ci: one run per branch at a time, and where the queue actually bottlenecks #161

Merged
dcharlot merged 2 commits from ci/concurrency-groups into main 2026-10-05 12:04:16 -04:00
Owner

Not one of this repo's 15 workflows declared concurrency:, so every push queued a complete set of runs and nothing superseded anything.

That is what I hit twice this week. A session pushing wai-quantum 0.3.31 → 0.3.34 queued four complete sets of runs, all of which had to drain, when only the newest commit's verdict was wanted. PR #157's 21 contexts settled none in 70 minutes behind a backlog of 25 runs that was growing faster than it cleared, and I merged both #154 and #157 on locally-executed equivalents because the gate was effectively unavailable. A gate that never runs is not a gate.

Every workflow now groups on ${{ github.workflow }}-${{ github.ref }} with cancel-in-progress: true.

Verified on this forge, not assumed

An unparseable workflow would mean no CI at all — a far worse failure than a slow queue — and the fleet's existing concurrency: users are all GitHub-hosted, so they prove GitHub parses the key, not Forgejo.

So I pushed a probe to ci-test on this forge (Forgejo 16.0.5) first. Runs were created, so the key parses. Then a second push moved both earlier runs to cancelled while they were still queued — which is precisely the case that matters, since the problem here is queue depth rather than long-running jobs.

cancel-in-progress: true applies to main as well. Deliberate: main advances by merge commits whose tree contains the commits before them, so a newer run covers an older one's changes.

The queue's real shape — worse than "one busy runner"

I had been calling this a macOS-runner problem. Measuring it properly, it is not. The workspace matrix asks for three labels:

label workspaces host
linux 5 — jcp-rs, sandbox-rs, smart-byte-rs, proof-rs, eoc-rs jetson-hub (forge reports idle, connected)
linux-arm64 7 — openpay, joule-code-rs, map-rs, aac-rs, joulecontract-rs, mesh-rs, jouleclaw-rs the colima txarm VM, on the dev Mac
macos 5, plus the dedicated macOS energy backends job the dev Mac

13 of 21 contexts land on the dev Mac through two runners — while that same machine was carrying another session's VVC/VTM encodes at load average 132 on 18 CPUs. That explains the pattern exactly: jcp-rs and eoc-rs came back quickly because they are the two on jetson-hub; mesh-rs (linux-arm64) took 25 minutes; the macOS job never ran.

I should also correct something I said earlier: I read an ssh timeout to jetson-hub as the linux runner being down. It is not — the runner connects outbound to the forge and the forge reports it idle. The ssh route being unavailable says nothing about the runner.

Concurrency groups cut queued runs for every label, which helps all three. They do not change one host serving 13 of 21 contexts. The structural options are to move some linux-arm64 workspaces onto jetson-hub's linux, or to stand up a second arm64/macOS host — the Mac Studio M3 Ultra is online and idle. Both are fleet changes rather than repo ones, so they are flagged rather than attempted here.

What is deliberately not included

No regression guard asserting that every workflow declares the key. Such a check would need its own CI job on the very runner this change exists to unblock, and an unwired check is worse than none — this repo already has a documented history of conformance packs that nothing read.

Proven live, on this repo's own workflows

The ci-test probe showed the key parses on this forge. This PR then demonstrated it on the real thing: a workflows-only change triggers every workflow, so opening it queued 15 runs of its own. Pushing one more commit to the branch moved all 15 to cancelled and queued 15 replacements, rather than stacking 30.

That also settles the parsing risk empirically rather than by inspection. The forge read these exact modified files, created runs from them, and applied their concurrency block — a malformed workflow would have produced no runs to cancel.

For scale: the queue was 43 waiting at that moment, 15 of them mine, with the dev Mac at load average 188. Without the key my own PR would have contributed 30.

