \
        --select lv_tags=friend:snapshot \
        --reportformat=json \
        | jq '.report[].lv | .[].lv_tags |= split(",")'
    [
      {
        "vg_name": "banana",
        "lv_name": "friend-Y_v--tIL",
        "lv_tags": [
          "friend:cache:dc5e8c5be193d4952bceae567213b9007f5a9fa5bfd85c1dd9a8a4a6cb759422",
          "friend:cache:linux",
          "friend:snapshot"
        ],
        "origin": "friend-Y_v8SbU5"
      },
      {
        "vg_name": "banana",
        "lv_name": "friend-Y_v8SbU5",
        "lv_tags": [
          "friend:cache:dc5e8c5be193d4952bceae567213b9007f5a9fa5bfd85c1dd9a8a4a6cb759422",
          "friend:cache:linux",
          "friend:snapshot"
        ],
        "origin": "friend-Y_v7HD25"
      },
      {
        "vg_name": "banana",
        "lv_name": "friend-Y_v7HD25",
        "lv_tags": [
          "friend:cache:dc5e8c5be193d4952bceae567213b9007f5a9fa5bfd85c1dd9a8a4a6cb759422",
          "friend:cache:linux",
          "friend:snapshot"
        ],
        "origin": "friend-default"
      }
    ]

.. aside::

    `A new version of LVM`__ was released last year with a new output format
    *json_std* that improves over *json* in a few ways, including outputting a
    list of strings for `lv_tags` instead of a big string with comma-delimited
    tags. (Above, `jq` is used split the value for readability.)

    But I don't have that version yet.

    .. __: https://github.com/lvmteam/lvm2/blob/v2_03_17/WHATS_NEW

Though, that's kind of a crummy example because the tags for volume each are the
same.

Anyway, because the annotations are stored in a list, it seemed easier to
support looking up caches based on exact matches of multiple terms in any order
rather than a prefix match that GitHub's action uses with its "key" thing.

Earlier in this post, there's an example from the GitHub documentation using the
restore key `npm-feature-`. Instead of looking for snapshots prefixed with
`npm-feature-`, we would instead write `npm feature` to mean two tags ("npm" and
"feature") that are both required and can occur in any order. I think it's a bit
simpler and maps nicer to the LVM tags; but it's a difference from the syntax
that the *cache action* uses.

Here's an example of asking for a new snapshot.

.. class:: full-width
.. code:: shell

    ncat -U /run/lvm-cache-friend/socket <<EOF
    mount /home/ghrunner/cache
    > linux dc5e8c
    > linux
    < linux dc5e8c
    EOF

The first two lines say to use (and snapshot) an existing volume that has *both* tags
"linux" and "dc5e8c" or just "linux". Those criteria are evaluated in order
and, once one matches an existing volume, all subsequent criteria are ignored.

The last line just specifies what annotations to give to the new snapshot.
Annotations are individual terms delimited with whitespace and order doesn't
matter. Again, this is a bit different from the GitHub action which does the sort of
prefix match thing.

Here's a usage example in a GitHub workflow as a step in a job. This includes
the current branch name to replicate *some* of the implicit branch name stuff that the *cache action* uses.

.. class:: full-width
.. code:: shell

    - run: |
        ncat -U /run/lvm-cache-friend/socket <<EOF
        mount /home/ghrunner/cache
        > linux ${{ hashFiles('Cargo.lock','Cargo.toml') }}
        > linux ${{ github.ref_name }}
        > linux
        < linux ${{ github.ref_name }} ${{ hashFiles('Cargo.lock','Cargo.toml') }}
        EOF

ncat turns out to be a nice program for this because, by default, it will wait
for the server to disconnect before exiting. The server will create a snapshot
and mount it before terminating the connection. This way, and the job does not
continue until the mount has been set up (or at least attempted). Although, the
success code is not sent so the job will try to continue even if the mount was
not successful for some reason.

