The impact was the application error was no longer being nulled out,
causing the application error to continue to be shown after
transitioning.
This never happened in apps since it's not possible to transition away
from the error screen.
Introduce a device manager that manages the lifecycle of device plugins
on the client. It fingerprints, collects stats, and forwards Reserve
requests to the correct plugin. The manager, also handles device plugins
failing and validates their output.
The old logic for cancelling duplicate blocked evaluations by job id had
the issue where the newer evaluation could have additional node classes
that it is (in)eligible for that we would not capture. This could make
it such that cluster state could change such that the job would make
progress but no evaluation was unblocked.
Fix an issue in which the deployment watcher would fail the deployment
based on the earliest progress deadline of the deployment regardless of
if the task group has finished.
Further fix an issue where the blocked eval optimization would make it
so no evals were created to progress the deployment. To reproduce this
issue, prior to this commit, you can create a job with two task groups.
The first group has count 1 and resources such that it can not be
placed. The second group has count 3, max_parallel=1, and can be placed.
Run this first and then update the second group to do a deployment. It
will place the first of three, but never progress since there exists a
blocked eval. However, that doesn't capture the fact that there are two
groups being deployed.
For lifecycle operations such as Restart and Kill, the client should not
expect driver plugins to be well behaved and close their waitCh on
context cancelation. Always wait on the passed in context as well as the
waitCh.
Michael Lange