This adds test coverage for 'compute_ctl', as it is now used by all
the python tests.
There are a few differences in how 'compute_ctl' is called in the
tests, compared to the real web console:
- In the tests, the postgresql.conf file is included as one large
string in the spec file, and it is written out as it is to the data
directory. I added a new field for that to the spec file. The real
web console, however, sets all the necessary settings in the
'settings' field, and 'compute_ctl' creates the postgresql.conf from
those settings.
- In the tests, the information needed to connect to the storage, i.e.
tenant_id, timeline_id, connection strings to pageserver and
safekeepers, are now passed as new fields in the spec file. The real
web console includes them as the GUCs in the 'settings' field. (Both
of these are different from what the test control plane used to do:
It used to write the GUCs directly in the postgresql.conf file). The
plan is to change the control plane to use the new method, and
remove the old method, but for now, support both.
Some tests that were sensitive to the amount of WAL generated needed
small changes, to accommodate that compute_ctl runs the background
health monitor which makes a few small updates. Also some tests shut
down the pageserver, and now that the background health check can run
some queries while the pageserver is down, that can produce a few
extra errors in the logs, which needed to be allowlisted.
Other changes:
- remove obsolete comments about PostgresNode;
- create standby.signal file for Static compute node;
- log output of `compute_ctl` and `postgres` is merged into
`endpoints/compute.log`.
---------
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
compute_ctl can panic, but `tracing` is used for logging. panic stderr
output can interleave with messages from normal logging. The fix is to
use the established way (pageserver, safekeeper, storage_broker) of using
`tracing` to report panics.
## Describe your changes
## Issue ticket number and link
## Checklist before requesting a review
- [x] I have performed a self-review of my code.
- [x] If it is a core feature, I have added thorough tests.
- [ ] Do we need to implement analytics? if so did you add the relevant
metrics to the dashboard?
- [ ] If this PR requires public announcement, mark it with
/release-notes label and add several sentences in this section.
If compute_ctl is launched without a spec file, it fetches it from the
control plane with an HTTP request. We cannot get the startup tracing
context from the compute spec in that case, because we don't have it
available on start. We could still read the tracing context from the
compute spec after we have fetched it, but that would leave the fetch
itself out of the context. Pass the tracing context in environment
variables instead.
Our scale-to-zero logic was optimized for short auto-suspend intervals,
e.g. minutes or hours. In this case, if compute was restarted by k8s due
to some reason (OOM, k8s node went down, pod relocation, etc.),
`last_active` got bumped, we start counting auto-suspend timeout again.
It's not a big deal, i.e. we suspend completely idle compute not after 5
minutes, but after 10 minutes or so.
Yet, some clients may want days or even weeks. And chance that compute
could be restarted during this interval is pretty high, but in this case
we could be not able to suspend some computes for weeks.
After this commit, we won't initialize `last_active` on start, so
`/status` could return an unset attribute. This means that there was no
user activity since start. Control-plane should deal with it by taking
`max()` out of all available activity timestamps: `started_at`,
`last_active`, etc.
compute_ctl part of neondatabase/cloud#4853