.. picture:: container63lm.svg

   .. source::
      :srcset: container63dm.svg
      :media: (prefers-color-scheme: dark)

Mounting the snapshot into the runner's mount namespace turned out to be kind of
a thing. Mostly, I just copied `how systemd does it <mount_in_namespace>`_ for its
`machinectl bind` command.

There's a silly detail where, in the runner, we want to move the mount to the
location of the workflow's choosing, but we can only move the mount if it's under
a private mount, not a shared mount. If we try, we might see an error saying
something like: "moving a mount residing under a shared mount is unsupported".
But the host can't mount volumes into a private mount in the runner; I guess because
it's private. So the host needs to mount the volume inside a shared mount and
then the runner makes the shared mount private and moves the volume.

Also, the host does this each time the workflow gets a cache. But I don't think
it can reshare/unprivate the private mount, so it makes a new shared mount each
time. And that new shared mount has to be in an existing pre-arranged bind mount
in the runner. The directory containing the unix socket for making requests
is already bind mounted into the runner, so it can just use that and make
those temporary shared mounts in there next to the socket.

It's probably worth noting that we only need to do this because workflows can
request caches to be mounted at arbitrary locations. And this is kind of a
sketchy idea anyway because it lets the runner mount something to *anywhere* in
its machine even if its user doesn't otherwise have permission. If the caches were mounted to just one pre-arranged location under
a shared mount, we wouldn't need to move them and it'd be a bit simpler and
safer. But it's a good thing I didn't do that, otherwise you would have missed
out on reading these three paragraphs of an obscure mount behaviour that will
never matter or be useful to you in the future.

.. _mount_in_namespace: https://github.com/systemd/systemd/blob/v252/src/shared/mount-util.c#L780

self hosting GitHub's runner in systemd-nspawn
----------------------------------------------

I ended up using systemd-nspawn to start a *machine* that runs the GitHub
runner as a service. systemd-nspawn lets us
have network and user namespaces so that GitHub's software is relatively
isolated. And it can be configured so workflows can build and run container
images with Podman.

.. aside::
   Generally what systemd-nspawn runs are machines rather than containers
   because it boots them and they have an init system and can run several
   services under them. 

I tried to just run the runner under Podman (instead of systemd-nspawn)
but had a lot of issues with user namespaces and getting Podman to run as part
of workflows under Podman running the GitHub runner. There is `a container
image for Podman`__ that demonstrates how to run Podman under Podman but it
seemed overall way more annoying to troubleshoot than systemd-nspawn.

.. __: https://quay.io/repository/containers/podman

This is kind of self-inflicted because I wanted to run the GitHub runner in a
user namespace where root on the runner is an unprivileged user on the host.
This would have been simpler if I hadn't wanted that but I was stubborn over
the thought that having nested user namespaces really shouldn't be that hard.

The systemd-nspawn machine running the GitHub runner uses some options to
prevent persisting state between reboots. By shutting down and restarting the
machine after the runner does one job, we can ensure that jobs are run with
clean and predictable state.

The service file for the GitHub runner service in the machine is part of how all
this works.

.. class:: full-width
.. code:: ini

    [Unit]
    ...
    OnSuccess=poweroff.target

    [Service]
    ...
    ExecStartPre=/home/ghrunner/get-token-and-config.sh \
        --unattended \
        --disableupdate \
        --ephemeral \
        --name dingus \
        --replace
    ExecStart=/home/ghrunner/bin/runsvc.sh
    ...

Before running a GitHub runner,
you'll need run a `config.sh` script to configure it
with a runner token and the repository to get workflows from.
We're doing that in `ExecStartPre` via a
helper script called `get-token-and-config.sh` which uses `GitHub's API to
get a runner token <runner token_>`_ and then call `config.sh` passing along the other arguments
given, like `--ephemeral` in this case, ensuring the service only runs one job
before stopping.

