It was hitting
assert(reservation.unique());
Since we do want the machine reservation to be released before calling
wakeDispatcher(), let's use a different object for keeping track of
active steps.
We now kill active build steps when there are no more referring
builds. This is useful e.g. for preventing cancelled multi-hour TPC-H
benchmark runs from hogging build machines.
If two active steps of the same build failed, then the first would be
marked as "failed", but the second would end up as "orphaned", causing
it to be marked as "aborted" later on. Now it's correctly marked as
"failed".
Without this I got the following error in my journal:
Oct 25 22:42:29 mymachine hydra-evaluator[4085]: starting evaluation of jobset ‘myproject:.jobsets’
Oct 25 22:42:29 mymachine hydra-evaluator[4085]: timeout: failed to run command ‘hydra-eval-jobset’: No such file or directory
Oct 25 22:42:29 mymachine hydra-evaluator[4085]: evaluation of jobset ‘myproject:.jobsets’ finished with status 32512
Without this, if (failed or aborted) derivations have been
garbage-collected, there is no way to restart them, which is very
annoying. Now we set a forceEval flag in the jobset to cause it to be
re-evaluated even if none of the inputs have changed.
‘basicDrv.inputSrcs’ also contains the outputs of inputDrvs. These
don't necessarily exist in the local store, so copying them may cause
an exception. We should only copy the real inputSrcs.
Some Hydra API requests were vulnerable to XSRF attacks, e.g. you
could have a form on another website using http://hydra/logout as the
form action. So we now require POST requests to come from the same
origin.
Reported by Hans-Christian Esperer.
This rewrites the top-level loop of hydra-evaluator in C++. The Perl
stuff is moved into hydra-eval-jobset. (Rewriting the entire evaluator
would be nice but is a bit too much work.) The new version has some
advantages:
* It can run multiple jobset evaluations in parallel.
* It uses PostgreSQL notifications so it doesn't have to poll the
database. So if a jobset is triggered via the web interface or from
a GitHub / Bitbucket webhook, evaluation of the jobset will start
almost instantaneously (assuming the evaluator is not at its
concurrency limit).
* It imposes a timeout on evaluations. So if e.g. hydra-eval-jobset
hangs connecting to a Mercurial server, it will eventually be
killed.
