`lookup('tls', ...)` aligns a cross-app domain to the consumer named by
`application_id` (utils/tls_common.py `align_domain_to_consumer`): a
clearnet-primary consumer gets the clearnet sibling of an onion-primary
target. The carrier key does not cover `application_id`, so a park that
renders inside a role hands that role's alignment to every later role
whose key matches.
The constructor and `tasks/utils/setup/role.yml` park at play scope,
where `application_id` is undefined. The re-park in
`roles/sys-token-store/tasks/write.yml` (67f6c8d7e8) and the nested-load
re-park render inside the caller: `svc-prx-openresty` at the preload
loader, `web-app-stalwart` or a provider role on the NFS host, the web
app itself under `sys-stk-front-base`. In a tor deploy that turned onion
targets into clearnet domains for onion-primary roles served from such a
park, and baked the caller's group into Nextcloud's sociallogin
`groupMapping`.
Drop `application_id` from the render's variables and from the
templar's for the duration of the render, so every park carries the
play-scope result the constructor parks have always carried. Rename the
nested re-park task so its log lines do not read as a role boundary.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Job 116975298820 (Nextcloud#5, swarm, arch, btrfs, main 463df06202) hit
its budget (rc=124 after 20136 s). The app phase loads every service as a
nested `tasks/utils/load/app.yml` include under sys-service-loader, so
`tasks/utils/setup/role.yml` parks no carrier between `svc-virt-kata`
(L6073) and `update` (L38213). The only re-park in that stretch is the one
in `roles/sys-token-store/tasks/write.yml`, and Stalwart's user management
reaches it on the manager alone. After its last token write (L23574) the
manager carried the new key while both workers kept the old one and
rendered the full tree on every task: 85 non-wait tasks of 30 s or more, 63 min
from Keycloak (L25641) to the carry past `update` (L38237).
Park the carrier after every nested load on every host of the include.
A re-park whose key still matches serves the carried payload without
rendering.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
Since 778c18fb23 the carrier key holds the tokens file's mtime and size.
sys-token-store changed that stat on every inclusion (00_core.yml
touched the file) and on every persisted token, and nothing re-parked a
carrier afterwards. Every later task's fresh worker then rendered the
applications SPOT cold, 30 to 80 s each. On main fea6f31d9f (run
38812964308) seven heavy jobs logged 194 to 287 such tasks and ran out
of the 20400 s budget; the same jobs before 778c18fb23 logged 65 to 83,
all of them real waits.
- 00_core.yml touches the store with modification_time and access_time
preserved, so it only creates a missing file. In swarm the controller
sees the store over NFS with attribute caching, and the touch alone
made the second pass go cold without any write.
- write.yml re-parks the carrier when the persist or the controller
mirror changed the store. Both run once, so every host that ran the
include gets the same verdict.
- tasks/utils/setup/role.yml re-parks after every role on every host,
so hosts that did not run the writing role recover too. Where the
key still matches this serves the carried payload; measured 0.1 s per
role in a local compose deploy.
- The tokens file enters the key as the SHA-256 of its content,
memoised per inode, mtime and size, so a touch no longer changes the
key. A stat that still matches serves the memo (1.67 us against
1.41 us for the old stat signature), and a stale stat keeps key and
YAML cache on the same old content instead of pairing new content
with an old key.
- applications_carrier opens the tokens file before it computes the
key, so on the NFS-mounted controller the parked key reflects the
revalidated attributes rather than a cached stat that changes a
minute later.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The constructor parked no applications carrier between the merge block
and the token store, so every lookup in the svc-swarm-node, svc-storage,
svc-registry and svc-virt bootstrap rendered the SPOT cold, 25 to 30 s
each on a loaded host.
A carrier there was unsafe: in swarm, svc-storage-nfs-server mounts the
NFS export over the controller's DIR_VAR_LIB, so the tokens file the
render reads can appear in the middle of that section, and the cache key
did not notice. merged_applications_cache_key now includes the tokens
file's path, mtime and size, as the users cache key already did, so a
carrier rejects itself once the tokens change. A carrier parked after
the add_host tasks then serves the bootstrap roles. It is parked only in
swarm mode: in compose the section runs in about a second, so a carrier
there would add a render without saving one.