The bearer authorization for GitHub's API (and the the repository URL) is
hard-coded; written directly into that `helper script`_  and readable by workflows.
It's not great. But this *proof of concept* already ended up being way more
effort than I intended, so I'm perfectly content with it as it is and saying
that this part that needs improvement is left *an exercise for the reader*.

.. _runner token: https://docs.github.com/en/rest/actions/self-hosted-runners#create-a-registration-token-for-a-repository
.. _helper script: https://github.com/sqwishy/graph-do-smell/blob/shitpost/misc/get-token-and-config.sh

`ExecStart` runs the runner normally using a script from GitHub's tarbomb.
Since we're using `--ephemeral`, `runsvc.sh` quits after one job is run.
Then, `OnSuccess` ensures that when the service succeeds -- when `runsvc.sh`
quits after a job is done -- the machine shuts down and any temporary state is
released.

On the host, we can configure this machine to restart when it shuts down by
adding an override for its `systemd-nspawn@.service` configuration described
below. The reason the machine uses poweroff target instead of the reboot target
for the `OnSuccess` is that `reboot.target` seemed prevent the system from
stopping at all. Every time it would go to stop the GitHub runner service, in
order to shut down the system, the `OnSuccess` would be evaluated and it would start to
reboot instead. Kinda funny when you think about it. Anyway, doing the restart
in the service on the host is probably *cleaner* anyway in terms of a
*separation of concerns* or whatever.

I used a Dockerfile and `podman build` to prepare the rootfs for the
systemd-nspawn machine. You can `view the Dockerfile on GitHub
<https://github.com/sqwishy/graph-do-smell/blob/shitpost/misc/Dockerfile>`_.

1. Build the image.

   .. class:: full-width
   .. code:: shell

      podman build . --tag github-runner

2. Create a container from the image and pipe an export of the rootfs to
   machinectl. [*]_

   .. class:: aside
   .. [*] In these examples, the machine name is github-runner. (If I told you
      what I really named my machine, they would both of us away for a long time.)

   .. class:: full-width
   .. code:: shell

      podman export $(podman create github-runner) \
        | machinectl import-tar - github-runner

   `machinectl` should extract the rootfs to `/var/lib/machines/github-runner`.

   You *ought* to be able to create a tar from a Dockerfile without `podman
   create` just doing `podman build --output type=tar`, but it *seems* like
   `there's a bug where suid bits aren't set
   <https://github.com/containers/buildah/issues/4463>`_ and this messes up some
   things like `newuidmap`.

3. The systemd-nspawn machine runs in a user namespace where root in the
   machine maps to an unprivileged user on the host.

   For this machine, I've used `--private-users-ownership=chown` to modify
   ownership of the rootfs use a new range of unprivileged users. This preserves
   ownership relatively within the machine. Whatever uid N is mapped on the host
   to root in the machine, the first user in the machine (with uid 1000) will
   have its files owned by N + 1000 on the host.

   .. class:: full-width
   .. code:: shell

       systemd-nspawn -M github-runner \
           --private-users-ownership=chown \
           --private-users=pick \
           /bin/true

   This lets systemd-nspawn choose a uid itself. Or you can put your own value
   in there explicitly. It should output something like:

   .. class:: full-width
   .. code::

       Selected user namespace base 570097664 and range 65536.

   Now, `/var/lib/machines/github-runner` should be owned by
   `570097664:570097664` and `/var/lib/machines/github-runner/home/ghrunner`
   owned by `570098664:570098664`.

   systemd-nspawn apparently also supports doing this map at runtime without
   modifying the files on disk, but I don't think it works right with some of
   the options mentioned in the next step.

4. The `/etc/systemd/nspawn/github-runner.nspawn` file lets us set defaults for
   our machine when systemd-nspawn boots it.

   It's important this file is created *after* the chown above. Otherwise, that
   command will use these options and the `[Files]` section interferes with
   the the chown. If you need to redo the chown, comment out that section
   temporarily.

