In swarm, docker stack deploy ignores depends_on, so the precheck
service and every init replica ran search_allocation_precheck.sh at the
same time. They shared one probe index: one invocation's PUT could fail
the shards_acknowledged check because another had created the index
first, and either one's cleanup could delete the other's probe. The
init service carries no replica override, so compose_replicas gives it
one task per host in the application group and the collision also
happens between init replicas.
A failing precheck task also never reached has_fatal_task in
stack_ready.sh: with restart_policy none it records a single error,
while has_fatal_task needs three. stack_ready.sh then kept answering
"not converged" until the handler ran out of retries. And a Running
init task counts as converged through running_current_spec, so the
swarm deploy never depended on init failing; the role's "wait for
Zammad init" task is what stops it.
The probe index now carries the container's hostname, which docker
sets to the container id, so concurrent invocations no longer share an
index. compose.yml.j2 renders the precheck service, and init's
service_completed_successfully dependency on it, only outside swarm.
Compose keeps its fast stop on a refusal; in swarm, init runs the same
check in front of zammad-init, a refusal leaves Zammad unseeded, the
wait for Zammad init fails the deploy, and the init service logs carry
the allocation explanation.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
On a data disk with less free space than the high disk watermark asks
for, Elasticsearch creates indices but assigns none of their primary
shards. `zammad-init` then reports every search index update as failed
and never exits, so `compose up` waits on
`service_completed_successfully` until its 1800 s task timeout and the
deploy fails without naming the cause (#850). Elasticsearch's default
high watermark is an absolute 150 GB headroom on a large disk.
A new one-shot `precheck` service runs `search_allocation_precheck.sh`
with `restart: "no"`, and `init` depends on it with
`service_completed_successfully`:
- it waits a bounded time for `_cluster/health`;
- it creates a one-shard, zero-replica probe index with
`wait_for_active_shards=1`;
- once Elasticsearch allocates it, it deletes the probe and exits 0;
- otherwise it prints the creation answer and the answer of
`_cluster/allocation/explain` and exits 1.
The check sits in its own service because `init` keeps
`restart: on-failure`: wrapped into `init`, the failing check was
restarted seven times within eight minutes on a local deploy while
`compose up` kept waiting. Inside the stack, a `restart: "no"`
dependency that exits 1 made `compose up` fail after one second with
`service "pre" didn't complete successfully: exit 1`.
Every curl call carries --connect-timeout and --max-time, so a hanging
request cannot outlast the bounded wait. The image's entrypoint passes
any non-`zammad-*` command through `exec "$@"` (bin/docker-entrypoint of
7.1.2), and the image ships `curl`. The watermark values themselves come
with feature/store-i18n (b82591ba9d); this change covers inventories
without a variant cap.
Co-Authored-By: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
kevinveenbirkenbachandClaude Opus 5.5