The queue runner no longer uses this field, and it doesn't provide
very interesting historical data (mostly SSH failures), but it takes
up a lot of space. Also, it contained some bad UTF-8 which was
preventing an upgrade to Postgres 9.5, so a good occasion to get rid
of it.
This removes the "busy", "locker" and "logfile" columns, which are no
longer used by the queue runner. The "Running builds" page now only
shows builds that have an active build step.
This is to properly separate channels from regular jobs and also make
sure that we can always iterate on them, no matter whether the build has
failed. The reason why we were not able to do this until now was because
we were iterating on the build products, and whenever some constituent
of a channel job has failed, we didn't get a build output.
So whenever there is a meta.isHydraChannel, we can now properly
distinguish it from the other jobs.
I still don't have any clue, why "make -C src/sql update-dbix" without
*any* modifications tries to create additional schema definitions. But
I've checked the md5sums of the existing schema definitions and they
don't seem to match, so it seems that they already have been tampered
with.
Signed-off-by: aszlig <aszlig@redmoonstudios.org>
Builds can now emit metrics that Hydra will store in its database and
render as time series via flot charts. Typical applications are to
keep track of performance indicators, coverage percentages, artifact
sizes, and so on.
For example, a coverage build can emit the coverage percentage as
follows:
echo "lineCoverage $pct %" > $out/nix-support/hydra-metrics
Graphs of all metrics for a job can be seen at
http://.../job/<project>/<jobset>/<job>#tabs-charts
Specific metrics are also visible at
http://.../job/<project>/<jobset>/<job>/metric/<metric>
The latter URL also allows getting the data in JSON format (e.g. via
"curl -H 'Accept: application/json'").
For presentation purposes, we need to know what builds are part of an
aggregate build. So at evaluation time, look at the "members"
attribute, find the corresponding builds in the eval, and create a
mapping in the AggregateMembers table.
The catalyst-action-rest branch from shlevy/hydra was an exploration of
using Catalyst::Action::REST to create a JSON API for hydra. This commit
merges in the best bits from that experiment, with the goal that further
API endpoints can be added incrementally.
In addition to migrating more endpoints, there is potential for
improvement in what's already been done:
* The web interface can be updated to use the same non-GET endpoints as
the JSON interface (using x-tunneled-method) instead of having a
separate endpoint
* The web rendering should use the $c->stash->{resource} data structure
where applicable rather than putting the same data in two places in
the stash
* Which columns to render for each endpoint is a completely debatable
question
* Hydra::Component::ToJSON should turn has_many relations that have
strings as their primary keys into objects instead of arrays
FixesNixOS/hydra#98
Signed-off-by: Shea Levy <shea@shealevy.com>
It's pointless to store these, since Nix knows where the logs are.
Also handle (in fact require) Nix's new log storage scheme. Also some
cleanups in the build page.
This gets rid of the openHydraDB function and ensures that we
open the database in a consistent way.
Also drop the PostgreSQL sequence hacks. They don't seem to be
necessary anymore.
The singleton table SchemaVersion contains the current version
of the Hydra database schema. This can be used to upgrade the
schema on the fly.
Also reran the DBIx::Class schema loader.
recording the builds that are part of a jobset evaluation. We need
this to be able to answer queries such as "return the latest NixOS
ISO for which the installation test succeeded". This wasn't previously
possible because the database didn't record which builds of (say)
the `isoMinimal' job and the `tests.installer.simple' job came from
the same evaluation of the nixos:trunk jobset.
Keeping a record of evaluations is also useful for logging purposes.
faster, from about 4.5s to 1.0s for the global "latest" channel.
Note that the query is only fast if the "IndexBuildsOnJob" and
"IndexBuildsOnJobAndIsCurrent" indices are dropped - if they exist,
PostgreSQL will use those instead of the more efficient
"IndexBuildsOnJobFinishedId" index. Looks like a bug in the planner
to me...