   .. class:: full-width
   .. code:: ini
       
       [Exec]
       PrivateUsers=570097664:131072
       ResolvConf=replace-host
       LinkJournal=try-host
       
       [Files]
       ReadOnly=true
       Volatile=overlay
       BindReadOnly=/run/lvm-cache-friend

   `BindReadOnly` is the directory containing the socket to `lvm-cache-friend`,
   the program that creates LVM snapshots and mounts them into the namespace.

   `Volatile` will overlay a temporary filesystem *over* the machine when it
   runs. Changes are made to that temporary filesystem and not persisted.

   `PrivateUsers` contains a range, *twice* as large as the 2^16 default. This is
   so that the container can allocate an entire 2^16 to Podman as part of
   running workflows.

   Part of the Dockerfile [*]_ was to delegate subordinate user and groups
   to allow the GitHub runner user (in the machine) to map the range of uid
   (65536-131072] from the machine into a user namespace for Podman. In the
   host, that will be the last half of the 131072 length range.
   
   .. [*]
       .. class:: full-width
       .. code:: shell

           echo ghrunner:65536:65536 | tee /etc/subuid /etc/subgid

   This way, workflows that run Podman can create their own user
   namespace by using the second 2^16 that we give from the host to the
   machine. That's why the host uid range is 131072; for those two 2^16 chunks.

   =========  =========  ========= =========
   570097664  570163200  570228736 *host*
           0      65536     131072 *machine*
   \                  0      65536 *podman*
   =========  =========  ========= =========

5. There is also an override for the *service* that runs systemd-nspawn for this
   machine. (The configuration above was for systemd-nspawn. Below, appends to
   the configuration for the systemd service for systemd-nspawn.)

   It's easiest to create and modify this with `systemctl edit
   systemd-nspawn@github-runner`. (It will end up creating / modifying a file
   probably at
   `/etc/systemd/system/systemd-nspawn@github-runner.service.d/override.conf`.)

   .. class:: full-width
   .. code:: ini

       [Service]
       Restart=always
       Environment=SYSTEMD_SECCOMP=0

   The `Restart` setting here is sort of the final piece of the puzzle for
   stateless self hosted GitHub runners. 

   #. The `--ephemeral` option to `config.sh` ensures only one job is run before the runner service quits.
   #. `OnSuccess=poweroff.target` for the service in the machine will
      shut down the machine when that service quits.
   #. `Restart=always` in `systemd-nspawn@github-runner.service` on the host
      ensures that the machine will boot up after shutting down.
   #. `Volatile=overlay` makes sure changes in the machine are made to a
      temporary file system and not persisted between boots.

   The `Restart=always` option is only while the service is active. If you stop
   systemd-nspawn by deactivating the service with `systemctl stop
   systemd-nspawn@github-runner.service`, then it won't restart the machine.
   This is what we want.

   That configuration also sets the `SYSTEMD_SECCOMP=0` environment variable.
   Without it, something complains about keyrings and doesn't work. I don't
   understand any of what's going on there. There might be a more responsible
   way to fix that. And I'm sure I'll get around to figuring it out right after
   I stop disabling selinux.

Those steps set up the machine. It should be bootable with ...

.. class:: full-width
.. code:: shell

    systemctl start systemd-nspawn@github-runner.service

... or start it and set it to start when the host boots with ...

.. class:: full-width
.. code:: shell

    systemctl enable --now systemd-nspawn@github-runner.service

There's just a bit of LVM setup and then also running the service that makes and
mounts LVM snapshots on the host; which was kinda the entire point of this thing
to begin with.

LVM
---

For the cache, we need a LVM volume for the service to use as a default to make
snapshots.

This makes a thin *pool* in an existing volume group called banana.

.. class:: full-width
.. code:: shell

    lvcreate \
        --type thin-pool \
        --size 30G \
        banana/friend-pool

And this makes create a thin *volume* in that pool.

