Yet again, manual testing is proving to be insufficient. I'm pretty
sure I wrote this code but lost it in a rebase, or perhaps the switch
to result classes.
At any rate, this implements the actual "fetch a retry row and run it"
for the hydra-notify daemon.
Tested by hand.
Get the number of seconds before the next retriable task is ready.
This number is specifically intended to be used as a timeout, where
`undef` means never time out.
This gives us a place to put helper functions that act on entire
tables, not just individual records.
This should be a backwards compatible change, except in places we're
manually using result class names.
Without this commit, two jobsets using the same repository as input,
but different `deepClone` options, end up incorrectly sharing the same
"checkout" for a given (`uri`, `branch`, `revision`) tuple. The
presence or absence of `.git` is determined by the jobset execution
order.
This patch adds the missing `isDeepClone` boolean to the cache key.
The database upgrade script empties the `CachedGitInputs` table, as we
don't know if existing checkouts are deep clones. Unfortunately, this
generally forces rebuilds even for correct `deepClone` checkouts, as
the binary contents of `.git` are not deterministic.
Fixes#510
If the project isn't declarative, who cares about it in the response? After
setting the `declfile` to an empty string, everything related to declarative-
ness is wiped out, anyways.
It appears the Jobs table was removed in
8adb433e3b48638f3faaecc61ae5cb63efefff6e, but the Jobsets schema was never
updated to reflect this. This relationship was added in
efa1f1d4fbdc468c61f7403e8709d0295e052c7f, roughly 3 months prior.
Previously, one would see a message similar to the following logged when
deleting a jobset:
17:38:23 hydra-server.1 | DBIx::Class::Relationship::CascadeActions::delete(): Skipping cascade delete on relationship 'jobs' - related resultsource 'Hydra::Schema::Jobs' is not registered with this schema at /home/vin/workspace/vcs/hydra/src/script/../lib/Hydra/Controller/Jobset.pm line 106
To further align with the API, we return custom JSON in order to display a
`visible` field rather than `hidden` -- a `PUT` request expects `visible`, while
a `GET` request returns `hidden`.
This also allows us to rename the `jobsetinputs` field to `inputs` for the same
reason: `PUT` expects `inputs`, while `GET` returns `jobsetinputs`.
`PUT /jobsets/{project-id}/{jobset-id}` expects a JSON object `inputs` which
maps a name to a name, a type, a value, and a boolean that enables emailing
responsible parties. However, `GET /jobsets/{project-id}/{jobset-id}` responds
with an object that doesn't contain a value, but does contain a jobsetinputalts
(which is old and should be unused).
This commit aligns the two by removing the old and unused `jobsetinputalts` from
the response and replaces it with `value`.
* made all columns available via the API (except for forceeval)
* renamed flakeref to flake to unify the API with the database schema
* renamed inputs to jobsetinputs to unify the API with the database schema
Passwords that are sha1 will be transparently upgraded to argon2,
and future comparisons will use Argon2
Co-authored-by: Graham Christensen <graham@grahamc.com>
The default password comparison logic does not use
constant time validation. Switching to constant time
offers a meager improvement by removing a timing
oracle.
A prepatory step in moving to Argon2id password storage, since we'll need this change anyway after
for validating existing passwords.
Co-authored-by: Graham Christensen <graham@grahamc.com>
DBIx likes to eagerly select all columns without a way to really tell
it so. Therefore, this splits this one large column in to its own
table.
I'd also like to make "jobsets" use this table too, but that is on hold
to stop the bleeding caused by the extreme amount of traffic this is
causing.
Duplicating this data on every record of the builds table cost
approximately 4G of duplication.
Note that the database migration included took about 4h45m on an
untuned server which uses very slow rotational disks in a RAID5 setup,
with not a lot of RAM. I imagine in production it might take an hour
or two, but not 4. If this should become a chunked migration, I can do
that.
Note: Because of the question about chunked migrations, I have NOT
YET tested this migration thoroughly enough for merge.
A postgresql column which is non-null and unique is treated with
the same optimisations as a primary key, so we have no need to
try and recreate the `id` as the primary key.
No read paths are impacted by this change, and the database will
automatically create an ID for each insert. Thus, no code needs to
change.
hydra.nixos.org is already running this rev, and it should be safe to
apply to everyone else. If we make changes to this migration, we'll
need to write another migration anyway.
Lowercasing is due to postgresql not having case-sensitive table names.
It always technically workde before, but those table names never
existed literally.
The switch to generating from postgresql is to handle an upcoming
addition of an auto-incrementign ID to the Jobset table. Sqlite doesn't
seem to be able to handle the table having an auto incrementing ID
field which isn't the primary key, but we can't change the primary
key trivially.
Since hydra doesn't support sqlite and hasn't for many year anyway,
it is easier to just generate from pgsql directly.