In a swarm drill of web-app-prometheus up to the known NFS probe-write
failure, "Resolve the NFS server backend flavor" went from 29.6 s to
0.07 s, "Probe-mount the NFS export" from 26.4 s to 0.4 s, "Mount
cluster-shared infinito state on controller" from 23.7 s to 0.5 s and
"Ensure Docker-In-Docker DNS works" from 30.0 s to 3.6 s; the run to
that point took 768 s instead of 1735 s.
Closes#925
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
113113e553 parks the carrier after the token store, 165 lines below the merge
block, so each of the block's six tasks still renders the applications SPOT
cold in its own forked worker. Measured in CI run wp-swarm-tor2 they cost
323.51s in the PASS 1 main play, 180.39s in the backup play and 479.79s in
PASS 2.
The cost is the render, not the work. Two tasks in that block share the exact
construct `defaults_X | combine(X | default({}, true), recursive=True)`: design
takes 0.247s and service_provider 75.94s. The difference is that
defaults_service_provider is dense with lookup('config'/'users'/'domains'/'tls')
and every one of them lands in get_merged_applications.
The carrier cannot simply move up. get_merged_applications serves the carrier
fact whenever the key matches, and the carrier action goes through that same
path, so a second carrier task would be handed the first one's payload instead
of rendering. merged_applications_cache_key reads neither group_names nor the
token file, and with a real templar 71 of 265 applications differ by
group_names alone, so a carrier left standing across add_host or the token
store would be served where a fresh render belongs.
So the block opens its own carrier and drops it again at the end. Nothing
outside the block changes: every task from sys-version to the stage-wide
carrier renders exactly as before.
Placement follows measurement. A per-key perturbation test over the whole
265-application payload, with the credential regeneration noise floor
subtracted and every role in group_names, finds exactly two reads of the seven
facts the block sets:
.web-app-matomo.services.matomo.excluded_ips[0] <- networks
.web-app-wordpress.services.wordpress.title <- service_provider
networks is the block's first task and service_provider its last, which is why
the carrier opens after the one and is dropped before the other takes effect.
The block's tasks already render before service_provider is merged today, so
the frozen payload is what they would have rendered anyway.
The action gains a `clear` argument so the playbook never spells the private
fact name. Parking the carrier serves a payload in 0.000s against a 3.417s cold
render; a wrong key and a cleared fact both force the render again, which is
what makes the drop task work.
Worth roughly 806s of the 20199s job, against a floor of 673.6s.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Ansible forks a fresh worker process for every task, so the in-process
cache behind lookup('applications') was cold in every task. Each task that
touched the merged applications tree (config, domains, nginx, tls, cdn and
their callers) paid a full render: about 16 s on main and 21 to 23 s on this
branch, where ten more application roles carry MCP and AI Jinja. Measured on
the workspace jobs of run 33574056480 against the main run: 331 such tasks
(93 min, 39 % of the job) versus 391 (141 min, 43 %); the same unit is 9 to
43 % of every compose and swarm deploy job on disk. The parent process
rendered once per play, late, while templating a task name, and only the
tasks after that point ran warm.
The constructor now renders once through the new applications_carrier
action and parks the payload with its cache key in the host fact
_INFINITO_APPLICATIONS_RENDERED. Every later worker inherits the fact at
fork time and get_merged_applications serves it while the key (roles dir,
applications, users, DOMAIN_PRIMARY, SYSTEM_EMAIL_DOMAIN) still matches; a
mismatch falls back to the old render. The action masks its own result: the
payload is the whole tree with every credential, and CI runs with
MASK_CREDENTIALS_IN_LOGS false.
The task sits after the networks, design and service_provider merges, after
the add_host placements and after the token store. An independent review
showed that an earlier position bakes stale values into the play: the
web-app-wordpress title rendered to 'Blog by ' because service_provider did
not exist yet. User records inside the payload are the token store's state
at render time; readers of tokens captured later keep using lookup('users')
or lookup('config', app, 'users.…'), which read the users cache fresh.
Expected savings per job: about 130 min on a fork workspace run, 16 min on
an average compose deploy and 28 min on an average swarm deploy. The
constructor's own lookups before the carrier stay cold.
Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
kevinveenbirkenbachandClaude Opus 5.5