.. class:: full-width
.. code:: shell

    lvcreate \
        --thinpool banana/friend-pool \
        --virtualsize 3G \
        --name friend-default \
        --addtag friend:default

The service identifies this as the default volume for snapshots by the tag
`friend:default` (the volume name and group don't matter). It will use that
volume if no other snapshot exists as a suitable choice.

`--virtualsize` seems to prevent the volume from growing past that size.
But I'm not sure what setting `--size` on the pool does. It seems you can
still over-provision it with thin volumes. So you can create *more* than ten 3G
volumes in a 30G pool, but it seems there is still a 30G limit on the actual
usage of all combined volumes.
So if some IO to a volume would causes the pool to
use more than its 30G limit, then that IO fails with some error. At least in my
*limited* testing.

Something else that might be worth looking into is the `--discards` option to
`lvcreate`. There are some details around thin volumes actually reporting to
use less data when files are deleted. Our service for creating and mounting
snapshots will mount volumes with the `discard` option by default. So far, that seems to
be good enough. But there might be surprises I'm not aware of.

If it's not super clear yet; I didn't end up looking at LVM *that much* as part of
this project. It was mostly struggling with stupid things in GitHub and Podman.
There's a whole `lvmthin.7` man page that I haven't read. And I don't want to
either because then I'll realize that I did everything wrong and I'll have to
start over. [*]_

.. aside::
.. [*] But that's why we like LVM. It works even if you're dumb and can't read
   man pages and don't know what you're doing.

.. aside::

    *Protip* It's easy enough to grow volumes with something like `lvresize
    --size +1G` and then `xfs_grow` if you format it as xfs.

After creating our default volume, we want to format it so we can mount it; I
used xfs.

.. class:: full-width
.. code:: shell

    mkfs.xfs /dev/banana/friend-default

Then mount it so we can set the owner to the `ghrunner` user in the machine so
the runner can use the cache. That user's uid is 1000. So the we'll want to use
1000 plus whatever was selected for user namespace of the machine. In the last
section, the machine is using 570097664 so the `ghrunner` user will be
570098664.

.. class:: full-width
.. code:: shell

    mount /dev/banana/friend-default /mnt
    chown 570098664:570098664 /mnt
    umount /mnt

.. picture:: container231lm.svg

   .. source::
      :srcset: container231dm.svg
      :media: (prefers-color-scheme: dark)

lvm-cache-friend.service
------------------------

The program that makes and mounts snapshots is a Python script that depends
only on the standard library and some LVM commands being in your PATH.

My service file is really simple.

.. class:: full-width
.. code:: ini

    [Service]
    Type=simple
    ExecStart=/usr/local/bin/lvm-cache-friend.py
    Restart=on-failure

    [Install]
    WantedBy=multi-user.target

It even has `Type=simple`. So you know it's not very complicated.

The runner communicates to the service through a unix socket at
`/run/lvm-cache-friend/socket`.
The parent directory `/run/lvm-cache-friend` is
bind mounted into the runner's machine. It should exist before either this
service or the machine boots. Since `/run` is usually a temporary filesystem,
systemd is often configured to set up these paths at boot.
I haven't tested this, but I think systemd will do this for us if we add a file
somewhere under `/etc/tmpfiles.d` containing something like:

.. class:: full-width
.. code:: ini

    d /run/lvm-cache-friend 0755 root root -

The script has some options. By default it will
add the tag `friend:snapshot` to every snapshot it makes.
And, for namespacing, prefix any tags that peers add or search for with `friend:cache:`.

But otherwise, that's it.

Start the service with.

.. class:: full-width
.. code:: shell

    systemctl enable --now lvm-cache-friend

And if you view the logs with `journalctl -efu lvm-cache-friend` or something
you should hopefully be able to confirm the default volume and socket path being used.