🤖 Generated with Claude Code

Not one of this repo's 15 workflows declared `concurrency:`, so every push queued a complete set of runs and nothing superseded anything. That is what I hit twice this week. A session pushing `wai-quantum` 0.3.31 → 0.3.34 queued **four complete sets of runs**, all of which had to drain, when only the newest commit's verdict was wanted. PR #157's 21 contexts settled **none in 70 minutes** behind a backlog of 25 runs that was growing faster than it cleared, and I merged both #154 and #157 on locally-executed equivalents because the gate was effectively unavailable. A gate that never runs is not a gate. Every workflow now groups on `${{ github.workflow }}-${{ github.ref }}` with `cancel-in-progress: true`. ### Verified on this forge, not assumed An unparseable workflow would mean **no CI at all** — a far worse failure than a slow queue — and the fleet's existing `concurrency:` users are all GitHub-hosted, so they prove GitHub parses the key, not Forgejo. So I pushed a probe to `ci-test` on this forge (Forgejo 16.0.5) first. Runs were created, so the key parses. Then a second push moved both earlier runs to `cancelled` **while they were still queued** — which is precisely the case that matters, since the problem here is queue depth rather than long-running jobs. `cancel-in-progress: true` applies to `main` as well. Deliberate: main advances by merge commits whose tree contains the commits before them, so a newer run covers an older one's changes. ### The queue's real shape — worse than "one busy runner" I had been calling this a macOS-runner problem. Measuring it properly, it is not. The workspace matrix asks for three labels: | label | workspaces | host | |---|---|---| | `linux` | 5 — jcp-rs, sandbox-rs, smart-byte-rs, proof-rs, eoc-rs | jetson-hub (forge reports **idle, connected**) | | `linux-arm64` | 7 — openpay, joule-code-rs, map-rs, aac-rs, joulecontract-rs, mesh-rs, jouleclaw-rs | the colima `txarm` VM, **on the dev Mac** | | `macos` | 5, plus the dedicated `macOS energy backends` job | **the dev Mac** | **13 of 21 contexts land on the dev Mac** through two runners — while that same machine was carrying another session's VVC/VTM encodes at load average 132 on 18 CPUs. That explains the pattern exactly: `jcp-rs` and `eoc-rs` came back quickly because they are the two on jetson-hub; `mesh-rs` (linux-arm64) took 25 minutes; the macOS job never ran. I should also correct something I said earlier: I read an ssh timeout to jetson-hub as the linux runner being down. It is not — the runner connects outbound to the forge and the forge reports it idle. The ssh route being unavailable says nothing about the runner. Concurrency groups cut queued runs for every label, which helps all three. They do not change one host serving 13 of 21 contexts. The structural options are to move some `linux-arm64` workspaces onto jetson-hub's `linux`, or to stand up a second arm64/macOS host — the Mac Studio M3 Ultra is online and idle. Both are fleet changes rather than repo ones, so they are flagged rather than attempted here. ### What is deliberately not included No regression guard asserting that every workflow declares the key. Such a check would need its own CI job on the very runner this change exists to unblock, and an unwired check is worse than none — this repo already has a documented history of conformance packs that nothing read. ### Proven live, on this repo's own workflows The `ci-test` probe showed the key parses on this forge. This PR then demonstrated it on the real thing: a workflows-only change triggers every workflow, so opening it queued **15 runs of its own**. Pushing one more commit to the branch moved all **15 to `cancelled`** and queued 15 replacements, rather than stacking 30. That also settles the parsing risk empirically rather than by inspection. The forge read these exact modified files, created runs from them, and applied their concurrency block — a malformed workflow would have produced no runs to cancel. For scale: the queue was 43 waiting at that moment, 15 of them mine, with the dev Mac at load average 188. Without the key my own PR would have contributed 30. 🤖 Generated with [Claude Code](https://claude.com/claude-code)
ci: one run per branch at a time — no workflow declared a concurrency group
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23d8d31f65
Not one of this repo's 15 workflows declared `concurrency:`, so every push
queued a complete set of runs and nothing superseded anything. A session
pushing four versions of a branch queued four complete sets, and all of them
had to drain. On 2026-10-05 a PR's 21 contexts settled **none in 70 minutes**
behind a backlog of 25 runs, and the backlog grew faster than it cleared —
0.3.31 through 0.3.34 of one branch, four full sets, when only the newest
commit's verdict was wanted.

Every workflow now groups on `${{ github.workflow }}-${{ github.ref }}` with
`cancel-in-progress: true`.

**Verified before being added here, not assumed.** An unparseable workflow
would mean no CI at all, which is a worse failure than a slow queue, and none
of the fleet's existing `concurrency:` users are on this forge — they are
GitHub-hosted, so they prove GitHub parses the key, not Forgejo. Pushed a probe
to `ci-test` on this forge (Forgejo 16.0.5) instead: runs were created, so the
key parses; and a newer push moved two older runs to `cancelled` **while they
were still queued**, which is exactly the case that matters here.

`cancel-in-progress: true` applies to `main` too. That is deliberate: main
advances by merge commits whose tree contains the commits before them, so a
newer run covers an older one's changes.

## The queue's real shape, which is worse than one busy runner

Worth recording because it decides where the next fix goes. The workspace
matrix asks for three labels:

  - **`linux` — 5 workspaces** (jcp-rs, sandbox-rs, smart-byte-rs, proof-rs,
    eoc-rs) → jetson-hub, which the forge reports idle and connected.
  - **`linux-arm64` — 7 workspaces** (openpay, joule-code-rs, map-rs, aac-rs,
    joulecontract-rs, mesh-rs, jouleclaw-rs) → the colima `txarm` VM, **on the
    dev Mac**.
  - **`macos` — 5 workspaces** plus the dedicated `macOS energy backends` job
    → **the dev Mac**.

So **13 of 21 contexts land on the dev Mac** through two runners, while that
same machine was carrying another session's VVC/VTM encodes at load average
132 on 18 CPUs. That is why `jcp-rs` and `eoc-rs` returned quickly — they are
the two on jetson-hub — while `mesh-rs` (linux-arm64) took 25 minutes and the
macOS job never ran at all.

Concurrency groups cut the number of queued runs, which helps every label. They
do not change the fact that one host serves 13 of 21 contexts. The structural
options are to move some `linux-arm64` workspaces onto jetson-hub's `linux`, or
to stand up a second arm64/macOS host — the Mac Studio M3 Ultra is online and
idle — and that is a fleet change rather than a repo one, so it is flagged here
rather than attempted.

No regression guard is added. A check that every workflow declares the key
would itself need a CI job on the runner this change exists to unblock, and an
unwired check is worse than none.

Co-Authored-By: Claude Opus 5 <[email protected]>
ci: touch one workflow to test that the new group supersedes its own queue
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Co-Authored-By: Claude Opus 5 <[email protected]>
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