.. class:: full-width
.. code:: shell

    info default lv banana friend-default
    info listening on /run/lvm-cache-friend/socket

quick summary
-------------

The GitHub workflow contains something like this:

.. class:: full-width
.. code:: yaml

    jobs:
      meme:
        runs-on: self-hosted
        env:
          XDG_DATA_HOME: /home/ghrunner/cache/xdg
        steps:
          - uses: actions/checkout@v3
          - run: |
              ncat -U /run/lvm-cache-friend/socket <<EOF
              mount /home/ghrunner/cache
              > linux ${{ hashFiles('Cargo.lock','Cargo.toml') }}
              > linux ${{ github.ref_name }}
              < linux ${{ github.ref_name }} ${{ hashFiles('Cargo.lock','Cargo.toml') }}
              EOF
          - run: podman build .

This connects to the lvm-cache-friend service on the host over a unix socket and
asks it to create an LVM snapshot and mount it at `/home/ghrunner/cache` on the
machine.

Setting the `XDG_DATA_HOME` environment variable tells Podman to use a path
somewhere in the mounted volume for container storage instead of
`~/.local/share/containers/storage`.

Running `podman build` after making a change to the source code, we see the
runner use the cache part of the way; up until copying the changed code at step
five.

.. class:: full-width
.. code::

    STEP 1/7: FROM registry.suse.com/bci/rust:1.66 AS build
    STEP 2/7: WORKDIR /graph-do-smell
    --> Using cache 04e88ce4a178ccb9b25c0c9ccb362e283083fe94e98ae19dcc0ade8896753a02
    --> 04e88ce4a17
    STEP 3/7: COPY Cargo.toml Cargo.lock .
    --> Using cache c150b0fdb80a8537f513da3178453130692ff19e5dbb94dd33765d9cd323effe
    --> c150b0fdb80
    STEP 4/7: RUN cargo fetch --locked --target x86_64-unknown-linux-gnu
    --> Using cache c81843da6bc54b4781629c28a62b8fdc64d1997cb952b6b31275c8d0ee1a211f
    --> c81843da6bc
    STEP 5/7: COPY . .
    --> 5848547a2fc
    STEP 6/7: RUN cargo build --locked --release --offline
       Compiling proc-macro2 v1.0.51
       Compiling unicode-ident v1.0.6
       Compiling quote v1.0.23
       Compiling syn v1.0.109
    ...

Pretty freakin' neato.

.. aside::

   Fun fact; if the runner tries to run `podman build` without using the cache, it will
   likely fail while trying to set up an overlay. I think you aren't allowed to
   make an overlay backed by another overlay. And since the machine was configured
   with `Volatile=overlay`, it's running with
   an overlay over its root filesystem. Podman notices this and tries to use an
   overlay with fuse instead of overlayfs, but it can't I guess because
   `/dev/fuse` isn't available to the machine or something. But, Podman *can*
   create overlays without fuse if it uses the mount provided by
   lvm-cache-friend. Since that filesystem type isn't `overlay` like the rest of
   the machine.

.. picture:: container847lm.svg

   .. source::
      :srcset: container847dm.svg
      :media: (prefers-color-scheme: dark)

graph-do-smell
--------------

I made `a repository on GitHub for this at
github.com/sqwishy/graph-do-smell
<https://github.com/sqwishy/graph-do-smell>`_. The Dockerfile and the Python
script in the `misc/` directory show a few more details about building
the GitHub runner machine and running the lvm-cache-friend service.

When I started this, I wanted an uncomplicated program to test this with so I
picked a weird Rust thing I made a long time ago but never did anything with.
All it does is fetch and parse a web page and provide a GraphQL "API" to the HTML
document.

For example, getting the list of titles and links from the front page of
"hacker" "news".

.. class:: full-width
.. code:: shell

   cargo run -- \
       '{
          get(url: "https://news.ycombinator.com/")
          {
            select(select: ".athing .titleline > a")
            { text href }
          }
        }' \
        < /dev/null | jq .get.select
    [
      {
        "text": "Launch HN: Sidekick (YC W23) – AI support bot for developers",
        "href": "item?id=35184120"
      },
      {
        "text": "Triplebyte Acquired by Karat",
        "href": "https://karat.com/blog/post/karat-acquires-leading-adaptive-assessment-technology-from-triplebyte/"
      },
      {
        "text": "The birth of a package manager",
        "href": "https://ochagavia.nl/blog/the-birth-of-a-package-manager/"
      },
      ...

Or the items from the index of `froghat.ca <https://froghat.ca>`_.

.. class:: full-width
.. code:: shell

    cargo run -- \
       '{
          get(url: "https://froghat.ca")
          {
            select(select: "li:not(.delimiter)")
            {
              title: select(select: "a.title") { text href }
              time: select(select: "time") { datetime: attr(attr: "datetime") }
            }
          }
        }' < /dev/null | jq .get.select
    [
      {
        "title": [
          {
            "text": "Why is it four clicks to view GitHub workflow logs?",
            "href": "https://froghat.ca/2023/02/github-clicks"
          }
        ],
        "time": [
          {
            "datetime": "2023-02-21"
          }
        ]
      },
      {
        "title": [
          {
            "text": "Think Helvetica",
            "href": "https://froghat.ca/2023/02/think-helvetica"
          }
        ],
        "time": [
          {
            "datetime": "2023-02-06"
          }
        ]
      },
      {
        "title": [
          {
            "text": "CEO Robrick-Patbert Froghat’s email to froghat.ca employees",
            "href": "https://froghat.ca/2022/11/to-froghat.ca-employees"
          }
        ],
        "time": [
          {
            "datetime": "2022-11-30"
          }
        ]
      },
      ...

So the workflow for graph-do-smell builds this Rust program in Podman on my
self-hosted runner using the funny cache.

Anyway, I had imagined this post to be *much* shorter. Just featuring
snapshots of thin volumes with LVM and using it from a workflow.
There ended up being some surprises, like troubleshooting Podman and
figuring out the options for the GitHub runner and setting it up to re-register
itself every single time it starts up after doing one single job.

After all that, I don't even know how to end this post.
I can inventory the things and explain them and how they're barely held
together; but I can't convey the experience of it working over time -- which would be kind of the neat part.
And every time I read this, my brain needs a shower.
Maybe it's trying to remind me that computers are for looking at cat pictures.
I guess I can pretend like this unsatisfying conclusion is
some poetic parallel to the described experience itself.

On the bright side, the GitHub token this thing is using will expire in a few
days and the actual literal daemon will stop working and disappear in time
like all things.

A froghat.ca/2023/03/github-runner-cache/og.png => froghat.ca/2023/03/github-runner-cache/og.png +0 -0
M fucko/rstext.py => fucko/rstext.py +5 -0
@@ 36,6 36,11 @@ def nowrap(name, rawtext, text, lineno, inliner, options={}, content=[]):


@rst_role
def smolcaps(name, rawtext, text, lineno, inliner, options={}, content=[]):
    return [nodes.inline(text=text, classes=["smolcaps"])], []


@rst_role
def abbr(name, rawtext, text, lineno, inliner, options={}, content=[]):
    import re


M static/css/meme.sass => static/css/meme.sass +6 -3
@@ 118,6 118,9 @@ $orange: #d65d0e
  font-variant: small-caps
  font-size:    1.2em

.smolcaps
  font-variant-caps: all-small-caps

.nowrap
  white-space: nowrap



@@ 133,7 136,7 @@ p > code
  padding: 1px

p > code
  background-color:   #fbf1c7
  background-color:   #fcfaec
  @media (prefers-color-scheme: dark)
    background-color: #282828



@@ 248,8 251,8 @@ aside.aside dl,
.footnote p,
figure > figcaption
  margin-top: 0 // try not to push the aside stuff further down than it needs to be?
  font-size: 1.1rem
  line-height: 1.3
  font-size: 1.2rem
  line-height: 1.4

/* support the logo in the h1? and social links below? */
main article header h1